From 1a52db0664d343628adcf5d8077aaa4ab65d91dc Mon Sep 17 00:00:00 2001
From: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Date: Fri, 30 Oct 2026 11:59:26 +0800
Subject: [PATCH 1/8] docs: describe 15 methods skills with applicability and
recommendations
Batch 2 of the #91 Round 2 plan applies the sidecar contract settled in batch 1
to the `methods/` family. Fifteen of the seventeen registered `methods/` skills
gain an `applicability` sidecar and an owner-supplied `recommendations` list.
Every value is traceable to a named section of that skill's own `SKILL.md`. No
value was carried across skills, and no hardware dimension was inferred from a
source's hardware: none of these fifteen bodies establishes a device
dependency, so none declares `hardware`.
The per-key meanings follow the contract agreed on the issue:
scope what the procedure applies to
prerequisites what must hold first: access, tooling, authorization
input_contract what the caller supplies
produced_artifact what it emits, at the body's evidence level
failure_modes how the procedure yields a wrong or unusable result
refusal_point where the body says it withholds a conclusion
`failure_modes` states how the procedure goes wrong in use and does not restate
`limitations`, which records what the record does not establish.
`tools/build_skill_index.py` emits four generator-owned `limitations` sentences
and then appends the sidecar's entries, so the two fields have different owners
and different jobs.
Key usage across the fifteen: `scope`, `input_contract`, `produced_artifact`,
`failure_modes` and `refusal_point` on all fifteen; `prerequisites` on
fourteen. `audit-fixed-workload-claim` states no precondition beyond its input
contract.
Each sidecar is a pure insertion: the diff removes no line from any
`metadata.json` and adds only the two top-level fields.
`docs/skill-coverage.md` regenerates from the new sources. The
`no-applicability` gap falls from 42 rows to 27.
Deferred to a follow-up and not included here: `kernel-writing-guide` and
`weight-loading-optimization`, the two `methods/` skills whose bodies do
establish a device dependency, and the `docs/knowledge-base.md` field-ownership
subsection that records these key meanings in the documentation tree.
No evaluation, verdict or promotion. `status` stays `candidate` and
`empirical_validation` is unchanged for all 77 skills. No matrix row was added
or edited; layer decisions are batch 5.
Agent-assisted-by: Claude / Opus 5.5 [effort=xhigh] (methods sidecar content)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
---
docs/skill-coverage.md | 34 ++++++-------
.../repo_packs/inferrsi/knowledge/README.md | 4 +-
.../ascend-aclgraph-capture-replay.json | 4 +-
.../ascend/skills/ascend-device-health.json | 4 +-
.../skills/ascend-distributed-parallel.json | 4 +-
.../ascend/skills/ascend-graph-mode.json | 4 +-
.../skills/ascend-model-adaptation.json | 4 +-
.../skills/ascend-operator-profiling.json | 4 +-
.../ascend/skills/ascend-operator-tuning.json | 4 +-
.../skills/ascend-optimization-casebook.json | 4 +-
.../skills/ascend-performance-analysis.json | 4 +-
.../ascend-video-diffusion-optimization.json | 4 +-
.../ascend/skills/ascendc-tiling-design.json | 4 +-
.../skills/cann-attribution-overlap.json | 4 +-
.../torchnpu-device-memory-lifecycle.json | 4 +-
...torchnpu-pinned-host-memory-lifecycle.json | 4 +-
.../skills/assess-serving-preemption.json | 49 +++++++++++++++---
.../assess-split-backward-schedule.json | 47 ++++++++++++++---
.../skills/audit-fixed-workload-claim.json | 45 +++++++++++++---
.../audit-h3-metal-fasth3-semantics.json | 4 +-
.../skills/audit-h3-runtime-residency.json | 4 +-
.../skills/audit-llama-runtime-state.json | 4 +-
.../audit-recurrent-kv-finalization.json | 4 +-
.../common/skills/audit-sd-cpp-residency.json | 4 +-
.../audit-sglang-diffusion-lifetimes.json | 4 +-
.../skills/audit-vllm-kv-lifetimes.json | 4 +-
.../bound-windowed-attention-replay.json | 4 +-
.../budget-speculative-verification.json | 4 +-
.../skills/calibrate-serving-simulation.json | 47 ++++++++++++++---
.../skills/cgroup-resource-controls.json | 4 +-
.../checkpoint-recovery-consistency.json | 51 ++++++++++++++++---
.../skills/choose-parallel-training-plan.json | 47 ++++++++++++++---
.../skills/cite-check-downstream-pr.json | 4 +-
.../common/skills/claim-contract.json | 4 +-
.../knowledge/common/skills/comfy-ui.json | 4 +-
.../common/skills/competitor-scan.json | 4 +-
.../skills/dcp-async-save-performance.json | 4 +-
.../skills/dense-performance-evidence.json | 47 ++++++++++++++---
.../diagnose-vllm-admission-pressure.json | 4 +-
.../skills/diffusers-invocation-state.json | 4 +-
.../common/skills/draft-acceptance-issue.json | 4 +-
.../knowledge/common/skills/dwarfstar.json | 4 +-
.../evaluate-elastic-serving-placement.json | 47 ++++++++++++++---
.../skills/generation-cache-lifecycle.json | 4 +-
.../common/skills/host-memory-management.json | 4 +-
.../skills/host-overhead-optimization.json | 4 +-
.../knowledge/common/skills/husky.json | 4 +-
.../skills/inference-benchmark-design.json | 51 ++++++++++++++++---
.../inference-optimization-casebook.json | 49 +++++++++++++++---
.../common/skills/kernel-writing-guide.json | 4 +-
.../common/skills/kv-tier-management.json | 4 +-
.../lazy-evaluation-stream-lifetimes.json | 4 +-
.../knowledge/common/skills/lily.json | 4 +-
.../knowledge/common/skills/lithos-metal.json | 4 +-
.../knowledge/common/skills/local-dream.json | 4 +-
.../knowledge/common/skills/mistral-rs.json | 4 +-
.../knowledge/common/skills/mlc-llm.json | 4 +-
.../knowledge/common/skills/mlx-swift-lm.json | 4 +-
.../common/skills/npu-skill-factory.json | 4 +-
.../skills/optimization-search-policy.json | 51 ++++++++++++++++---
.../common/skills/os-process-placement.json | 4 +-
.../skills/performance-ceiling-analysis.json | 4 +-
.../skills/plan-activation-residency.json | 49 +++++++++++++++---
.../knowledge/common/skills/project-maya.json | 4 +-
.../skills/repository-evolution-analysis.json | 4 +-
.../knowledge/common/skills/rsi-evidence.json | 4 +-
.../skills/skill-evolution-playbook.json | 51 ++++++++++++++++---
.../knowledge/common/skills/splash.json | 4 +-
.../common/skills/storage-io-measurement.json | 4 +-
.../skills/training-input-pipeline.json | 51 ++++++++++++++++---
.../skills/training-resource-budget.json | 51 ++++++++++++++++---
.../skills/video-diffusion-optimization.json | 4 +-
.../knowledge/common/skills/vllm-metal.json | 4 +-
.../skills/weight-loading-optimization.json | 4 +-
.../cuda/skills/audit-afd-p2p-exchanges.json | 4 +-
.../skills/audit-flare-session-lifecycle.json | 4 +-
.../diagnose-attention-bottlenecks.json | 4 +-
.../cuda/skills/host-overhead-profiling.json | 4 +-
.../cuda/skills/reason-hopper-kernels.json | 4 +-
.../assess-serving-preemption/metadata.json | 21 ++++++++
.../metadata.json | 20 ++++++++
.../audit-fixed-workload-claim/metadata.json | 19 +++++++
.../metadata.json | 20 ++++++++
.../metadata.json | 22 ++++++++
.../metadata.json | 20 ++++++++
.../dense-performance-evidence/metadata.json | 20 ++++++++
.../metadata.json | 20 ++++++++
.../inference-benchmark-design/metadata.json | 22 ++++++++
.../metadata.json | 21 ++++++++
.../optimization-search-policy/metadata.json | 22 ++++++++
.../plan-activation-residency/metadata.json | 21 ++++++++
.../skill-evolution-playbook/metadata.json | 22 ++++++++
.../training-input-pipeline/metadata.json | 22 ++++++++
.../training-resource-budget/metadata.json | 22 ++++++++
94 files changed, 1100 insertions(+), 233 deletions(-)
diff --git a/docs/skill-coverage.md b/docs/skill-coverage.md
index 74b8235e8..a69429149 100644
--- a/docs/skill-coverage.md
+++ b/docs/skill-coverage.md
@@ -4,7 +4,7 @@ Generated from the registry, the skill sidecars and the two maintained
matrices. **Do not edit by hand**; regenerate after any registry, skill,
matrix or frozen-plan change.
-- Input digest: `sha256:2d857cc177fed3b60d49ef3f8c5e7928e0ca9081d4661b8cf306c79f0e64e64c`
+- Input digest: `sha256:aba87c07dff9a646662d0c9d13653bac06450dd1cae4c56216b983e2645345e3`
- Regenerate: `python tools/build_skill_coverage.py`
- Verify without writing: `python tools/build_skill_coverage.py --check`
@@ -118,24 +118,24 @@ optimization is fully covered or that any procedure has measured benefit.
| Skill | Backend | Declared task | Applicability | Conditions | SearchSpace layer / stage | Reference Matrix | State | Gaps |
|---|---|---|---|---|---|---|---|---|
-| [assess-serving-preemption](../src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md) | common | Assess whether LLM serving queue delays justify token-boundary priority preemption, accounting for suspended KV, host ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize / Verify
2 RAM/Host · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Orca — OSDI 2022 proceedings) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [assess-split-backward-schedule](../src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md) | common | Evaluate memory-capped split-backward and V-shaped pipeline scheduling proposals, preserving synchronous update ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Zero Bubble — [2401.10241v1](https://arxiv.org/abs/2401.10241v1)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [audit-fixed-workload-claim](../src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md) | common | Audit a performance claim from supplied fixed-workload reports and an explicit measurement contract. Check aggregation ... | **unknown** | — | — | — | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-Reference-Matrix-row, no-applicability, no-eval |
-| [calibrate-serving-simulation](../src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md) | common | Build an evidence-gated serving-configuration shortlist from a profiled simulator while separating empirical ... | **unknown** | — | 1 Accelerator · Diagnose / Verify | 1 · Systems sources (Vidur — [2405.05465v2](https://arxiv.org/abs/2405.05465v2)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [checkpoint-recovery-consistency](../src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md) | common | Assess distributed checkpoint recovery using DLRover memory agreement, persistence completion and replica transport ... | **unknown** | — | 2 RAM/Host · Configure / Verify
3 SSD · Configure / Verify
4 Network · Diagnose / Configure / Verify
5 OS · Diagnose / Configure | 1 · Systems sources (C3 / DLRover FlashCheckpoint @ `e35b1ad90e2928ca6bacf5d22117f71356 ...)
1 · Systems sources (C4 / NVIDIA Resiliency Extension @ ...) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [choose-parallel-training-plan](../src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md) | common | Compare stage, device-mesh and operator-sharding candidates for static distributed training while accounting for ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Alpa — [2201.12023v3](https://arxiv.org/abs/2201.12023v3)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [dense-performance-evidence](../src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md) | common | Taxonomy of performance evidence an optimization agent needs, ordered by collection cost and diagnostic power. Maps ... | **unknown** | — | 1 Accelerator · Observe / Profile / Verify
2 RAM/Host · Verify
4 Network · Verify | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | no-applicability |
-| [evaluate-elastic-serving-placement](../src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md) | common | Compare migrating an LLM request between model replicas with changing its sequence-parallel execution group, including ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize / Verify
2 RAM/Host · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Llumnix — [2406.03243v1](https://arxiv.org/abs/2406.03243v1)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [inference-benchmark-design](../src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md) | common | Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents ... | **unknown** | — | — | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
Task-specific benchmark selection (issue #60) ([Issue #60 report](https://github.com/InferMatrixLab/InferRSI/issues/6 ...) | candidate · not_run · 2 readset(s) | no-SearchSpace-layer, no-applicability |
-| [inference-optimization-casebook](../src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md) | common | How to structure and use a casebook of past optimization decisions as a decision-support tool. Extracts the casebook ... | **unknown** | — | 1 Accelerator · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
+| [assess-serving-preemption](../src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md) | common | Assess whether LLM serving queue delays justify token-boundary priority preemption, accounting for suspended KV, host ... | Diagnosing whether LLM serving queue delay justifies token-boundary priority preemption ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify
2 RAM/Host · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Orca — OSDI 2022 proceedings) | candidate · not_run · 1 readset(s) | no-eval |
+| [assess-split-backward-schedule](../src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md) | common | Evaluate memory-capped split-backward and V-shaped pipeline scheduling proposals, preserving synchronous update ... | Assessing memory-capped split-backward and V-shaped pipeline schedule proposals when a ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Zero Bubble — [2401.10241v1](https://arxiv.org/abs/2401.10241v1)) | candidate · not_run · 1 readset(s) | no-eval |
+| [audit-fixed-workload-claim](../src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md) | common | Audit a performance claim from supplied fixed-workload reports and an explicit measurement contract. Check aggregation ... | Auditing a performance claim against supplied fixed-workload reports and an explicit ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | — | — | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-Reference-Matrix-row, no-eval |
+| [calibrate-serving-simulation](../src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md) | common | Build an evidence-gated serving-configuration shortlist from a profiled simulator while separating empirical ... | Building an evidence-gated serving-configuration shortlist when a profiled simulator or ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Verify | 1 · Systems sources (Vidur — [2405.05465v2](https://arxiv.org/abs/2405.05465v2)) | candidate · not_run · 1 readset(s) | no-eval |
+| [checkpoint-recovery-consistency](../src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md) | common | Assess distributed checkpoint recovery using DLRover memory agreement, persistence completion and replica transport ... | Assessing distributed checkpoint recovery through DLRover memory agreement, persistence ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 2 RAM/Host · Configure / Verify
3 SSD · Configure / Verify
4 Network · Diagnose / Configure / Verify
5 OS · Diagnose / Configure | 1 · Systems sources (C3 / DLRover FlashCheckpoint @ `e35b1ad90e2928ca6bacf5d22117f71356 ...)
1 · Systems sources (C4 / NVIDIA Resiliency Extension @ ...) | candidate · not_run · 1 readset(s) | no-eval |
+| [choose-parallel-training-plan](../src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md) | common | Compare stage, device-mesh and operator-sharding candidates for static distributed training while accounting for ... | Comparing stage, device-mesh and operator-sharding candidates for static distributed ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Alpa — [2201.12023v3](https://arxiv.org/abs/2201.12023v3)) | candidate · not_run · 1 readset(s) | no-eval |
+| [dense-performance-evidence](../src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md) | common | Taxonomy of performance evidence an optimization agent needs, ordered by collection cost and diagnostic power. Maps ... | Deciding which performance evidence to collect next and which claim each evidence level ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Observe / Profile / Verify
2 RAM/Host · Verify
4 Network · Verify | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | — |
+| [evaluate-elastic-serving-placement](../src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md) | common | Compare migrating an LLM request between model replicas with changing its sequence-parallel execution group, including ... | Comparing migration of a running LLM request between compatible model replicas with ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify
2 RAM/Host · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Llumnix — [2406.03243v1](https://arxiv.org/abs/2406.03243v1)) | candidate · not_run · 1 readset(s) | no-eval |
+| [inference-benchmark-design](../src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md) | common | Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents ... | Selecting task quality gates, reference parity checks and performance workloads for text ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | — | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
Task-specific benchmark selection (issue #60) ([Issue #60 report](https://github.com/InferMatrixLab/InferRSI/issues/6 ...) | candidate · not_run · 2 readset(s) | no-SearchSpace-layer |
+| [inference-optimization-casebook](../src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md) | common | How to structure and use a casebook of past optimization decisions as a decision-support tool. Extracts the casebook ... | Structuring and querying a casebook of past optimization decisions as decision support ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-eval |
| [kernel-writing-guide](../src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md) | common | Decision guide for writing custom inference kernels: when to write one, which framework to choose (Triton, CuTe DSL ... | **unknown** | — | 1 Accelerator · Optimize / Diagnose / Configure / Verify | 1 · Systems sources (Dao-AILab/causal-conv1d @ `cd81f0413cad2fc1e6f17e785ac39f59aae690cd` ...)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (huggingface/transformers @ `0dad7b822255a0ae261ec45ae937371e859ffd1a` ...)
1 · Systems sources (mindspore-ai/akg @ `5aa15f3fe4d856eb60cd3b27447e04f5f1fb4dff` ...)
1 · Systems sources (sgl-project/sglang @ `16176278d0180f1a1a578e53e6eef432577876c2` ...)
1 · Systems sources (vllm-project/vllm @ `537a79f0fc5ba564d2bef43d54915b2f80f9f77d` (root ...) | candidate · not_run · 7 readset(s) | no-applicability, no-eval |
-| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | **unknown** | — | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 6 readset(s) | no-applicability, no-eval |
+| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | Selecting, ordering and stopping optimization experiments: candidate generation ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 6 readset(s) | no-eval |
| [performance-ceiling-analysis](../src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md) | common | Estimate optimization headroom before modifying an inference system. Produces a three-level ceiling model (analytical ... | inference serving systems (LLM, diffusion, audio) | — | 1 Accelerator · Diagnose / Verify
5 OS · Configure | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ebugger/Empirical-Roofline-Toolkit @ 0771fa9)
1 · Systems sources (hahnyuan/LLM-Viewer @ 1893e4b) | candidate · not_run · 16 readset(s) | no-eval |
-| [plan-activation-residency](../src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md) | common | Propose training activation and gradient memory reductions by distinguishing lifetime reordering, address packing and ... | **unknown** | — | 1 Accelerator · Diagnose / Optimize / Verify | 1 · Systems sources (Checkmate — [1910.02653v3](https://arxiv.org/abs/1910.02653v3)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
+| [plan-activation-residency](../src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md) | common | Propose training activation and gradient memory reductions by distinguishing lifetime reordering, address packing and ... | Proposing training activation and gradient memory reductions when pressure appears to ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Optimize / Verify | 1 · Systems sources (Checkmate — [1910.02653v3](https://arxiv.org/abs/1910.02653v3)) | candidate · not_run · 1 readset(s) | no-eval |
| [repository-evolution-analysis](../src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md) | common | Analyze a repository's commit history to build a capability-evolution model: what the system can do, how it got there ... | any software repository with a recoverable git history | — | — | 2 · Methodology and corpus references (LearningToCommit/LearningToCommit @ 7e5a1d7)
2 · Methodology and corpus references (yetone/magpie @ 77800032) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-eval |
-| [skill-evolution-playbook](../src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md) | common | Practical design choices for evolving agent skills from execution traces: when one trajectory should update a skill ... | **unknown** | — | — | 2 · Methodology and corpus references (Qwen-Applications/Trace2Skill @ 3d0b52a)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-applicability, no-eval |
-| [training-input-pipeline](../src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md) | common | Diagnose training input stalls and choose bounded queue, shard-cache and cache-ownership changes from DALI, Mosaic ... | **unknown** | — | 1 Accelerator · Observe / Configure / Optimize
2 RAM/Host · Observe / Diagnose / Configure / Optimize
3 SSD · Diagnose / Configure / Optimize
4 Network · Configure / Optimize
5 OS · Configure / Optimize | 1 · Systems sources (B1 / NVIDIA DALI @ `6fe47c48d3b0ca335f5e1afd3c77c750b2c7e041` ...)
1 · Systems sources (B2 / Mosaic Streaming @ `d99bf9c7cdf2dd4ed62a4960ed35270b93337a5f` ...)
1 · Systems sources (B3 / FFCV @ `3a12966b3afe3a81733a732e633317d747bfaac7` ...) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [training-resource-budget](../src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md) | common | Choose training offload and resource-budget changes using pinned DeepSpeed configuration, attributed expert diagnosis ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize
2 RAM/Host · Observe / Diagnose / Configure / Optimize / Verify
3 SSD · Configure / Optimize
4 Network · Observe / Diagnose / Verify
5 OS · Diagnose / Configure | 1 · Systems sources (CR1 / DeepSpeed ZeRO-Infinity @ `5f266e26d216a705d9c64cac88fb813ce ...)
1 · Systems sources (CR5 / Ascend MindSpeed adaptive memory — `core_r0.8.0`, page ...)
1 · Systems sources (ZeRO-Offload — [2101.06840v1](https://arxiv.org/abs/2101.06840v1))
2 · Methodology and corpus references (CR6 / Stas Bekman ML Engineering Open Book @ ...) | candidate · not_run · 8 readset(s) | no-applicability, no-eval |
+| [skill-evolution-playbook](../src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md) | common | Practical design choices for evolving agent skills from execution traces: when one trajectory should update a skill ... | Design choices for evolving agent skills from execution traces, drawn from Trace2Skill ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | — | 2 · Methodology and corpus references (Qwen-Applications/Trace2Skill @ 3d0b52a)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-eval |
+| [training-input-pipeline](../src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md) | common | Diagnose training input stalls and choose bounded queue, shard-cache and cache-ownership changes from DALI, Mosaic ... | Diagnosing training input stalls and choosing bounded queue, shard-cache and ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Observe / Configure / Optimize
2 RAM/Host · Observe / Diagnose / Configure / Optimize
3 SSD · Diagnose / Configure / Optimize
4 Network · Configure / Optimize
5 OS · Configure / Optimize | 1 · Systems sources (B1 / NVIDIA DALI @ `6fe47c48d3b0ca335f5e1afd3c77c750b2c7e041` ...)
1 · Systems sources (B2 / Mosaic Streaming @ `d99bf9c7cdf2dd4ed62a4960ed35270b93337a5f` ...)
1 · Systems sources (B3 / FFCV @ `3a12966b3afe3a81733a732e633317d747bfaac7` ...) | candidate · not_run · 1 readset(s) | no-eval |
+| [training-resource-budget](../src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md) | common | Choose training offload and resource-budget changes using pinned DeepSpeed configuration, attributed expert diagnosis ... | Choosing training offload and resource-budget changes from pinned DeepSpeed ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Diagnose / Configure / Optimize
2 RAM/Host · Observe / Diagnose / Configure / Optimize / Verify
3 SSD · Configure / Optimize
4 Network · Observe / Diagnose / Verify
5 OS · Diagnose / Configure | 1 · Systems sources (CR1 / DeepSpeed ZeRO-Infinity @ `5f266e26d216a705d9c64cac88fb813ce ...)
1 · Systems sources (CR5 / Ascend MindSpeed adaptive memory — `core_r0.8.0`, page ...)
1 · Systems sources (ZeRO-Offload — [2101.06840v1](https://arxiv.org/abs/2101.06840v1))
2 · Methodology and corpus references (CR6 / Stas Bekman ML Engineering Open Book @ ...) | candidate · not_run · 8 readset(s) | no-eval |
| [video-diffusion-optimization](../src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md) | common | Run and verify goal-driven video diffusion optimization, backend-agnostic. Use when the user asks for latency, RTF ... | Backend-agnostic video diffusion inference and serving optimization | — | — | — | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-Reference-Matrix-row, no-eval |
| [weight-loading-optimization](../src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md) | common | Optimize the serving-level weight load path from storage to device: judge the load path on four dimensions (source ... | **unknown** | — | 1 Accelerator † guidance: Flare preparation and complete-session source contracts
2 RAM/Host † guidance: Flare preparation and complete-session source contracts
3 SSD · Observe / Profile / Diagnose / Optimize / Verify † guidance: Flare preparation and complete-session source contracts
4 Network · Configure / Optimize / Verify | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c)
1 · Systems sources (foundation-model-stack/fastsafetensors @ 219e256)
1 · Systems sources (ggml-org/llama.cpp @ `3e390af18de1131dda27913c00511725b4274c8a` (MIT ...)
1 · Systems sources (mindie-agent/mindie-agent @ 6a81b41) | candidate · not_run · 3 readset(s) | no-applicability, no-eval |
@@ -221,7 +221,7 @@ an entrypoint routes to procedures below it rather than adding one.
| `no-SearchSpace-layer` | 15: ascend-video-diffusion-optimization, audit-fixed-workload-claim, audit-recurrent-kv-finalization, cite-check-downstream-pr, competitor-scan, draft-acceptance-issue, dwarfstar, husky, inference-benchmark-design, lily, npu-skill-factory, repository-evolution-analysis, skill-evolution-playbook, splash, video-diffusion-optimization |
| `no-Reference-Matrix-row` | 8: ascend-video-diffusion-optimization, audit-fixed-workload-claim, cite-check-downstream-pr, claim-contract, competitor-scan, draft-acceptance-issue, rsi-evidence, video-diffusion-optimization |
| `no-sidecar` | 0: — |
-| `no-applicability` | 41: as listed in the Gaps column above |
+| `no-applicability` | 26: as listed in the Gaps column above |
| `no-eval` | 75: as listed in the Gaps column above |
These are inventory gaps, not defects. A workflow skill may legitimately
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
index 0260ba228..e9feb0209 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
@@ -15,7 +15,7 @@ These are knowledge abstracts (`--kind knowledge`), with namespaced package
IDs distinct from explicitly selected `checkout_ref` skills. Ascend/CUDA
procedures use their corresponding backend; shared methods use `common`.
-Source snapshot: [e736be55bf2927f5cbd0408682baa65f4f6fb7e8](https://github.com/InferMatrixLab/InferRSI/tree/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library).
+Source snapshot: [058fc76b656ea5a29bb4646a5e556e32d35bdbc9](https://github.com/InferMatrixLab/InferRSI/tree/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library).
```bash
inferrsi knowledge search 'profiling' --repo-type inferrsi --limit 50
@@ -29,7 +29,7 @@ contain the current input paths and bytes (Git checkout filters are respected).
```bash
python tools/build_skill_index.py --source-revision
-python tools/build_skill_index.py --source-revision e736be55bf2927f5cbd0408682baa65f4f6fb7e8 --check
+python tools/build_skill_index.py --source-revision 058fc76b656ea5a29bb4646a5e556e32d35bdbc9 --check
```
`--check` detects missing, stale and unexpected generated records without writing.
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
index 5ae66139a..0a5f5ecca 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
index 3efd2fdb4..b7026523e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
index c584e744b..8be530e99 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
index 954fc192a..599a678be 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
index dc4dc403d..9cb33f0ea 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
index b30ef2568..1e0dd4791 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
index 4cf60fa91..977ec9ca1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
index e271818f0..7fa6acf23 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
index c0057bd2a..c21d56d3f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
index 142ee6310..46aec47e6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
index 8224f300d..dbb22c5f7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
index 265ebe5ba..c7bda43b5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
index abe964dd6..4a569a46a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
index e2df4615c..15fdc7615 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
index 2f25d0d44..2d2d91804 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:assess-serving-preemption",
"source_files": {
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md": "0a5f48d9352c5bf460775ef47f9136829978811f4a16e84983e299782cae305d",
- "src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json": "77ce5ba16245cbd80d46d0abdf80aaf26fc0924fa2d2a5624ff430de68a1daf0",
+ "src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json": "3e2cea37f5669e7c60f7c01c390a48ea960b15cbd6de8f5340cf8fe2afb9e1a1",
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/references/source-notes.md": "f29fcecfba0490008a354c11b42403983fe165e56ff907ad61cc6040d2b6407f",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -50,6 +50,27 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Diagnosing whether LLM serving queue delay justifies token-boundary priority preemption, including suspended KV, host swap or recomputation and long-request service guarantees; admission-versus-service-order diagnosis, not current scheduler implementation or tenant-fairness certification",
+ "prerequisites": "The packaged source notes are read before quoting a metric or comparing a baseline; installing, benchmarking, changing scheduling or admission, migrating state, editing a repository or running a reproduction needs a separately authorized task",
+ "input_contract": "The late boundary (first token, token gap, completion or a stated cohort's service) with its exact percentile or attainment target and denominator; model and KV format, engine revision, safe interruption boundary, request batch limit, input/output/context distributions, arrival bursts, device live/reserved/allocated bytes, active and suspended requests, host budget, transfer path, recovery time and queue/phase/service timings; per-tenant or priority-class obligations kept apart from aggregate latency",
+ "produced_artifact": "A read-only decision naming the observed failure boundary, the smallest candidate that addresses it, unchanged assumptions, missing evidence, resource cost, affected cohorts, counter-signal and next authorized gate, plus a proposed verification plan; not a validated configuration",
+ "failure_modes": [
+ "An ordinary iteration boundary is taken to permit interrupting a prefill halfway through",
+ "Unknown output length is treated as known from the prompt",
+ "KV is counted for the running batch only, omitting started requests that are suspended",
+ "Reservations are removed because some reserved capacity is not live",
+ "Recompute-based eviction is proposed without a progress invariant, so two jobs can repeatedly displace each other",
+ "Host-device copies or same-host IPC are charged to Network instead of their local resource"
+ ],
+ "refusal_point": "Withholds a preemption recommendation when the apparent gain can be explained by different kernels, unmatched parallelism or an incomparable latency metric; unknown safe boundaries, unsupported state recovery, uncalibrated timing or unclear service obligations are blockers"
+ },
+ "recommendations": [
+ "Name the late boundary and its exact target and denominator before choosing among batching, admission, preemption and state recovery.",
+ "Send prefill interference to choose-prefill-decode-schedule and physical KV slack to diagnose-kv-block-efficiency when those candidates are available; otherwise report the diagnosed boundary and the missing evidence.",
+ "In a later authorized test, isolate service ordering first and state recovery second, and evaluate their interaction only after both are understood.",
+ "Weigh FastServe's same-engine FCFS comparison above its historical-vLLM headline, and do not read its P95 aggregate gain as a starvation or tenant-fairness guarantee."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -59,10 +80,26 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Diagnosing whether LLM serving queue delay justifies token-boundary priority preemption, including suspended KV, host swap or recomputation and long-request service guarantees; admission-versus-service-order diagnosis, not current scheduler implementation or tenant-fairness certification",
+ "prerequisites": "The packaged source notes are read before quoting a metric or comparing a baseline; installing, benchmarking, changing scheduling or admission, migrating state, editing a repository or running a reproduction needs a separately authorized task",
+ "input_contract": "The late boundary (first token, token gap, completion or a stated cohort's service) with its exact percentile or attainment target and denominator; model and KV format, engine revision, safe interruption boundary, request batch limit, input/output/context distributions, arrival bursts, device live/reserved/allocated bytes, active and suspended requests, host budget, transfer path, recovery time and queue/phase/service timings; per-tenant or priority-class obligations kept apart from aggregate latency",
+ "produced_artifact": "A read-only decision naming the observed failure boundary, the smallest candidate that addresses it, unchanged assumptions, missing evidence, resource cost, affected cohorts, counter-signal and next authorized gate, plus a proposed verification plan; not a validated configuration",
+ "failure_modes": [
+ "An ordinary iteration boundary is taken to permit interrupting a prefill halfway through",
+ "Unknown output length is treated as known from the prompt",
+ "KV is counted for the running batch only, omitting started requests that are suspended",
+ "Reservations are removed because some reserved capacity is not live",
+ "Recompute-based eviction is proposed without a progress invariant, so two jobs can repeatedly displace each other",
+ "Host-device copies or same-host IPC are charged to Network instead of their local resource"
+ ],
+ "refusal_point": "Withholds a preemption recommendation when the apparent gain can be explained by different kernels, unmatched parallelism or an incomparable latency metric; unknown safe boundaries, unsupported state recovery, uncalibrated timing or unclear service obligations are blockers"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Name the late boundary and its exact target and denominator before choosing among batching, admission, preemption and state recovery.",
+ "Send prefill interference to choose-prefill-decode-schedule and physical KV slack to diagnose-kv-block-efficiency when those candidates are available; otherwise report the diagnosed boundary and the missing evidence.",
+ "In a later authorized test, isolate service ordering first and state recovery second, and evaluate their interaction only after both are understood.",
+ "Weigh FastServe's same-engine FCFS comparison above its historical-vLLM headline, and do not read its P95 aggregate gain as a starvation or tenant-fairness guarantee."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
index ffaca5906..ba32a60db 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:assess-split-backward-schedule",
"source_files": {
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md": "1e64f28ea71672fb53c56f6108b87864738c6d03d6dcd32eedaef9e0625e96e3",
- "src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json": "c6acae57d70190cea0e18c71c79127962181e58169e011df75d8635b3db4daa7",
+ "src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json": "a089dd2c2e5a4b41e970e426c63b5b8f65acc77d2e5a40a44b38543b5d730a00",
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/references/source-notes.md": "61b1609f71c37b61d136b8c4d39f793de87cffb1cf31c8ec737a1c3fa6fb1b4e",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -49,6 +49,26 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Assessing memory-capped split-backward and V-shaped pipeline schedule proposals when a pipeline trace suggests input-gradient propagation waits behind deferrable weight-gradient work or an optimizer barrier, while preserving synchronous update, global-batch and optimizer-validation semantics",
+ "prerequisites": "The packaged evidence notes are read before citing the paper; installing or running frameworks, benchmarking schedules, changing training semantics, configuring hardware or modifying repositories needs separate authorization",
+ "input_contract": "Stage and microbatch counts, microbatch and global batch, precision, optimizer and clipping/NaN behavior; F, input-gradient B, weight-gradient W and transfer timings; per-pass retained and released bytes; total device peak and margin; collective ordering; kernel-splitting support; calculated bubble rate kept apart from measured idle time and useful samples/s",
+ "produced_artifact": "A candidate schedule and fallback with per-pass order rationale, peak-memory and transfer costs, unchanged semantic requirements, counter-signals and a future verification proposal; a reviewable plan, not an enabled schedule",
+ "failure_modes": [
+ "Completion of B is equated with releasing all activations, so W inputs retained by deferral go uncounted",
+ "The equal-time zero-bubble construction replaces observed F/B/W and transfer times, or kernel-splitting and synchronization overhead is left out",
+ "The schedule is chosen by minimum modeled bubble rate instead of whole-step throughput under the memory and quality constraint",
+ "pMB activation capacity is read as total memory, hiding HBM, workspace, buffers or per-rank imbalance",
+ "Removing the optimizer barrier drops global norm, clipping or NaN decisions, rollback and re-update, or the correctness of work that depends on a tentative update",
+ "Optimizer post-validation is conflated with accepting stale-gradient delayed updates"
+ ],
+ "refusal_point": "Withholds an enablement recommendation under frequent clipping/NaNs, small available memory, strongly unequal passes, unsupported split kernels, hidden collectives or dynamic shapes, and retains the synchronized fallback while optimizer reversibility and rollback coverage are unverified"
+ },
+ "recommendations": [
+ "Compare ordinary 1F1B with a memory-capped split schedule first; add V-shaped two-chunk placement only when memory permits, and at matched global batch also try smaller microbatches with more microbatches.",
+ "Decide optimizer post-validation separately from the schedule change.",
+ "In a later authorized comparison, hold model, global batch and precision fixed and compare real with calculated idle intervals."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -58,10 +78,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Assessing memory-capped split-backward and V-shaped pipeline schedule proposals when a pipeline trace suggests input-gradient propagation waits behind deferrable weight-gradient work or an optimizer barrier, while preserving synchronous update, global-batch and optimizer-validation semantics",
+ "prerequisites": "The packaged evidence notes are read before citing the paper; installing or running frameworks, benchmarking schedules, changing training semantics, configuring hardware or modifying repositories needs separate authorization",
+ "input_contract": "Stage and microbatch counts, microbatch and global batch, precision, optimizer and clipping/NaN behavior; F, input-gradient B, weight-gradient W and transfer timings; per-pass retained and released bytes; total device peak and margin; collective ordering; kernel-splitting support; calculated bubble rate kept apart from measured idle time and useful samples/s",
+ "produced_artifact": "A candidate schedule and fallback with per-pass order rationale, peak-memory and transfer costs, unchanged semantic requirements, counter-signals and a future verification proposal; a reviewable plan, not an enabled schedule",
+ "failure_modes": [
+ "Completion of B is equated with releasing all activations, so W inputs retained by deferral go uncounted",
+ "The equal-time zero-bubble construction replaces observed F/B/W and transfer times, or kernel-splitting and synchronization overhead is left out",
+ "The schedule is chosen by minimum modeled bubble rate instead of whole-step throughput under the memory and quality constraint",
+ "pMB activation capacity is read as total memory, hiding HBM, workspace, buffers or per-rank imbalance",
+ "Removing the optimizer barrier drops global norm, clipping or NaN decisions, rollback and re-update, or the correctness of work that depends on a tentative update",
+ "Optimizer post-validation is conflated with accepting stale-gradient delayed updates"
+ ],
+ "refusal_point": "Withholds an enablement recommendation under frequent clipping/NaNs, small available memory, strongly unequal passes, unsupported split kernels, hidden collectives or dynamic shapes, and retains the synchronized fallback while optimizer reversibility and rollback coverage are unverified"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Compare ordinary 1F1B with a memory-capped split schedule first; add V-shaped two-chunk placement only when memory permits, and at matched global batch also try smaller microbatches with more microbatches.",
+ "Decide optimizer post-validation separately from the schedule change.",
+ "In a later authorized comparison, hold model, global batch and precision fixed and compare real with calculated idle intervals."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
index fc4bb135f..607924b3f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
@@ -20,8 +20,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json",
@@ -37,7 +37,7 @@
"checkout_ref": "checkout:audit-fixed-workload-claim",
"source_files": {
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md": "2be89b1340a3deb978c8e1792d18aeecbe8f5de81d4daf542389f53826b8ebee",
- "src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json": "81edd75fa16939807548d0944e9203cfd7c0cb17e63463872d96ca2c1273d1d8",
+ "src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json": "d36e8a6148b7ab830f1ddf6e573a865965502709a835ce460c37e3d4c386de95",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -53,14 +53,47 @@
"measurement"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Auditing a performance claim against supplied fixed-workload reports and an explicit measurement contract: aggregation, retained observations, comparability and quality evidence",
+ "input_contract": "Baseline and candidate fixed-workload reports with request observations grouped by trial and workload; the measurement contract stating metric, unit, timing boundary, improvement direction, aggregation rule and order, fixed exclusions, threshold and comparison operator; the declared quality and completion evidence; the requested output schema",
+ "produced_artifact": "An audit conclusion showing baseline and candidate aggregates, the calculation, the threshold comparison and the evidence or missing information that controls the verdict; it interprets supplied evidence and does not itself establish a measured improvement",
+ "failure_modes": [
+ "A pooled request median silently replaces a median of per-trial means, or the reverse, reweighting trials whose request counts differ",
+ "Late requests, failures or outliers are dropped, or requests move between trials, outside the exclusions the contract fixes",
+ "Values are rounded before the threshold comparison",
+ "A missing rule that permits different verdicts is resolved toward the favorable one",
+ "A speed improvement is read as task success, or a quality pass as equivalent measured work",
+ "Different workloads or incomplete observations are repaired by a favorable aggregate"
+ ],
+ "refusal_point": "Does not replace missing evidence with a pass, does not support a percentage claim on an undefined denominator, and does not launch a new benchmark or alter the contract to resolve an unfavorable result; a failed threshold is reported apart from an unverified comparison or missing quality evidence"
+ },
+ "recommendations": [
+ "Recover the contract's metric, direction, aggregation order and comparison operator before reading the report's own verdict.",
+ "Treat a named minimum bound as >= and a maximum bound as <= unless the contract requires a strict comparison.",
+ "Keep separate regimes and metrics separate unless the contract defines their aggregation."
+ ],
"limitations": [
"Guidance for supplied reports; no local efficacy validation or measured performance gain is established."
]
},
- "applicability": {},
+ "applicability": {
+ "scope": "Auditing a performance claim against supplied fixed-workload reports and an explicit measurement contract: aggregation, retained observations, comparability and quality evidence",
+ "input_contract": "Baseline and candidate fixed-workload reports with request observations grouped by trial and workload; the measurement contract stating metric, unit, timing boundary, improvement direction, aggregation rule and order, fixed exclusions, threshold and comparison operator; the declared quality and completion evidence; the requested output schema",
+ "produced_artifact": "An audit conclusion showing baseline and candidate aggregates, the calculation, the threshold comparison and the evidence or missing information that controls the verdict; it interprets supplied evidence and does not itself establish a measured improvement",
+ "failure_modes": [
+ "A pooled request median silently replaces a median of per-trial means, or the reverse, reweighting trials whose request counts differ",
+ "Late requests, failures or outliers are dropped, or requests move between trials, outside the exclusions the contract fixes",
+ "Values are rounded before the threshold comparison",
+ "A missing rule that permits different verdicts is resolved toward the favorable one",
+ "A speed improvement is read as task success, or a quality pass as equivalent measured work",
+ "Different workloads or incomplete observations are repaired by a favorable aggregate"
+ ],
+ "refusal_point": "Does not replace missing evidence with a pass, does not support a percentage claim on an undefined denominator, and does not launch a new benchmark or alter the contract to resolve an unfavorable result; a failed threshold is reported apart from an unverified comparison or missing quality evidence"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Recover the contract's metric, direction, aggregation order and comparison operator before reading the report's own verdict.",
+ "Treat a named minimum bound as >= and a maximum bound as <= unless the contract requires a strict comparison.",
+ "Keep separate regimes and metrics separate unless the contract defines their aggregation."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
index 7eaad62d9..7b0fa3e0b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
index c1901a553..6754846ff 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
index a286bf4f0..5adf8b36f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
index 6a0388629..3462306a4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
index b96c25502..34a892d4e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
index c5ea01476..863578242 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/LICENSE",
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
index 91506cdac..ecfdaffc1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
index dd8c6aa56..1f82b3ddf 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
"src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
index c8e6859f8..85c192917 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
"src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
index d9f026d83..4a890cc55 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:calibrate-serving-simulation",
"source_files": {
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md": "ac773c6f1c110a664dfca28a3ae9129b10c07614e60ca3640dea776220e7b352",
- "src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json": "261ce9f644ea6eebb90c830f41fb8b320d2b401456e5bd8d494095a44b8620d0",
+ "src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json": "96771fb6fecf5fc7773bb7cf84038d8eaf436add1a0362dc26110c82037f8320",
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/references/source-notes.md": "9696d3c0ef96b6611787446bd6f96d4d6255ca8d107105de8c1d9af83edb9fa5",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -63,6 +63,26 @@
"readset": "references/source-notes.md"
}
],
+ "applicability": {
+ "scope": "Building an evidence-gated serving-configuration shortlist when a profiled simulator or cost model is proposed to reduce deployment experiments; extends performance-ceiling-analysis, optimization-search-policy and inference-benchmark-design without replacing their ceilings or measurement contract",
+ "prerequisites": "The packaged Vidur evidence and evidence-type notes are read; reading the skill does not authorize execution, and no validation check runs under it without separate execution authorization",
+ "input_contract": "Model, shape and dtype; actual kernel/runtime revision; graph mode; GPU, host and topology; request length and arrival distribution; total resources and cost basis; memory limits; latency definitions and percentile SLOs",
+ "produced_artifact": "A bounded decision memo with input identities, model assumptions, evidence type, exact metrics and denominators, unsupported dimensions, nondominated candidates with predicted ranges, joint constraint checks, the next discriminating trial and rollback/finalization requirements, keeping prediction and measurement columns apart; a shortlist for future measurement, not a measured result",
+ "failure_modes": [
+ "Learned runtime output is labeled a physical bound",
+ "A missing identity is filled with a paper default, or topology is substituted, instead of being marked unknown",
+ "A low-load check stands in for an SLO claim at the intended load regime and capacity boundary",
+ "A predictor that relies on summed KV volume hides batches with equal volume but unequal context distributions",
+ "Capacity binary search is applied without verifying its monotonic/stationary premise or treating overloaded samples explicitly",
+ "One predicted winner is reported when uncertainty exceeds rank separation"
+ ],
+ "refusal_point": "Stops predictive certification when profiles are missing, topology is substituted, error grows near capacity or host overhead is omitted; labels an ordering unresolved when uncertainty exceeds rank separation; asserts neither universal error below 9% nor current vLLM, asynchronous PP or NPU support from the historical simulator paper"
+ },
+ "recommendations": [
+ "Classify every estimate as a physical bound, measured envelope, Amdahl-style conditional impact or empirical prediction before comparing configurations.",
+ "Keep prefill and decode separate in the operator signatures, and record how sharding and memory planning enter the model.",
+ "Recalibrate after workload drift, kernel/graph/runtime changes, new hardware or topology, or mismatched residuals."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation."
],
@@ -71,10 +91,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Building an evidence-gated serving-configuration shortlist when a profiled simulator or cost model is proposed to reduce deployment experiments; extends performance-ceiling-analysis, optimization-search-policy and inference-benchmark-design without replacing their ceilings or measurement contract",
+ "prerequisites": "The packaged Vidur evidence and evidence-type notes are read; reading the skill does not authorize execution, and no validation check runs under it without separate execution authorization",
+ "input_contract": "Model, shape and dtype; actual kernel/runtime revision; graph mode; GPU, host and topology; request length and arrival distribution; total resources and cost basis; memory limits; latency definitions and percentile SLOs",
+ "produced_artifact": "A bounded decision memo with input identities, model assumptions, evidence type, exact metrics and denominators, unsupported dimensions, nondominated candidates with predicted ranges, joint constraint checks, the next discriminating trial and rollback/finalization requirements, keeping prediction and measurement columns apart; a shortlist for future measurement, not a measured result",
+ "failure_modes": [
+ "Learned runtime output is labeled a physical bound",
+ "A missing identity is filled with a paper default, or topology is substituted, instead of being marked unknown",
+ "A low-load check stands in for an SLO claim at the intended load regime and capacity boundary",
+ "A predictor that relies on summed KV volume hides batches with equal volume but unequal context distributions",
+ "Capacity binary search is applied without verifying its monotonic/stationary premise or treating overloaded samples explicitly",
+ "One predicted winner is reported when uncertainty exceeds rank separation"
+ ],
+ "refusal_point": "Stops predictive certification when profiles are missing, topology is substituted, error grows near capacity or host overhead is omitted; labels an ordering unresolved when uncertainty exceeds rank separation; asserts neither universal error below 9% nor current vLLM, asynchronous PP or NPU support from the historical simulator paper"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Classify every estimate as a physical bound, measured envelope, Amdahl-style conditional impact or empirical prediction before comparing configurations.",
+ "Keep prefill and decode separate in the operator signatures, and record how sharding and memory planning enter the model.",
+ "Recalibrate after workload drift, kernel/graph/runtime changes, new hardware or topology, or mismatched residuals."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
index 8aa69e50b..2f3c5c510 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
index e6d5fcbd3..4bfc0372b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json",
@@ -41,7 +41,7 @@
"checkout_ref": "checkout:checkpoint-recovery-consistency",
"source_files": {
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md": "6b7db1eb2780dec27858cb7aa0a3c093c5b5dfa4c30261aebfeaa255213ff688",
- "src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json": "4dc8659806539b4784ea9348a01d4194ac70d0bb297a916f90ff6419efa5c328",
+ "src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json": "4185ff9f8b4c06d2a984753127780f29ceebf50d87b225a7697bfecccc2a4a60",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/references/dlrover-persistence-replicas.md": "055f4357f79026fcbcc766bbe77db610376ec353623f8898f5d14a30ee69e7bc",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/references/sources.md": "9425b1aab963a2c8d35f3db897bd15ee69699bf5b0d0c8425c3c8bba3e9a0233",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
@@ -64,6 +64,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Assessing distributed checkpoint recovery through DLRover memory agreement, persistence completion and replica transport, and NVIDIA Resiliency Extension complete-iteration selection; distinguishes worker, host and replica loss and separates queued saves, publication, application-state validity and durable recovery. Save performance belongs to dcp-async-save-performance",
+ "prerequisites": "The pinned sources and limits are read; reading authorizes no launchers, failure injection or checkpoint loading, and restore evidence needs separate authorization",
+ "input_contract": "The declared failure domain; actual memory, storage and replica placement and helper lifetime; step or iteration identity, the expected shard/rank set and finalization result; the application's model, optimizer and caller-required RNG/scheduler/data-position state contract; the target environment's format and world-size/replication assumptions",
+ "produced_artifact": "An answer to each of the four acceptance questions (snapshot survival, cross-participant completeness, application-state completeness, restorability) at its own evidence level, a proposed per-generation recovery evidence record including errors and skipped saves, and a proposed verification split by worker, host, replica and persistent-storage loss; no recovery success, durability, NPU support or measured gain",
+ "failure_modes": [
+ "Equal steps or complete rank IDs are taken to verify tensor contents or whole application semantics",
+ "A skipped save, where not every participant acquired shared-memory access, is reported as a new recovery point",
+ "A returned step paired with an empty state dictionary is read as a successful restore",
+ "A local maximum filename or one clean shard substitutes for global coverage",
+ "The .dirty-then-rename publication is read as power-loss durability",
+ "An asynchronous save request is treated as a completed checkpoint, or queue concurrency is assumed unlimited",
+ "One failure domain is tested and recovery from all of them is claimed"
+ ],
+ "refusal_point": "Claims no recovery success, durability, NPU support or measured gain, does not upgrade allocation, metadata or a completed collective into proven recovery, and neither injects failures nor authorizes them"
+ },
+ "recommendations": [
+ "Answer the four acceptance questions separately; record each at its own evidence level.",
+ "Count replication as added availability only when copies occupy independent failure domains, and budget clean, dirty and replicated shards on each host.",
+ "Keep the one-outstanding asynchronous save restriction until the target queue version is checked.",
+ "Send save-throughput questions to dcp-async-save-performance; a faster return or higher write throughput does not establish recoverability."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -73,10 +95,27 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Assessing distributed checkpoint recovery through DLRover memory agreement, persistence completion and replica transport, and NVIDIA Resiliency Extension complete-iteration selection; distinguishes worker, host and replica loss and separates queued saves, publication, application-state validity and durable recovery. Save performance belongs to dcp-async-save-performance",
+ "prerequisites": "The pinned sources and limits are read; reading authorizes no launchers, failure injection or checkpoint loading, and restore evidence needs separate authorization",
+ "input_contract": "The declared failure domain; actual memory, storage and replica placement and helper lifetime; step or iteration identity, the expected shard/rank set and finalization result; the application's model, optimizer and caller-required RNG/scheduler/data-position state contract; the target environment's format and world-size/replication assumptions",
+ "produced_artifact": "An answer to each of the four acceptance questions (snapshot survival, cross-participant completeness, application-state completeness, restorability) at its own evidence level, a proposed per-generation recovery evidence record including errors and skipped saves, and a proposed verification split by worker, host, replica and persistent-storage loss; no recovery success, durability, NPU support or measured gain",
+ "failure_modes": [
+ "Equal steps or complete rank IDs are taken to verify tensor contents or whole application semantics",
+ "A skipped save, where not every participant acquired shared-memory access, is reported as a new recovery point",
+ "A returned step paired with an empty state dictionary is read as a successful restore",
+ "A local maximum filename or one clean shard substitutes for global coverage",
+ "The .dirty-then-rename publication is read as power-loss durability",
+ "An asynchronous save request is treated as a completed checkpoint, or queue concurrency is assumed unlimited",
+ "One failure domain is tested and recovery from all of them is claimed"
+ ],
+ "refusal_point": "Claims no recovery success, durability, NPU support or measured gain, does not upgrade allocation, metadata or a completed collective into proven recovery, and neither injects failures nor authorizes them"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Answer the four acceptance questions separately; record each at its own evidence level.",
+ "Count replication as added availability only when copies occupy independent failure domains, and budget clean, dirty and replicated shards on each host.",
+ "Keep the one-outstanding asynchronous save restriction until the target queue version is checked.",
+ "Send save-throughput questions to dcp-async-save-performance; a faster return or higher write throughput does not establish recoverability."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
index 8f6c6d722..5110118ef 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:choose-parallel-training-plan",
"source_files": {
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md": "25d04aed9782b2a8ff1186828becdc7fce93c4418039ceaef9b8dcc5ec9bcd24",
- "src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json": "c6acae57d70190cea0e18c71c79127962181e58169e011df75d8635b3db4daa7",
+ "src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json": "4990d0a2f1a269111a680f45a5d91221af37e3f8b3ce514fea84e97878e767cd",
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/references/source-notes.md": "9f9184d46b19312138a6e805e439e43dc0594a0cc6b46675255a582dc946ca5b",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -49,6 +49,26 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Comparing stage, device-mesh and operator-sharding candidates for static distributed training when heterogeneous stage memory or work, or communication cost, makes a uniform data/tensor/pipeline plan suspect; derived from historical Alpa, not a current compiler configuration guide",
+ "prerequisites": "The packaged source notes are read; the skill authorizes no compiler or solver install or run, parallelism reconfiguration, repository edit, hardware task or benchmark",
+ "input_contract": "Model operator graph and shapes; global batch, microbatch and accumulation; precision and optimizer; physical links and contention; candidate shard layouts; stage latency, workspace and in-flight activation memory; the objective and expected run length. A device count without topology is insufficient",
+ "produced_artifact": "The best supported candidate and a simpler fallback with a memory and critical-path ledger, planning cost and amortization, semantic invariants, counter-signals, missing evidence and a proposed matched comparison; a plan, not a reconfiguration",
+ "failure_modes": [
+ "Equal arithmetic work is taken to mean equal kernel time, carrying over Alpa's zero compute-cost simplification",
+ "Mean memory replaces the largest per-rank peak with multiple in-flight activation sets",
+ "Inter-stage transfer and microbatch count stay outside the objective, as in historical Alpa, without the gap being reported",
+ "Repeated slow-link sends to replicated destination tiles are not compared with one cross-mesh transfer plus local allgather",
+ "Inter-node Network traffic is merged with intra-node accelerator links",
+ "Static cost estimates are applied to dynamic shapes, asymmetric devices or changing communication contention"
+ ],
+ "refusal_point": "Rejects infeasible stage/mesh pairs, claims no global optimality outside the declared search space, and stops at the plan in paper-only mode"
+ },
+ "recommendations": [
+ "Keep a simple reference plan with the same training semantics and global batch as the comparison point.",
+ "Separate fixed-model scaling from model-size weak scaling before quoting a speedup; Alpa's 9.7x MoE ratio belongs to a specific weak-scaling workload, baseline and 25-Gbps cluster.",
+ "Weigh planning cost against the expected run length; a shorter job may not amortize it."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -58,10 +78,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Comparing stage, device-mesh and operator-sharding candidates for static distributed training when heterogeneous stage memory or work, or communication cost, makes a uniform data/tensor/pipeline plan suspect; derived from historical Alpa, not a current compiler configuration guide",
+ "prerequisites": "The packaged source notes are read; the skill authorizes no compiler or solver install or run, parallelism reconfiguration, repository edit, hardware task or benchmark",
+ "input_contract": "Model operator graph and shapes; global batch, microbatch and accumulation; precision and optimizer; physical links and contention; candidate shard layouts; stage latency, workspace and in-flight activation memory; the objective and expected run length. A device count without topology is insufficient",
+ "produced_artifact": "The best supported candidate and a simpler fallback with a memory and critical-path ledger, planning cost and amortization, semantic invariants, counter-signals, missing evidence and a proposed matched comparison; a plan, not a reconfiguration",
+ "failure_modes": [
+ "Equal arithmetic work is taken to mean equal kernel time, carrying over Alpa's zero compute-cost simplification",
+ "Mean memory replaces the largest per-rank peak with multiple in-flight activation sets",
+ "Inter-stage transfer and microbatch count stay outside the objective, as in historical Alpa, without the gap being reported",
+ "Repeated slow-link sends to replicated destination tiles are not compared with one cross-mesh transfer plus local allgather",
+ "Inter-node Network traffic is merged with intra-node accelerator links",
+ "Static cost estimates are applied to dynamic shapes, asymmetric devices or changing communication contention"
+ ],
+ "refusal_point": "Rejects infeasible stage/mesh pairs, claims no global optimality outside the declared search space, and stops at the plan in paper-only mode"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Keep a simple reference plan with the same training semantics and global batch as the comparison point.",
+ "Separate fixed-model scaling from model-size weak scaling before quoting a speedup; Alpa's 9.7x MoE ratio belongs to a specific weak-scaling workload, baseline and 25-Gbps cluster.",
+ "Weigh planning cost against the expected run length; a shorter job may not amortize it."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
index 4ebb49126..2bb385487 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
index decf70b14..2aa285425 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
index cd367ee9b..77926d0a6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/comfy-ui/LICENSE",
"src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
index f81e40785..3ea762225 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
index 09cebb4dd..849284100 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
index 8f4a7f6a9..c05cf24ac 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json",
@@ -38,7 +38,7 @@
"checkout_ref": "checkout:dense-performance-evidence",
"source_files": {
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md": "53cc1867a13f54d1006d50517dea8848869ca50df3f0cd610b2424cc8d18c933",
- "src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json": "a0d1e3b17140295510a764045d1b222e19be3a3406e6d1e7dddaad49ff474490",
+ "src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json": "041780985dcaf76809d29dc0d4e242359b17b6bcfaadab2d05674fa4699a5427",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -58,6 +58,26 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Deciding which performance evidence to collect next and which claim each evidence level supports, from correctness through microbenchmark, component profile, isolated scenario benchmark and multi-regime serving benchmark to a production A/B experiment; also structuring a measurement campaign",
+ "prerequisites": "Level 0 correctness evidence is collected before any performance measurement; a Level 5 experiment needs production infrastructure, traffic splitting and statistical power",
+ "input_contract": "The claim to be made or the question to answer, and the evidence already collected with its level, workload, hardware/software context and controls",
+ "produced_artifact": "The minimum evidence level each claim requires, the next evidence to collect under the escalation rule, and negative-result records with hypothesis, evidence level, the metric that did not improve, context and the reason if known; a classification of evidence, not a measurement",
+ "failure_modes": [
+ "An md5 match or a test pass is read as semantically correct output or as support for a performance claim",
+ "A microbenchmark improvement is reported as an inference throughput gain",
+ "Absolute kernel durations or single collective latencies are compared across devices or sessions",
+ "A win on one fixed workload or concurrency is generalized to production traffic",
+ "Worse metrics, per-task regressions or negative results are discarded, or a shared task budget is taken as equal total cost"
+ ],
+ "refusal_point": "Withholds any claim above the level its evidence reaches, leaves an unresolved source protocol or denominator mismatch unresolved, and lets neither upstream scores nor local packaging checks promote an InferRSI candidate"
+ },
+ "recommendations": [
+ "Collect Level 0 first and profile at Level 2 before implementing; escalate to Level 3 only after a promising Level 2 result, and to Level 4 only after a Level 3 win worth validating across regimes.",
+ "Collect a Level 1 microbenchmark only for an isolated-kernel question after Level 2 has confirmed that kernel is on the critical path.",
+ "For a Level 1 claim, pin input shape and dtype, exclude warmup, synchronize before timing, run at least 10 repetitions and report median and IQR; for a Level 3 claim, match hardware, software stack, model revision and inputs, run at least 3 repetitions and alternate A/B/A order.",
+ "Read the admission/drain occupancy case when interpreting finite service cohorts; phase-selected occupancy is not end-to-end gain."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -69,10 +89,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Deciding which performance evidence to collect next and which claim each evidence level supports, from correctness through microbenchmark, component profile, isolated scenario benchmark and multi-regime serving benchmark to a production A/B experiment; also structuring a measurement campaign",
+ "prerequisites": "Level 0 correctness evidence is collected before any performance measurement; a Level 5 experiment needs production infrastructure, traffic splitting and statistical power",
+ "input_contract": "The claim to be made or the question to answer, and the evidence already collected with its level, workload, hardware/software context and controls",
+ "produced_artifact": "The minimum evidence level each claim requires, the next evidence to collect under the escalation rule, and negative-result records with hypothesis, evidence level, the metric that did not improve, context and the reason if known; a classification of evidence, not a measurement",
+ "failure_modes": [
+ "An md5 match or a test pass is read as semantically correct output or as support for a performance claim",
+ "A microbenchmark improvement is reported as an inference throughput gain",
+ "Absolute kernel durations or single collective latencies are compared across devices or sessions",
+ "A win on one fixed workload or concurrency is generalized to production traffic",
+ "Worse metrics, per-task regressions or negative results are discarded, or a shared task budget is taken as equal total cost"
+ ],
+ "refusal_point": "Withholds any claim above the level its evidence reaches, leaves an unresolved source protocol or denominator mismatch unresolved, and lets neither upstream scores nor local packaging checks promote an InferRSI candidate"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Collect Level 0 first and profile at Level 2 before implementing; escalate to Level 3 only after a promising Level 2 result, and to Level 4 only after a Level 3 win worth validating across regimes.",
+ "Collect a Level 1 microbenchmark only for an isolated-kernel question after Level 2 has confirmed that kernel is on the critical path.",
+ "For a Level 1 claim, pin input shape and dtype, exclude warmup, synchronize before timing, run at least 10 repetitions and report median and IQR; for a Level 3 claim, match hardware, software stack, model revision and inputs, run at least 3 repetitions and alternate A/B/A order.",
+ "Read the admission/drain occupancy case when interpreting finite service cohorts; phase-selected occupancy is not end-to-end gain."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
index d13e1cd63..3919d5b7b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
index a420136e2..eca532dd7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
index 02fc7062c..0677bc9f0 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
index fa68288d7..9fcb02f6a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/dwarfstar/LICENSE",
"src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
index 90e2cc73d..ca2fa6c51 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:evaluate-elastic-serving-placement",
"source_files": {
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md": "82d0099d3c33706f46c657d4fa7f76d3d486e019b36760d1de001921328a60cc",
- "src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json": "37379a4d4a058ca46da2b20a920dc01be9ec11e557c32b2332702ec76027f4b5",
+ "src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json": "091a3b95d1a8996b5ad917e7948efb4ed598e31c7163709377f8e9199cebfe26",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/references/source-notes.md": "ea416831fd7d0874e06d0a76fb0c7196df53072b717673a0cdf635db6bfd917b",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -50,6 +50,26 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Comparing migration of a running LLM request between compatible model replicas with changing its sequence-parallel execution group, including state-copy, reservation, recomputation, interruption and priority costs, for cross-instance memory imbalance or highly variable long-context serving; not connector wiring or live scaling",
+ "prerequisites": "The relevant Llumnix or LoongServe branch and its readset in the packaged source notes are read; moving state, altering admission or priority, scaling replicas, changing parallelism, running experiments or editing frameworks needs separate authorization",
+ "input_contract": "Exact model and cache identity and format; weight residency; request phase, context and generated length; source and destination KV bytes; physical free/reserved memory and virtual accounting; batch state; current parallel group; queue and service times; actual topology and transport for each path; the target SLO statistic and affected priority or tenant cohorts",
+ "produced_artifact": "The smallest justified branch with missing capability or evidence, expected saved work or wait, added state, traffic and replica cost, affected SLO and cohorts, counter-signals, the proposed next gate and a future verification plan; an evidence-based recommendation, not a validated deployment rule",
+ "failure_modes": [
+ "Model-weight repartitioning, pipeline configuration, instance migration and sequence sharding are treated as interchangeable uses of parallelism",
+ "Aggregate free bytes are taken to mean a single blocked request fits, conflating internal KV-block slack with cross-instance fragmentation",
+ "Llumnix's 20-30 ms measured downtime is substituted for total transfer time",
+ "Virtual headroom is counted as extra memory or as a tenant-fairness guarantee",
+ "A zero-overhead transition label is read as every group change being free, or a token sum hides length-sensitive attention work",
+ "Ongoing distributed-attention communication goes uncharged because existing KV does not migrate"
+ ],
+ "refusal_point": "Withholds the candidate when every destination is full, pre-copy catch-up is unproven, model or cache compatibility is unknown, or the measured work saved does not exceed exposed costs; current-code review and target-system tests remain a later authorization gate"
+ },
+ "recommendations": [
+ "Decide first whether the question is replica relocation, a sequence-parallel group change, or prefix reuse and phase pools, which evaluate-kv-cache-transfer-gates and choose-prefill-decode-schedule cover when available.",
+ "Name each transfer path separately; only inter-node transport is Network.",
+ "Keep a feasible static, no-migration baseline in any later comparison."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -59,10 +79,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Comparing migration of a running LLM request between compatible model replicas with changing its sequence-parallel execution group, including state-copy, reservation, recomputation, interruption and priority costs, for cross-instance memory imbalance or highly variable long-context serving; not connector wiring or live scaling",
+ "prerequisites": "The relevant Llumnix or LoongServe branch and its readset in the packaged source notes are read; moving state, altering admission or priority, scaling replicas, changing parallelism, running experiments or editing frameworks needs separate authorization",
+ "input_contract": "Exact model and cache identity and format; weight residency; request phase, context and generated length; source and destination KV bytes; physical free/reserved memory and virtual accounting; batch state; current parallel group; queue and service times; actual topology and transport for each path; the target SLO statistic and affected priority or tenant cohorts",
+ "produced_artifact": "The smallest justified branch with missing capability or evidence, expected saved work or wait, added state, traffic and replica cost, affected SLO and cohorts, counter-signals, the proposed next gate and a future verification plan; an evidence-based recommendation, not a validated deployment rule",
+ "failure_modes": [
+ "Model-weight repartitioning, pipeline configuration, instance migration and sequence sharding are treated as interchangeable uses of parallelism",
+ "Aggregate free bytes are taken to mean a single blocked request fits, conflating internal KV-block slack with cross-instance fragmentation",
+ "Llumnix's 20-30 ms measured downtime is substituted for total transfer time",
+ "Virtual headroom is counted as extra memory or as a tenant-fairness guarantee",
+ "A zero-overhead transition label is read as every group change being free, or a token sum hides length-sensitive attention work",
+ "Ongoing distributed-attention communication goes uncharged because existing KV does not migrate"
+ ],
+ "refusal_point": "Withholds the candidate when every destination is full, pre-copy catch-up is unproven, model or cache compatibility is unknown, or the measured work saved does not exceed exposed costs; current-code review and target-system tests remain a later authorization gate"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Decide first whether the question is replica relocation, a sequence-parallel group change, or prefix reuse and phase pools, which evaluate-kv-cache-transfer-gates and choose-prefill-decode-schedule cover when available.",
+ "Name each transfer path separately; only inter-node transport is Network.",
+ "Keep a feasible static, no-migration baseline in any later comparison."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
index 531d36735..12c9fd116 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
index 750fc2551..14402d04f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
index 0c1bc8162..f60ebd4ba 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
index 7605ecc78..8d470c697 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
"src/inferrsi/data/skill_library/repositories/husky/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
index 04453ae8a..bfae49c07 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json",
@@ -49,7 +49,7 @@
"checkout_ref": "checkout:inference-benchmark-design",
"source_files": {
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md": "59b5656e7d989b3cee8d6f95cd43be03053b1fb11c3a82bb49ab3d402f7aacee",
- "src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json": "18310402a8ade03fd48ac687f79ba9d447871e90337de84c0e1bc15c0b827306",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json": "d51b5b3600d13b38c2adbf6c6e149c7375c9f1db12bc078679cab67a32a3e9a7",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/benchmark-commands.md": "0898424e0bff3a6246e1eeeda6abd6c5bd974c047fe32f3bbd5ab9d31ce17cd3",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/task-benchmark-selection.md": "0d4bb080a754e26846e81680023db0dff5e6a4c96be4327c411c3b72ac4ef8e2",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
@@ -200,6 +200,28 @@
}
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Selecting task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, TTS, full-duplex audio/video, image and video inference, and designing goodput-based multi-regime comparisons that fit InferRSI's evidence trail",
+ "prerequisites": "The primary objective, timing boundary, quality gates, sample/failure accounting, required regimes, repetitions, seeds and decision rule are frozen before optimization; baseline and candidate share hardware, software stack, input distribution, benchmark configuration, warmup and measurement protocol, and on a shared machine also one time window and dedicated devices",
+ "input_contract": "The task family and deployment use case; candidate quality evaluators and reference parity; the declared SLO and the caller's policy on which regimes must improve or must not regress; for an audit, a supplied fixed-workload report with request-to-trial grouping, exclusion and failure counts and the declared aggregation rule",
+ "produced_artifact": "A frozen benchmark design with evaluators, reference parity, primary objective, timing boundary, quality gates, required regimes, repetition and seed rules and an explicit decision config, plus the evidence-tree layout a PASS claim must produce; for a supplied report, the computed threshold result and missing evidence. Candidate knowledge, not qualification of any model or backend",
+ "failure_modes": [
+ "Raw throughput is optimized in place of goodput, so requests served outside the SLO count toward a win",
+ "One concurrency level or one undisclosed aggregate score stands in for all required regimes",
+ "Recorded agent task scores or replay completion are read as current task success, or a VBench prompt workload as computed VBench quality",
+ "An upstream better/worse/inconclusive label is used as InferRSI's PASS/FAIL/INCONCLUSIVE verdict",
+ "Runs on the same hardware class, in different time windows or on shared devices are compared as if pinned",
+ "A quality pass is taken to certify that the timed work actually occurred",
+ "Best-seen results are reported as delivered without restarting and validating the final code/config artifact"
+ ],
+ "refusal_point": "Records missing coverage and high-variance results as INCONCLUSIVE rather than a win; a run without a frozen RunSpec, or whose validator changed after the plan was frozen, is INCONCLUSIVE regardless of metric values; sets no universal numeric gate or noise threshold"
+ },
+ "recommendations": [
+ "Freeze one primary objective, timing boundary, quality gates and sample/failure accounting before optimization.",
+ "Choose the required regimes from the deployment use case, report each separately, and record which must improve or must not regress in a versioned decision config.",
+ "Use the replay trace that matches the actual deployment pattern.",
+ "State the concurrency, trace, model, SKU and microbenchmark scope boundaries in any report that cites benchmark results."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets.",
@@ -216,10 +238,27 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Selecting task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, TTS, full-duplex audio/video, image and video inference, and designing goodput-based multi-regime comparisons that fit InferRSI's evidence trail",
+ "prerequisites": "The primary objective, timing boundary, quality gates, sample/failure accounting, required regimes, repetitions, seeds and decision rule are frozen before optimization; baseline and candidate share hardware, software stack, input distribution, benchmark configuration, warmup and measurement protocol, and on a shared machine also one time window and dedicated devices",
+ "input_contract": "The task family and deployment use case; candidate quality evaluators and reference parity; the declared SLO and the caller's policy on which regimes must improve or must not regress; for an audit, a supplied fixed-workload report with request-to-trial grouping, exclusion and failure counts and the declared aggregation rule",
+ "produced_artifact": "A frozen benchmark design with evaluators, reference parity, primary objective, timing boundary, quality gates, required regimes, repetition and seed rules and an explicit decision config, plus the evidence-tree layout a PASS claim must produce; for a supplied report, the computed threshold result and missing evidence. Candidate knowledge, not qualification of any model or backend",
+ "failure_modes": [
+ "Raw throughput is optimized in place of goodput, so requests served outside the SLO count toward a win",
+ "One concurrency level or one undisclosed aggregate score stands in for all required regimes",
+ "Recorded agent task scores or replay completion are read as current task success, or a VBench prompt workload as computed VBench quality",
+ "An upstream better/worse/inconclusive label is used as InferRSI's PASS/FAIL/INCONCLUSIVE verdict",
+ "Runs on the same hardware class, in different time windows or on shared devices are compared as if pinned",
+ "A quality pass is taken to certify that the timed work actually occurred",
+ "Best-seen results are reported as delivered without restarting and validating the final code/config artifact"
+ ],
+ "refusal_point": "Records missing coverage and high-variance results as INCONCLUSIVE rather than a win; a run without a frozen RunSpec, or whose validator changed after the plan was frozen, is INCONCLUSIVE regardless of metric values; sets no universal numeric gate or noise threshold"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Freeze one primary objective, timing boundary, quality gates and sample/failure accounting before optimization.",
+ "Choose the required regimes from the deployment use case, report each separately, and record which must improve or must not regress in a versioned decision config.",
+ "Use the replay trace that matches the actual deployment pattern.",
+ "State the concurrency, trace, model, SKU and microbenchmark scope boundaries in any report that cites benchmark results."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
index 82a7d8512..f8f0b22e7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/admission-drain-occupancy.json",
@@ -54,7 +54,7 @@
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/qwen-ascend-rejected-directions.md": "be396983812262515899a3e2ba4f01b23ff92e1b836881882c7580372b8ae552",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/qwen-b300-rejected-directions.json": "146ea1564a46ed03092c7dc5796b318fc05b04b1821105ee00eb7fa7fa1333e2",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/qwen-b300-rejected-directions.md": "cce2930f544a0f78f21797fba4d8ded298e4a81f76c34d7977b0e31d361bc738",
- "src/inferrsi/data/skill_library/methods/inference-optimization-casebook/metadata.json": "fb55067fb45970319787068a3206110641cceaf0ccbabd706be6d0b3d2afc2ed",
+ "src/inferrsi/data/skill_library/methods/inference-optimization-casebook/metadata.json": "963488658f327d2379183d70357eabf832d70a6a70db2aa67f548493f4088d97",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -74,6 +74,27 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Structuring and querying a casebook of past optimization decisions as decision support, when recording optimization experiments or choosing the next optimization from prior art; the casebook is reference material and neither runs profiling nor makes decisions",
+ "prerequisites": "Whole-body text access to the case files for free-text search; applying a case first requires reading the nearest checked-in config and the model's deployment guide",
+ "input_contract": "For a query: natural search terms such as model name, knob, mechanism word or deployment feature, plus the current model and hardware. For a new case: mechanism, applies-when and does-not-apply conditions, procedure, expected effect, accuracy risk, verification, rollback and a real measurement trail with run ID, verdict, exact hardware SKU, model revision, workload and before/after result",
+ "produced_artifact": "Ranked matching cases read as precedents and diagnostic options, or a new or deprecated case record in the template; a precedent's procedure and expected direction of effect, not a guaranteed configuration or a measured result",
+ "failure_modes": [
+ "The query is pre-translated into canonical vocabulary or bounded by structured fields, so synonyms in the body text are missed",
+ "A case's specific values, such as batch size, tensor-parallel degree or kernel parameters, are copied instead of re-derived for the current model and hardware",
+ "The precedent's expected direction of effect stands in for measurement after the change is applied",
+ "A rejected direction is read as a permanent blacklist, or one discarded implementation as ruling out its mechanism",
+ "A confounded run, a missing experiment and a failed gate are recorded as the same evidence state",
+ "Cross-system cases are bootstrapped without re-verifying that the mechanism holds on the target hardware"
+ ],
+ "refusal_point": "Adds no case for an INCONCLUSIVE optimization-effect claim, a single-configuration result without plausible generalization, or a result without a real measurement trail, except a scoped diagnostic observation that keeps its verdict and configuration boundary; manufactures no PASS, and reading the records does not reopen a paused campaign"
+ },
+ "recommendations": [
+ "Search the full case bodies with free text first, then rank the hits by bottleneck class and signals.",
+ "Before retrying a rejected direction, state which condition changed or which uncertainty a bounded check resolves, run an unchanged control and choose the least expensive discriminating check.",
+ "Mark bootstrapped cases source_grounded or author_reported until a local measurement confirms or refutes them.",
+ "When a case's conditions no longer hold, mark it deprecated with the reason instead of deleting it."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -81,10 +102,26 @@
"provenance_readsets": [],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Structuring and querying a casebook of past optimization decisions as decision support, when recording optimization experiments or choosing the next optimization from prior art; the casebook is reference material and neither runs profiling nor makes decisions",
+ "prerequisites": "Whole-body text access to the case files for free-text search; applying a case first requires reading the nearest checked-in config and the model's deployment guide",
+ "input_contract": "For a query: natural search terms such as model name, knob, mechanism word or deployment feature, plus the current model and hardware. For a new case: mechanism, applies-when and does-not-apply conditions, procedure, expected effect, accuracy risk, verification, rollback and a real measurement trail with run ID, verdict, exact hardware SKU, model revision, workload and before/after result",
+ "produced_artifact": "Ranked matching cases read as precedents and diagnostic options, or a new or deprecated case record in the template; a precedent's procedure and expected direction of effect, not a guaranteed configuration or a measured result",
+ "failure_modes": [
+ "The query is pre-translated into canonical vocabulary or bounded by structured fields, so synonyms in the body text are missed",
+ "A case's specific values, such as batch size, tensor-parallel degree or kernel parameters, are copied instead of re-derived for the current model and hardware",
+ "The precedent's expected direction of effect stands in for measurement after the change is applied",
+ "A rejected direction is read as a permanent blacklist, or one discarded implementation as ruling out its mechanism",
+ "A confounded run, a missing experiment and a failed gate are recorded as the same evidence state",
+ "Cross-system cases are bootstrapped without re-verifying that the mechanism holds on the target hardware"
+ ],
+ "refusal_point": "Adds no case for an INCONCLUSIVE optimization-effect claim, a single-configuration result without plausible generalization, or a result without a real measurement trail, except a scoped diagnostic observation that keeps its verdict and configuration boundary; manufactures no PASS, and reading the records does not reopen a paused campaign"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Search the full case bodies with free text first, then rank the hits by bottleneck class and signals.",
+ "Before retrying a rejected direction, state which condition changed or which uncertainty a bounded check resolves, run an unchanged control and choose the least expensive discriminating check.",
+ "Mark bootstrapped cases source_grounded or author_reported until a local measurement confirms or refutes them.",
+ "When a case's conditions no longer hold, mark it deprecated with the reason instead of deleting it."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
index 7bce50ed9..a3a4dbe05 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
@@ -39,8 +39,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/causal-conv1d-dispatch-state.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
index fe9b2be1d..0c973287d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
index 4541877f0..29ce4888f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
index 462c10cba..d06b9c02a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/lily/LICENSE",
"src/inferrsi/data/skill_library/repositories/lily/NOTICE.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
index 89adca3d6..fa881a44d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/lithos-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
index 44413a63b..90be34729 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
"src/inferrsi/data/skill_library/repositories/local-dream/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
index 2586df867..a34225fed 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/mistral-rs/LICENSE",
"src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
index 5592c7239..3f13df05a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlc-llm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
index 7885bd956..64f16854a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
index 21cd8a302..b6de1e49f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
index 8273954c2..c4583c0ef 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json",
@@ -44,7 +44,7 @@
"checkout_ref": "checkout:optimization-search-policy",
"source_files": {
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md": "dd275a0576e827353963aae7f0b09494d60d0b9a4a2884fe575c85249fa3131b",
- "src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json": "4a61aab6b9984dacdccd657c17f2d959b3a6ffe74bfd2f1677438f3bb8f025d3",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json": "1fa57ffd478c49cabb2061f9b64806f0f4d3dc8bee17757d23b7e897b57e8ec6",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/INTEGRATION_NOTES.md": "157e74ba180426b279b548a729769f152bf18f9a78ffca4ebfcaf26b7d0c5292",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/MECHANISMS.md": "18bb2f5d7e52773c516420a142edfb531d0b9c822a2934d60f3234ac1cb9d40e",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/NEXT_GATE_LEADS.md": "16a264c7159f9c2c700ce8ba46e63f3e636b277c987da4970f6d2fa085fcb053",
@@ -70,6 +70,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Selecting, ordering and stopping optimization experiments: candidate generation, exploration versus exploitation, mechanism diversity, negative experiment memory, cost-aware escalation, budget allocation and stopping criteria, drawn from vllm-evolve, the TRT-LLM casebook and SkillOpt",
+ "prerequisites": "The useful work, quality contract, allowed approximations, timing boundary and resource budget are frozen before search, and a complete restartable incumbent is preserved; reading the procedures authorizes no execution, framework change, new resource spending or publication",
+ "input_contract": "Profiling data, existing config, prior experiment and negative records and the casebook for the current bottleneck class, model and hardware; each target stage's fraction of E2E time; the target, locally measured uncertainty and the authorized budget",
+ "produced_artifact": "An ordered experiment plan: one candidate change per round with an explicit hypothesis and its motivating evidence, a bounded shortlist of distinct mechanisms with assumptions, uncertainty, expected impact and evaluation cost, negative records turned into search constraints, and a stop-or-switch decision; when authorized rounds run, a recorded verdict per round with best-seen and delivered outcomes kept apart",
+ "failure_modes": [
+ "The evaluation protocol, measurement setup or baseline changes in the same round as the candidate",
+ "Benchmark budget is spent on a candidate that fails correctness",
+ "A matching keyword in a rejection record is used as a causal diagnosis or automatic veto, or one failed implementation excludes a whole solution family",
+ "Expensive work starts on a stage without computing its Amdahl contribution, so a large local speedup yields little E2E gain",
+ "One mechanism family keeps being sampled only because budget remains, without re-profiling after the limiting stage moves",
+ "Roofline proximity or a utilization threshold is used as a universal stopping rule",
+ "Screening is allowed to skip the frozen acceptance regimes or required service-level evidence"
+ ],
+ "refusal_point": "Discards a correctness-breaking, worse or inconclusive change instead of integrating it, preserves no-change when candidates cannot be separated, does not count a shortcut outside the authorized semantics as an optimization, and does not let a successful probe qualify a broken final state"
+ },
+ "recommendations": [
+ "Before generating a candidate, consult the casebook, the negative record and the target stage's Amdahl contribution.",
+ "Record every worse or inconclusive result with hypothesis, metric, context, evidence level and failure type, and derive a search constraint from it.",
+ "When about three experiments on one hypothesis return inconclusive from measurement variance, fix the protocol or move to a different hypothesis.",
+ "Before reporting, restore and verify the best fully valid incumbent through its canonical launcher."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -93,10 +115,27 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Selecting, ordering and stopping optimization experiments: candidate generation, exploration versus exploitation, mechanism diversity, negative experiment memory, cost-aware escalation, budget allocation and stopping criteria, drawn from vllm-evolve, the TRT-LLM casebook and SkillOpt",
+ "prerequisites": "The useful work, quality contract, allowed approximations, timing boundary and resource budget are frozen before search, and a complete restartable incumbent is preserved; reading the procedures authorizes no execution, framework change, new resource spending or publication",
+ "input_contract": "Profiling data, existing config, prior experiment and negative records and the casebook for the current bottleneck class, model and hardware; each target stage's fraction of E2E time; the target, locally measured uncertainty and the authorized budget",
+ "produced_artifact": "An ordered experiment plan: one candidate change per round with an explicit hypothesis and its motivating evidence, a bounded shortlist of distinct mechanisms with assumptions, uncertainty, expected impact and evaluation cost, negative records turned into search constraints, and a stop-or-switch decision; when authorized rounds run, a recorded verdict per round with best-seen and delivered outcomes kept apart",
+ "failure_modes": [
+ "The evaluation protocol, measurement setup or baseline changes in the same round as the candidate",
+ "Benchmark budget is spent on a candidate that fails correctness",
+ "A matching keyword in a rejection record is used as a causal diagnosis or automatic veto, or one failed implementation excludes a whole solution family",
+ "Expensive work starts on a stage without computing its Amdahl contribution, so a large local speedup yields little E2E gain",
+ "One mechanism family keeps being sampled only because budget remains, without re-profiling after the limiting stage moves",
+ "Roofline proximity or a utilization threshold is used as a universal stopping rule",
+ "Screening is allowed to skip the frozen acceptance regimes or required service-level evidence"
+ ],
+ "refusal_point": "Discards a correctness-breaking, worse or inconclusive change instead of integrating it, preserves no-change when candidates cannot be separated, does not count a shortcut outside the authorized semantics as an optimization, and does not let a successful probe qualify a broken final state"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Before generating a candidate, consult the casebook, the negative record and the target stage's Amdahl contribution.",
+ "Record every worse or inconclusive result with hypothesis, metric, context, evidence level and failure type, and derive a search constraint from it.",
+ "When about three experiments on one hypothesis return inconclusive from measurement variance, fix the protocol or move to a different hypothesis.",
+ "Before reporting, restore and verify the best fully valid incumbent through its canonical launcher."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
index 52d845e2b..d52d43715 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
index 447291de0..a12d0d89e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
index cfc4acbd4..836e55ae0 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:plan-activation-residency",
"source_files": {
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md": "542d8a1e6963f5019986e1fbd79d3a247a045a51487c09313026087ac457c15e",
- "src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json": "c6acae57d70190cea0e18c71c79127962181e58169e011df75d8635b3db4daa7",
+ "src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json": "0289c62f93d087cd6a4ba4140487925c4b3258a9db1f7004ff1dfb22fd6d4582",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/references/source-notes.md": "5ff52655cfd06fcf970ed2a7d4d4fe1c31115b102af2d41497de0c74848ed2b3",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -49,6 +49,27 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Proposing training activation and gradient memory reductions when pressure appears to come from live tensors or allocator-reserved memory, by distinguishing lifetime reordering, address packing and selective rematerialization; covers activation checkpointing for recomputation, not persistent recovery checkpoints",
+ "prerequisites": "The packaged evidence and limits are read before citing paper results; installing or running a solver or framework, modifying allocation or checkpoint policies, reproducing workloads or provisioning hardware needs separate authorization",
+ "input_contract": "The actual forward/backward/update DAG, shapes and precision, tensor sizes and consumer lifetimes; resident versus reserved peak bytes; operator, workspace and temporary-output peaks; batch and accumulation policy; optimizer and collective barriers; representative compute and transfer costs; whether the goal is fit, step time or time to a fixed training objective",
+ "produced_artifact": "A preferred candidate, simpler fallback, resource ledger, critical-path prediction, assumptions, counter-signals and unresolved-evidence list, with source claims kept apart from proposed decisions, plus a proposed matched comparison; a reviewable proposal, not an implementation",
+ "failure_modes": [
+ "Fragmentation and live-byte excess are not distinguished at the same phase",
+ "OLLA address packing is read as tensor placement across CPU/SSD tiers",
+ "Reordering moves a release or update past a dependency such as shared weights, accumulation, gradient clipping, optimizer state or collectives",
+ "A static packing plan ignores alignment, aliasing, workspace, asynchronous overlap or shape variability",
+ "Added recomputation consumes the compute window that previously hid transfers",
+ "Checkmate's rounding is taken to guarantee the memory cap, or its 10% allowance is used as a portable safety margin",
+ "A solver timeout is read as proof of infeasibility"
+ ],
+ "refusal_point": "Returns the missing classification instead of a preferred checkpoint interval when only total OOM memory is known, and escalates when a legal dependency graph, memory margin or correctness model is unavailable"
+ },
+ "recommendations": [
+ "Where ordering is legal, try earlier last-use and gradient release before adding computation or transfer.",
+ "Check dependency validity and memory feasibility separately for an approximate schedule.",
+ "Account for planning cost over the expected number of repeated steps."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -58,10 +79,26 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Proposing training activation and gradient memory reductions when pressure appears to come from live tensors or allocator-reserved memory, by distinguishing lifetime reordering, address packing and selective rematerialization; covers activation checkpointing for recomputation, not persistent recovery checkpoints",
+ "prerequisites": "The packaged evidence and limits are read before citing paper results; installing or running a solver or framework, modifying allocation or checkpoint policies, reproducing workloads or provisioning hardware needs separate authorization",
+ "input_contract": "The actual forward/backward/update DAG, shapes and precision, tensor sizes and consumer lifetimes; resident versus reserved peak bytes; operator, workspace and temporary-output peaks; batch and accumulation policy; optimizer and collective barriers; representative compute and transfer costs; whether the goal is fit, step time or time to a fixed training objective",
+ "produced_artifact": "A preferred candidate, simpler fallback, resource ledger, critical-path prediction, assumptions, counter-signals and unresolved-evidence list, with source claims kept apart from proposed decisions, plus a proposed matched comparison; a reviewable proposal, not an implementation",
+ "failure_modes": [
+ "Fragmentation and live-byte excess are not distinguished at the same phase",
+ "OLLA address packing is read as tensor placement across CPU/SSD tiers",
+ "Reordering moves a release or update past a dependency such as shared weights, accumulation, gradient clipping, optimizer state or collectives",
+ "A static packing plan ignores alignment, aliasing, workspace, asynchronous overlap or shape variability",
+ "Added recomputation consumes the compute window that previously hid transfers",
+ "Checkmate's rounding is taken to guarantee the memory cap, or its 10% allowance is used as a portable safety margin",
+ "A solver timeout is read as proof of infeasibility"
+ ],
+ "refusal_point": "Returns the missing classification instead of a preferred checkpoint interval when only total OOM memory is known, and escalates when a legal dependency graph, memory margin or correctness model is unavailable"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Where ordering is legal, try earlier last-use and gradient release before adding computation or transfer.",
+ "Check dependency validity and memory feasibility separately for an approximate schedule.",
+ "Account for planning cost over the expected number of repeated steps."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
index 23a1f0cb7..db8b509d2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/project-maya/LICENSE",
"src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
index e6b5a3cfa..898d10611 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
index e21baedae..71ed014cf 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
index ad53e36cc..672570eff 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json",
@@ -38,7 +38,7 @@
"checkout_ref": "checkout:skill-evolution-playbook",
"source_files": {
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md": "9cd37f21fe0d862069e4798edca8a04d59f8b840e55d521901594a63dddd9ba3",
- "src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json": "92b36338b9257e2e41b95e4370694d7de52ed84bc7971056b3bfced07b0993d8",
+ "src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json": "d3e790614e09d2d57acb24bfe8d2c2a524cc36bd667bd3867c557554bcbb605e",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -58,6 +58,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Design choices for evolving agent skills from execution traces, drawn from Trace2Skill and SkillOpt: when a trajectory should update a skill, how conflicting lessons are handled, how negative evidence is preserved, how large an edit should be and when skills split or merge; for designing or operating a skill evolution pipeline",
+ "prerequisites": "A final-test partition kept outside edit selection and the incumbent skill retained for rollback; changing a skill's scope first needs explicit review of its identity and consumers",
+ "input_contract": "Execution trajectories or trace IDs with the diagnosed causal failure and the successful behavior an amendment must preserve; the incumbent skill and its revision lineage; held-out evaluation results for candidate edits",
+ "produced_artifact": "A scoped case or amendment proposal, or a consolidated candidate edit, with rejection records and the versioned revision lineage; a candidate for independently evaluated acceptance, not a replacement decision or an efficacy claim",
+ "failure_modes": [
+ "An anecdote, or agreement among analysts, is taken as efficacy",
+ "Consolidation output is treated as a replacement decision instead of a candidate awaiting independent acceptance",
+ "A tie or uncertain result is reported as improvement",
+ "A conflict is resolved by voting for whichever outcome appeared more often in the pool",
+ "A rejection is applied to every future use of an idea instead of the comparison it constrains",
+ "Paper-specific section counts or length budgets are used as universal defaults, or a skill is split on length alone",
+ "A stronger task solver is assumed to be a stronger improver, or replay rankings and private inner scores are read as outer generalization"
+ ],
+ "refusal_point": "Records a conflict that conditioning cannot resolve, where the same context produces different outcomes across runs, as INCONCLUSIVE and flags it for human review instead of choosing a lesson; claims no universal minimum trace count, paper-to-code equivalence or local efficacy"
+ },
+ "recommendations": [
+ "Condition a conflicting lesson on its context (when X, do A; when Y, avoid A) before choosing one side.",
+ "Store each rejection record with its evaluation evidence, outside the deployed task procedure, and give it a retirement condition.",
+ "Bound the target passage and intended behavior before editing, inspect the actual diff and preserve rollback state.",
+ "Prefer an amendment when the existing skill owns the workflow; create a new candidate only for a genuinely distinct capability."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -65,10 +87,27 @@
"provenance_readsets": [],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Design choices for evolving agent skills from execution traces, drawn from Trace2Skill and SkillOpt: when a trajectory should update a skill, how conflicting lessons are handled, how negative evidence is preserved, how large an edit should be and when skills split or merge; for designing or operating a skill evolution pipeline",
+ "prerequisites": "A final-test partition kept outside edit selection and the incumbent skill retained for rollback; changing a skill's scope first needs explicit review of its identity and consumers",
+ "input_contract": "Execution trajectories or trace IDs with the diagnosed causal failure and the successful behavior an amendment must preserve; the incumbent skill and its revision lineage; held-out evaluation results for candidate edits",
+ "produced_artifact": "A scoped case or amendment proposal, or a consolidated candidate edit, with rejection records and the versioned revision lineage; a candidate for independently evaluated acceptance, not a replacement decision or an efficacy claim",
+ "failure_modes": [
+ "An anecdote, or agreement among analysts, is taken as efficacy",
+ "Consolidation output is treated as a replacement decision instead of a candidate awaiting independent acceptance",
+ "A tie or uncertain result is reported as improvement",
+ "A conflict is resolved by voting for whichever outcome appeared more often in the pool",
+ "A rejection is applied to every future use of an idea instead of the comparison it constrains",
+ "Paper-specific section counts or length budgets are used as universal defaults, or a skill is split on length alone",
+ "A stronger task solver is assumed to be a stronger improver, or replay rankings and private inner scores are read as outer generalization"
+ ],
+ "refusal_point": "Records a conflict that conditioning cannot resolve, where the same context produces different outcomes across runs, as INCONCLUSIVE and flags it for human review instead of choosing a lesson; claims no universal minimum trace count, paper-to-code equivalence or local efficacy"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Condition a conflicting lesson on its context (when X, do A; when Y, avoid A) before choosing one side.",
+ "Store each rejection record with its evaluation evidence, outside the deployed task procedure, and give it a retirement condition.",
+ "Bound the target passage and intended behavior before editing, inspect the actual diff and preserve rollback state.",
+ "Prefer an amendment when the existing skill owns the workflow; create a new candidate only for a genuinely distinct capability."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
index 942732ba4..dbfcf6e8c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/splash/LICENSE",
"src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
index 2c482a194..18ed4e8f4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
index 5a05cbd68..b92fd7186 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json",
@@ -41,7 +41,7 @@
"checkout_ref": "checkout:training-input-pipeline",
"source_files": {
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md": "64bd2c6b795d966045d1d3cca55976d3d49b08b06df7c7e06a70c2824cf55b7e",
- "src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json": "80659099fce6a6ec05e9084b75452c877a5812e30f60a78f31ef8c7efcdc1bac",
+ "src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json": "debad47896f600c7a1e19e477e34026c975dfde320a786dca1ddd02030a5feb1",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/references/sources.md": "60e0f3e88655d8e1d5eb4797f39ca4370deda01614f265b8d2ea4559d8ac020f",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -64,6 +64,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Diagnosing training input stalls and choosing bounded queue, shard-cache and cache-ownership changes from DALI, Mosaic Streaming and FFCV, while preserving execution-mode gates, sample ordering and per-host memory budgets and separating remote downloads, local storage reads and host/device transfers",
+ "prerequisites": "The pinned readset and its license constraints are read; reading authorizes no commands, cache manipulation or experiment",
+ "input_contract": "Dataset format, sample-size distribution, workers and ranks per host, ordering/shuffle, local-cache state and executor mode; a per-host memory budget that includes checkpoint staging and runtime offload; timings that separate remote fetch, decompression/decoding, transformation, batch readiness and device transfer",
+ "produced_artifact": "One proposed queue, shard-cache or cache-ownership change with its source-backed rule and boundary, the evidence proposed to confirm it, and a verification contract for a separately authorized comparison; no input-throughput, model-quality or hardware result",
+ "failure_modes": [
+ "Low accelerator utilization is taken to identify which producer stage is late",
+ "Missing legacy DALI statistics are read as zero use, or the execution mode is switched silently to obtain them, which changes the comparison",
+ "DALI run() returning is read as output-ready timing instead of the outputs() synchronization boundary",
+ "Mosaic predownload is treated as a byte cap or request count, or per-worker sample targets are multiplied into an exact network-byte prediction",
+ "Look-ahead is increased when the local cache cannot retain the working set, so evicted shards are downloaded again",
+ "cache_limit is read as a bound on total process RAM, or the constructor minimum as an optimum or a guarantee against thrashing",
+ "An FFCV memory map is taken as proof that its pages are resident"
+ ],
+ "refusal_point": "Rejects changes that violate sample coverage or the stated reproducibility contract even if batches arrive faster, does not report queue depth alone as a performance result, and draws no NPU acceleration claim from the CUDA-oriented DALI source"
+ },
+ "recommendations": [
+ "Record dataset format, sample sizes, workers per host, ordering, cache state and executor mode before proposing one change.",
+ "Increase Mosaic look-ahead only when readiness starvation is observed and cache headroom exists; otherwise address shard and working-set residency first.",
+ "Check the exact DALI configuration surface before use, because the constructor and deserialization paths use different queue keys.",
+ "In a later comparison, separate warm-cache throughput from cold retrieval and initialization, and report step time with input wait, host/HBM peaks and actual I/O."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -73,10 +95,27 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Diagnosing training input stalls and choosing bounded queue, shard-cache and cache-ownership changes from DALI, Mosaic Streaming and FFCV, while preserving execution-mode gates, sample ordering and per-host memory budgets and separating remote downloads, local storage reads and host/device transfers",
+ "prerequisites": "The pinned readset and its license constraints are read; reading authorizes no commands, cache manipulation or experiment",
+ "input_contract": "Dataset format, sample-size distribution, workers and ranks per host, ordering/shuffle, local-cache state and executor mode; a per-host memory budget that includes checkpoint staging and runtime offload; timings that separate remote fetch, decompression/decoding, transformation, batch readiness and device transfer",
+ "produced_artifact": "One proposed queue, shard-cache or cache-ownership change with its source-backed rule and boundary, the evidence proposed to confirm it, and a verification contract for a separately authorized comparison; no input-throughput, model-quality or hardware result",
+ "failure_modes": [
+ "Low accelerator utilization is taken to identify which producer stage is late",
+ "Missing legacy DALI statistics are read as zero use, or the execution mode is switched silently to obtain them, which changes the comparison",
+ "DALI run() returning is read as output-ready timing instead of the outputs() synchronization boundary",
+ "Mosaic predownload is treated as a byte cap or request count, or per-worker sample targets are multiplied into an exact network-byte prediction",
+ "Look-ahead is increased when the local cache cannot retain the working set, so evicted shards are downloaded again",
+ "cache_limit is read as a bound on total process RAM, or the constructor minimum as an optimum or a guarantee against thrashing",
+ "An FFCV memory map is taken as proof that its pages are resident"
+ ],
+ "refusal_point": "Rejects changes that violate sample coverage or the stated reproducibility contract even if batches arrive faster, does not report queue depth alone as a performance result, and draws no NPU acceleration claim from the CUDA-oriented DALI source"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Record dataset format, sample sizes, workers per host, ordering, cache state and executor mode before proposing one change.",
+ "Increase Mosaic look-ahead only when readiness starvation is observed and cache headroom exists; otherwise address shard and working-set residency first.",
+ "Check the exact DALI configuration surface before use, because the constructor and deserialization paths use different queue keys.",
+ "In a later comparison, separate warm-cache throughput from cold retrieval and initialization, and report step time with input wait, host/HBM peaks and actual I/O."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
index 5b6c1b591..4e487ff6d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json",
@@ -48,7 +48,7 @@
"checkout_ref": "checkout:training-resource-budget",
"source_files": {
"src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md": "bdfa5a4ef37d9f303c3a23cd6f98c21137b97ac5ed58e0ed5fac6d71d33e52ef",
- "src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json": "d42b614af9cee6ee0d4a25dc5d57c7b98438feed1e807a7c9f1755109a86e9cf",
+ "src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json": "ebcaee25e65e1b82a3ddde5681e81a6438d34f33fcf85a5d359fa38117e16821",
"src/inferrsi/data/skill_library/methods/training-resource-budget/references/mindspeed-historical.md": "eb97f935ed30517a8fc9edec5e9cddc04f5d679d156c16d75bd29c534593360a",
"src/inferrsi/data/skill_library/methods/training-resource-budget/references/papers-20261015/INTEGRATION_NOTES.md": "c55c6ad2131ef788866411dcc7056f221420ebff30c95c6bc919b09a4818cb73",
"src/inferrsi/data/skill_library/methods/training-resource-budget/references/papers-20261015/cases/paper-grounded-cases.md": "19bd25b1a944adb2351ebc6b1d795150ea033041a44f6cc261e881677812a101",
@@ -78,6 +78,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Choosing training offload and resource-budget changes from pinned DeepSpeed configuration, attributed expert diagnosis and a historical MindSpeed case, balancing accelerator capacity, CPU work, pinned RAM and local storage while keeping host/device transfer exposure distinct from collective network bottlenecks",
+ "prerequisites": "The source boundaries are read; garbage-collection or affinity changes, privileged memlock changes and delayed parameter updates each need separate approval, and the skill authorizes no newest-wheel installation, scheduler-priority change, benchmark or failure injection",
+ "input_contract": "State attributed to parameters, optimizer state, gradients or activations with its current memory tier, lifetime and next consumer; whether the failure is allocation capacity or throughput; a per-host budget for input buffers, checkpoint snapshots, offloaded state, OS cache and CPU workers with the actual ranks sharing the host; the host/device link recorded apart from collective traffic; the exact source version and enabled execution mode",
+ "produced_artifact": "A candidate decision record per proposal: the observed limiting interval and owning state or resource, source version and execution mode, capacity released and resources consumed with units and uncertainty, overlap readiness and mutation boundaries with expected contention, and the fixed-workload step and correctness evidence required for later validation",
+ "failure_modes": [
+ "A change that lets the model fit is presented as a speedup, although it can slow each step",
+ "A tensor copied to CPU is taken as an InfiniBand/RoCE bottleneck, or CPU/NVMe offload is counted as network evidence",
+ "Parameter max_in_cpu is read as a byte or total-host-memory cap instead of an element count",
+ "NVMe optimizer placement is assumed to remove CPU optimizer demand",
+ "The parameter buffer-pool count is transplanted to the optimizer, or all optimizers are assumed to hold identical states",
+ "Configuration presence or schema documentation is taken as evidence that a knob or overlap actually ran",
+ "Ordinary overlap is taken as permission for delayed, stale parameter updates"
+ ],
+ "refusal_point": "Claims no hardware validation, measured gain or current NPU compatibility, keeps source support and extracted coverage separate from measured improvement, and does not reuse the MindSpeed headline gain or treat that historical case as an implementation recipe or proof of current Ascend support"
+ },
+ "recommendations": [
+ "Attribute the state and separate a capacity failure from a throughput bottleneck before choosing an offload surface.",
+ "Verify the consumer of buffer_size before calculating bytes or tuning it, and measure the executing path before claiming a knob ran.",
+ "Compare the whole step's critical path, not host capacity alone.",
+ "Use plan-activation-residency, choose-parallel-training-plan and assess-split-backward-schedule for live-range, parallel-plan and backward-ordering questions."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -94,10 +116,27 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Choosing training offload and resource-budget changes from pinned DeepSpeed configuration, attributed expert diagnosis and a historical MindSpeed case, balancing accelerator capacity, CPU work, pinned RAM and local storage while keeping host/device transfer exposure distinct from collective network bottlenecks",
+ "prerequisites": "The source boundaries are read; garbage-collection or affinity changes, privileged memlock changes and delayed parameter updates each need separate approval, and the skill authorizes no newest-wheel installation, scheduler-priority change, benchmark or failure injection",
+ "input_contract": "State attributed to parameters, optimizer state, gradients or activations with its current memory tier, lifetime and next consumer; whether the failure is allocation capacity or throughput; a per-host budget for input buffers, checkpoint snapshots, offloaded state, OS cache and CPU workers with the actual ranks sharing the host; the host/device link recorded apart from collective traffic; the exact source version and enabled execution mode",
+ "produced_artifact": "A candidate decision record per proposal: the observed limiting interval and owning state or resource, source version and execution mode, capacity released and resources consumed with units and uncertainty, overlap readiness and mutation boundaries with expected contention, and the fixed-workload step and correctness evidence required for later validation",
+ "failure_modes": [
+ "A change that lets the model fit is presented as a speedup, although it can slow each step",
+ "A tensor copied to CPU is taken as an InfiniBand/RoCE bottleneck, or CPU/NVMe offload is counted as network evidence",
+ "Parameter max_in_cpu is read as a byte or total-host-memory cap instead of an element count",
+ "NVMe optimizer placement is assumed to remove CPU optimizer demand",
+ "The parameter buffer-pool count is transplanted to the optimizer, or all optimizers are assumed to hold identical states",
+ "Configuration presence or schema documentation is taken as evidence that a knob or overlap actually ran",
+ "Ordinary overlap is taken as permission for delayed, stale parameter updates"
+ ],
+ "refusal_point": "Claims no hardware validation, measured gain or current NPU compatibility, keeps source support and extracted coverage separate from measured improvement, and does not reuse the MindSpeed headline gain or treat that historical case as an implementation recipe or proof of current Ascend support"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Attribute the state and separate a capacity failure from a throughput bottleneck before choosing an offload surface.",
+ "Verify the consumer of buffer_size before calculating bytes or tuning it, and measure the executing path before claiming a knob ran.",
+ "Compare the whole step's critical path, not host capacity alone.",
+ "Use plan-activation-residency, choose-parallel-training-plan and assess-split-backward-schedule for live-range, parallel-plan and backward-ordering questions."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
index 5ef5e7c06..7e3de3176 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/assets/campaign.template.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
index 43bdca8b3..7b8ff0124 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
index fe91cb583..05f3af346 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
index 8136f723d..267264193 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
index 6416fc85f..cdbd2ecc6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/LICENSE",
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
index 8110dcc03..e2d74d381 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
index 63eaa042c..a78dad1f6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
index aa846ab58..eb9c6e654 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
@@ -36,8 +36,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/e736be55bf2927f5cbd0408682baa65f4f6fb7e8/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
- "commit": "e736be55bf2927f5cbd0408682baa65f4f6fb7e8",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
+ "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json",
diff --git a/src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json b/src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json
index 168c782db..d03ef788f 100644
--- a/src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json
@@ -8,6 +8,27 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Diagnosing whether LLM serving queue delay justifies token-boundary priority preemption, including suspended KV, host swap or recomputation and long-request service guarantees; admission-versus-service-order diagnosis, not current scheduler implementation or tenant-fairness certification",
+ "prerequisites": "The packaged source notes are read before quoting a metric or comparing a baseline; installing, benchmarking, changing scheduling or admission, migrating state, editing a repository or running a reproduction needs a separately authorized task",
+ "input_contract": "The late boundary (first token, token gap, completion or a stated cohort's service) with its exact percentile or attainment target and denominator; model and KV format, engine revision, safe interruption boundary, request batch limit, input/output/context distributions, arrival bursts, device live/reserved/allocated bytes, active and suspended requests, host budget, transfer path, recovery time and queue/phase/service timings; per-tenant or priority-class obligations kept apart from aggregate latency",
+ "produced_artifact": "A read-only decision naming the observed failure boundary, the smallest candidate that addresses it, unchanged assumptions, missing evidence, resource cost, affected cohorts, counter-signal and next authorized gate, plus a proposed verification plan; not a validated configuration",
+ "failure_modes": [
+ "An ordinary iteration boundary is taken to permit interrupting a prefill halfway through",
+ "Unknown output length is treated as known from the prompt",
+ "KV is counted for the running batch only, omitting started requests that are suspended",
+ "Reservations are removed because some reserved capacity is not live",
+ "Recompute-based eviction is proposed without a progress invariant, so two jobs can repeatedly displace each other",
+ "Host-device copies or same-host IPC are charged to Network instead of their local resource"
+ ],
+ "refusal_point": "Withholds a preemption recommendation when the apparent gain can be explained by different kernels, unmatched parallelism or an incomparable latency metric; unknown safe boundaries, unsupported state recovery, uncalibrated timing or unclear service obligations are blockers"
+ },
+ "recommendations": [
+ "Name the late boundary and its exact target and denominator before choosing among batching, admission, preemption and state recovery.",
+ "Send prefill interference to choose-prefill-decode-schedule and physical KV slack to diagnose-kv-block-efficiency when those candidates are available; otherwise report the diagnosed boundary and the missing evidence.",
+ "In a later authorized test, isolate service ordering first and state recovery second, and evaluate their interaction only after both are understood.",
+ "Weigh FastServe's same-engine FCFS comparison above its historical-vLLM headline, and do not read its P95 aggregate gain as a starvation or tenant-fairness guarantee."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
diff --git a/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json b/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json
index 7cf649339..18173e4cf 100644
--- a/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json
@@ -7,6 +7,26 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Assessing memory-capped split-backward and V-shaped pipeline schedule proposals when a pipeline trace suggests input-gradient propagation waits behind deferrable weight-gradient work or an optimizer barrier, while preserving synchronous update, global-batch and optimizer-validation semantics",
+ "prerequisites": "The packaged evidence notes are read before citing the paper; installing or running frameworks, benchmarking schedules, changing training semantics, configuring hardware or modifying repositories needs separate authorization",
+ "input_contract": "Stage and microbatch counts, microbatch and global batch, precision, optimizer and clipping/NaN behavior; F, input-gradient B, weight-gradient W and transfer timings; per-pass retained and released bytes; total device peak and margin; collective ordering; kernel-splitting support; calculated bubble rate kept apart from measured idle time and useful samples/s",
+ "produced_artifact": "A candidate schedule and fallback with per-pass order rationale, peak-memory and transfer costs, unchanged semantic requirements, counter-signals and a future verification proposal; a reviewable plan, not an enabled schedule",
+ "failure_modes": [
+ "Completion of B is equated with releasing all activations, so W inputs retained by deferral go uncounted",
+ "The equal-time zero-bubble construction replaces observed F/B/W and transfer times, or kernel-splitting and synchronization overhead is left out",
+ "The schedule is chosen by minimum modeled bubble rate instead of whole-step throughput under the memory and quality constraint",
+ "pMB activation capacity is read as total memory, hiding HBM, workspace, buffers or per-rank imbalance",
+ "Removing the optimizer barrier drops global norm, clipping or NaN decisions, rollback and re-update, or the correctness of work that depends on a tentative update",
+ "Optimizer post-validation is conflated with accepting stale-gradient delayed updates"
+ ],
+ "refusal_point": "Withholds an enablement recommendation under frequent clipping/NaNs, small available memory, strongly unequal passes, unsupported split kernels, hidden collectives or dynamic shapes, and retains the synchronized fallback while optimizer reversibility and rollback coverage are unverified"
+ },
+ "recommendations": [
+ "Compare ordinary 1F1B with a memory-capped split schedule first; add V-shaped two-chunk placement only when memory permits, and at matched global batch also try smaller microbatches with more microbatches.",
+ "Decide optimizer post-validation separately from the schedule change.",
+ "In a later authorized comparison, hold model, global batch and precision fixed and compare real with calculated idle intervals."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
diff --git a/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json b/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json
index 81b8fdcfc..1e6acf5cc 100644
--- a/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json
@@ -3,6 +3,25 @@
"origin": ["internal"],
"tags": ["performance", "audit", "measurement"],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Auditing a performance claim against supplied fixed-workload reports and an explicit measurement contract: aggregation, retained observations, comparability and quality evidence",
+ "input_contract": "Baseline and candidate fixed-workload reports with request observations grouped by trial and workload; the measurement contract stating metric, unit, timing boundary, improvement direction, aggregation rule and order, fixed exclusions, threshold and comparison operator; the declared quality and completion evidence; the requested output schema",
+ "produced_artifact": "An audit conclusion showing baseline and candidate aggregates, the calculation, the threshold comparison and the evidence or missing information that controls the verdict; it interprets supplied evidence and does not itself establish a measured improvement",
+ "failure_modes": [
+ "A pooled request median silently replaces a median of per-trial means, or the reverse, reweighting trials whose request counts differ",
+ "Late requests, failures or outliers are dropped, or requests move between trials, outside the exclusions the contract fixes",
+ "Values are rounded before the threshold comparison",
+ "A missing rule that permits different verdicts is resolved toward the favorable one",
+ "A speed improvement is read as task success, or a quality pass as equivalent measured work",
+ "Different workloads or incomplete observations are repaired by a favorable aggregate"
+ ],
+ "refusal_point": "Does not replace missing evidence with a pass, does not support a percentage claim on an undefined denominator, and does not launch a new benchmark or alter the contract to resolve an unfavorable result; a failed threshold is reported apart from an unverified comparison or missing quality evidence"
+ },
+ "recommendations": [
+ "Recover the contract's metric, direction, aggregation order and comparison operator before reading the report's own verdict.",
+ "Treat a named minimum bound as >= and a maximum bound as <= unless the contract requires a strict comparison.",
+ "Keep separate regimes and metrics separate unless the contract defines their aggregation."
+ ],
"limitations": [
"Guidance for supplied reports; no local efficacy validation or measured performance gain is established."
]
diff --git a/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json b/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json
index f684ccde7..b9c515288 100644
--- a/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json
@@ -21,6 +21,26 @@
"readset": "references/source-notes.md"
}
],
+ "applicability": {
+ "scope": "Building an evidence-gated serving-configuration shortlist when a profiled simulator or cost model is proposed to reduce deployment experiments; extends performance-ceiling-analysis, optimization-search-policy and inference-benchmark-design without replacing their ceilings or measurement contract",
+ "prerequisites": "The packaged Vidur evidence and evidence-type notes are read; reading the skill does not authorize execution, and no validation check runs under it without separate execution authorization",
+ "input_contract": "Model, shape and dtype; actual kernel/runtime revision; graph mode; GPU, host and topology; request length and arrival distribution; total resources and cost basis; memory limits; latency definitions and percentile SLOs",
+ "produced_artifact": "A bounded decision memo with input identities, model assumptions, evidence type, exact metrics and denominators, unsupported dimensions, nondominated candidates with predicted ranges, joint constraint checks, the next discriminating trial and rollback/finalization requirements, keeping prediction and measurement columns apart; a shortlist for future measurement, not a measured result",
+ "failure_modes": [
+ "Learned runtime output is labeled a physical bound",
+ "A missing identity is filled with a paper default, or topology is substituted, instead of being marked unknown",
+ "A low-load check stands in for an SLO claim at the intended load regime and capacity boundary",
+ "A predictor that relies on summed KV volume hides batches with equal volume but unequal context distributions",
+ "Capacity binary search is applied without verifying its monotonic/stationary premise or treating overloaded samples explicitly",
+ "One predicted winner is reported when uncertainty exceeds rank separation"
+ ],
+ "refusal_point": "Stops predictive certification when profiles are missing, topology is substituted, error grows near capacity or host overhead is omitted; labels an ordering unresolved when uncertainty exceeds rank separation; asserts neither universal error below 9% nor current vLLM, asynchronous PP or NPU support from the historical simulator paper"
+ },
+ "recommendations": [
+ "Classify every estimate as a physical bound, measured envelope, Amdahl-style conditional impact or empirical prediction before comparing configurations.",
+ "Keep prefill and decode separate in the operator signatures, and record how sharding and memory planning enter the model.",
+ "Recalibrate after workload drift, kernel/graph/runtime changes, new hardware or topology, or mismatched residuals."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation."
],
diff --git a/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json b/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json
index 0e000aa09..8ca288e82 100644
--- a/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json
@@ -14,6 +14,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Assessing distributed checkpoint recovery through DLRover memory agreement, persistence completion and replica transport, and NVIDIA Resiliency Extension complete-iteration selection; distinguishes worker, host and replica loss and separates queued saves, publication, application-state validity and durable recovery. Save performance belongs to dcp-async-save-performance",
+ "prerequisites": "The pinned sources and limits are read; reading authorizes no launchers, failure injection or checkpoint loading, and restore evidence needs separate authorization",
+ "input_contract": "The declared failure domain; actual memory, storage and replica placement and helper lifetime; step or iteration identity, the expected shard/rank set and finalization result; the application's model, optimizer and caller-required RNG/scheduler/data-position state contract; the target environment's format and world-size/replication assumptions",
+ "produced_artifact": "An answer to each of the four acceptance questions (snapshot survival, cross-participant completeness, application-state completeness, restorability) at its own evidence level, a proposed per-generation recovery evidence record including errors and skipped saves, and a proposed verification split by worker, host, replica and persistent-storage loss; no recovery success, durability, NPU support or measured gain",
+ "failure_modes": [
+ "Equal steps or complete rank IDs are taken to verify tensor contents or whole application semantics",
+ "A skipped save, where not every participant acquired shared-memory access, is reported as a new recovery point",
+ "A returned step paired with an empty state dictionary is read as a successful restore",
+ "A local maximum filename or one clean shard substitutes for global coverage",
+ "The .dirty-then-rename publication is read as power-loss durability",
+ "An asynchronous save request is treated as a completed checkpoint, or queue concurrency is assumed unlimited",
+ "One failure domain is tested and recovery from all of them is claimed"
+ ],
+ "refusal_point": "Claims no recovery success, durability, NPU support or measured gain, does not upgrade allocation, metadata or a completed collective into proven recovery, and neither injects failures nor authorizes them"
+ },
+ "recommendations": [
+ "Answer the four acceptance questions separately; record each at its own evidence level.",
+ "Count replication as added availability only when copies occupy independent failure domains, and budget clean, dirty and replicated shards on each host.",
+ "Keep the one-outstanding asynchronous save restriction until the target queue version is checked.",
+ "Send save-throughput questions to dcp-async-save-performance; a faster return or higher write throughput does not establish recoverability."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
diff --git a/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json b/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json
index 7cf649339..afc792f30 100644
--- a/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json
@@ -7,6 +7,26 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Comparing stage, device-mesh and operator-sharding candidates for static distributed training when heterogeneous stage memory or work, or communication cost, makes a uniform data/tensor/pipeline plan suspect; derived from historical Alpa, not a current compiler configuration guide",
+ "prerequisites": "The packaged source notes are read; the skill authorizes no compiler or solver install or run, parallelism reconfiguration, repository edit, hardware task or benchmark",
+ "input_contract": "Model operator graph and shapes; global batch, microbatch and accumulation; precision and optimizer; physical links and contention; candidate shard layouts; stage latency, workspace and in-flight activation memory; the objective and expected run length. A device count without topology is insufficient",
+ "produced_artifact": "The best supported candidate and a simpler fallback with a memory and critical-path ledger, planning cost and amortization, semantic invariants, counter-signals, missing evidence and a proposed matched comparison; a plan, not a reconfiguration",
+ "failure_modes": [
+ "Equal arithmetic work is taken to mean equal kernel time, carrying over Alpa's zero compute-cost simplification",
+ "Mean memory replaces the largest per-rank peak with multiple in-flight activation sets",
+ "Inter-stage transfer and microbatch count stay outside the objective, as in historical Alpa, without the gap being reported",
+ "Repeated slow-link sends to replicated destination tiles are not compared with one cross-mesh transfer plus local allgather",
+ "Inter-node Network traffic is merged with intra-node accelerator links",
+ "Static cost estimates are applied to dynamic shapes, asymmetric devices or changing communication contention"
+ ],
+ "refusal_point": "Rejects infeasible stage/mesh pairs, claims no global optimality outside the declared search space, and stops at the plan in paper-only mode"
+ },
+ "recommendations": [
+ "Keep a simple reference plan with the same training semantics and global batch as the comparison point.",
+ "Separate fixed-model scaling from model-size weak scaling before quoting a speedup; Alpa's 9.7x MoE ratio belongs to a specific weak-scaling workload, baseline and 25-Gbps cluster.",
+ "Weigh planning cost against the expected run length; a shorter job may not amortize it."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
diff --git a/src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json b/src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json
index 7893a0b1f..14777a2c0 100644
--- a/src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json
@@ -13,6 +13,26 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Deciding which performance evidence to collect next and which claim each evidence level supports, from correctness through microbenchmark, component profile, isolated scenario benchmark and multi-regime serving benchmark to a production A/B experiment; also structuring a measurement campaign",
+ "prerequisites": "Level 0 correctness evidence is collected before any performance measurement; a Level 5 experiment needs production infrastructure, traffic splitting and statistical power",
+ "input_contract": "The claim to be made or the question to answer, and the evidence already collected with its level, workload, hardware/software context and controls",
+ "produced_artifact": "The minimum evidence level each claim requires, the next evidence to collect under the escalation rule, and negative-result records with hypothesis, evidence level, the metric that did not improve, context and the reason if known; a classification of evidence, not a measurement",
+ "failure_modes": [
+ "An md5 match or a test pass is read as semantically correct output or as support for a performance claim",
+ "A microbenchmark improvement is reported as an inference throughput gain",
+ "Absolute kernel durations or single collective latencies are compared across devices or sessions",
+ "A win on one fixed workload or concurrency is generalized to production traffic",
+ "Worse metrics, per-task regressions or negative results are discarded, or a shared task budget is taken as equal total cost"
+ ],
+ "refusal_point": "Withholds any claim above the level its evidence reaches, leaves an unresolved source protocol or denominator mismatch unresolved, and lets neither upstream scores nor local packaging checks promote an InferRSI candidate"
+ },
+ "recommendations": [
+ "Collect Level 0 first and profile at Level 2 before implementing; escalate to Level 3 only after a promising Level 2 result, and to Level 4 only after a Level 3 win worth validating across regimes.",
+ "Collect a Level 1 microbenchmark only for an isolated-kernel question after Level 2 has confirmed that kernel is on the critical path.",
+ "For a Level 1 claim, pin input shape and dtype, exclude warmup, synchronize before timing, run at least 10 repetitions and report median and IQR; for a Level 3 claim, match hardware, software stack, model revision and inputs, run at least 3 repetitions and alternate A/B/A order.",
+ "Read the admission/drain occupancy case when interpreting finite service cohorts; phase-selected occupancy is not end-to-end gain."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
diff --git a/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json b/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json
index c87aaf462..312f66977 100644
--- a/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json
@@ -8,6 +8,26 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Comparing migration of a running LLM request between compatible model replicas with changing its sequence-parallel execution group, including state-copy, reservation, recomputation, interruption and priority costs, for cross-instance memory imbalance or highly variable long-context serving; not connector wiring or live scaling",
+ "prerequisites": "The relevant Llumnix or LoongServe branch and its readset in the packaged source notes are read; moving state, altering admission or priority, scaling replicas, changing parallelism, running experiments or editing frameworks needs separate authorization",
+ "input_contract": "Exact model and cache identity and format; weight residency; request phase, context and generated length; source and destination KV bytes; physical free/reserved memory and virtual accounting; batch state; current parallel group; queue and service times; actual topology and transport for each path; the target SLO statistic and affected priority or tenant cohorts",
+ "produced_artifact": "The smallest justified branch with missing capability or evidence, expected saved work or wait, added state, traffic and replica cost, affected SLO and cohorts, counter-signals, the proposed next gate and a future verification plan; an evidence-based recommendation, not a validated deployment rule",
+ "failure_modes": [
+ "Model-weight repartitioning, pipeline configuration, instance migration and sequence sharding are treated as interchangeable uses of parallelism",
+ "Aggregate free bytes are taken to mean a single blocked request fits, conflating internal KV-block slack with cross-instance fragmentation",
+ "Llumnix's 20-30 ms measured downtime is substituted for total transfer time",
+ "Virtual headroom is counted as extra memory or as a tenant-fairness guarantee",
+ "A zero-overhead transition label is read as every group change being free, or a token sum hides length-sensitive attention work",
+ "Ongoing distributed-attention communication goes uncharged because existing KV does not migrate"
+ ],
+ "refusal_point": "Withholds the candidate when every destination is full, pre-copy catch-up is unproven, model or cache compatibility is unknown, or the measured work saved does not exceed exposed costs; current-code review and target-system tests remain a later authorization gate"
+ },
+ "recommendations": [
+ "Decide first whether the question is replica relocation, a sequence-parallel group change, or prefix reuse and phase pools, which evaluate-kv-cache-transfer-gates and choose-prefill-decode-schedule cover when available.",
+ "Name each transfer path separately; only inter-node transport is Network.",
+ "Keep a feasible static, no-migration baseline in any later comparison."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
diff --git a/src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json b/src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json
index f9f841fd6..a8c90d7d4 100644
--- a/src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json
@@ -142,6 +142,28 @@
}
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Selecting task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, TTS, full-duplex audio/video, image and video inference, and designing goodput-based multi-regime comparisons that fit InferRSI's evidence trail",
+ "prerequisites": "The primary objective, timing boundary, quality gates, sample/failure accounting, required regimes, repetitions, seeds and decision rule are frozen before optimization; baseline and candidate share hardware, software stack, input distribution, benchmark configuration, warmup and measurement protocol, and on a shared machine also one time window and dedicated devices",
+ "input_contract": "The task family and deployment use case; candidate quality evaluators and reference parity; the declared SLO and the caller's policy on which regimes must improve or must not regress; for an audit, a supplied fixed-workload report with request-to-trial grouping, exclusion and failure counts and the declared aggregation rule",
+ "produced_artifact": "A frozen benchmark design with evaluators, reference parity, primary objective, timing boundary, quality gates, required regimes, repetition and seed rules and an explicit decision config, plus the evidence-tree layout a PASS claim must produce; for a supplied report, the computed threshold result and missing evidence. Candidate knowledge, not qualification of any model or backend",
+ "failure_modes": [
+ "Raw throughput is optimized in place of goodput, so requests served outside the SLO count toward a win",
+ "One concurrency level or one undisclosed aggregate score stands in for all required regimes",
+ "Recorded agent task scores or replay completion are read as current task success, or a VBench prompt workload as computed VBench quality",
+ "An upstream better/worse/inconclusive label is used as InferRSI's PASS/FAIL/INCONCLUSIVE verdict",
+ "Runs on the same hardware class, in different time windows or on shared devices are compared as if pinned",
+ "A quality pass is taken to certify that the timed work actually occurred",
+ "Best-seen results are reported as delivered without restarting and validating the final code/config artifact"
+ ],
+ "refusal_point": "Records missing coverage and high-variance results as INCONCLUSIVE rather than a win; a run without a frozen RunSpec, or whose validator changed after the plan was frozen, is INCONCLUSIVE regardless of metric values; sets no universal numeric gate or noise threshold"
+ },
+ "recommendations": [
+ "Freeze one primary objective, timing boundary, quality gates and sample/failure accounting before optimization.",
+ "Choose the required regimes from the deployment use case, report each separately, and record which must improve or must not regress in a versioned decision config.",
+ "Use the replay trace that matches the actual deployment pattern.",
+ "State the concurrency, trace, model, SKU and microbenchmark scope boundaries in any report that cites benchmark results."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets.",
diff --git a/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/metadata.json b/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/metadata.json
index b7db68e5a..0d321e5cb 100644
--- a/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/metadata.json
@@ -13,6 +13,27 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Structuring and querying a casebook of past optimization decisions as decision support, when recording optimization experiments or choosing the next optimization from prior art; the casebook is reference material and neither runs profiling nor makes decisions",
+ "prerequisites": "Whole-body text access to the case files for free-text search; applying a case first requires reading the nearest checked-in config and the model's deployment guide",
+ "input_contract": "For a query: natural search terms such as model name, knob, mechanism word or deployment feature, plus the current model and hardware. For a new case: mechanism, applies-when and does-not-apply conditions, procedure, expected effect, accuracy risk, verification, rollback and a real measurement trail with run ID, verdict, exact hardware SKU, model revision, workload and before/after result",
+ "produced_artifact": "Ranked matching cases read as precedents and diagnostic options, or a new or deprecated case record in the template; a precedent's procedure and expected direction of effect, not a guaranteed configuration or a measured result",
+ "failure_modes": [
+ "The query is pre-translated into canonical vocabulary or bounded by structured fields, so synonyms in the body text are missed",
+ "A case's specific values, such as batch size, tensor-parallel degree or kernel parameters, are copied instead of re-derived for the current model and hardware",
+ "The precedent's expected direction of effect stands in for measurement after the change is applied",
+ "A rejected direction is read as a permanent blacklist, or one discarded implementation as ruling out its mechanism",
+ "A confounded run, a missing experiment and a failed gate are recorded as the same evidence state",
+ "Cross-system cases are bootstrapped without re-verifying that the mechanism holds on the target hardware"
+ ],
+ "refusal_point": "Adds no case for an INCONCLUSIVE optimization-effect claim, a single-configuration result without plausible generalization, or a result without a real measurement trail, except a scoped diagnostic observation that keeps its verdict and configuration boundary; manufactures no PASS, and reading the records does not reopen a paused campaign"
+ },
+ "recommendations": [
+ "Search the full case bodies with free text first, then rank the hits by bottleneck class and signals.",
+ "Before retrying a rejected direction, state which condition changed or which uncertainty a bounded check resolves, run an unchanged control and choose the least expensive discriminating check.",
+ "Mark bootstrapped cases source_grounded or author_reported until a local measurement confirms or refutes them.",
+ "When a case's conditions no longer hold, mark it deprecated with the reason instead of deleting it."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
diff --git a/src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json b/src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json
index e8c8f532c..21b1d58bb 100644
--- a/src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json
@@ -13,6 +13,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Selecting, ordering and stopping optimization experiments: candidate generation, exploration versus exploitation, mechanism diversity, negative experiment memory, cost-aware escalation, budget allocation and stopping criteria, drawn from vllm-evolve, the TRT-LLM casebook and SkillOpt",
+ "prerequisites": "The useful work, quality contract, allowed approximations, timing boundary and resource budget are frozen before search, and a complete restartable incumbent is preserved; reading the procedures authorizes no execution, framework change, new resource spending or publication",
+ "input_contract": "Profiling data, existing config, prior experiment and negative records and the casebook for the current bottleneck class, model and hardware; each target stage's fraction of E2E time; the target, locally measured uncertainty and the authorized budget",
+ "produced_artifact": "An ordered experiment plan: one candidate change per round with an explicit hypothesis and its motivating evidence, a bounded shortlist of distinct mechanisms with assumptions, uncertainty, expected impact and evaluation cost, negative records turned into search constraints, and a stop-or-switch decision; when authorized rounds run, a recorded verdict per round with best-seen and delivered outcomes kept apart",
+ "failure_modes": [
+ "The evaluation protocol, measurement setup or baseline changes in the same round as the candidate",
+ "Benchmark budget is spent on a candidate that fails correctness",
+ "A matching keyword in a rejection record is used as a causal diagnosis or automatic veto, or one failed implementation excludes a whole solution family",
+ "Expensive work starts on a stage without computing its Amdahl contribution, so a large local speedup yields little E2E gain",
+ "One mechanism family keeps being sampled only because budget remains, without re-profiling after the limiting stage moves",
+ "Roofline proximity or a utilization threshold is used as a universal stopping rule",
+ "Screening is allowed to skip the frozen acceptance regimes or required service-level evidence"
+ ],
+ "refusal_point": "Discards a correctness-breaking, worse or inconclusive change instead of integrating it, preserves no-change when candidates cannot be separated, does not count a shortcut outside the authorized semantics as an optimization, and does not let a successful probe qualify a broken final state"
+ },
+ "recommendations": [
+ "Before generating a candidate, consult the casebook, the negative record and the target stage's Amdahl contribution.",
+ "Record every worse or inconclusive result with hypothesis, metric, context, evidence level and failure type, and derive a search constraint from it.",
+ "When about three experiments on one hypothesis return inconclusive from measurement variance, fix the protocol or move to a different hypothesis.",
+ "Before reporting, restore and verify the best fully valid incumbent through its canonical launcher."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
diff --git a/src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json b/src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json
index 7cf649339..eafcb232c 100644
--- a/src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json
@@ -7,6 +7,27 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Proposing training activation and gradient memory reductions when pressure appears to come from live tensors or allocator-reserved memory, by distinguishing lifetime reordering, address packing and selective rematerialization; covers activation checkpointing for recomputation, not persistent recovery checkpoints",
+ "prerequisites": "The packaged evidence and limits are read before citing paper results; installing or running a solver or framework, modifying allocation or checkpoint policies, reproducing workloads or provisioning hardware needs separate authorization",
+ "input_contract": "The actual forward/backward/update DAG, shapes and precision, tensor sizes and consumer lifetimes; resident versus reserved peak bytes; operator, workspace and temporary-output peaks; batch and accumulation policy; optimizer and collective barriers; representative compute and transfer costs; whether the goal is fit, step time or time to a fixed training objective",
+ "produced_artifact": "A preferred candidate, simpler fallback, resource ledger, critical-path prediction, assumptions, counter-signals and unresolved-evidence list, with source claims kept apart from proposed decisions, plus a proposed matched comparison; a reviewable proposal, not an implementation",
+ "failure_modes": [
+ "Fragmentation and live-byte excess are not distinguished at the same phase",
+ "OLLA address packing is read as tensor placement across CPU/SSD tiers",
+ "Reordering moves a release or update past a dependency such as shared weights, accumulation, gradient clipping, optimizer state or collectives",
+ "A static packing plan ignores alignment, aliasing, workspace, asynchronous overlap or shape variability",
+ "Added recomputation consumes the compute window that previously hid transfers",
+ "Checkmate's rounding is taken to guarantee the memory cap, or its 10% allowance is used as a portable safety margin",
+ "A solver timeout is read as proof of infeasibility"
+ ],
+ "refusal_point": "Returns the missing classification instead of a preferred checkpoint interval when only total OOM memory is known, and escalates when a legal dependency graph, memory margin or correctness model is unavailable"
+ },
+ "recommendations": [
+ "Where ordering is legal, try earlier last-use and gradient release before adding computation or transfer.",
+ "Check dependency validity and memory feasibility separately for an approximate schedule.",
+ "Account for planning cost over the expected number of repeated steps."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
diff --git a/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json b/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json
index b6b899a91..2363a96d2 100644
--- a/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json
@@ -13,6 +13,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Design choices for evolving agent skills from execution traces, drawn from Trace2Skill and SkillOpt: when a trajectory should update a skill, how conflicting lessons are handled, how negative evidence is preserved, how large an edit should be and when skills split or merge; for designing or operating a skill evolution pipeline",
+ "prerequisites": "A final-test partition kept outside edit selection and the incumbent skill retained for rollback; changing a skill's scope first needs explicit review of its identity and consumers",
+ "input_contract": "Execution trajectories or trace IDs with the diagnosed causal failure and the successful behavior an amendment must preserve; the incumbent skill and its revision lineage; held-out evaluation results for candidate edits",
+ "produced_artifact": "A scoped case or amendment proposal, or a consolidated candidate edit, with rejection records and the versioned revision lineage; a candidate for independently evaluated acceptance, not a replacement decision or an efficacy claim",
+ "failure_modes": [
+ "An anecdote, or agreement among analysts, is taken as efficacy",
+ "Consolidation output is treated as a replacement decision instead of a candidate awaiting independent acceptance",
+ "A tie or uncertain result is reported as improvement",
+ "A conflict is resolved by voting for whichever outcome appeared more often in the pool",
+ "A rejection is applied to every future use of an idea instead of the comparison it constrains",
+ "Paper-specific section counts or length budgets are used as universal defaults, or a skill is split on length alone",
+ "A stronger task solver is assumed to be a stronger improver, or replay rankings and private inner scores are read as outer generalization"
+ ],
+ "refusal_point": "Records a conflict that conditioning cannot resolve, where the same context produces different outcomes across runs, as INCONCLUSIVE and flags it for human review instead of choosing a lesson; claims no universal minimum trace count, paper-to-code equivalence or local efficacy"
+ },
+ "recommendations": [
+ "Condition a conflicting lesson on its context (when X, do A; when Y, avoid A) before choosing one side.",
+ "Store each rejection record with its evaluation evidence, outside the deployed task procedure, and give it a retirement condition.",
+ "Bound the target passage and intended behavior before editing, inspect the actual diff and preserve rollback state.",
+ "Prefer an amendment when the existing skill owns the workflow; create a new candidate only for a genuinely distinct capability."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
diff --git a/src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json b/src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json
index d5552e7bb..3a92cc24c 100644
--- a/src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json
@@ -15,6 +15,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Diagnosing training input stalls and choosing bounded queue, shard-cache and cache-ownership changes from DALI, Mosaic Streaming and FFCV, while preserving execution-mode gates, sample ordering and per-host memory budgets and separating remote downloads, local storage reads and host/device transfers",
+ "prerequisites": "The pinned readset and its license constraints are read; reading authorizes no commands, cache manipulation or experiment",
+ "input_contract": "Dataset format, sample-size distribution, workers and ranks per host, ordering/shuffle, local-cache state and executor mode; a per-host memory budget that includes checkpoint staging and runtime offload; timings that separate remote fetch, decompression/decoding, transformation, batch readiness and device transfer",
+ "produced_artifact": "One proposed queue, shard-cache or cache-ownership change with its source-backed rule and boundary, the evidence proposed to confirm it, and a verification contract for a separately authorized comparison; no input-throughput, model-quality or hardware result",
+ "failure_modes": [
+ "Low accelerator utilization is taken to identify which producer stage is late",
+ "Missing legacy DALI statistics are read as zero use, or the execution mode is switched silently to obtain them, which changes the comparison",
+ "DALI run() returning is read as output-ready timing instead of the outputs() synchronization boundary",
+ "Mosaic predownload is treated as a byte cap or request count, or per-worker sample targets are multiplied into an exact network-byte prediction",
+ "Look-ahead is increased when the local cache cannot retain the working set, so evicted shards are downloaded again",
+ "cache_limit is read as a bound on total process RAM, or the constructor minimum as an optimum or a guarantee against thrashing",
+ "An FFCV memory map is taken as proof that its pages are resident"
+ ],
+ "refusal_point": "Rejects changes that violate sample coverage or the stated reproducibility contract even if batches arrive faster, does not report queue depth alone as a performance result, and draws no NPU acceleration claim from the CUDA-oriented DALI source"
+ },
+ "recommendations": [
+ "Record dataset format, sample sizes, workers per host, ordering, cache state and executor mode before proposing one change.",
+ "Increase Mosaic look-ahead only when readiness starvation is observed and cache headroom exists; otherwise address shard and working-set residency first.",
+ "Check the exact DALI configuration surface before use, because the constructor and deserialization paths use different queue keys.",
+ "In a later comparison, separate warm-cache throughput from cold retrieval and initialization, and report step time with input wait, host/HBM peaks and actual I/O."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
diff --git a/src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json b/src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json
index 0eba51a01..ec7a424d5 100644
--- a/src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json
@@ -15,6 +15,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Choosing training offload and resource-budget changes from pinned DeepSpeed configuration, attributed expert diagnosis and a historical MindSpeed case, balancing accelerator capacity, CPU work, pinned RAM and local storage while keeping host/device transfer exposure distinct from collective network bottlenecks",
+ "prerequisites": "The source boundaries are read; garbage-collection or affinity changes, privileged memlock changes and delayed parameter updates each need separate approval, and the skill authorizes no newest-wheel installation, scheduler-priority change, benchmark or failure injection",
+ "input_contract": "State attributed to parameters, optimizer state, gradients or activations with its current memory tier, lifetime and next consumer; whether the failure is allocation capacity or throughput; a per-host budget for input buffers, checkpoint snapshots, offloaded state, OS cache and CPU workers with the actual ranks sharing the host; the host/device link recorded apart from collective traffic; the exact source version and enabled execution mode",
+ "produced_artifact": "A candidate decision record per proposal: the observed limiting interval and owning state or resource, source version and execution mode, capacity released and resources consumed with units and uncertainty, overlap readiness and mutation boundaries with expected contention, and the fixed-workload step and correctness evidence required for later validation",
+ "failure_modes": [
+ "A change that lets the model fit is presented as a speedup, although it can slow each step",
+ "A tensor copied to CPU is taken as an InfiniBand/RoCE bottleneck, or CPU/NVMe offload is counted as network evidence",
+ "Parameter max_in_cpu is read as a byte or total-host-memory cap instead of an element count",
+ "NVMe optimizer placement is assumed to remove CPU optimizer demand",
+ "The parameter buffer-pool count is transplanted to the optimizer, or all optimizers are assumed to hold identical states",
+ "Configuration presence or schema documentation is taken as evidence that a knob or overlap actually ran",
+ "Ordinary overlap is taken as permission for delayed, stale parameter updates"
+ ],
+ "refusal_point": "Claims no hardware validation, measured gain or current NPU compatibility, keeps source support and extracted coverage separate from measured improvement, and does not reuse the MindSpeed headline gain or treat that historical case as an implementation recipe or proof of current Ascend support"
+ },
+ "recommendations": [
+ "Attribute the state and separate a capacity failure from a throughput bottleneck before choosing an offload surface.",
+ "Verify the consumer of buffer_size before calculating bytes or tuning it, and measure the executing path before claiming a knob ran.",
+ "Compare the whole step's critical path, not host capacity alone.",
+ "Use plan-activation-residency, choose-parallel-training-plan and assess-split-backward-schedule for live-range, parallel-plan and backward-ordering questions."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
From 206d2888ed945aaf6ecd04168112dccbd8ec20df Mon Sep 17 00:00:00 2001
From: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Date: Fri, 30 Oct 2026 22:09:29 +0800
Subject: [PATCH 2/8] docs: complete methods applicability metadata and refresh
projections
Add applicability and recommendations for kernel-writing-guide and
weight-loading-optimization, completing the selected seventeen methods.
Keep hardware dependencies separate from tuning advice and express kernel
prerequisites as conditions. Document the field meanings in knowledge-base.
Regenerate the skill index and coverage from the committed sources.
Preserve verification, status, empirical validation and source provenance;
descriptive metadata does not establish execution or efficacy.
Agent-assisted-by: Claude Code / claude-opus-5-5 [effort=xhigh] (weight-loading metadata and field documentation; inherited attribution)
Agent-assisted-by: Claude Code / gpt-6-astra [effort=xhigh] (kernel-writing metadata; inherited attribution)
Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (metadata refinement, generated projections and finalization)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
---
docs/knowledge-base.md | 30 ++++++++
docs/skill-coverage.md | 8 +--
.../repo_packs/inferrsi/knowledge/README.md | 4 +-
.../ascend-aclgraph-capture-replay.json | 4 +-
.../ascend/skills/ascend-device-health.json | 4 +-
.../skills/ascend-distributed-parallel.json | 4 +-
.../ascend/skills/ascend-graph-mode.json | 4 +-
.../skills/ascend-model-adaptation.json | 4 +-
.../skills/ascend-operator-profiling.json | 4 +-
.../ascend/skills/ascend-operator-tuning.json | 4 +-
.../skills/ascend-optimization-casebook.json | 4 +-
.../skills/ascend-performance-analysis.json | 4 +-
.../ascend-video-diffusion-optimization.json | 4 +-
.../ascend/skills/ascendc-tiling-design.json | 4 +-
.../skills/cann-attribution-overlap.json | 4 +-
.../torchnpu-device-memory-lifecycle.json | 4 +-
...torchnpu-pinned-host-memory-lifecycle.json | 4 +-
.../skills/assess-serving-preemption.json | 4 +-
.../assess-split-backward-schedule.json | 4 +-
.../skills/audit-fixed-workload-claim.json | 4 +-
.../audit-h3-metal-fasth3-semantics.json | 4 +-
.../skills/audit-h3-runtime-residency.json | 4 +-
.../skills/audit-llama-runtime-state.json | 4 +-
.../audit-recurrent-kv-finalization.json | 4 +-
.../common/skills/audit-sd-cpp-residency.json | 4 +-
.../audit-sglang-diffusion-lifetimes.json | 4 +-
.../skills/audit-vllm-kv-lifetimes.json | 4 +-
.../bound-windowed-attention-replay.json | 4 +-
.../budget-speculative-verification.json | 4 +-
.../skills/calibrate-serving-simulation.json | 4 +-
.../skills/cgroup-resource-controls.json | 4 +-
.../checkpoint-recovery-consistency.json | 4 +-
.../skills/choose-parallel-training-plan.json | 4 +-
.../skills/cite-check-downstream-pr.json | 4 +-
.../common/skills/claim-contract.json | 4 +-
.../knowledge/common/skills/comfy-ui.json | 4 +-
.../common/skills/competitor-scan.json | 4 +-
.../skills/dcp-async-save-performance.json | 4 +-
.../skills/dense-performance-evidence.json | 4 +-
.../diagnose-vllm-admission-pressure.json | 4 +-
.../skills/diffusers-invocation-state.json | 4 +-
.../common/skills/draft-acceptance-issue.json | 4 +-
.../knowledge/common/skills/dwarfstar.json | 4 +-
.../evaluate-elastic-serving-placement.json | 4 +-
.../skills/generation-cache-lifecycle.json | 4 +-
.../common/skills/host-memory-management.json | 4 +-
.../skills/host-overhead-optimization.json | 4 +-
.../knowledge/common/skills/husky.json | 4 +-
.../skills/inference-benchmark-design.json | 4 +-
.../inference-optimization-casebook.json | 4 +-
.../common/skills/kernel-writing-guide.json | 69 +++++++++++++++++--
.../common/skills/kv-tier-management.json | 4 +-
.../lazy-evaluation-stream-lifetimes.json | 4 +-
.../knowledge/common/skills/lily.json | 4 +-
.../knowledge/common/skills/lithos-metal.json | 4 +-
.../knowledge/common/skills/local-dream.json | 4 +-
.../knowledge/common/skills/mistral-rs.json | 4 +-
.../knowledge/common/skills/mlc-llm.json | 4 +-
.../knowledge/common/skills/mlx-swift-lm.json | 4 +-
.../common/skills/npu-skill-factory.json | 4 +-
.../skills/optimization-search-policy.json | 4 +-
.../common/skills/os-process-placement.json | 4 +-
.../skills/performance-ceiling-analysis.json | 4 +-
.../skills/plan-activation-residency.json | 4 +-
.../knowledge/common/skills/project-maya.json | 4 +-
.../skills/repository-evolution-analysis.json | 4 +-
.../knowledge/common/skills/rsi-evidence.json | 4 +-
.../skills/skill-evolution-playbook.json | 4 +-
.../knowledge/common/skills/splash.json | 4 +-
.../common/skills/storage-io-measurement.json | 4 +-
.../skills/training-input-pipeline.json | 4 +-
.../skills/training-resource-budget.json | 4 +-
.../skills/video-diffusion-optimization.json | 4 +-
.../knowledge/common/skills/vllm-metal.json | 4 +-
.../skills/weight-loading-optimization.json | 59 ++++++++++++++--
.../cuda/skills/audit-afd-p2p-exchanges.json | 4 +-
.../skills/audit-flare-session-lifecycle.json | 4 +-
.../diagnose-attention-bottlenecks.json | 4 +-
.../cuda/skills/host-overhead-profiling.json | 4 +-
.../cuda/skills/reason-hopper-kernels.json | 4 +-
.../kernel-writing-guide/metadata.json | 31 +++++++++
.../weight-loading-optimization/metadata.json | 26 +++++++
82 files changed, 359 insertions(+), 168 deletions(-)
diff --git a/docs/knowledge-base.md b/docs/knowledge-base.md
index 837652f24..d0b3eee6a 100644
--- a/docs/knowledge-base.md
+++ b/docs/knowledge-base.md
@@ -83,6 +83,36 @@ is not promoted by import, translation, a passing reader test or matrix placemen
External/internal origin and Skill/Knowledge/Case kind are attributes; contribution,
dependency and peer remain independent repository relationships.
+### Applicability keys and recommendations
+
+Sidecar `applicability` keys follow the contract settled in
+[issue #91](https://github.com/InferMatrixLab/InferRSI/issues/91#issuecomment-6512087181).
+
+| Key | States | Must not |
+|---|---|---|
+| `scope` | What the procedure applies to | Become a capability or efficacy claim |
+| `prerequisites` | What must hold first: access, tooling, authorization | Restate the input contract |
+| `input_contract` | What the caller supplies | Enumerate the procedure's own steps |
+| `produced_artifact` | What it emits, at the body's evidence level | Upgrade a proposal into a validated configuration or measured result |
+| `failure_modes` | How the procedure yields a wrong or unusable result | Restate `limitations` |
+| `refusal_point` | Where the body says it withholds a conclusion | Invent a refusal the body does not state |
+| `hardware` | A device dependency the body establishes | Be inferred from a source's hardware |
+
+`recommendations` holds owner-supplied procedure advice. `tools/build_skill_index.py`
+copies a declared list unchanged. A declared empty list states that the procedure
+has no specific advice and does not fall back; only an absent field produces the
+generic navigation defaults.
+
+`limitations` is not owner-only. The generator emits four sentences of its own and
+then appends the sidecar's `limitations` entries. `failure_modes` is therefore a
+separate field rather than more `limitations` entries.
+
+No mechanical allowlist restricts `applicability` keys. The packaged library uses
+nine distinct keys: the seven above plus `architectures` and `excluded_mechanisms`,
+which appear only in `hardware/cuda/reason-hopper-kernels`. A closed key set would
+reject that sidecar or have to grandfather it. Revisiting this is proposed for
+batch 4 of issue #91 and is not agreed.
+
## Sources and revisions
| Type | Identity and scope | Not interchangeable with |
diff --git a/docs/skill-coverage.md b/docs/skill-coverage.md
index a69429149..5bb6e0a5b 100644
--- a/docs/skill-coverage.md
+++ b/docs/skill-coverage.md
@@ -4,7 +4,7 @@ Generated from the registry, the skill sidecars and the two maintained
matrices. **Do not edit by hand**; regenerate after any registry, skill,
matrix or frozen-plan change.
-- Input digest: `sha256:aba87c07dff9a646662d0c9d13653bac06450dd1cae4c56216b983e2645345e3`
+- Input digest: `sha256:f83acd212055884d2f8944ded9eea927ca6efd66ff18bfd9583809ea3e4ade45`
- Regenerate: `python tools/build_skill_coverage.py`
- Verify without writing: `python tools/build_skill_coverage.py --check`
@@ -128,7 +128,7 @@ optimization is fully covered or that any procedure has measured benefit.
| [evaluate-elastic-serving-placement](../src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md) | common | Compare migrating an LLM request between model replicas with changing its sequence-parallel execution group, including ... | Comparing migration of a running LLM request between compatible model replicas with ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify
2 RAM/Host · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Llumnix — [2406.03243v1](https://arxiv.org/abs/2406.03243v1)) | candidate · not_run · 1 readset(s) | no-eval |
| [inference-benchmark-design](../src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md) | common | Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents ... | Selecting task quality gates, reference parity checks and performance workloads for text ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | — | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
Task-specific benchmark selection (issue #60) ([Issue #60 report](https://github.com/InferMatrixLab/InferRSI/issues/6 ...) | candidate · not_run · 2 readset(s) | no-SearchSpace-layer |
| [inference-optimization-casebook](../src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md) | common | How to structure and use a casebook of past optimization decisions as a decision-support tool. Extracts the casebook ... | Structuring and querying a casebook of past optimization decisions as decision support ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-eval |
-| [kernel-writing-guide](../src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md) | common | Decision guide for writing custom inference kernels: when to write one, which framework to choose (Triton, CuTe DSL ... | **unknown** | — | 1 Accelerator · Optimize / Diagnose / Configure / Verify | 1 · Systems sources (Dao-AILab/causal-conv1d @ `cd81f0413cad2fc1e6f17e785ac39f59aae690cd` ...)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (huggingface/transformers @ `0dad7b822255a0ae261ec45ae937371e859ffd1a` ...)
1 · Systems sources (mindspore-ai/akg @ `5aa15f3fe4d856eb60cd3b27447e04f5f1fb4dff` ...)
1 · Systems sources (sgl-project/sglang @ `16176278d0180f1a1a578e53e6eef432577876c2` ...)
1 · Systems sources (vllm-project/vllm @ `537a79f0fc5ba564d2bef43d54915b2f80f9f77d` (root ...) | candidate · not_run · 7 readset(s) | no-applicability, no-eval |
+| [kernel-writing-guide](../src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md) | common | Decision guide for writing custom inference kernels: when to write one, which framework to choose (Triton, CuTe DSL ... | Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton ... | failure_modes, input_contract, produced_artifact, refusal_point
6 advice | 1 Accelerator · Optimize / Diagnose / Configure / Verify | 1 · Systems sources (Dao-AILab/causal-conv1d @ `cd81f0413cad2fc1e6f17e785ac39f59aae690cd` ...)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (huggingface/transformers @ `0dad7b822255a0ae261ec45ae937371e859ffd1a` ...)
1 · Systems sources (mindspore-ai/akg @ `5aa15f3fe4d856eb60cd3b27447e04f5f1fb4dff` ...)
1 · Systems sources (sgl-project/sglang @ `16176278d0180f1a1a578e53e6eef432577876c2` ...)
1 · Systems sources (vllm-project/vllm @ `537a79f0fc5ba564d2bef43d54915b2f80f9f77d` (root ...) | candidate · not_run · 7 readset(s) | no-eval |
| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | Selecting, ordering and stopping optimization experiments: candidate generation ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 6 readset(s) | no-eval |
| [performance-ceiling-analysis](../src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md) | common | Estimate optimization headroom before modifying an inference system. Produces a three-level ceiling model (analytical ... | inference serving systems (LLM, diffusion, audio) | — | 1 Accelerator · Diagnose / Verify
5 OS · Configure | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ebugger/Empirical-Roofline-Toolkit @ 0771fa9)
1 · Systems sources (hahnyuan/LLM-Viewer @ 1893e4b) | candidate · not_run · 16 readset(s) | no-eval |
| [plan-activation-residency](../src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md) | common | Propose training activation and gradient memory reductions by distinguishing lifetime reordering, address packing and ... | Proposing training activation and gradient memory reductions when pressure appears to ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Optimize / Verify | 1 · Systems sources (Checkmate — [1910.02653v3](https://arxiv.org/abs/1910.02653v3)) | candidate · not_run · 1 readset(s) | no-eval |
@@ -137,7 +137,7 @@ optimization is fully covered or that any procedure has measured benefit.
| [training-input-pipeline](../src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md) | common | Diagnose training input stalls and choose bounded queue, shard-cache and cache-ownership changes from DALI, Mosaic ... | Diagnosing training input stalls and choosing bounded queue, shard-cache and ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Observe / Configure / Optimize
2 RAM/Host · Observe / Diagnose / Configure / Optimize
3 SSD · Diagnose / Configure / Optimize
4 Network · Configure / Optimize
5 OS · Configure / Optimize | 1 · Systems sources (B1 / NVIDIA DALI @ `6fe47c48d3b0ca335f5e1afd3c77c750b2c7e041` ...)
1 · Systems sources (B2 / Mosaic Streaming @ `d99bf9c7cdf2dd4ed62a4960ed35270b93337a5f` ...)
1 · Systems sources (B3 / FFCV @ `3a12966b3afe3a81733a732e633317d747bfaac7` ...) | candidate · not_run · 1 readset(s) | no-eval |
| [training-resource-budget](../src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md) | common | Choose training offload and resource-budget changes using pinned DeepSpeed configuration, attributed expert diagnosis ... | Choosing training offload and resource-budget changes from pinned DeepSpeed ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Diagnose / Configure / Optimize
2 RAM/Host · Observe / Diagnose / Configure / Optimize / Verify
3 SSD · Configure / Optimize
4 Network · Observe / Diagnose / Verify
5 OS · Diagnose / Configure | 1 · Systems sources (CR1 / DeepSpeed ZeRO-Infinity @ `5f266e26d216a705d9c64cac88fb813ce ...)
1 · Systems sources (CR5 / Ascend MindSpeed adaptive memory — `core_r0.8.0`, page ...)
1 · Systems sources (ZeRO-Offload — [2101.06840v1](https://arxiv.org/abs/2101.06840v1))
2 · Methodology and corpus references (CR6 / Stas Bekman ML Engineering Open Book @ ...) | candidate · not_run · 8 readset(s) | no-eval |
| [video-diffusion-optimization](../src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md) | common | Run and verify goal-driven video diffusion optimization, backend-agnostic. Use when the user asks for latency, RTF ... | Backend-agnostic video diffusion inference and serving optimization | — | — | — | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-Reference-Matrix-row, no-eval |
-| [weight-loading-optimization](../src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md) | common | Optimize the serving-level weight load path from storage to device: judge the load path on four dimensions (source ... | **unknown** | — | 1 Accelerator † guidance: Flare preparation and complete-session source contracts
2 RAM/Host † guidance: Flare preparation and complete-session source contracts
3 SSD · Observe / Profile / Diagnose / Optimize / Verify † guidance: Flare preparation and complete-session source contracts
4 Network · Configure / Optimize / Verify | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c)
1 · Systems sources (foundation-model-stack/fastsafetensors @ 219e256)
1 · Systems sources (ggml-org/llama.cpp @ `3e390af18de1131dda27913c00511725b4274c8a` (MIT ...)
1 · Systems sources (mindie-agent/mindie-agent @ 6a81b41) | candidate · not_run · 3 readset(s) | no-applicability, no-eval |
+| [weight-loading-optimization](../src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md) | common | Optimize the serving-level weight load path from storage to device: judge the load path on four dimensions (source ... | Diagnosing the serving-level weight load path from storage to device and choosing changes ... | failure_modes, input_contract, produced_artifact, refusal_point
5 advice | 1 Accelerator † guidance: Flare preparation and complete-session source contracts
2 RAM/Host † guidance: Flare preparation and complete-session source contracts
3 SSD · Observe / Profile / Diagnose / Optimize / Verify † guidance: Flare preparation and complete-session source contracts
4 Network · Configure / Optimize / Verify | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c)
1 · Systems sources (foundation-model-stack/fastsafetensors @ 219e256)
1 · Systems sources (ggml-org/llama.cpp @ `3e390af18de1131dda27913c00511725b4274c8a` (MIT ...)
1 · Systems sources (mindie-agent/mindie-agent @ 6a81b41) | candidate · not_run · 3 readset(s) | no-eval |
## Registered: Workflows (6)
@@ -221,7 +221,7 @@ an entrypoint routes to procedures below it rather than adding one.
| `no-SearchSpace-layer` | 15: ascend-video-diffusion-optimization, audit-fixed-workload-claim, audit-recurrent-kv-finalization, cite-check-downstream-pr, competitor-scan, draft-acceptance-issue, dwarfstar, husky, inference-benchmark-design, lily, npu-skill-factory, repository-evolution-analysis, skill-evolution-playbook, splash, video-diffusion-optimization |
| `no-Reference-Matrix-row` | 8: ascend-video-diffusion-optimization, audit-fixed-workload-claim, cite-check-downstream-pr, claim-contract, competitor-scan, draft-acceptance-issue, rsi-evidence, video-diffusion-optimization |
| `no-sidecar` | 0: — |
-| `no-applicability` | 26: as listed in the Gaps column above |
+| `no-applicability` | 24: as listed in the Gaps column above |
| `no-eval` | 75: as listed in the Gaps column above |
These are inventory gaps, not defects. A workflow skill may legitimately
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
index e9feb0209..148cb2b1d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
@@ -15,7 +15,7 @@ These are knowledge abstracts (`--kind knowledge`), with namespaced package
IDs distinct from explicitly selected `checkout_ref` skills. Ascend/CUDA
procedures use their corresponding backend; shared methods use `common`.
-Source snapshot: [058fc76b656ea5a29bb4646a5e556e32d35bdbc9](https://github.com/InferMatrixLab/InferRSI/tree/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library).
+Source snapshot: [66e6392e91b0b595d8ef34b767d6d0873d006586](https://github.com/InferMatrixLab/InferRSI/tree/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library).
```bash
inferrsi knowledge search 'profiling' --repo-type inferrsi --limit 50
@@ -29,7 +29,7 @@ contain the current input paths and bytes (Git checkout filters are respected).
```bash
python tools/build_skill_index.py --source-revision
-python tools/build_skill_index.py --source-revision 058fc76b656ea5a29bb4646a5e556e32d35bdbc9 --check
+python tools/build_skill_index.py --source-revision 66e6392e91b0b595d8ef34b767d6d0873d006586 --check
```
`--check` detects missing, stale and unexpected generated records without writing.
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
index 0a5f5ecca..fff3c559e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
index b7026523e..0568a0dbd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
index 8be530e99..3463435e9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
index 599a678be..6e42bbb14 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
index 9cb33f0ea..313b09a08 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
index 1e0dd4791..5e3bee605 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
index 977ec9ca1..fcd50ab8e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
index 7fa6acf23..44b170cae 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
index c21d56d3f..132bc317b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
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- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
index 46aec47e6..224604d25 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
index dbb22c5f7..8d93be4bb 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
index c7bda43b5..9fc250af3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
@@ -24,8 +24,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
index 4a569a46a..ccac56ff7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
index 15fdc7615..979505b08 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
index 2d2d91804..01cc7aba0 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
index ba32a60db..086ba1fbc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
index 607924b3f..8d1e30f76 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
@@ -20,8 +20,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
index 7b0fa3e0b..6516811d3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
index 6754846ff..9d5491d60 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
index 5adf8b36f..69628491d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
@@ -23,8 +23,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
index 3462306a4..24ee2464f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
@@ -26,8 +26,8 @@
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- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
index 34a892d4e..60d0bfbe7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
@@ -25,8 +25,8 @@
"sources": [
{
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- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
index 863578242..2ddf81a5b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
@@ -23,8 +23,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/LICENSE",
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
index ecfdaffc1..dd12917f3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
@@ -21,8 +21,8 @@
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{
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- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
index 1f82b3ddf..a3aa9fd34 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
@@ -23,8 +23,8 @@
"sources": [
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- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
index 85c192917..2887a4528 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
@@ -23,8 +23,8 @@
"sources": [
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- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
index 4a890cc55..fb773abd2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
@@ -16,8 +16,8 @@
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- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
index 2f3c5c510..6d9a85041 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
@@ -25,8 +25,8 @@
"sources": [
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- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
index 4bfc0372b..e5abcd8be 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
@@ -22,8 +22,8 @@
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- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
index 5110118ef..aa1d15c8d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
@@ -16,8 +16,8 @@
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{
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- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
index 2bb385487..6205eac5f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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"src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
index 2aa285425..d9619ea1d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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"src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
index 77926d0a6..7cf2a9171 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
@@ -22,8 +22,8 @@
"sources": [
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- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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"src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
index 3ea762225..a7d2870d4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
@@ -21,8 +21,8 @@
"sources": [
{
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- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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"src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
index 849284100..497f107b7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
@@ -23,8 +23,8 @@
"sources": [
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- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
index c05cf24ac..26afaf4a4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
@@ -21,8 +21,8 @@
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- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
index 3919d5b7b..fbf3e0f5e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
@@ -21,8 +21,8 @@
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
index eca532dd7..d18bd9371 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
index 0677bc9f0..d2315a1e0 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
index 9fcb02f6a..a52e3aeb2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/dwarfstar/LICENSE",
"src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
index ca2fa6c51..e48abf78d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
index 12c9fd116..916a2e853 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
index 14402d04f..d454d612f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
index f60ebd4ba..17a814d3b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
index 8d470c697..ecc9e320c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
"src/inferrsi/data/skill_library/repositories/husky/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
index bfae49c07..7d46b9286 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
index f8f0b22e7..a0319be0b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/admission-drain-occupancy.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
index a3a4dbe05..7ff9236e8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
@@ -39,8 +39,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/causal-conv1d-dispatch-state.md",
@@ -79,7 +79,7 @@
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/vllm-gdn-causal-conv-contract.md": "2f3dcee66e2dfe7a98bee21a36b892538998de5de3caf1bc63257137f9984236",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/vllm-gdn-source-contract.json": "73f1a2d8fa89ce05aead2091a05a285b13cbdc314d05452c35c6a2ad15ffeff7",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/vllm-gdn-source-contract.md": "7f9ebe8de7e55d3db2a119b6a56e15c37448fd7d4e022a47122a143206d31687",
- "src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json": "c86f93f4eacde789e5438327d85b1de0bfe623fb87acad49306e47b7e8ef1261",
+ "src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json": "b1b729dcfcdd28835f9cefd98aa6f54da7642e056888f643b890f6ca2894bb99",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/akg-affine-tail-guards.md": "113deb2db10b171db3425bb3f1792bee763706b794c8cc2e222b4cc0d0114118",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/causal-conv1d-contract.md": "b3a6245cf5e9deeba0dffd4a15ddcf97da6a4315f4d3131921779438832663ad",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/hf-qwen35-gdn-binding.md": "848d3c99b47ef711e8820bbc4f6bcbd1db7211197811c9d855201025448d806b",
@@ -251,6 +251,37 @@
}
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton, CuTe DSL, CUDA C++, AscendC or TileIR, applying framework-independent correctness rules, and verifying the executing kernel against a reference before benchmarking; covers fused elementwise chains, reductions, tiled GEMM, attention variants, custom collectives, causal convolution and stateful serving-operator qualification",
+ "prerequisites": "The applicable operator, caller/state and layout contracts are read before substitution, including the causal-conv1d contract and HF Qwen3.5 GDN binding; the CuTe DSL environment uses Linux x86_64, Python 3.10–3.13 and Ampere+ (SM80+) with nvidia-cutlass-dsl installed and no NPU target; the CANN programming guide for the specific SoC is consulted for AscendC",
+ "input_contract": "The candidate operation or operation chain, its shapes, dtypes, quantization and layout requirements, and the target execution phase; the target accelerator and framework constraints; for serving operators, the concrete caller, effective phase and backend, state-row mapping, cache or buffer lifetime and in-place-write behavior; a reference implementation with the same signature, a callable kernel wrapper and fresh CUDA or NPU test tensors; verification shapes and dtypes plus profiler output for the target metric",
+ "produced_artifact": "A write-or-decline decision for the candidate operation with the profiled bottleneck or fusable pair that justifies it, a framework choice routed by pattern and accelerator, a correctness checklist covering fp32 transcendental round-trips, sync-free wrappers, C division semantics, pre-allocated outputs, fp32 matmul accumulators and masked boundary loads and stores, a starting block or tile size with its autotune and warmup cost noted, a kernel shipping kernel_fn, reference_fn and get_inputs, a reference-parity result across the verification shapes and dtypes, and a post-verification profiler reading on the target metric; for an existing causal-convolution or stateful serving operator, a qualification record naming the caller, phase, backend, state rows and in-place writes, with source selection kept apart from executed dispatch; a routing and correctness decision, not a complete implementation or a measured speedup",
+ "failure_modes": [
+ "A kernel is written for a standalone elementwise op, a standalone matmul or standard attention where the vendor library already wins",
+ "Host-side scheduling cost is treated as a kernel problem instead of being routed to host-overhead-profiling",
+ "Fusion is justified by removed Python call overhead rather than by the DRAM traffic the shared data no longer makes",
+ "A transcendental runs on fp16/bf16 inputs without the fp32 cast round-trip, so the error stays silent through benchmarking",
+ "tl.dot accumulates in the input dtype because Triton is assumed to promote fp16/bf16 to fp32 automatically",
+ "Negative offsets are computed assuming Python floor division while Triton or AscendC rounds toward zero",
+ "An unmasked load or store is accepted because the benchmark shapes happen to divide the block size",
+ "A kernel is benchmarked before it matches its reference, or a shape-boundary, accumulator-dtype or precision failure is read as a tuning problem",
+ "A verification pass is reported as a win although the profiler metric did not move, so the kernel was never on the critical path",
+ "Autotune compile cost is measured as steady-state serving latency instead of being pre-warmed or cached",
+ "A CuTe DSL pattern is routed to an NPU target, or a CUDA tail-guard, attention primitive or SM-matched example is assumed to carry to Ascend",
+ "A causal-conv1d or GDN operator is substituted on build success, import success or matching names without resolving dtype, strides, packed boundaries, state rows and cursors",
+ "An in-tree vLLM wrapper, a GDN prefill flag or a cache-free classification adapter is read as establishing the executed convolution path or generation-state support"
+ ],
+ "refusal_point": "Declines to start a kernel until a profiler puts the target on the critical path near its hardware ceiling or names a concrete fusable pair, and sends host-bound cases elsewhere; refuses to benchmark an unverified kernel and withholds a gain whose profiler metric did not move; keeps operator source selection separate from executed dispatch, numerical parity and hardware qualification, so build or import success qualifies nothing; treats AscendC and TileIR content as source-inferred pending CANN and SoC verification with no local NPU run, treats the AKG Affine FileCheck expectations as IR structure rather than executed CUDA correctness, and reads author-reported overlap and FP8 cases as counterexamples to unconditional tuning rules; claims no Ascend support from NVIDIA primitives",
+ "hardware": "CUDA Ampere+ and Ascend NPU have separate framework routes for each kernel pattern; CuTe DSL requires Linux x86_64, Python 3.10-3.13 and SM80+ with nvidia-cutlass-dsl and is unavailable on NPU; profiling uses ncu on CUDA and msprof on Ascend; the AscendC and TileIR guidance is source-inferred with no local NPU verification and requires validation against the specific CANN version and SoC"
+ },
+ "recommendations": [
+ "Confirm with nsys/ncu or msprof that the target kernel sits on the critical path near its hardware ceiling, or name the adjacent operations whose shared data would otherwise round-trip through DRAM, before writing any kernel.",
+ "Ship every kernel with kernel_fn, reference_fn and get_inputs, pass reference parity across the verification shapes and dtypes first, and profile afterwards to confirm the target metric actually moved.",
+ "Cast fp16/bf16 to fp32 and back for any math beyond +, -, * and /, declare tl.dot accumulators as tl.float32, and mask every load and store whose shape does not divide the block size.",
+ "Start Triton at BLOCK_SIZE 1024 on Hopper and 512 on Ampere using powers of two, take GEMM tiles from the source skeleton configs (128/256/64 for Hopper, 64/128/32 for smaller cards) and autotune from there.",
+ "On Ascend, reach for TileIR before raw AscendC, size tiles to fit the AI Core Unified Buffer and check cube-unit alignment against the CANN guide for the specific SoC.",
+ "Match a CuTe DSL example to the GPU architecture (SM80 Ampere, SM90 Hopper, SM100 Blackwell) and study its structure instead of copying it, and pre-warm or cache autotuned kernels at startup so first-run compile cost stays out of serving latency."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets.",
@@ -270,10 +301,36 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton, CuTe DSL, CUDA C++, AscendC or TileIR, applying framework-independent correctness rules, and verifying the executing kernel against a reference before benchmarking; covers fused elementwise chains, reductions, tiled GEMM, attention variants, custom collectives, causal convolution and stateful serving-operator qualification",
+ "prerequisites": "The applicable operator, caller/state and layout contracts are read before substitution, including the causal-conv1d contract and HF Qwen3.5 GDN binding; the CuTe DSL environment uses Linux x86_64, Python 3.10–3.13 and Ampere+ (SM80+) with nvidia-cutlass-dsl installed and no NPU target; the CANN programming guide for the specific SoC is consulted for AscendC",
+ "input_contract": "The candidate operation or operation chain, its shapes, dtypes, quantization and layout requirements, and the target execution phase; the target accelerator and framework constraints; for serving operators, the concrete caller, effective phase and backend, state-row mapping, cache or buffer lifetime and in-place-write behavior; a reference implementation with the same signature, a callable kernel wrapper and fresh CUDA or NPU test tensors; verification shapes and dtypes plus profiler output for the target metric",
+ "produced_artifact": "A write-or-decline decision for the candidate operation with the profiled bottleneck or fusable pair that justifies it, a framework choice routed by pattern and accelerator, a correctness checklist covering fp32 transcendental round-trips, sync-free wrappers, C division semantics, pre-allocated outputs, fp32 matmul accumulators and masked boundary loads and stores, a starting block or tile size with its autotune and warmup cost noted, a kernel shipping kernel_fn, reference_fn and get_inputs, a reference-parity result across the verification shapes and dtypes, and a post-verification profiler reading on the target metric; for an existing causal-convolution or stateful serving operator, a qualification record naming the caller, phase, backend, state rows and in-place writes, with source selection kept apart from executed dispatch; a routing and correctness decision, not a complete implementation or a measured speedup",
+ "failure_modes": [
+ "A kernel is written for a standalone elementwise op, a standalone matmul or standard attention where the vendor library already wins",
+ "Host-side scheduling cost is treated as a kernel problem instead of being routed to host-overhead-profiling",
+ "Fusion is justified by removed Python call overhead rather than by the DRAM traffic the shared data no longer makes",
+ "A transcendental runs on fp16/bf16 inputs without the fp32 cast round-trip, so the error stays silent through benchmarking",
+ "tl.dot accumulates in the input dtype because Triton is assumed to promote fp16/bf16 to fp32 automatically",
+ "Negative offsets are computed assuming Python floor division while Triton or AscendC rounds toward zero",
+ "An unmasked load or store is accepted because the benchmark shapes happen to divide the block size",
+ "A kernel is benchmarked before it matches its reference, or a shape-boundary, accumulator-dtype or precision failure is read as a tuning problem",
+ "A verification pass is reported as a win although the profiler metric did not move, so the kernel was never on the critical path",
+ "Autotune compile cost is measured as steady-state serving latency instead of being pre-warmed or cached",
+ "A CuTe DSL pattern is routed to an NPU target, or a CUDA tail-guard, attention primitive or SM-matched example is assumed to carry to Ascend",
+ "A causal-conv1d or GDN operator is substituted on build success, import success or matching names without resolving dtype, strides, packed boundaries, state rows and cursors",
+ "An in-tree vLLM wrapper, a GDN prefill flag or a cache-free classification adapter is read as establishing the executed convolution path or generation-state support"
+ ],
+ "refusal_point": "Declines to start a kernel until a profiler puts the target on the critical path near its hardware ceiling or names a concrete fusable pair, and sends host-bound cases elsewhere; refuses to benchmark an unverified kernel and withholds a gain whose profiler metric did not move; keeps operator source selection separate from executed dispatch, numerical parity and hardware qualification, so build or import success qualifies nothing; treats AscendC and TileIR content as source-inferred pending CANN and SoC verification with no local NPU run, treats the AKG Affine FileCheck expectations as IR structure rather than executed CUDA correctness, and reads author-reported overlap and FP8 cases as counterexamples to unconditional tuning rules; claims no Ascend support from NVIDIA primitives",
+ "hardware": "CUDA Ampere+ and Ascend NPU have separate framework routes for each kernel pattern; CuTe DSL requires Linux x86_64, Python 3.10-3.13 and SM80+ with nvidia-cutlass-dsl and is unavailable on NPU; profiling uses ncu on CUDA and msprof on Ascend; the AscendC and TileIR guidance is source-inferred with no local NPU verification and requires validation against the specific CANN version and SoC"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Confirm with nsys/ncu or msprof that the target kernel sits on the critical path near its hardware ceiling, or name the adjacent operations whose shared data would otherwise round-trip through DRAM, before writing any kernel.",
+ "Ship every kernel with kernel_fn, reference_fn and get_inputs, pass reference parity across the verification shapes and dtypes first, and profile afterwards to confirm the target metric actually moved.",
+ "Cast fp16/bf16 to fp32 and back for any math beyond +, -, * and /, declare tl.dot accumulators as tl.float32, and mask every load and store whose shape does not divide the block size.",
+ "Start Triton at BLOCK_SIZE 1024 on Hopper and 512 on Ampere using powers of two, take GEMM tiles from the source skeleton configs (128/256/64 for Hopper, 64/128/32 for smaller cards) and autotune from there.",
+ "On Ascend, reach for TileIR before raw AscendC, size tiles to fit the AI Core Unified Buffer and check cube-unit alignment against the CANN guide for the specific SoC.",
+ "Match a CuTe DSL example to the GPU architecture (SM80 Ampere, SM90 Hopper, SM100 Blackwell) and study its structure instead of copying it, and pre-warm or cache autotuned kernels at startup so first-run compile cost stays out of serving latency."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
index 0c973287d..e2c23f109 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
index 29ce4888f..f0e32fd8b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
index d06b9c02a..47147adc5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/lily/LICENSE",
"src/inferrsi/data/skill_library/repositories/lily/NOTICE.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
index fa881a44d..538ae4c82 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/lithos-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
index 90be34729..f42d85628 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
"src/inferrsi/data/skill_library/repositories/local-dream/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
index a34225fed..075fe87bb 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/mistral-rs/LICENSE",
"src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
index 3f13df05a..59b890c9a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlc-llm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
index 64f16854a..a24e6859a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
index b6de1e49f..cd8427d14 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
index c4583c0ef..dbf6b06c5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
index d52d43715..866f750a8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
index a12d0d89e..1b533cfc4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
index 836e55ae0..447c906cf 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
index db8b509d2..b7818c15d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/project-maya/LICENSE",
"src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
index 898d10611..fe4715bdf 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
index 71ed014cf..00bf5f2e7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
index 672570eff..cea714ddd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
index dbfcf6e8c..1ad6cf756 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/splash/LICENSE",
"src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
index 18ed4e8f4..0c5e62938 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
index b92fd7186..76c8d11f6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
index 4e487ff6d..34c8248d3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
index 7e3de3176..dc06df0ff 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/assets/campaign.template.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
index 7b8ff0124..ebb391826 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
index 05f3af346..a71ce5c03 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json",
@@ -49,7 +49,7 @@
"checkout_ref": "checkout:weight-loading-optimization",
"source_files": {
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md": "a1bf0e2ec066d5f30225c6cc5fb603f830f48eb5e2aee3fc3d084ed9d8aebe2f",
- "src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json": "6df47ea943e42a11807c54869774957ac2383266120caad730f788207403581c",
+ "src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json": "ebcc5425d7b6409e5c509122e9dc76bed1caab09d73daf013d96086d7faaba2b",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/references/fastsafetensors-transfer-readset.md": "5a39f14b102b0cee304541e011aa31e44e6b13527d1bee9987c3f3b66c064d3d",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/references/flare-preparation-boundary.md": "1d7922785a196bdbafdc9791fe79428465a5acc0292ca8f99446f8c764b35454",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/references/llama-loading-readset.md": "6c640f28ee3f0253a17b81461c865cb9f947367002cb75bf72550c4572d02e97",
@@ -136,6 +136,32 @@
}
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Diagnosing the serving-level weight load path from storage to device and choosing changes to it when startup or loading latency dominates: locating the cost by source, format, placement and duplication, accounting once-per-process loading and warmup apart from per-request cost, verifying sharded downloads, restricting device-side prefetch to profiled memory-bound hot spots and ordering CPU-tier offload; also covers source-scoped disk-loading modes, pinned staging, synchronous checkpoint save semantics, fastsafetensors broadcast/scatter/coalesced delivery and the separation of model preparation from serving. Request-time host overhead belongs to host-overhead-profiling, DCP asynchronous save performance to dcp-async-save-performance and distributed recovery validity to checkpoint-recovery-consistency",
+ "prerequisites": "Flag names and API entry paths are re-verified against the pinned source revisions, and torch_npu.npu_prefetch details against the target CANN version, before they are relied on; card state is checked before launch and process placement fixed before measuring, through ascend-device-health and os-process-placement; the Diffusers enable_model_cpu_offload path requires accelerate",
+ "input_contract": "The current load path's byte source, file format, host-first or direct device placement and duplicated copies across processes or instances; startup timings for loading and warmup with byte and access counts per segment, and the expected warmup hit criteria; the safetensors index weight_map and the downloaded shard set; a profile showing memory-bound hot spots and the adjacent compute or communication segments; free device memory and whether an OOM occurs during construction or inference; for cross-rank delivery, the file-to-loader-group-rank map, tensor names, shapes, dtypes and call order, the required replicated or sliced output, the model's expected shard layout and the collective backend",
+ "produced_artifact": "The located load-path cost on the four dimensions with its matching lever, a startup ledger that keeps fixed overhead apart from per-request cost, a structural shard-completeness result naming the missing shards, a prefetch proposal behind an enable_prefetch switch defaulting to False or a recorded decision not to prefetch, an offload candidate order, the recorded loading mode, a distributed delivery choice with its proposed verification, and a preparation/serving record of serialized and rebuilt state, live resource owners and ABI/prepared-contract versions; proposed changes and verification targets, not a measured startup or delivery gain",
+ "failure_modes": [
+ "Loading and warmup are amortized into per-request latency, or a host segment without timing points is treated as costing nothing",
+ "Warmup is accepted on total time while mismatched warmup shapes have warmed a different set of cache entries",
+ "In-flight .incomplete shards are re-downloaded as corrupt, or gap-free shard numbering is accepted without matching the index weight_map",
+ "Prefetch is forced without a profiled memory-bound hot spot or a non-memory-bound dependency window",
+ "Resolution or CFG tier-downs are applied to a construction-phase OOM, or offload is adopted when compute already hides the transfer",
+ "A free-memory probe runs on an mmap-backed load, or a run whose first mlock failure latched with only a warning is treated as fully resident",
+ "Disk counters that include cache and pipes are read as physical writes, or a run without a page-cache drop is reported as a cold start",
+ "The ceil-block scatter partition is used without checking it against the model's expected shard layout, or ranks run different orders or plans so their collectives mismatch",
+ "A faster H2D copy, local clone or rank-local filtered read is counted as a cross-rank communication gain"
+ ],
+ "refusal_point": "Withholds a load-path win until the verification checklist holds and keeps the distributed-delivery checks as verification targets rather than results; does not force prefetch without a safe dependency window and disables it when neither a smaller size nor a moved position removes a regression; records unsupported save behaviors as unknown; rejects mismatched execution ABI or prepared-contract versions instead of editing their tags; and implies no Ascend support from the llama.cpp or fastsafetensors mechanisms",
+ "hardware": "NPU for the device-side prefetch API (torch_npu.npu_prefetch, checked against the target CANN version) and the Diffusers offload playbook; the prefetch and fastsafetensors methodology transfers while the fastsafetensors and llama.cpp APIs do not, and cross-rank completion follows each collective backend's own wait contract"
+ },
+ "recommendations": [
+ "Report preparation/startup/readiness, warmups and measured work as separate numbers, with load latency split into init, header, io and get phases, the cold-cache protocol stated and the effective loading mode identical across compared runs.",
+ "Place each prefetch behind an enable_prefetch switch defaulting to False, start max_size at 50% of the theoretical size, verify a single operator first and step up to 0.7 and then 1.0 only after verified wins.",
+ "Try offload candidates in order of change surface: batch size, resolution, CFG/feature flags, CPU or layered offload, tensor-parallel degree, then activation checkpointing; re-estimate the un-overlapped transfer share after adopting each tier.",
+ "Record whole-set atomic publication, asynchronous checkpointing, multi-rank save coordination and crash durability as unknown for the fastsafetensors saver instead of assuming them.",
+ "Before adopting coalesced delivery, compare it disabled and enabled with identical checkpoint, rank mapping, backend, topology, dtype, cache state, chunk/queue budgets and consumer retention, then measure complete startup under the same accounting protocol."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Normalized provenance covers the existing llama.cpp loading slice at 3e390af18de1131dda27913c00511725b4274c8a and the fastsafetensors distributed-delivery slice at 219e2561a41ede2d5d8eba611c248bb0effbf580; other inherited claims remain unnormalized with original identities and limits retained.",
@@ -150,10 +176,31 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Diagnosing the serving-level weight load path from storage to device and choosing changes to it when startup or loading latency dominates: locating the cost by source, format, placement and duplication, accounting once-per-process loading and warmup apart from per-request cost, verifying sharded downloads, restricting device-side prefetch to profiled memory-bound hot spots and ordering CPU-tier offload; also covers source-scoped disk-loading modes, pinned staging, synchronous checkpoint save semantics, fastsafetensors broadcast/scatter/coalesced delivery and the separation of model preparation from serving. Request-time host overhead belongs to host-overhead-profiling, DCP asynchronous save performance to dcp-async-save-performance and distributed recovery validity to checkpoint-recovery-consistency",
+ "prerequisites": "Flag names and API entry paths are re-verified against the pinned source revisions, and torch_npu.npu_prefetch details against the target CANN version, before they are relied on; card state is checked before launch and process placement fixed before measuring, through ascend-device-health and os-process-placement; the Diffusers enable_model_cpu_offload path requires accelerate",
+ "input_contract": "The current load path's byte source, file format, host-first or direct device placement and duplicated copies across processes or instances; startup timings for loading and warmup with byte and access counts per segment, and the expected warmup hit criteria; the safetensors index weight_map and the downloaded shard set; a profile showing memory-bound hot spots and the adjacent compute or communication segments; free device memory and whether an OOM occurs during construction or inference; for cross-rank delivery, the file-to-loader-group-rank map, tensor names, shapes, dtypes and call order, the required replicated or sliced output, the model's expected shard layout and the collective backend",
+ "produced_artifact": "The located load-path cost on the four dimensions with its matching lever, a startup ledger that keeps fixed overhead apart from per-request cost, a structural shard-completeness result naming the missing shards, a prefetch proposal behind an enable_prefetch switch defaulting to False or a recorded decision not to prefetch, an offload candidate order, the recorded loading mode, a distributed delivery choice with its proposed verification, and a preparation/serving record of serialized and rebuilt state, live resource owners and ABI/prepared-contract versions; proposed changes and verification targets, not a measured startup or delivery gain",
+ "failure_modes": [
+ "Loading and warmup are amortized into per-request latency, or a host segment without timing points is treated as costing nothing",
+ "Warmup is accepted on total time while mismatched warmup shapes have warmed a different set of cache entries",
+ "In-flight .incomplete shards are re-downloaded as corrupt, or gap-free shard numbering is accepted without matching the index weight_map",
+ "Prefetch is forced without a profiled memory-bound hot spot or a non-memory-bound dependency window",
+ "Resolution or CFG tier-downs are applied to a construction-phase OOM, or offload is adopted when compute already hides the transfer",
+ "A free-memory probe runs on an mmap-backed load, or a run whose first mlock failure latched with only a warning is treated as fully resident",
+ "Disk counters that include cache and pipes are read as physical writes, or a run without a page-cache drop is reported as a cold start",
+ "The ceil-block scatter partition is used without checking it against the model's expected shard layout, or ranks run different orders or plans so their collectives mismatch",
+ "A faster H2D copy, local clone or rank-local filtered read is counted as a cross-rank communication gain"
+ ],
+ "refusal_point": "Withholds a load-path win until the verification checklist holds and keeps the distributed-delivery checks as verification targets rather than results; does not force prefetch without a safe dependency window and disables it when neither a smaller size nor a moved position removes a regression; records unsupported save behaviors as unknown; rejects mismatched execution ABI or prepared-contract versions instead of editing their tags; and implies no Ascend support from the llama.cpp or fastsafetensors mechanisms",
+ "hardware": "NPU for the device-side prefetch API (torch_npu.npu_prefetch, checked against the target CANN version) and the Diffusers offload playbook; the prefetch and fastsafetensors methodology transfers while the fastsafetensors and llama.cpp APIs do not, and cross-rank completion follows each collective backend's own wait contract"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Report preparation/startup/readiness, warmups and measured work as separate numbers, with load latency split into init, header, io and get phases, the cold-cache protocol stated and the effective loading mode identical across compared runs.",
+ "Place each prefetch behind an enable_prefetch switch defaulting to False, start max_size at 50% of the theoretical size, verify a single operator first and step up to 0.7 and then 1.0 only after verified wins.",
+ "Try offload candidates in order of change surface: batch size, resolution, CFG/feature flags, CPU or layered offload, tensor-parallel degree, then activation checkpointing; re-estimate the un-overlapped transfer share after adopting each tier.",
+ "Record whole-set atomic publication, asynchronous checkpointing, multi-rank save coordination and crash durability as unknown for the fastsafetensors saver instead of assuming them.",
+ "Before adopting coalesced delivery, compare it disabled and enabled with identical checkpoint, rank mapping, backend, topology, dtype, cache state, chunk/queue budgets and consumer retention, then measure complete startup under the same accounting protocol."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
index 267264193..3d66e499f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
index cdbd2ecc6..23330c819 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/LICENSE",
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
index e2d74d381..4f63d87e8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
index a78dad1f6..c936b7a7d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
index eb9c6e654..de9e09692 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
@@ -36,8 +36,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/058fc76b656ea5a29bb4646a5e556e32d35bdbc9/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
- "commit": "058fc76b656ea5a29bb4646a5e556e32d35bdbc9",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/66e6392e91b0b595d8ef34b767d6d0873d006586/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
+ "commit": "66e6392e91b0b595d8ef34b767d6d0873d006586",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json",
diff --git a/src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json b/src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json
index 8d5b53808..61d811ebe 100644
--- a/src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json
@@ -156,6 +156,37 @@
}
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton, CuTe DSL, CUDA C++, AscendC or TileIR, applying framework-independent correctness rules, and verifying the executing kernel against a reference before benchmarking; covers fused elementwise chains, reductions, tiled GEMM, attention variants, custom collectives, causal convolution and stateful serving-operator qualification",
+ "prerequisites": "The applicable operator, caller/state and layout contracts are read before substitution, including the causal-conv1d contract and HF Qwen3.5 GDN binding; the CuTe DSL environment uses Linux x86_64, Python 3.10–3.13 and Ampere+ (SM80+) with nvidia-cutlass-dsl installed and no NPU target; the CANN programming guide for the specific SoC is consulted for AscendC",
+ "input_contract": "The candidate operation or operation chain, its shapes, dtypes, quantization and layout requirements, and the target execution phase; the target accelerator and framework constraints; for serving operators, the concrete caller, effective phase and backend, state-row mapping, cache or buffer lifetime and in-place-write behavior; a reference implementation with the same signature, a callable kernel wrapper and fresh CUDA or NPU test tensors; verification shapes and dtypes plus profiler output for the target metric",
+ "produced_artifact": "A write-or-decline decision for the candidate operation with the profiled bottleneck or fusable pair that justifies it, a framework choice routed by pattern and accelerator, a correctness checklist covering fp32 transcendental round-trips, sync-free wrappers, C division semantics, pre-allocated outputs, fp32 matmul accumulators and masked boundary loads and stores, a starting block or tile size with its autotune and warmup cost noted, a kernel shipping kernel_fn, reference_fn and get_inputs, a reference-parity result across the verification shapes and dtypes, and a post-verification profiler reading on the target metric; for an existing causal-convolution or stateful serving operator, a qualification record naming the caller, phase, backend, state rows and in-place writes, with source selection kept apart from executed dispatch; a routing and correctness decision, not a complete implementation or a measured speedup",
+ "failure_modes": [
+ "A kernel is written for a standalone elementwise op, a standalone matmul or standard attention where the vendor library already wins",
+ "Host-side scheduling cost is treated as a kernel problem instead of being routed to host-overhead-profiling",
+ "Fusion is justified by removed Python call overhead rather than by the DRAM traffic the shared data no longer makes",
+ "A transcendental runs on fp16/bf16 inputs without the fp32 cast round-trip, so the error stays silent through benchmarking",
+ "tl.dot accumulates in the input dtype because Triton is assumed to promote fp16/bf16 to fp32 automatically",
+ "Negative offsets are computed assuming Python floor division while Triton or AscendC rounds toward zero",
+ "An unmasked load or store is accepted because the benchmark shapes happen to divide the block size",
+ "A kernel is benchmarked before it matches its reference, or a shape-boundary, accumulator-dtype or precision failure is read as a tuning problem",
+ "A verification pass is reported as a win although the profiler metric did not move, so the kernel was never on the critical path",
+ "Autotune compile cost is measured as steady-state serving latency instead of being pre-warmed or cached",
+ "A CuTe DSL pattern is routed to an NPU target, or a CUDA tail-guard, attention primitive or SM-matched example is assumed to carry to Ascend",
+ "A causal-conv1d or GDN operator is substituted on build success, import success or matching names without resolving dtype, strides, packed boundaries, state rows and cursors",
+ "An in-tree vLLM wrapper, a GDN prefill flag or a cache-free classification adapter is read as establishing the executed convolution path or generation-state support"
+ ],
+ "refusal_point": "Declines to start a kernel until a profiler puts the target on the critical path near its hardware ceiling or names a concrete fusable pair, and sends host-bound cases elsewhere; refuses to benchmark an unverified kernel and withholds a gain whose profiler metric did not move; keeps operator source selection separate from executed dispatch, numerical parity and hardware qualification, so build or import success qualifies nothing; treats AscendC and TileIR content as source-inferred pending CANN and SoC verification with no local NPU run, treats the AKG Affine FileCheck expectations as IR structure rather than executed CUDA correctness, and reads author-reported overlap and FP8 cases as counterexamples to unconditional tuning rules; claims no Ascend support from NVIDIA primitives",
+ "hardware": "CUDA Ampere+ and Ascend NPU have separate framework routes for each kernel pattern; CuTe DSL requires Linux x86_64, Python 3.10-3.13 and SM80+ with nvidia-cutlass-dsl and is unavailable on NPU; profiling uses ncu on CUDA and msprof on Ascend; the AscendC and TileIR guidance is source-inferred with no local NPU verification and requires validation against the specific CANN version and SoC"
+ },
+ "recommendations": [
+ "Confirm with nsys/ncu or msprof that the target kernel sits on the critical path near its hardware ceiling, or name the adjacent operations whose shared data would otherwise round-trip through DRAM, before writing any kernel.",
+ "Ship every kernel with kernel_fn, reference_fn and get_inputs, pass reference parity across the verification shapes and dtypes first, and profile afterwards to confirm the target metric actually moved.",
+ "Cast fp16/bf16 to fp32 and back for any math beyond +, -, * and /, declare tl.dot accumulators as tl.float32, and mask every load and store whose shape does not divide the block size.",
+ "Start Triton at BLOCK_SIZE 1024 on Hopper and 512 on Ampere using powers of two, take GEMM tiles from the source skeleton configs (128/256/64 for Hopper, 64/128/32 for smaller cards) and autotune from there.",
+ "On Ascend, reach for TileIR before raw AscendC, size tiles to fit the AI Core Unified Buffer and check cube-unit alignment against the CANN guide for the specific SoC.",
+ "Match a CuTe DSL example to the GPU architecture (SM80 Ampere, SM90 Hopper, SM100 Blackwell) and study its structure instead of copying it, and pre-warm or cache autotuned kernels at startup so first-run compile cost stays out of serving latency."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets.",
diff --git a/src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json b/src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json
index 777bf518b..5efd71b48 100644
--- a/src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json
@@ -77,6 +77,32 @@
}
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Diagnosing the serving-level weight load path from storage to device and choosing changes to it when startup or loading latency dominates: locating the cost by source, format, placement and duplication, accounting once-per-process loading and warmup apart from per-request cost, verifying sharded downloads, restricting device-side prefetch to profiled memory-bound hot spots and ordering CPU-tier offload; also covers source-scoped disk-loading modes, pinned staging, synchronous checkpoint save semantics, fastsafetensors broadcast/scatter/coalesced delivery and the separation of model preparation from serving. Request-time host overhead belongs to host-overhead-profiling, DCP asynchronous save performance to dcp-async-save-performance and distributed recovery validity to checkpoint-recovery-consistency",
+ "prerequisites": "Flag names and API entry paths are re-verified against the pinned source revisions, and torch_npu.npu_prefetch details against the target CANN version, before they are relied on; card state is checked before launch and process placement fixed before measuring, through ascend-device-health and os-process-placement; the Diffusers enable_model_cpu_offload path requires accelerate",
+ "input_contract": "The current load path's byte source, file format, host-first or direct device placement and duplicated copies across processes or instances; startup timings for loading and warmup with byte and access counts per segment, and the expected warmup hit criteria; the safetensors index weight_map and the downloaded shard set; a profile showing memory-bound hot spots and the adjacent compute or communication segments; free device memory and whether an OOM occurs during construction or inference; for cross-rank delivery, the file-to-loader-group-rank map, tensor names, shapes, dtypes and call order, the required replicated or sliced output, the model's expected shard layout and the collective backend",
+ "produced_artifact": "The located load-path cost on the four dimensions with its matching lever, a startup ledger that keeps fixed overhead apart from per-request cost, a structural shard-completeness result naming the missing shards, a prefetch proposal behind an enable_prefetch switch defaulting to False or a recorded decision not to prefetch, an offload candidate order, the recorded loading mode, a distributed delivery choice with its proposed verification, and a preparation/serving record of serialized and rebuilt state, live resource owners and ABI/prepared-contract versions; proposed changes and verification targets, not a measured startup or delivery gain",
+ "failure_modes": [
+ "Loading and warmup are amortized into per-request latency, or a host segment without timing points is treated as costing nothing",
+ "Warmup is accepted on total time while mismatched warmup shapes have warmed a different set of cache entries",
+ "In-flight .incomplete shards are re-downloaded as corrupt, or gap-free shard numbering is accepted without matching the index weight_map",
+ "Prefetch is forced without a profiled memory-bound hot spot or a non-memory-bound dependency window",
+ "Resolution or CFG tier-downs are applied to a construction-phase OOM, or offload is adopted when compute already hides the transfer",
+ "A free-memory probe runs on an mmap-backed load, or a run whose first mlock failure latched with only a warning is treated as fully resident",
+ "Disk counters that include cache and pipes are read as physical writes, or a run without a page-cache drop is reported as a cold start",
+ "The ceil-block scatter partition is used without checking it against the model's expected shard layout, or ranks run different orders or plans so their collectives mismatch",
+ "A faster H2D copy, local clone or rank-local filtered read is counted as a cross-rank communication gain"
+ ],
+ "refusal_point": "Withholds a load-path win until the verification checklist holds and keeps the distributed-delivery checks as verification targets rather than results; does not force prefetch without a safe dependency window and disables it when neither a smaller size nor a moved position removes a regression; records unsupported save behaviors as unknown; rejects mismatched execution ABI or prepared-contract versions instead of editing their tags; and implies no Ascend support from the llama.cpp or fastsafetensors mechanisms",
+ "hardware": "NPU for the device-side prefetch API (torch_npu.npu_prefetch, checked against the target CANN version) and the Diffusers offload playbook; the prefetch and fastsafetensors methodology transfers while the fastsafetensors and llama.cpp APIs do not, and cross-rank completion follows each collective backend's own wait contract"
+ },
+ "recommendations": [
+ "Report preparation/startup/readiness, warmups and measured work as separate numbers, with load latency split into init, header, io and get phases, the cold-cache protocol stated and the effective loading mode identical across compared runs.",
+ "Place each prefetch behind an enable_prefetch switch defaulting to False, start max_size at 50% of the theoretical size, verify a single operator first and step up to 0.7 and then 1.0 only after verified wins.",
+ "Try offload candidates in order of change surface: batch size, resolution, CFG/feature flags, CPU or layered offload, tensor-parallel degree, then activation checkpointing; re-estimate the un-overlapped transfer share after adopting each tier.",
+ "Record whole-set atomic publication, asynchronous checkpointing, multi-rank save coordination and crash durability as unknown for the fastsafetensors saver instead of assuming them.",
+ "Before adopting coalesced delivery, compare it disabled and enabled with identical checkpoint, rank mapping, backend, topology, dtype, cache state, chunk/queue budgets and consumer retention, then measure complete startup under the same accounting protocol."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Normalized provenance covers the existing llama.cpp loading slice at 3e390af18de1131dda27913c00511725b4274c8a and the fastsafetensors distributed-delivery slice at 219e2561a41ede2d5d8eba611c248bb0effbf580; other inherited claims remain unnormalized with original identities and limits retained.",
From a559b12a1dcf1d549e801dd645a949b0f730a75f Mon Sep 17 00:00:00 2001
From: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Date: Sat, 31 Oct 2026 09:50:21 +0800
Subject: [PATCH 3/8] docs: regenerate skill projections from a reachable
source snapshot
Rebuild the catalog and coverage from the committed combined sources.
Retain the source commit as an ancestor so catalog links and generator
checks remain reproducible after cloning the published branch.
Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (generated projections and validation)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
---
docs/skill-coverage.md | 38 +++++-----
.../repo_packs/inferrsi/knowledge/README.md | 4 +-
.../ascend-aclgraph-capture-replay.json | 4 +-
.../ascend/skills/ascend-device-health.json | 4 +-
.../skills/ascend-distributed-parallel.json | 4 +-
.../ascend/skills/ascend-graph-mode.json | 4 +-
.../skills/ascend-model-adaptation.json | 4 +-
.../skills/ascend-operator-profiling.json | 4 +-
.../ascend/skills/ascend-operator-tuning.json | 4 +-
.../skills/ascend-optimization-casebook.json | 4 +-
.../skills/ascend-performance-analysis.json | 4 +-
.../ascend-video-diffusion-optimization.json | 4 +-
.../ascend/skills/ascendc-tiling-design.json | 4 +-
.../skills/cann-attribution-overlap.json | 4 +-
.../torchnpu-device-memory-lifecycle.json | 4 +-
...torchnpu-pinned-host-memory-lifecycle.json | 4 +-
.../skills/assess-serving-preemption.json | 49 +++++++++++--
.../assess-split-backward-schedule.json | 47 +++++++++++--
.../skills/audit-fixed-workload-claim.json | 45 ++++++++++--
.../audit-h3-metal-fasth3-semantics.json | 4 +-
.../skills/audit-h3-runtime-residency.json | 4 +-
.../skills/audit-llama-runtime-state.json | 4 +-
.../audit-recurrent-kv-finalization.json | 4 +-
.../common/skills/audit-sd-cpp-residency.json | 4 +-
.../audit-sglang-diffusion-lifetimes.json | 4 +-
.../skills/audit-vllm-kv-lifetimes.json | 4 +-
.../bound-windowed-attention-replay.json | 4 +-
.../budget-speculative-verification.json | 4 +-
.../skills/calibrate-serving-simulation.json | 47 +++++++++++--
.../skills/cgroup-resource-controls.json | 4 +-
.../checkpoint-recovery-consistency.json | 51 ++++++++++++--
.../skills/choose-parallel-training-plan.json | 47 +++++++++++--
.../skills/cite-check-downstream-pr.json | 4 +-
.../common/skills/claim-contract.json | 4 +-
.../knowledge/common/skills/comfy-ui.json | 4 +-
.../common/skills/competitor-scan.json | 4 +-
.../skills/dcp-async-save-performance.json | 4 +-
.../skills/dense-performance-evidence.json | 47 +++++++++++--
.../diagnose-vllm-admission-pressure.json | 4 +-
.../skills/diffusers-invocation-state.json | 4 +-
.../common/skills/draft-acceptance-issue.json | 4 +-
.../knowledge/common/skills/dwarfstar.json | 4 +-
.../evaluate-elastic-serving-placement.json | 47 +++++++++++--
.../skills/generation-cache-lifecycle.json | 4 +-
.../common/skills/host-memory-management.json | 4 +-
.../skills/host-overhead-optimization.json | 4 +-
.../knowledge/common/skills/husky.json | 4 +-
.../skills/inference-benchmark-design.json | 51 ++++++++++++--
.../inference-optimization-casebook.json | 49 +++++++++++--
.../common/skills/kernel-writing-guide.json | 69 +++++++++++++++++--
.../common/skills/kv-tier-management.json | 4 +-
.../lazy-evaluation-stream-lifetimes.json | 4 +-
.../knowledge/common/skills/lily.json | 4 +-
.../knowledge/common/skills/lithos-metal.json | 4 +-
.../knowledge/common/skills/local-dream.json | 4 +-
.../knowledge/common/skills/mistral-rs.json | 4 +-
.../knowledge/common/skills/mlc-llm.json | 4 +-
.../knowledge/common/skills/mlx-swift-lm.json | 4 +-
.../common/skills/npu-skill-factory.json | 4 +-
.../skills/optimization-search-policy.json | 51 ++++++++++++--
.../common/skills/os-process-placement.json | 4 +-
.../skills/performance-ceiling-analysis.json | 4 +-
.../skills/plan-activation-residency.json | 49 +++++++++++--
.../knowledge/common/skills/project-maya.json | 4 +-
.../skills/repository-evolution-analysis.json | 4 +-
.../knowledge/common/skills/rsi-evidence.json | 4 +-
.../skills/skill-evolution-playbook.json | 51 ++++++++++++--
.../knowledge/common/skills/splash.json | 4 +-
.../common/skills/storage-io-measurement.json | 4 +-
.../skills/training-input-pipeline.json | 51 ++++++++++++--
.../skills/training-resource-budget.json | 51 ++++++++++++--
.../skills/video-diffusion-optimization.json | 4 +-
.../knowledge/common/skills/vllm-metal.json | 4 +-
.../skills/weight-loading-optimization.json | 59 ++++++++++++++--
.../cuda/skills/audit-afd-p2p-exchanges.json | 4 +-
.../skills/audit-flare-session-lifecycle.json | 4 +-
.../diagnose-attention-bottlenecks.json | 4 +-
.../cuda/skills/host-overhead-profiling.json | 4 +-
.../cuda/skills/reason-hopper-kernels.json | 4 +-
79 files changed, 900 insertions(+), 243 deletions(-)
diff --git a/docs/skill-coverage.md b/docs/skill-coverage.md
index 0fbd111e4..e6e8498ce 100644
--- a/docs/skill-coverage.md
+++ b/docs/skill-coverage.md
@@ -4,7 +4,7 @@ Generated from the registry, the skill sidecars and the two maintained
matrices. **Do not edit by hand**; regenerate after any registry, skill,
matrix or frozen-plan change.
-- Input digest: `sha256:b6f5cec72e5e52fcc4113bf50c68612417688b40c54cc79cbd24a611db574f3c`
+- Input digest: `sha256:2b169012f9cc99e9f563a5717ed04926a99b24ad059fa777d2e79ebd8b75eac6`
- Regenerate: `python tools/build_skill_coverage.py`
- Verify without writing: `python tools/build_skill_coverage.py --check`
@@ -118,26 +118,26 @@ optimization is fully covered or that any procedure has measured benefit.
| Skill | Backend | Declared task | Applicability | Conditions | SearchSpace layer / stage | Reference Matrix | State | Gaps |
|---|---|---|---|---|---|---|---|---|
-| [assess-serving-preemption](../src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md) | common | Assess whether LLM serving queue delays justify token-boundary priority preemption, accounting for suspended KV, host ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize / Verify
2 RAM/Host · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Orca — OSDI 2022 proceedings) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [assess-split-backward-schedule](../src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md) | common | Evaluate memory-capped split-backward and V-shaped pipeline scheduling proposals, preserving synchronous update ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Zero Bubble — [2401.10241v1](https://arxiv.org/abs/2401.10241v1)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [audit-fixed-workload-claim](../src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md) | common | Audit a performance claim from supplied fixed-workload reports and an explicit measurement contract. Check aggregation ... | **unknown** | — | — | — | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-Reference-Matrix-row, no-applicability, no-eval |
-| [calibrate-serving-simulation](../src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md) | common | Build an evidence-gated serving-configuration shortlist from a profiled simulator while separating empirical ... | **unknown** | — | 1 Accelerator · Diagnose / Verify | 1 · Systems sources (Vidur — [2405.05465v2](https://arxiv.org/abs/2405.05465v2)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [checkpoint-recovery-consistency](../src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md) | common | Assess distributed checkpoint recovery using DLRover memory agreement, persistence completion and replica transport ... | **unknown** | — | 2 RAM/Host · Configure / Verify
3 SSD · Configure / Verify
4 Network · Diagnose / Configure / Verify
5 OS · Diagnose / Configure | 1 · Systems sources (C3 / DLRover FlashCheckpoint @ `e35b1ad90e2928ca6bacf5d22117f71356 ...)
1 · Systems sources (C4 / NVIDIA Resiliency Extension @ ...) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [choose-parallel-training-plan](../src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md) | common | Compare stage, device-mesh and operator-sharding candidates for static distributed training while accounting for ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Alpa — [2201.12023v3](https://arxiv.org/abs/2201.12023v3)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [dense-performance-evidence](../src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md) | common | Taxonomy of performance evidence an optimization agent needs, ordered by collection cost and diagnostic power. Maps ... | **unknown** | — | 1 Accelerator · Observe / Profile / Verify
2 RAM/Host · Verify
4 Network · Verify | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | no-applicability |
-| [evaluate-elastic-serving-placement](../src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md) | common | Compare migrating an LLM request between model replicas with changing its sequence-parallel execution group, including ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize / Verify
2 RAM/Host · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Llumnix — [2406.03243v1](https://arxiv.org/abs/2406.03243v1)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [inference-benchmark-design](../src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md) | common | Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents ... | **unknown** | — | — | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
Task-specific benchmark selection (issue #60) ([Issue #60 report](https://github.com/InferMatrixLab/InferRSI/issues/6 ...) | candidate · not_run · 2 readset(s) | no-SearchSpace-layer, no-applicability |
-| [inference-optimization-casebook](../src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md) | common | How to structure and use a casebook of past optimization decisions as a decision-support tool. Extracts the casebook ... | **unknown** | — | 1 Accelerator · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-applicability, no-eval |
-| [kernel-writing-guide](../src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md) | common | Decision guide for writing custom inference kernels: when to write one, which framework to choose (Triton, CuTe DSL ... | **unknown** | — | 1 Accelerator · Optimize / Diagnose / Configure / Verify | 1 · Systems sources (Dao-AILab/causal-conv1d @ `cd81f0413cad2fc1e6f17e785ac39f59aae690cd` ...)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (huggingface/transformers @ `0dad7b822255a0ae261ec45ae937371e859ffd1a` ...)
1 · Systems sources (mindspore-ai/akg @ `5aa15f3fe4d856eb60cd3b27447e04f5f1fb4dff` ...)
1 · Systems sources (sgl-project/sglang @ `16176278d0180f1a1a578e53e6eef432577876c2` ...)
1 · Systems sources (vllm-project/vllm @ `537a79f0fc5ba564d2bef43d54915b2f80f9f77d` (root ...) | candidate · not_run · 7 readset(s) | no-applicability, no-eval |
-| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | **unknown** | — | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 6 readset(s) | no-applicability, no-eval |
+| [assess-serving-preemption](../src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md) | common | Assess whether LLM serving queue delays justify token-boundary priority preemption, accounting for suspended KV, host ... | Diagnosing whether LLM serving queue delay justifies token-boundary priority preemption ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify
2 RAM/Host · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Orca — OSDI 2022 proceedings) | candidate · not_run · 1 readset(s) | no-eval |
+| [assess-split-backward-schedule](../src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md) | common | Evaluate memory-capped split-backward and V-shaped pipeline scheduling proposals, preserving synchronous update ... | Assessing memory-capped split-backward and V-shaped pipeline schedule proposals when a ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Zero Bubble — [2401.10241v1](https://arxiv.org/abs/2401.10241v1)) | candidate · not_run · 1 readset(s) | no-eval |
+| [audit-fixed-workload-claim](../src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md) | common | Audit a performance claim from supplied fixed-workload reports and an explicit measurement contract. Check aggregation ... | Auditing a performance claim against supplied fixed-workload reports and an explicit ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | — | — | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-Reference-Matrix-row, no-eval |
+| [calibrate-serving-simulation](../src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md) | common | Build an evidence-gated serving-configuration shortlist from a profiled simulator while separating empirical ... | Building an evidence-gated serving-configuration shortlist when a profiled simulator or ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Verify | 1 · Systems sources (Vidur — [2405.05465v2](https://arxiv.org/abs/2405.05465v2)) | candidate · not_run · 1 readset(s) | no-eval |
+| [checkpoint-recovery-consistency](../src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md) | common | Assess distributed checkpoint recovery using DLRover memory agreement, persistence completion and replica transport ... | Assessing distributed checkpoint recovery through DLRover memory agreement, persistence ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 2 RAM/Host · Configure / Verify
3 SSD · Configure / Verify
4 Network · Diagnose / Configure / Verify
5 OS · Diagnose / Configure | 1 · Systems sources (C3 / DLRover FlashCheckpoint @ `e35b1ad90e2928ca6bacf5d22117f71356 ...)
1 · Systems sources (C4 / NVIDIA Resiliency Extension @ ...) | candidate · not_run · 1 readset(s) | no-eval |
+| [choose-parallel-training-plan](../src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md) | common | Compare stage, device-mesh and operator-sharding candidates for static distributed training while accounting for ... | Comparing stage, device-mesh and operator-sharding candidates for static distributed ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Alpa — [2201.12023v3](https://arxiv.org/abs/2201.12023v3)) | candidate · not_run · 1 readset(s) | no-eval |
+| [dense-performance-evidence](../src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md) | common | Taxonomy of performance evidence an optimization agent needs, ordered by collection cost and diagnostic power. Maps ... | Deciding which performance evidence to collect next and which claim each evidence level ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Observe / Profile / Verify
2 RAM/Host · Verify
4 Network · Verify | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | — |
+| [evaluate-elastic-serving-placement](../src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md) | common | Compare migrating an LLM request between model replicas with changing its sequence-parallel execution group, including ... | Comparing migration of a running LLM request between compatible model replicas with ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Configure / Optimize / Verify
2 RAM/Host · Diagnose / Configure / Optimize / Verify
4 Network · Diagnose / Configure / Optimize / Verify | 1 · Systems sources (Llumnix — [2406.03243v1](https://arxiv.org/abs/2406.03243v1)) | candidate · not_run · 1 readset(s) | no-eval |
+| [inference-benchmark-design](../src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md) | common | Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents ... | Selecting task quality gates, reference parity checks and performance workloads for text ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | — | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
Task-specific benchmark selection (issue #60) ([Issue #60 report](https://github.com/InferMatrixLab/InferRSI/issues/6 ...) | candidate · not_run · 2 readset(s) | no-SearchSpace-layer |
+| [inference-optimization-casebook](../src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md) | common | How to structure and use a casebook of past optimization decisions as a decision-support tool. Extracts the casebook ... | Structuring and querying a casebook of past optimization decisions as decision support ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-eval |
+| [kernel-writing-guide](../src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md) | common | Decision guide for writing custom inference kernels: when to write one, which framework to choose (Triton, CuTe DSL ... | Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton ... | failure_modes, input_contract, produced_artifact, refusal_point
6 advice | 1 Accelerator · Optimize / Diagnose / Configure / Verify | 1 · Systems sources (Dao-AILab/causal-conv1d @ `cd81f0413cad2fc1e6f17e785ac39f59aae690cd` ...)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (huggingface/transformers @ `0dad7b822255a0ae261ec45ae937371e859ffd1a` ...)
1 · Systems sources (mindspore-ai/akg @ `5aa15f3fe4d856eb60cd3b27447e04f5f1fb4dff` ...)
1 · Systems sources (sgl-project/sglang @ `16176278d0180f1a1a578e53e6eef432577876c2` ...)
1 · Systems sources (vllm-project/vllm @ `537a79f0fc5ba564d2bef43d54915b2f80f9f77d` (root ...) | candidate · not_run · 7 readset(s) | no-eval |
+| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | Selecting, ordering and stopping optimization experiments: candidate generation ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 6 readset(s) | no-eval |
| [performance-ceiling-analysis](../src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md) | common | Estimate optimization headroom before modifying an inference system. Produces a three-level ceiling model (analytical ... | inference serving systems (LLM, diffusion, audio) | — | 1 Accelerator · Diagnose / Verify
5 OS · Configure | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ebugger/Empirical-Roofline-Toolkit @ 0771fa9)
1 · Systems sources (hahnyuan/LLM-Viewer @ 1893e4b) | candidate · not_run · 16 readset(s) | no-eval |
-| [plan-activation-residency](../src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md) | common | Propose training activation and gradient memory reductions by distinguishing lifetime reordering, address packing and ... | **unknown** | — | 1 Accelerator · Diagnose / Optimize / Verify | 1 · Systems sources (Checkmate — [1910.02653v3](https://arxiv.org/abs/1910.02653v3)) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
+| [plan-activation-residency](../src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md) | common | Propose training activation and gradient memory reductions by distinguishing lifetime reordering, address packing and ... | Proposing training activation and gradient memory reductions when pressure appears to ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Optimize / Verify | 1 · Systems sources (Checkmate — [1910.02653v3](https://arxiv.org/abs/1910.02653v3)) | candidate · not_run · 1 readset(s) | no-eval |
| [repository-evolution-analysis](../src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md) | common | Analyze a repository's commit history to build a capability-evolution model: what the system can do, how it got there ... | any software repository with a recoverable git history | — | — | 2 · Methodology and corpus references (LearningToCommit/LearningToCommit @ 7e5a1d7)
2 · Methodology and corpus references (yetone/magpie @ 77800032) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-eval |
-| [skill-evolution-playbook](../src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md) | common | Practical design choices for evolving agent skills from execution traces: when one trajectory should update a skill ... | **unknown** | — | — | 2 · Methodology and corpus references (Qwen-Applications/Trace2Skill @ 3d0b52a)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-applicability, no-eval |
-| [training-input-pipeline](../src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md) | common | Diagnose training input stalls and choose bounded queue, shard-cache and cache-ownership changes from DALI, Mosaic ... | **unknown** | — | 1 Accelerator · Observe / Configure / Optimize
2 RAM/Host · Observe / Diagnose / Configure / Optimize
3 SSD · Diagnose / Configure / Optimize
4 Network · Configure / Optimize
5 OS · Configure / Optimize | 1 · Systems sources (B1 / NVIDIA DALI @ `6fe47c48d3b0ca335f5e1afd3c77c750b2c7e041` ...)
1 · Systems sources (B2 / Mosaic Streaming @ `d99bf9c7cdf2dd4ed62a4960ed35270b93337a5f` ...)
1 · Systems sources (B3 / FFCV @ `3a12966b3afe3a81733a732e633317d747bfaac7` ...) | candidate · not_run · 1 readset(s) | no-applicability, no-eval |
-| [training-resource-budget](../src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md) | common | Choose training offload and resource-budget changes using pinned DeepSpeed configuration, attributed expert diagnosis ... | **unknown** | — | 1 Accelerator · Diagnose / Configure / Optimize
2 RAM/Host · Observe / Diagnose / Configure / Optimize / Verify
3 SSD · Configure / Optimize
4 Network · Observe / Diagnose / Verify
5 OS · Diagnose / Configure | 1 · Systems sources (CR1 / DeepSpeed ZeRO-Infinity @ `5f266e26d216a705d9c64cac88fb813ce ...)
1 · Systems sources (CR5 / Ascend MindSpeed adaptive memory — historical `core_r0.8.0` ...)
1 · Systems sources (ZeRO-Offload — [2101.06840v1](https://arxiv.org/abs/2101.06840v1))
2 · Methodology and corpus references (CR6 / Stas Bekman ML Engineering Open Book @ ...) | candidate · not_run · 9 readset(s) | no-applicability, no-eval |
+| [skill-evolution-playbook](../src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md) | common | Practical design choices for evolving agent skills from execution traces: when one trajectory should update a skill ... | Design choices for evolving agent skills from execution traces, drawn from Trace2Skill ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | — | 2 · Methodology and corpus references (Qwen-Applications/Trace2Skill @ 3d0b52a)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-eval |
+| [training-input-pipeline](../src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md) | common | Diagnose training input stalls and choose bounded queue, shard-cache and cache-ownership changes from DALI, Mosaic ... | Diagnosing training input stalls and choosing bounded queue, shard-cache and ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Observe / Configure / Optimize
2 RAM/Host · Observe / Diagnose / Configure / Optimize
3 SSD · Diagnose / Configure / Optimize
4 Network · Configure / Optimize
5 OS · Configure / Optimize | 1 · Systems sources (B1 / NVIDIA DALI @ `6fe47c48d3b0ca335f5e1afd3c77c750b2c7e041` ...)
1 · Systems sources (B2 / Mosaic Streaming @ `d99bf9c7cdf2dd4ed62a4960ed35270b93337a5f` ...)
1 · Systems sources (B3 / FFCV @ `3a12966b3afe3a81733a732e633317d747bfaac7` ...) | candidate · not_run · 1 readset(s) | no-eval |
+| [training-resource-budget](../src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md) | common | Choose training offload and resource-budget changes using pinned DeepSpeed configuration, attributed expert diagnosis ... | Choosing training offload and resource-budget changes from pinned DeepSpeed ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Diagnose / Configure / Optimize
2 RAM/Host · Observe / Diagnose / Configure / Optimize / Verify
3 SSD · Configure / Optimize
4 Network · Observe / Diagnose / Verify
5 OS · Diagnose / Configure | 1 · Systems sources (CR1 / DeepSpeed ZeRO-Infinity @ `5f266e26d216a705d9c64cac88fb813ce ...)
1 · Systems sources (CR5 / Ascend MindSpeed adaptive memory — historical `core_r0.8.0` ...)
1 · Systems sources (ZeRO-Offload — [2101.06840v1](https://arxiv.org/abs/2101.06840v1))
2 · Methodology and corpus references (CR6 / Stas Bekman ML Engineering Open Book @ ...) | candidate · not_run · 9 readset(s) | no-eval |
| [video-diffusion-optimization](../src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md) | common | Run and verify goal-driven video diffusion optimization, backend-agnostic. Use when the user asks for latency, RTF ... | Backend-agnostic video diffusion inference and serving optimization | — | — | — | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-Reference-Matrix-row, no-eval |
-| [weight-loading-optimization](../src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md) | common | Optimize the serving-level weight load path from storage to device: judge the load path on four dimensions (source ... | **unknown** | — | 1 Accelerator † guidance: Flare preparation and complete-session source contracts
2 RAM/Host † guidance: Flare preparation and complete-session source contracts
3 SSD · Observe / Profile / Diagnose / Optimize / Verify † guidance: Flare preparation and complete-session source contracts
4 Network · Configure / Optimize / Verify | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c)
1 · Systems sources (foundation-model-stack/fastsafetensors @ 219e256)
1 · Systems sources (ggml-org/llama.cpp @ `3e390af18de1131dda27913c00511725b4274c8a` (MIT ...)
1 · Systems sources (mindie-agent/mindie-agent @ 6a81b41) | candidate · not_run · 3 readset(s) | no-applicability, no-eval |
+| [weight-loading-optimization](../src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md) | common | Optimize the serving-level weight load path from storage to device: judge the load path on four dimensions (source ... | Diagnosing the serving-level weight load path from storage to device and choosing changes ... | failure_modes, input_contract, produced_artifact, refusal_point
5 advice | 1 Accelerator † guidance: Flare preparation and complete-session source contracts
2 RAM/Host † guidance: Flare preparation and complete-session source contracts
3 SSD · Observe / Profile / Diagnose / Optimize / Verify † guidance: Flare preparation and complete-session source contracts
4 Network · Configure / Optimize / Verify | 1 · Systems sources (Ascend/MindIE-SD @ 8481d39)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ascend-ai-coding/awesome-ascend-skills @ 75ec89c)
1 · Systems sources (foundation-model-stack/fastsafetensors @ 219e256)
1 · Systems sources (ggml-org/llama.cpp @ `3e390af18de1131dda27913c00511725b4274c8a` (MIT ...)
1 · Systems sources (mindie-agent/mindie-agent @ 6a81b41) | candidate · not_run · 3 readset(s) | no-eval |
## Registered: Workflows (6)
@@ -221,7 +221,7 @@ an entrypoint routes to procedures below it rather than adding one.
| `no-SearchSpace-layer` | 15: ascend-video-diffusion-optimization, audit-fixed-workload-claim, audit-recurrent-kv-finalization, cite-check-downstream-pr, competitor-scan, draft-acceptance-issue, dwarfstar, husky, inference-benchmark-design, lily, npu-skill-factory, repository-evolution-analysis, skill-evolution-playbook, splash, video-diffusion-optimization |
| `no-Reference-Matrix-row` | 8: ascend-video-diffusion-optimization, audit-fixed-workload-claim, cite-check-downstream-pr, claim-contract, competitor-scan, draft-acceptance-issue, rsi-evidence, video-diffusion-optimization |
| `no-sidecar` | 0: — |
-| `no-applicability` | 41: as listed in the Gaps column above |
+| `no-applicability` | 24: as listed in the Gaps column above |
| `no-eval` | 75: as listed in the Gaps column above |
These are inventory gaps, not defects. A workflow skill may legitimately
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
index e2b0617d4..4429114ac 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
@@ -15,7 +15,7 @@ These are knowledge abstracts (`--kind knowledge`), with namespaced package
IDs distinct from explicitly selected `checkout_ref` skills. Ascend/CUDA
procedures use their corresponding backend; shared methods use `common`.
-Source snapshot: [bde70d82bb65cc2e5dcd0f9d33cda5d38091120b](https://github.com/InferMatrixLab/InferRSI/tree/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library).
+Source snapshot: [ebb4349ac4b24b520502278359b38fa919d59e84](https://github.com/InferMatrixLab/InferRSI/tree/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library).
```bash
inferrsi knowledge search 'profiling' --repo-type inferrsi --limit 50
@@ -29,7 +29,7 @@ contain the current input paths and bytes (Git checkout filters are respected).
```bash
python tools/build_skill_index.py --source-revision
-python tools/build_skill_index.py --source-revision bde70d82bb65cc2e5dcd0f9d33cda5d38091120b --check
+python tools/build_skill_index.py --source-revision ebb4349ac4b24b520502278359b38fa919d59e84 --check
```
`--check` detects missing, stale and unexpected generated records without writing.
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
index d1841646a..27fe09641 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
index 23c6a195c..2b3b237a2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
index 4d6cf119e..e17ae6aab 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
index 3baf8d822..0aaaf6abc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
index a4d9f4c2d..a40a2569d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
index 4513309da..940eed32c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
index 72287107b..4f4ffb99b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
index 3bc45c815..068e62772 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
index c8689ef9f..7aa8e07ec 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
index 3b0b531c8..88de1d745 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
index 100d6c8d2..f55f0cd1e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
index 78df33c6a..ee8be40e1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
index 3b974ef7f..8de912526 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
index bb789a376..fffcf318b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
index 9bfdef399..577676261 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:assess-serving-preemption",
"source_files": {
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md": "0a5f48d9352c5bf460775ef47f9136829978811f4a16e84983e299782cae305d",
- "src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json": "77ce5ba16245cbd80d46d0abdf80aaf26fc0924fa2d2a5624ff430de68a1daf0",
+ "src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json": "3e2cea37f5669e7c60f7c01c390a48ea960b15cbd6de8f5340cf8fe2afb9e1a1",
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/references/source-notes.md": "f29fcecfba0490008a354c11b42403983fe165e56ff907ad61cc6040d2b6407f",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -50,6 +50,27 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Diagnosing whether LLM serving queue delay justifies token-boundary priority preemption, including suspended KV, host swap or recomputation and long-request service guarantees; admission-versus-service-order diagnosis, not current scheduler implementation or tenant-fairness certification",
+ "prerequisites": "The packaged source notes are read before quoting a metric or comparing a baseline; installing, benchmarking, changing scheduling or admission, migrating state, editing a repository or running a reproduction needs a separately authorized task",
+ "input_contract": "The late boundary (first token, token gap, completion or a stated cohort's service) with its exact percentile or attainment target and denominator; model and KV format, engine revision, safe interruption boundary, request batch limit, input/output/context distributions, arrival bursts, device live/reserved/allocated bytes, active and suspended requests, host budget, transfer path, recovery time and queue/phase/service timings; per-tenant or priority-class obligations kept apart from aggregate latency",
+ "produced_artifact": "A read-only decision naming the observed failure boundary, the smallest candidate that addresses it, unchanged assumptions, missing evidence, resource cost, affected cohorts, counter-signal and next authorized gate, plus a proposed verification plan; not a validated configuration",
+ "failure_modes": [
+ "An ordinary iteration boundary is taken to permit interrupting a prefill halfway through",
+ "Unknown output length is treated as known from the prompt",
+ "KV is counted for the running batch only, omitting started requests that are suspended",
+ "Reservations are removed because some reserved capacity is not live",
+ "Recompute-based eviction is proposed without a progress invariant, so two jobs can repeatedly displace each other",
+ "Host-device copies or same-host IPC are charged to Network instead of their local resource"
+ ],
+ "refusal_point": "Withholds a preemption recommendation when the apparent gain can be explained by different kernels, unmatched parallelism or an incomparable latency metric; unknown safe boundaries, unsupported state recovery, uncalibrated timing or unclear service obligations are blockers"
+ },
+ "recommendations": [
+ "Name the late boundary and its exact target and denominator before choosing among batching, admission, preemption and state recovery.",
+ "Send prefill interference to choose-prefill-decode-schedule and physical KV slack to diagnose-kv-block-efficiency when those candidates are available; otherwise report the diagnosed boundary and the missing evidence.",
+ "In a later authorized test, isolate service ordering first and state recovery second, and evaluate their interaction only after both are understood.",
+ "Weigh FastServe's same-engine FCFS comparison above its historical-vLLM headline, and do not read its P95 aggregate gain as a starvation or tenant-fairness guarantee."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -59,10 +80,26 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Diagnosing whether LLM serving queue delay justifies token-boundary priority preemption, including suspended KV, host swap or recomputation and long-request service guarantees; admission-versus-service-order diagnosis, not current scheduler implementation or tenant-fairness certification",
+ "prerequisites": "The packaged source notes are read before quoting a metric or comparing a baseline; installing, benchmarking, changing scheduling or admission, migrating state, editing a repository or running a reproduction needs a separately authorized task",
+ "input_contract": "The late boundary (first token, token gap, completion or a stated cohort's service) with its exact percentile or attainment target and denominator; model and KV format, engine revision, safe interruption boundary, request batch limit, input/output/context distributions, arrival bursts, device live/reserved/allocated bytes, active and suspended requests, host budget, transfer path, recovery time and queue/phase/service timings; per-tenant or priority-class obligations kept apart from aggregate latency",
+ "produced_artifact": "A read-only decision naming the observed failure boundary, the smallest candidate that addresses it, unchanged assumptions, missing evidence, resource cost, affected cohorts, counter-signal and next authorized gate, plus a proposed verification plan; not a validated configuration",
+ "failure_modes": [
+ "An ordinary iteration boundary is taken to permit interrupting a prefill halfway through",
+ "Unknown output length is treated as known from the prompt",
+ "KV is counted for the running batch only, omitting started requests that are suspended",
+ "Reservations are removed because some reserved capacity is not live",
+ "Recompute-based eviction is proposed without a progress invariant, so two jobs can repeatedly displace each other",
+ "Host-device copies or same-host IPC are charged to Network instead of their local resource"
+ ],
+ "refusal_point": "Withholds a preemption recommendation when the apparent gain can be explained by different kernels, unmatched parallelism or an incomparable latency metric; unknown safe boundaries, unsupported state recovery, uncalibrated timing or unclear service obligations are blockers"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Name the late boundary and its exact target and denominator before choosing among batching, admission, preemption and state recovery.",
+ "Send prefill interference to choose-prefill-decode-schedule and physical KV slack to diagnose-kv-block-efficiency when those candidates are available; otherwise report the diagnosed boundary and the missing evidence.",
+ "In a later authorized test, isolate service ordering first and state recovery second, and evaluate their interaction only after both are understood.",
+ "Weigh FastServe's same-engine FCFS comparison above its historical-vLLM headline, and do not read its P95 aggregate gain as a starvation or tenant-fairness guarantee."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
index d944db3aa..6a210b9ef 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:assess-split-backward-schedule",
"source_files": {
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md": "1e64f28ea71672fb53c56f6108b87864738c6d03d6dcd32eedaef9e0625e96e3",
- "src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json": "c6acae57d70190cea0e18c71c79127962181e58169e011df75d8635b3db4daa7",
+ "src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json": "a089dd2c2e5a4b41e970e426c63b5b8f65acc77d2e5a40a44b38543b5d730a00",
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/references/source-notes.md": "61b1609f71c37b61d136b8c4d39f793de87cffb1cf31c8ec737a1c3fa6fb1b4e",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -49,6 +49,26 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Assessing memory-capped split-backward and V-shaped pipeline schedule proposals when a pipeline trace suggests input-gradient propagation waits behind deferrable weight-gradient work or an optimizer barrier, while preserving synchronous update, global-batch and optimizer-validation semantics",
+ "prerequisites": "The packaged evidence notes are read before citing the paper; installing or running frameworks, benchmarking schedules, changing training semantics, configuring hardware or modifying repositories needs separate authorization",
+ "input_contract": "Stage and microbatch counts, microbatch and global batch, precision, optimizer and clipping/NaN behavior; F, input-gradient B, weight-gradient W and transfer timings; per-pass retained and released bytes; total device peak and margin; collective ordering; kernel-splitting support; calculated bubble rate kept apart from measured idle time and useful samples/s",
+ "produced_artifact": "A candidate schedule and fallback with per-pass order rationale, peak-memory and transfer costs, unchanged semantic requirements, counter-signals and a future verification proposal; a reviewable plan, not an enabled schedule",
+ "failure_modes": [
+ "Completion of B is equated with releasing all activations, so W inputs retained by deferral go uncounted",
+ "The equal-time zero-bubble construction replaces observed F/B/W and transfer times, or kernel-splitting and synchronization overhead is left out",
+ "The schedule is chosen by minimum modeled bubble rate instead of whole-step throughput under the memory and quality constraint",
+ "pMB activation capacity is read as total memory, hiding HBM, workspace, buffers or per-rank imbalance",
+ "Removing the optimizer barrier drops global norm, clipping or NaN decisions, rollback and re-update, or the correctness of work that depends on a tentative update",
+ "Optimizer post-validation is conflated with accepting stale-gradient delayed updates"
+ ],
+ "refusal_point": "Withholds an enablement recommendation under frequent clipping/NaNs, small available memory, strongly unequal passes, unsupported split kernels, hidden collectives or dynamic shapes, and retains the synchronized fallback while optimizer reversibility and rollback coverage are unverified"
+ },
+ "recommendations": [
+ "Compare ordinary 1F1B with a memory-capped split schedule first; add V-shaped two-chunk placement only when memory permits, and at matched global batch also try smaller microbatches with more microbatches.",
+ "Decide optimizer post-validation separately from the schedule change.",
+ "In a later authorized comparison, hold model, global batch and precision fixed and compare real with calculated idle intervals."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -58,10 +78,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Assessing memory-capped split-backward and V-shaped pipeline schedule proposals when a pipeline trace suggests input-gradient propagation waits behind deferrable weight-gradient work or an optimizer barrier, while preserving synchronous update, global-batch and optimizer-validation semantics",
+ "prerequisites": "The packaged evidence notes are read before citing the paper; installing or running frameworks, benchmarking schedules, changing training semantics, configuring hardware or modifying repositories needs separate authorization",
+ "input_contract": "Stage and microbatch counts, microbatch and global batch, precision, optimizer and clipping/NaN behavior; F, input-gradient B, weight-gradient W and transfer timings; per-pass retained and released bytes; total device peak and margin; collective ordering; kernel-splitting support; calculated bubble rate kept apart from measured idle time and useful samples/s",
+ "produced_artifact": "A candidate schedule and fallback with per-pass order rationale, peak-memory and transfer costs, unchanged semantic requirements, counter-signals and a future verification proposal; a reviewable plan, not an enabled schedule",
+ "failure_modes": [
+ "Completion of B is equated with releasing all activations, so W inputs retained by deferral go uncounted",
+ "The equal-time zero-bubble construction replaces observed F/B/W and transfer times, or kernel-splitting and synchronization overhead is left out",
+ "The schedule is chosen by minimum modeled bubble rate instead of whole-step throughput under the memory and quality constraint",
+ "pMB activation capacity is read as total memory, hiding HBM, workspace, buffers or per-rank imbalance",
+ "Removing the optimizer barrier drops global norm, clipping or NaN decisions, rollback and re-update, or the correctness of work that depends on a tentative update",
+ "Optimizer post-validation is conflated with accepting stale-gradient delayed updates"
+ ],
+ "refusal_point": "Withholds an enablement recommendation under frequent clipping/NaNs, small available memory, strongly unequal passes, unsupported split kernels, hidden collectives or dynamic shapes, and retains the synchronized fallback while optimizer reversibility and rollback coverage are unverified"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Compare ordinary 1F1B with a memory-capped split schedule first; add V-shaped two-chunk placement only when memory permits, and at matched global batch also try smaller microbatches with more microbatches.",
+ "Decide optimizer post-validation separately from the schedule change.",
+ "In a later authorized comparison, hold model, global batch and precision fixed and compare real with calculated idle intervals."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
index fbb2c1a4c..e9c0dca10 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
@@ -20,8 +20,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json",
@@ -37,7 +37,7 @@
"checkout_ref": "checkout:audit-fixed-workload-claim",
"source_files": {
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md": "2be89b1340a3deb978c8e1792d18aeecbe8f5de81d4daf542389f53826b8ebee",
- "src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json": "81edd75fa16939807548d0944e9203cfd7c0cb17e63463872d96ca2c1273d1d8",
+ "src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json": "d36e8a6148b7ab830f1ddf6e573a865965502709a835ce460c37e3d4c386de95",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -53,14 +53,47 @@
"measurement"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Auditing a performance claim against supplied fixed-workload reports and an explicit measurement contract: aggregation, retained observations, comparability and quality evidence",
+ "input_contract": "Baseline and candidate fixed-workload reports with request observations grouped by trial and workload; the measurement contract stating metric, unit, timing boundary, improvement direction, aggregation rule and order, fixed exclusions, threshold and comparison operator; the declared quality and completion evidence; the requested output schema",
+ "produced_artifact": "An audit conclusion showing baseline and candidate aggregates, the calculation, the threshold comparison and the evidence or missing information that controls the verdict; it interprets supplied evidence and does not itself establish a measured improvement",
+ "failure_modes": [
+ "A pooled request median silently replaces a median of per-trial means, or the reverse, reweighting trials whose request counts differ",
+ "Late requests, failures or outliers are dropped, or requests move between trials, outside the exclusions the contract fixes",
+ "Values are rounded before the threshold comparison",
+ "A missing rule that permits different verdicts is resolved toward the favorable one",
+ "A speed improvement is read as task success, or a quality pass as equivalent measured work",
+ "Different workloads or incomplete observations are repaired by a favorable aggregate"
+ ],
+ "refusal_point": "Does not replace missing evidence with a pass, does not support a percentage claim on an undefined denominator, and does not launch a new benchmark or alter the contract to resolve an unfavorable result; a failed threshold is reported apart from an unverified comparison or missing quality evidence"
+ },
+ "recommendations": [
+ "Recover the contract's metric, direction, aggregation order and comparison operator before reading the report's own verdict.",
+ "Treat a named minimum bound as >= and a maximum bound as <= unless the contract requires a strict comparison.",
+ "Keep separate regimes and metrics separate unless the contract defines their aggregation."
+ ],
"limitations": [
"Guidance for supplied reports; no local efficacy validation or measured performance gain is established."
]
},
- "applicability": {},
+ "applicability": {
+ "scope": "Auditing a performance claim against supplied fixed-workload reports and an explicit measurement contract: aggregation, retained observations, comparability and quality evidence",
+ "input_contract": "Baseline and candidate fixed-workload reports with request observations grouped by trial and workload; the measurement contract stating metric, unit, timing boundary, improvement direction, aggregation rule and order, fixed exclusions, threshold and comparison operator; the declared quality and completion evidence; the requested output schema",
+ "produced_artifact": "An audit conclusion showing baseline and candidate aggregates, the calculation, the threshold comparison and the evidence or missing information that controls the verdict; it interprets supplied evidence and does not itself establish a measured improvement",
+ "failure_modes": [
+ "A pooled request median silently replaces a median of per-trial means, or the reverse, reweighting trials whose request counts differ",
+ "Late requests, failures or outliers are dropped, or requests move between trials, outside the exclusions the contract fixes",
+ "Values are rounded before the threshold comparison",
+ "A missing rule that permits different verdicts is resolved toward the favorable one",
+ "A speed improvement is read as task success, or a quality pass as equivalent measured work",
+ "Different workloads or incomplete observations are repaired by a favorable aggregate"
+ ],
+ "refusal_point": "Does not replace missing evidence with a pass, does not support a percentage claim on an undefined denominator, and does not launch a new benchmark or alter the contract to resolve an unfavorable result; a failed threshold is reported apart from an unverified comparison or missing quality evidence"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Recover the contract's metric, direction, aggregation order and comparison operator before reading the report's own verdict.",
+ "Treat a named minimum bound as >= and a maximum bound as <= unless the contract requires a strict comparison.",
+ "Keep separate regimes and metrics separate unless the contract defines their aggregation."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
index 6e2fcbedc..519a36f7f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
index 6fe9c3504..49bb8721b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
index a690d3eb5..cfebf9e43 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
index 8fd55bb5f..a43157dab 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
index 0821a7d0e..5cb24da78 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
index cd18a9077..981ef0412 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/LICENSE",
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
index f8959efe9..465a93157 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
index 7ca1325d7..ac0ea8172 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
"src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
index 6cca85b49..de510d657 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
"src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
index 1caf6afaf..b0c11db29 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:calibrate-serving-simulation",
"source_files": {
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md": "ac773c6f1c110a664dfca28a3ae9129b10c07614e60ca3640dea776220e7b352",
- "src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json": "261ce9f644ea6eebb90c830f41fb8b320d2b401456e5bd8d494095a44b8620d0",
+ "src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json": "96771fb6fecf5fc7773bb7cf84038d8eaf436add1a0362dc26110c82037f8320",
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/references/source-notes.md": "9696d3c0ef96b6611787446bd6f96d4d6255ca8d107105de8c1d9af83edb9fa5",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -63,6 +63,26 @@
"readset": "references/source-notes.md"
}
],
+ "applicability": {
+ "scope": "Building an evidence-gated serving-configuration shortlist when a profiled simulator or cost model is proposed to reduce deployment experiments; extends performance-ceiling-analysis, optimization-search-policy and inference-benchmark-design without replacing their ceilings or measurement contract",
+ "prerequisites": "The packaged Vidur evidence and evidence-type notes are read; reading the skill does not authorize execution, and no validation check runs under it without separate execution authorization",
+ "input_contract": "Model, shape and dtype; actual kernel/runtime revision; graph mode; GPU, host and topology; request length and arrival distribution; total resources and cost basis; memory limits; latency definitions and percentile SLOs",
+ "produced_artifact": "A bounded decision memo with input identities, model assumptions, evidence type, exact metrics and denominators, unsupported dimensions, nondominated candidates with predicted ranges, joint constraint checks, the next discriminating trial and rollback/finalization requirements, keeping prediction and measurement columns apart; a shortlist for future measurement, not a measured result",
+ "failure_modes": [
+ "Learned runtime output is labeled a physical bound",
+ "A missing identity is filled with a paper default, or topology is substituted, instead of being marked unknown",
+ "A low-load check stands in for an SLO claim at the intended load regime and capacity boundary",
+ "A predictor that relies on summed KV volume hides batches with equal volume but unequal context distributions",
+ "Capacity binary search is applied without verifying its monotonic/stationary premise or treating overloaded samples explicitly",
+ "One predicted winner is reported when uncertainty exceeds rank separation"
+ ],
+ "refusal_point": "Stops predictive certification when profiles are missing, topology is substituted, error grows near capacity or host overhead is omitted; labels an ordering unresolved when uncertainty exceeds rank separation; asserts neither universal error below 9% nor current vLLM, asynchronous PP or NPU support from the historical simulator paper"
+ },
+ "recommendations": [
+ "Classify every estimate as a physical bound, measured envelope, Amdahl-style conditional impact or empirical prediction before comparing configurations.",
+ "Keep prefill and decode separate in the operator signatures, and record how sharding and memory planning enter the model.",
+ "Recalibrate after workload drift, kernel/graph/runtime changes, new hardware or topology, or mismatched residuals."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation."
],
@@ -71,10 +91,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Building an evidence-gated serving-configuration shortlist when a profiled simulator or cost model is proposed to reduce deployment experiments; extends performance-ceiling-analysis, optimization-search-policy and inference-benchmark-design without replacing their ceilings or measurement contract",
+ "prerequisites": "The packaged Vidur evidence and evidence-type notes are read; reading the skill does not authorize execution, and no validation check runs under it without separate execution authorization",
+ "input_contract": "Model, shape and dtype; actual kernel/runtime revision; graph mode; GPU, host and topology; request length and arrival distribution; total resources and cost basis; memory limits; latency definitions and percentile SLOs",
+ "produced_artifact": "A bounded decision memo with input identities, model assumptions, evidence type, exact metrics and denominators, unsupported dimensions, nondominated candidates with predicted ranges, joint constraint checks, the next discriminating trial and rollback/finalization requirements, keeping prediction and measurement columns apart; a shortlist for future measurement, not a measured result",
+ "failure_modes": [
+ "Learned runtime output is labeled a physical bound",
+ "A missing identity is filled with a paper default, or topology is substituted, instead of being marked unknown",
+ "A low-load check stands in for an SLO claim at the intended load regime and capacity boundary",
+ "A predictor that relies on summed KV volume hides batches with equal volume but unequal context distributions",
+ "Capacity binary search is applied without verifying its monotonic/stationary premise or treating overloaded samples explicitly",
+ "One predicted winner is reported when uncertainty exceeds rank separation"
+ ],
+ "refusal_point": "Stops predictive certification when profiles are missing, topology is substituted, error grows near capacity or host overhead is omitted; labels an ordering unresolved when uncertainty exceeds rank separation; asserts neither universal error below 9% nor current vLLM, asynchronous PP or NPU support from the historical simulator paper"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Classify every estimate as a physical bound, measured envelope, Amdahl-style conditional impact or empirical prediction before comparing configurations.",
+ "Keep prefill and decode separate in the operator signatures, and record how sharding and memory planning enter the model.",
+ "Recalibrate after workload drift, kernel/graph/runtime changes, new hardware or topology, or mismatched residuals."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
index 1429dd4f6..a245861a4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
index ce7c6e5c7..c114a0308 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json",
@@ -41,7 +41,7 @@
"checkout_ref": "checkout:checkpoint-recovery-consistency",
"source_files": {
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md": "6b7db1eb2780dec27858cb7aa0a3c093c5b5dfa4c30261aebfeaa255213ff688",
- "src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json": "4dc8659806539b4784ea9348a01d4194ac70d0bb297a916f90ff6419efa5c328",
+ "src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json": "4185ff9f8b4c06d2a984753127780f29ceebf50d87b225a7697bfecccc2a4a60",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/references/dlrover-persistence-replicas.md": "055f4357f79026fcbcc766bbe77db610376ec353623f8898f5d14a30ee69e7bc",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/references/sources.md": "9425b1aab963a2c8d35f3db897bd15ee69699bf5b0d0c8425c3c8bba3e9a0233",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
@@ -64,6 +64,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Assessing distributed checkpoint recovery through DLRover memory agreement, persistence completion and replica transport, and NVIDIA Resiliency Extension complete-iteration selection; distinguishes worker, host and replica loss and separates queued saves, publication, application-state validity and durable recovery. Save performance belongs to dcp-async-save-performance",
+ "prerequisites": "The pinned sources and limits are read; reading authorizes no launchers, failure injection or checkpoint loading, and restore evidence needs separate authorization",
+ "input_contract": "The declared failure domain; actual memory, storage and replica placement and helper lifetime; step or iteration identity, the expected shard/rank set and finalization result; the application's model, optimizer and caller-required RNG/scheduler/data-position state contract; the target environment's format and world-size/replication assumptions",
+ "produced_artifact": "An answer to each of the four acceptance questions (snapshot survival, cross-participant completeness, application-state completeness, restorability) at its own evidence level, a proposed per-generation recovery evidence record including errors and skipped saves, and a proposed verification split by worker, host, replica and persistent-storage loss; no recovery success, durability, NPU support or measured gain",
+ "failure_modes": [
+ "Equal steps or complete rank IDs are taken to verify tensor contents or whole application semantics",
+ "A skipped save, where not every participant acquired shared-memory access, is reported as a new recovery point",
+ "A returned step paired with an empty state dictionary is read as a successful restore",
+ "A local maximum filename or one clean shard substitutes for global coverage",
+ "The .dirty-then-rename publication is read as power-loss durability",
+ "An asynchronous save request is treated as a completed checkpoint, or queue concurrency is assumed unlimited",
+ "One failure domain is tested and recovery from all of them is claimed"
+ ],
+ "refusal_point": "Claims no recovery success, durability, NPU support or measured gain, does not upgrade allocation, metadata or a completed collective into proven recovery, and neither injects failures nor authorizes them"
+ },
+ "recommendations": [
+ "Answer the four acceptance questions separately; record each at its own evidence level.",
+ "Count replication as added availability only when copies occupy independent failure domains, and budget clean, dirty and replicated shards on each host.",
+ "Keep the one-outstanding asynchronous save restriction until the target queue version is checked.",
+ "Send save-throughput questions to dcp-async-save-performance; a faster return or higher write throughput does not establish recoverability."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -73,10 +95,27 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Assessing distributed checkpoint recovery through DLRover memory agreement, persistence completion and replica transport, and NVIDIA Resiliency Extension complete-iteration selection; distinguishes worker, host and replica loss and separates queued saves, publication, application-state validity and durable recovery. Save performance belongs to dcp-async-save-performance",
+ "prerequisites": "The pinned sources and limits are read; reading authorizes no launchers, failure injection or checkpoint loading, and restore evidence needs separate authorization",
+ "input_contract": "The declared failure domain; actual memory, storage and replica placement and helper lifetime; step or iteration identity, the expected shard/rank set and finalization result; the application's model, optimizer and caller-required RNG/scheduler/data-position state contract; the target environment's format and world-size/replication assumptions",
+ "produced_artifact": "An answer to each of the four acceptance questions (snapshot survival, cross-participant completeness, application-state completeness, restorability) at its own evidence level, a proposed per-generation recovery evidence record including errors and skipped saves, and a proposed verification split by worker, host, replica and persistent-storage loss; no recovery success, durability, NPU support or measured gain",
+ "failure_modes": [
+ "Equal steps or complete rank IDs are taken to verify tensor contents or whole application semantics",
+ "A skipped save, where not every participant acquired shared-memory access, is reported as a new recovery point",
+ "A returned step paired with an empty state dictionary is read as a successful restore",
+ "A local maximum filename or one clean shard substitutes for global coverage",
+ "The .dirty-then-rename publication is read as power-loss durability",
+ "An asynchronous save request is treated as a completed checkpoint, or queue concurrency is assumed unlimited",
+ "One failure domain is tested and recovery from all of them is claimed"
+ ],
+ "refusal_point": "Claims no recovery success, durability, NPU support or measured gain, does not upgrade allocation, metadata or a completed collective into proven recovery, and neither injects failures nor authorizes them"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Answer the four acceptance questions separately; record each at its own evidence level.",
+ "Count replication as added availability only when copies occupy independent failure domains, and budget clean, dirty and replicated shards on each host.",
+ "Keep the one-outstanding asynchronous save restriction until the target queue version is checked.",
+ "Send save-throughput questions to dcp-async-save-performance; a faster return or higher write throughput does not establish recoverability."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
index e94c12016..b6ed61ed4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:choose-parallel-training-plan",
"source_files": {
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md": "25d04aed9782b2a8ff1186828becdc7fce93c4418039ceaef9b8dcc5ec9bcd24",
- "src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json": "c6acae57d70190cea0e18c71c79127962181e58169e011df75d8635b3db4daa7",
+ "src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json": "4990d0a2f1a269111a680f45a5d91221af37e3f8b3ce514fea84e97878e767cd",
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/references/source-notes.md": "9f9184d46b19312138a6e805e439e43dc0594a0cc6b46675255a582dc946ca5b",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -49,6 +49,26 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Comparing stage, device-mesh and operator-sharding candidates for static distributed training when heterogeneous stage memory or work, or communication cost, makes a uniform data/tensor/pipeline plan suspect; derived from historical Alpa, not a current compiler configuration guide",
+ "prerequisites": "The packaged source notes are read; the skill authorizes no compiler or solver install or run, parallelism reconfiguration, repository edit, hardware task or benchmark",
+ "input_contract": "Model operator graph and shapes; global batch, microbatch and accumulation; precision and optimizer; physical links and contention; candidate shard layouts; stage latency, workspace and in-flight activation memory; the objective and expected run length. A device count without topology is insufficient",
+ "produced_artifact": "The best supported candidate and a simpler fallback with a memory and critical-path ledger, planning cost and amortization, semantic invariants, counter-signals, missing evidence and a proposed matched comparison; a plan, not a reconfiguration",
+ "failure_modes": [
+ "Equal arithmetic work is taken to mean equal kernel time, carrying over Alpa's zero compute-cost simplification",
+ "Mean memory replaces the largest per-rank peak with multiple in-flight activation sets",
+ "Inter-stage transfer and microbatch count stay outside the objective, as in historical Alpa, without the gap being reported",
+ "Repeated slow-link sends to replicated destination tiles are not compared with one cross-mesh transfer plus local allgather",
+ "Inter-node Network traffic is merged with intra-node accelerator links",
+ "Static cost estimates are applied to dynamic shapes, asymmetric devices or changing communication contention"
+ ],
+ "refusal_point": "Rejects infeasible stage/mesh pairs, claims no global optimality outside the declared search space, and stops at the plan in paper-only mode"
+ },
+ "recommendations": [
+ "Keep a simple reference plan with the same training semantics and global batch as the comparison point.",
+ "Separate fixed-model scaling from model-size weak scaling before quoting a speedup; Alpa's 9.7x MoE ratio belongs to a specific weak-scaling workload, baseline and 25-Gbps cluster.",
+ "Weigh planning cost against the expected run length; a shorter job may not amortize it."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -58,10 +78,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Comparing stage, device-mesh and operator-sharding candidates for static distributed training when heterogeneous stage memory or work, or communication cost, makes a uniform data/tensor/pipeline plan suspect; derived from historical Alpa, not a current compiler configuration guide",
+ "prerequisites": "The packaged source notes are read; the skill authorizes no compiler or solver install or run, parallelism reconfiguration, repository edit, hardware task or benchmark",
+ "input_contract": "Model operator graph and shapes; global batch, microbatch and accumulation; precision and optimizer; physical links and contention; candidate shard layouts; stage latency, workspace and in-flight activation memory; the objective and expected run length. A device count without topology is insufficient",
+ "produced_artifact": "The best supported candidate and a simpler fallback with a memory and critical-path ledger, planning cost and amortization, semantic invariants, counter-signals, missing evidence and a proposed matched comparison; a plan, not a reconfiguration",
+ "failure_modes": [
+ "Equal arithmetic work is taken to mean equal kernel time, carrying over Alpa's zero compute-cost simplification",
+ "Mean memory replaces the largest per-rank peak with multiple in-flight activation sets",
+ "Inter-stage transfer and microbatch count stay outside the objective, as in historical Alpa, without the gap being reported",
+ "Repeated slow-link sends to replicated destination tiles are not compared with one cross-mesh transfer plus local allgather",
+ "Inter-node Network traffic is merged with intra-node accelerator links",
+ "Static cost estimates are applied to dynamic shapes, asymmetric devices or changing communication contention"
+ ],
+ "refusal_point": "Rejects infeasible stage/mesh pairs, claims no global optimality outside the declared search space, and stops at the plan in paper-only mode"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Keep a simple reference plan with the same training semantics and global batch as the comparison point.",
+ "Separate fixed-model scaling from model-size weak scaling before quoting a speedup; Alpa's 9.7x MoE ratio belongs to a specific weak-scaling workload, baseline and 25-Gbps cluster.",
+ "Weigh planning cost against the expected run length; a shorter job may not amortize it."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
index f37b7765e..9f87077f9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
index f39ac4b29..778cf7715 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
index e6475bf57..42f9cacfd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/comfy-ui/LICENSE",
"src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
index 8cd803b37..db110ed5a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
index aa309c547..4f1a9f715 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
index 60d8c1c02..3139b0ace 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json",
@@ -38,7 +38,7 @@
"checkout_ref": "checkout:dense-performance-evidence",
"source_files": {
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md": "53cc1867a13f54d1006d50517dea8848869ca50df3f0cd610b2424cc8d18c933",
- "src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json": "a0d1e3b17140295510a764045d1b222e19be3a3406e6d1e7dddaad49ff474490",
+ "src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json": "041780985dcaf76809d29dc0d4e242359b17b6bcfaadab2d05674fa4699a5427",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -58,6 +58,26 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Deciding which performance evidence to collect next and which claim each evidence level supports, from correctness through microbenchmark, component profile, isolated scenario benchmark and multi-regime serving benchmark to a production A/B experiment; also structuring a measurement campaign",
+ "prerequisites": "Level 0 correctness evidence is collected before any performance measurement; a Level 5 experiment needs production infrastructure, traffic splitting and statistical power",
+ "input_contract": "The claim to be made or the question to answer, and the evidence already collected with its level, workload, hardware/software context and controls",
+ "produced_artifact": "The minimum evidence level each claim requires, the next evidence to collect under the escalation rule, and negative-result records with hypothesis, evidence level, the metric that did not improve, context and the reason if known; a classification of evidence, not a measurement",
+ "failure_modes": [
+ "An md5 match or a test pass is read as semantically correct output or as support for a performance claim",
+ "A microbenchmark improvement is reported as an inference throughput gain",
+ "Absolute kernel durations or single collective latencies are compared across devices or sessions",
+ "A win on one fixed workload or concurrency is generalized to production traffic",
+ "Worse metrics, per-task regressions or negative results are discarded, or a shared task budget is taken as equal total cost"
+ ],
+ "refusal_point": "Withholds any claim above the level its evidence reaches, leaves an unresolved source protocol or denominator mismatch unresolved, and lets neither upstream scores nor local packaging checks promote an InferRSI candidate"
+ },
+ "recommendations": [
+ "Collect Level 0 first and profile at Level 2 before implementing; escalate to Level 3 only after a promising Level 2 result, and to Level 4 only after a Level 3 win worth validating across regimes.",
+ "Collect a Level 1 microbenchmark only for an isolated-kernel question after Level 2 has confirmed that kernel is on the critical path.",
+ "For a Level 1 claim, pin input shape and dtype, exclude warmup, synchronize before timing, run at least 10 repetitions and report median and IQR; for a Level 3 claim, match hardware, software stack, model revision and inputs, run at least 3 repetitions and alternate A/B/A order.",
+ "Read the admission/drain occupancy case when interpreting finite service cohorts; phase-selected occupancy is not end-to-end gain."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -69,10 +89,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Deciding which performance evidence to collect next and which claim each evidence level supports, from correctness through microbenchmark, component profile, isolated scenario benchmark and multi-regime serving benchmark to a production A/B experiment; also structuring a measurement campaign",
+ "prerequisites": "Level 0 correctness evidence is collected before any performance measurement; a Level 5 experiment needs production infrastructure, traffic splitting and statistical power",
+ "input_contract": "The claim to be made or the question to answer, and the evidence already collected with its level, workload, hardware/software context and controls",
+ "produced_artifact": "The minimum evidence level each claim requires, the next evidence to collect under the escalation rule, and negative-result records with hypothesis, evidence level, the metric that did not improve, context and the reason if known; a classification of evidence, not a measurement",
+ "failure_modes": [
+ "An md5 match or a test pass is read as semantically correct output or as support for a performance claim",
+ "A microbenchmark improvement is reported as an inference throughput gain",
+ "Absolute kernel durations or single collective latencies are compared across devices or sessions",
+ "A win on one fixed workload or concurrency is generalized to production traffic",
+ "Worse metrics, per-task regressions or negative results are discarded, or a shared task budget is taken as equal total cost"
+ ],
+ "refusal_point": "Withholds any claim above the level its evidence reaches, leaves an unresolved source protocol or denominator mismatch unresolved, and lets neither upstream scores nor local packaging checks promote an InferRSI candidate"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Collect Level 0 first and profile at Level 2 before implementing; escalate to Level 3 only after a promising Level 2 result, and to Level 4 only after a Level 3 win worth validating across regimes.",
+ "Collect a Level 1 microbenchmark only for an isolated-kernel question after Level 2 has confirmed that kernel is on the critical path.",
+ "For a Level 1 claim, pin input shape and dtype, exclude warmup, synchronize before timing, run at least 10 repetitions and report median and IQR; for a Level 3 claim, match hardware, software stack, model revision and inputs, run at least 3 repetitions and alternate A/B/A order.",
+ "Read the admission/drain occupancy case when interpreting finite service cohorts; phase-selected occupancy is not end-to-end gain."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
index 5cf0a0aa3..c8dbd6de4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
index f706019fc..113746638 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
index 35c1146f7..54812d66b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
index b60d6e126..b25c1d5bb 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/dwarfstar/LICENSE",
"src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
index 701eedf8b..fa0a8ca90 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:evaluate-elastic-serving-placement",
"source_files": {
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md": "82d0099d3c33706f46c657d4fa7f76d3d486e019b36760d1de001921328a60cc",
- "src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json": "37379a4d4a058ca46da2b20a920dc01be9ec11e557c32b2332702ec76027f4b5",
+ "src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json": "091a3b95d1a8996b5ad917e7948efb4ed598e31c7163709377f8e9199cebfe26",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/references/source-notes.md": "ea416831fd7d0874e06d0a76fb0c7196df53072b717673a0cdf635db6bfd917b",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -50,6 +50,26 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Comparing migration of a running LLM request between compatible model replicas with changing its sequence-parallel execution group, including state-copy, reservation, recomputation, interruption and priority costs, for cross-instance memory imbalance or highly variable long-context serving; not connector wiring or live scaling",
+ "prerequisites": "The relevant Llumnix or LoongServe branch and its readset in the packaged source notes are read; moving state, altering admission or priority, scaling replicas, changing parallelism, running experiments or editing frameworks needs separate authorization",
+ "input_contract": "Exact model and cache identity and format; weight residency; request phase, context and generated length; source and destination KV bytes; physical free/reserved memory and virtual accounting; batch state; current parallel group; queue and service times; actual topology and transport for each path; the target SLO statistic and affected priority or tenant cohorts",
+ "produced_artifact": "The smallest justified branch with missing capability or evidence, expected saved work or wait, added state, traffic and replica cost, affected SLO and cohorts, counter-signals, the proposed next gate and a future verification plan; an evidence-based recommendation, not a validated deployment rule",
+ "failure_modes": [
+ "Model-weight repartitioning, pipeline configuration, instance migration and sequence sharding are treated as interchangeable uses of parallelism",
+ "Aggregate free bytes are taken to mean a single blocked request fits, conflating internal KV-block slack with cross-instance fragmentation",
+ "Llumnix's 20-30 ms measured downtime is substituted for total transfer time",
+ "Virtual headroom is counted as extra memory or as a tenant-fairness guarantee",
+ "A zero-overhead transition label is read as every group change being free, or a token sum hides length-sensitive attention work",
+ "Ongoing distributed-attention communication goes uncharged because existing KV does not migrate"
+ ],
+ "refusal_point": "Withholds the candidate when every destination is full, pre-copy catch-up is unproven, model or cache compatibility is unknown, or the measured work saved does not exceed exposed costs; current-code review and target-system tests remain a later authorization gate"
+ },
+ "recommendations": [
+ "Decide first whether the question is replica relocation, a sequence-parallel group change, or prefix reuse and phase pools, which evaluate-kv-cache-transfer-gates and choose-prefill-decode-schedule cover when available.",
+ "Name each transfer path separately; only inter-node transport is Network.",
+ "Keep a feasible static, no-migration baseline in any later comparison."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -59,10 +79,25 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Comparing migration of a running LLM request between compatible model replicas with changing its sequence-parallel execution group, including state-copy, reservation, recomputation, interruption and priority costs, for cross-instance memory imbalance or highly variable long-context serving; not connector wiring or live scaling",
+ "prerequisites": "The relevant Llumnix or LoongServe branch and its readset in the packaged source notes are read; moving state, altering admission or priority, scaling replicas, changing parallelism, running experiments or editing frameworks needs separate authorization",
+ "input_contract": "Exact model and cache identity and format; weight residency; request phase, context and generated length; source and destination KV bytes; physical free/reserved memory and virtual accounting; batch state; current parallel group; queue and service times; actual topology and transport for each path; the target SLO statistic and affected priority or tenant cohorts",
+ "produced_artifact": "The smallest justified branch with missing capability or evidence, expected saved work or wait, added state, traffic and replica cost, affected SLO and cohorts, counter-signals, the proposed next gate and a future verification plan; an evidence-based recommendation, not a validated deployment rule",
+ "failure_modes": [
+ "Model-weight repartitioning, pipeline configuration, instance migration and sequence sharding are treated as interchangeable uses of parallelism",
+ "Aggregate free bytes are taken to mean a single blocked request fits, conflating internal KV-block slack with cross-instance fragmentation",
+ "Llumnix's 20-30 ms measured downtime is substituted for total transfer time",
+ "Virtual headroom is counted as extra memory or as a tenant-fairness guarantee",
+ "A zero-overhead transition label is read as every group change being free, or a token sum hides length-sensitive attention work",
+ "Ongoing distributed-attention communication goes uncharged because existing KV does not migrate"
+ ],
+ "refusal_point": "Withholds the candidate when every destination is full, pre-copy catch-up is unproven, model or cache compatibility is unknown, or the measured work saved does not exceed exposed costs; current-code review and target-system tests remain a later authorization gate"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Decide first whether the question is replica relocation, a sequence-parallel group change, or prefix reuse and phase pools, which evaluate-kv-cache-transfer-gates and choose-prefill-decode-schedule cover when available.",
+ "Name each transfer path separately; only inter-node transport is Network.",
+ "Keep a feasible static, no-migration baseline in any later comparison."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
index b1f38ce58..aef0b3742 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
index 35039c25e..15975dba8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
index 5e56342b1..ff98d3a26 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
index f88743bb3..523f561ad 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
"src/inferrsi/data/skill_library/repositories/husky/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
index 89a2500c9..e6bf1c91f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json",
@@ -49,7 +49,7 @@
"checkout_ref": "checkout:inference-benchmark-design",
"source_files": {
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md": "59b5656e7d989b3cee8d6f95cd43be03053b1fb11c3a82bb49ab3d402f7aacee",
- "src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json": "18310402a8ade03fd48ac687f79ba9d447871e90337de84c0e1bc15c0b827306",
+ "src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json": "d51b5b3600d13b38c2adbf6c6e149c7375c9f1db12bc078679cab67a32a3e9a7",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/benchmark-commands.md": "0898424e0bff3a6246e1eeeda6abd6c5bd974c047fe32f3bbd5ab9d31ce17cd3",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/references/task-benchmark-selection.md": "0d4bb080a754e26846e81680023db0dff5e6a4c96be4327c411c3b72ac4ef8e2",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
@@ -200,6 +200,28 @@
}
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Selecting task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, TTS, full-duplex audio/video, image and video inference, and designing goodput-based multi-regime comparisons that fit InferRSI's evidence trail",
+ "prerequisites": "The primary objective, timing boundary, quality gates, sample/failure accounting, required regimes, repetitions, seeds and decision rule are frozen before optimization; baseline and candidate share hardware, software stack, input distribution, benchmark configuration, warmup and measurement protocol, and on a shared machine also one time window and dedicated devices",
+ "input_contract": "The task family and deployment use case; candidate quality evaluators and reference parity; the declared SLO and the caller's policy on which regimes must improve or must not regress; for an audit, a supplied fixed-workload report with request-to-trial grouping, exclusion and failure counts and the declared aggregation rule",
+ "produced_artifact": "A frozen benchmark design with evaluators, reference parity, primary objective, timing boundary, quality gates, required regimes, repetition and seed rules and an explicit decision config, plus the evidence-tree layout a PASS claim must produce; for a supplied report, the computed threshold result and missing evidence. Candidate knowledge, not qualification of any model or backend",
+ "failure_modes": [
+ "Raw throughput is optimized in place of goodput, so requests served outside the SLO count toward a win",
+ "One concurrency level or one undisclosed aggregate score stands in for all required regimes",
+ "Recorded agent task scores or replay completion are read as current task success, or a VBench prompt workload as computed VBench quality",
+ "An upstream better/worse/inconclusive label is used as InferRSI's PASS/FAIL/INCONCLUSIVE verdict",
+ "Runs on the same hardware class, in different time windows or on shared devices are compared as if pinned",
+ "A quality pass is taken to certify that the timed work actually occurred",
+ "Best-seen results are reported as delivered without restarting and validating the final code/config artifact"
+ ],
+ "refusal_point": "Records missing coverage and high-variance results as INCONCLUSIVE rather than a win; a run without a frozen RunSpec, or whose validator changed after the plan was frozen, is INCONCLUSIVE regardless of metric values; sets no universal numeric gate or noise threshold"
+ },
+ "recommendations": [
+ "Freeze one primary objective, timing boundary, quality gates and sample/failure accounting before optimization.",
+ "Choose the required regimes from the deployment use case, report each separately, and record which must improve or must not regress in a versioned decision config.",
+ "Use the replay trace that matches the actual deployment pattern.",
+ "State the concurrency, trace, model, SKU and microbenchmark scope boundaries in any report that cites benchmark results."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets.",
@@ -216,10 +238,27 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Selecting task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents, TTS, full-duplex audio/video, image and video inference, and designing goodput-based multi-regime comparisons that fit InferRSI's evidence trail",
+ "prerequisites": "The primary objective, timing boundary, quality gates, sample/failure accounting, required regimes, repetitions, seeds and decision rule are frozen before optimization; baseline and candidate share hardware, software stack, input distribution, benchmark configuration, warmup and measurement protocol, and on a shared machine also one time window and dedicated devices",
+ "input_contract": "The task family and deployment use case; candidate quality evaluators and reference parity; the declared SLO and the caller's policy on which regimes must improve or must not regress; for an audit, a supplied fixed-workload report with request-to-trial grouping, exclusion and failure counts and the declared aggregation rule",
+ "produced_artifact": "A frozen benchmark design with evaluators, reference parity, primary objective, timing boundary, quality gates, required regimes, repetition and seed rules and an explicit decision config, plus the evidence-tree layout a PASS claim must produce; for a supplied report, the computed threshold result and missing evidence. Candidate knowledge, not qualification of any model or backend",
+ "failure_modes": [
+ "Raw throughput is optimized in place of goodput, so requests served outside the SLO count toward a win",
+ "One concurrency level or one undisclosed aggregate score stands in for all required regimes",
+ "Recorded agent task scores or replay completion are read as current task success, or a VBench prompt workload as computed VBench quality",
+ "An upstream better/worse/inconclusive label is used as InferRSI's PASS/FAIL/INCONCLUSIVE verdict",
+ "Runs on the same hardware class, in different time windows or on shared devices are compared as if pinned",
+ "A quality pass is taken to certify that the timed work actually occurred",
+ "Best-seen results are reported as delivered without restarting and validating the final code/config artifact"
+ ],
+ "refusal_point": "Records missing coverage and high-variance results as INCONCLUSIVE rather than a win; a run without a frozen RunSpec, or whose validator changed after the plan was frozen, is INCONCLUSIVE regardless of metric values; sets no universal numeric gate or noise threshold"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Freeze one primary objective, timing boundary, quality gates and sample/failure accounting before optimization.",
+ "Choose the required regimes from the deployment use case, report each separately, and record which must improve or must not regress in a versioned decision config.",
+ "Use the replay trace that matches the actual deployment pattern.",
+ "State the concurrency, trace, model, SKU and microbenchmark scope boundaries in any report that cites benchmark results."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
index 2b589b439..3f40b57b2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/admission-drain-occupancy.json",
@@ -54,7 +54,7 @@
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/qwen-ascend-rejected-directions.md": "be396983812262515899a3e2ba4f01b23ff92e1b836881882c7580372b8ae552",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/qwen-b300-rejected-directions.json": "146ea1564a46ed03092c7dc5796b318fc05b04b1821105ee00eb7fa7fa1333e2",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/qwen-b300-rejected-directions.md": "cce2930f544a0f78f21797fba4d8ded298e4a81f76c34d7977b0e31d361bc738",
- "src/inferrsi/data/skill_library/methods/inference-optimization-casebook/metadata.json": "fb55067fb45970319787068a3206110641cceaf0ccbabd706be6d0b3d2afc2ed",
+ "src/inferrsi/data/skill_library/methods/inference-optimization-casebook/metadata.json": "963488658f327d2379183d70357eabf832d70a6a70db2aa67f548493f4088d97",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -74,6 +74,27 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Structuring and querying a casebook of past optimization decisions as decision support, when recording optimization experiments or choosing the next optimization from prior art; the casebook is reference material and neither runs profiling nor makes decisions",
+ "prerequisites": "Whole-body text access to the case files for free-text search; applying a case first requires reading the nearest checked-in config and the model's deployment guide",
+ "input_contract": "For a query: natural search terms such as model name, knob, mechanism word or deployment feature, plus the current model and hardware. For a new case: mechanism, applies-when and does-not-apply conditions, procedure, expected effect, accuracy risk, verification, rollback and a real measurement trail with run ID, verdict, exact hardware SKU, model revision, workload and before/after result",
+ "produced_artifact": "Ranked matching cases read as precedents and diagnostic options, or a new or deprecated case record in the template; a precedent's procedure and expected direction of effect, not a guaranteed configuration or a measured result",
+ "failure_modes": [
+ "The query is pre-translated into canonical vocabulary or bounded by structured fields, so synonyms in the body text are missed",
+ "A case's specific values, such as batch size, tensor-parallel degree or kernel parameters, are copied instead of re-derived for the current model and hardware",
+ "The precedent's expected direction of effect stands in for measurement after the change is applied",
+ "A rejected direction is read as a permanent blacklist, or one discarded implementation as ruling out its mechanism",
+ "A confounded run, a missing experiment and a failed gate are recorded as the same evidence state",
+ "Cross-system cases are bootstrapped without re-verifying that the mechanism holds on the target hardware"
+ ],
+ "refusal_point": "Adds no case for an INCONCLUSIVE optimization-effect claim, a single-configuration result without plausible generalization, or a result without a real measurement trail, except a scoped diagnostic observation that keeps its verdict and configuration boundary; manufactures no PASS, and reading the records does not reopen a paused campaign"
+ },
+ "recommendations": [
+ "Search the full case bodies with free text first, then rank the hits by bottleneck class and signals.",
+ "Before retrying a rejected direction, state which condition changed or which uncertainty a bounded check resolves, run an unchanged control and choose the least expensive discriminating check.",
+ "Mark bootstrapped cases source_grounded or author_reported until a local measurement confirms or refutes them.",
+ "When a case's conditions no longer hold, mark it deprecated with the reason instead of deleting it."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -81,10 +102,26 @@
"provenance_readsets": [],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Structuring and querying a casebook of past optimization decisions as decision support, when recording optimization experiments or choosing the next optimization from prior art; the casebook is reference material and neither runs profiling nor makes decisions",
+ "prerequisites": "Whole-body text access to the case files for free-text search; applying a case first requires reading the nearest checked-in config and the model's deployment guide",
+ "input_contract": "For a query: natural search terms such as model name, knob, mechanism word or deployment feature, plus the current model and hardware. For a new case: mechanism, applies-when and does-not-apply conditions, procedure, expected effect, accuracy risk, verification, rollback and a real measurement trail with run ID, verdict, exact hardware SKU, model revision, workload and before/after result",
+ "produced_artifact": "Ranked matching cases read as precedents and diagnostic options, or a new or deprecated case record in the template; a precedent's procedure and expected direction of effect, not a guaranteed configuration or a measured result",
+ "failure_modes": [
+ "The query is pre-translated into canonical vocabulary or bounded by structured fields, so synonyms in the body text are missed",
+ "A case's specific values, such as batch size, tensor-parallel degree or kernel parameters, are copied instead of re-derived for the current model and hardware",
+ "The precedent's expected direction of effect stands in for measurement after the change is applied",
+ "A rejected direction is read as a permanent blacklist, or one discarded implementation as ruling out its mechanism",
+ "A confounded run, a missing experiment and a failed gate are recorded as the same evidence state",
+ "Cross-system cases are bootstrapped without re-verifying that the mechanism holds on the target hardware"
+ ],
+ "refusal_point": "Adds no case for an INCONCLUSIVE optimization-effect claim, a single-configuration result without plausible generalization, or a result without a real measurement trail, except a scoped diagnostic observation that keeps its verdict and configuration boundary; manufactures no PASS, and reading the records does not reopen a paused campaign"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Search the full case bodies with free text first, then rank the hits by bottleneck class and signals.",
+ "Before retrying a rejected direction, state which condition changed or which uncertainty a bounded check resolves, run an unchanged control and choose the least expensive discriminating check.",
+ "Mark bootstrapped cases source_grounded or author_reported until a local measurement confirms or refutes them.",
+ "When a case's conditions no longer hold, mark it deprecated with the reason instead of deleting it."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
index 7f7a01ee7..21d1ac1a3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
@@ -39,8 +39,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/causal-conv1d-dispatch-state.md",
@@ -79,7 +79,7 @@
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/vllm-gdn-causal-conv-contract.md": "2f3dcee66e2dfe7a98bee21a36b892538998de5de3caf1bc63257137f9984236",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/vllm-gdn-source-contract.json": "73f1a2d8fa89ce05aead2091a05a285b13cbdc314d05452c35c6a2ad15ffeff7",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/vllm-gdn-source-contract.md": "7f9ebe8de7e55d3db2a119b6a56e15c37448fd7d4e022a47122a143206d31687",
- "src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json": "c86f93f4eacde789e5438327d85b1de0bfe623fb87acad49306e47b7e8ef1261",
+ "src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json": "b1b729dcfcdd28835f9cefd98aa6f54da7642e056888f643b890f6ca2894bb99",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/akg-affine-tail-guards.md": "113deb2db10b171db3425bb3f1792bee763706b794c8cc2e222b4cc0d0114118",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/causal-conv1d-contract.md": "b3a6245cf5e9deeba0dffd4a15ddcf97da6a4315f4d3131921779438832663ad",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/hf-qwen35-gdn-binding.md": "848d3c99b47ef711e8820bbc4f6bcbd1db7211197811c9d855201025448d806b",
@@ -251,6 +251,37 @@
}
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton, CuTe DSL, CUDA C++, AscendC or TileIR, applying framework-independent correctness rules, and verifying the executing kernel against a reference before benchmarking; covers fused elementwise chains, reductions, tiled GEMM, attention variants, custom collectives, causal convolution and stateful serving-operator qualification",
+ "prerequisites": "The applicable operator, caller/state and layout contracts are read before substitution, including the causal-conv1d contract and HF Qwen3.5 GDN binding; the CuTe DSL environment uses Linux x86_64, Python 3.10–3.13 and Ampere+ (SM80+) with nvidia-cutlass-dsl installed and no NPU target; the CANN programming guide for the specific SoC is consulted for AscendC",
+ "input_contract": "The candidate operation or operation chain, its shapes, dtypes, quantization and layout requirements, and the target execution phase; the target accelerator and framework constraints; for serving operators, the concrete caller, effective phase and backend, state-row mapping, cache or buffer lifetime and in-place-write behavior; a reference implementation with the same signature, a callable kernel wrapper and fresh CUDA or NPU test tensors; verification shapes and dtypes plus profiler output for the target metric",
+ "produced_artifact": "A write-or-decline decision for the candidate operation with the profiled bottleneck or fusable pair that justifies it, a framework choice routed by pattern and accelerator, a correctness checklist covering fp32 transcendental round-trips, sync-free wrappers, C division semantics, pre-allocated outputs, fp32 matmul accumulators and masked boundary loads and stores, a starting block or tile size with its autotune and warmup cost noted, a kernel shipping kernel_fn, reference_fn and get_inputs, a reference-parity result across the verification shapes and dtypes, and a post-verification profiler reading on the target metric; for an existing causal-convolution or stateful serving operator, a qualification record naming the caller, phase, backend, state rows and in-place writes, with source selection kept apart from executed dispatch; a routing and correctness decision, not a complete implementation or a measured speedup",
+ "failure_modes": [
+ "A kernel is written for a standalone elementwise op, a standalone matmul or standard attention where the vendor library already wins",
+ "Host-side scheduling cost is treated as a kernel problem instead of being routed to host-overhead-profiling",
+ "Fusion is justified by removed Python call overhead rather than by the DRAM traffic the shared data no longer makes",
+ "A transcendental runs on fp16/bf16 inputs without the fp32 cast round-trip, so the error stays silent through benchmarking",
+ "tl.dot accumulates in the input dtype because Triton is assumed to promote fp16/bf16 to fp32 automatically",
+ "Negative offsets are computed assuming Python floor division while Triton or AscendC rounds toward zero",
+ "An unmasked load or store is accepted because the benchmark shapes happen to divide the block size",
+ "A kernel is benchmarked before it matches its reference, or a shape-boundary, accumulator-dtype or precision failure is read as a tuning problem",
+ "A verification pass is reported as a win although the profiler metric did not move, so the kernel was never on the critical path",
+ "Autotune compile cost is measured as steady-state serving latency instead of being pre-warmed or cached",
+ "A CuTe DSL pattern is routed to an NPU target, or a CUDA tail-guard, attention primitive or SM-matched example is assumed to carry to Ascend",
+ "A causal-conv1d or GDN operator is substituted on build success, import success or matching names without resolving dtype, strides, packed boundaries, state rows and cursors",
+ "An in-tree vLLM wrapper, a GDN prefill flag or a cache-free classification adapter is read as establishing the executed convolution path or generation-state support"
+ ],
+ "refusal_point": "Declines to start a kernel until a profiler puts the target on the critical path near its hardware ceiling or names a concrete fusable pair, and sends host-bound cases elsewhere; refuses to benchmark an unverified kernel and withholds a gain whose profiler metric did not move; keeps operator source selection separate from executed dispatch, numerical parity and hardware qualification, so build or import success qualifies nothing; treats AscendC and TileIR content as source-inferred pending CANN and SoC verification with no local NPU run, treats the AKG Affine FileCheck expectations as IR structure rather than executed CUDA correctness, and reads author-reported overlap and FP8 cases as counterexamples to unconditional tuning rules; claims no Ascend support from NVIDIA primitives",
+ "hardware": "CUDA Ampere+ and Ascend NPU have separate framework routes for each kernel pattern; CuTe DSL requires Linux x86_64, Python 3.10-3.13 and SM80+ with nvidia-cutlass-dsl and is unavailable on NPU; profiling uses ncu on CUDA and msprof on Ascend; the AscendC and TileIR guidance is source-inferred with no local NPU verification and requires validation against the specific CANN version and SoC"
+ },
+ "recommendations": [
+ "Confirm with nsys/ncu or msprof that the target kernel sits on the critical path near its hardware ceiling, or name the adjacent operations whose shared data would otherwise round-trip through DRAM, before writing any kernel.",
+ "Ship every kernel with kernel_fn, reference_fn and get_inputs, pass reference parity across the verification shapes and dtypes first, and profile afterwards to confirm the target metric actually moved.",
+ "Cast fp16/bf16 to fp32 and back for any math beyond +, -, * and /, declare tl.dot accumulators as tl.float32, and mask every load and store whose shape does not divide the block size.",
+ "Start Triton at BLOCK_SIZE 1024 on Hopper and 512 on Ampere using powers of two, take GEMM tiles from the source skeleton configs (128/256/64 for Hopper, 64/128/32 for smaller cards) and autotune from there.",
+ "On Ascend, reach for TileIR before raw AscendC, size tiles to fit the AI Core Unified Buffer and check cube-unit alignment against the CANN guide for the specific SoC.",
+ "Match a CuTe DSL example to the GPU architecture (SM80 Ampere, SM90 Hopper, SM100 Blackwell) and study its structure instead of copying it, and pre-warm or cache autotuned kernels at startup so first-run compile cost stays out of serving latency."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets.",
@@ -270,10 +301,36 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton, CuTe DSL, CUDA C++, AscendC or TileIR, applying framework-independent correctness rules, and verifying the executing kernel against a reference before benchmarking; covers fused elementwise chains, reductions, tiled GEMM, attention variants, custom collectives, causal convolution and stateful serving-operator qualification",
+ "prerequisites": "The applicable operator, caller/state and layout contracts are read before substitution, including the causal-conv1d contract and HF Qwen3.5 GDN binding; the CuTe DSL environment uses Linux x86_64, Python 3.10–3.13 and Ampere+ (SM80+) with nvidia-cutlass-dsl installed and no NPU target; the CANN programming guide for the specific SoC is consulted for AscendC",
+ "input_contract": "The candidate operation or operation chain, its shapes, dtypes, quantization and layout requirements, and the target execution phase; the target accelerator and framework constraints; for serving operators, the concrete caller, effective phase and backend, state-row mapping, cache or buffer lifetime and in-place-write behavior; a reference implementation with the same signature, a callable kernel wrapper and fresh CUDA or NPU test tensors; verification shapes and dtypes plus profiler output for the target metric",
+ "produced_artifact": "A write-or-decline decision for the candidate operation with the profiled bottleneck or fusable pair that justifies it, a framework choice routed by pattern and accelerator, a correctness checklist covering fp32 transcendental round-trips, sync-free wrappers, C division semantics, pre-allocated outputs, fp32 matmul accumulators and masked boundary loads and stores, a starting block or tile size with its autotune and warmup cost noted, a kernel shipping kernel_fn, reference_fn and get_inputs, a reference-parity result across the verification shapes and dtypes, and a post-verification profiler reading on the target metric; for an existing causal-convolution or stateful serving operator, a qualification record naming the caller, phase, backend, state rows and in-place writes, with source selection kept apart from executed dispatch; a routing and correctness decision, not a complete implementation or a measured speedup",
+ "failure_modes": [
+ "A kernel is written for a standalone elementwise op, a standalone matmul or standard attention where the vendor library already wins",
+ "Host-side scheduling cost is treated as a kernel problem instead of being routed to host-overhead-profiling",
+ "Fusion is justified by removed Python call overhead rather than by the DRAM traffic the shared data no longer makes",
+ "A transcendental runs on fp16/bf16 inputs without the fp32 cast round-trip, so the error stays silent through benchmarking",
+ "tl.dot accumulates in the input dtype because Triton is assumed to promote fp16/bf16 to fp32 automatically",
+ "Negative offsets are computed assuming Python floor division while Triton or AscendC rounds toward zero",
+ "An unmasked load or store is accepted because the benchmark shapes happen to divide the block size",
+ "A kernel is benchmarked before it matches its reference, or a shape-boundary, accumulator-dtype or precision failure is read as a tuning problem",
+ "A verification pass is reported as a win although the profiler metric did not move, so the kernel was never on the critical path",
+ "Autotune compile cost is measured as steady-state serving latency instead of being pre-warmed or cached",
+ "A CuTe DSL pattern is routed to an NPU target, or a CUDA tail-guard, attention primitive or SM-matched example is assumed to carry to Ascend",
+ "A causal-conv1d or GDN operator is substituted on build success, import success or matching names without resolving dtype, strides, packed boundaries, state rows and cursors",
+ "An in-tree vLLM wrapper, a GDN prefill flag or a cache-free classification adapter is read as establishing the executed convolution path or generation-state support"
+ ],
+ "refusal_point": "Declines to start a kernel until a profiler puts the target on the critical path near its hardware ceiling or names a concrete fusable pair, and sends host-bound cases elsewhere; refuses to benchmark an unverified kernel and withholds a gain whose profiler metric did not move; keeps operator source selection separate from executed dispatch, numerical parity and hardware qualification, so build or import success qualifies nothing; treats AscendC and TileIR content as source-inferred pending CANN and SoC verification with no local NPU run, treats the AKG Affine FileCheck expectations as IR structure rather than executed CUDA correctness, and reads author-reported overlap and FP8 cases as counterexamples to unconditional tuning rules; claims no Ascend support from NVIDIA primitives",
+ "hardware": "CUDA Ampere+ and Ascend NPU have separate framework routes for each kernel pattern; CuTe DSL requires Linux x86_64, Python 3.10-3.13 and SM80+ with nvidia-cutlass-dsl and is unavailable on NPU; profiling uses ncu on CUDA and msprof on Ascend; the AscendC and TileIR guidance is source-inferred with no local NPU verification and requires validation against the specific CANN version and SoC"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Confirm with nsys/ncu or msprof that the target kernel sits on the critical path near its hardware ceiling, or name the adjacent operations whose shared data would otherwise round-trip through DRAM, before writing any kernel.",
+ "Ship every kernel with kernel_fn, reference_fn and get_inputs, pass reference parity across the verification shapes and dtypes first, and profile afterwards to confirm the target metric actually moved.",
+ "Cast fp16/bf16 to fp32 and back for any math beyond +, -, * and /, declare tl.dot accumulators as tl.float32, and mask every load and store whose shape does not divide the block size.",
+ "Start Triton at BLOCK_SIZE 1024 on Hopper and 512 on Ampere using powers of two, take GEMM tiles from the source skeleton configs (128/256/64 for Hopper, 64/128/32 for smaller cards) and autotune from there.",
+ "On Ascend, reach for TileIR before raw AscendC, size tiles to fit the AI Core Unified Buffer and check cube-unit alignment against the CANN guide for the specific SoC.",
+ "Match a CuTe DSL example to the GPU architecture (SM80 Ampere, SM90 Hopper, SM100 Blackwell) and study its structure instead of copying it, and pre-warm or cache autotuned kernels at startup so first-run compile cost stays out of serving latency."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
index 7864009ba..951ab7294 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
index ceaa9e2f9..0f00fd8a2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
index ee17263cf..aceac867d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/lily/LICENSE",
"src/inferrsi/data/skill_library/repositories/lily/NOTICE.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
index 855174e9e..d9d5f0de8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/lithos-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
index 61a92eba6..06e73252e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
"src/inferrsi/data/skill_library/repositories/local-dream/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
index 018149f60..626715b90 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/mistral-rs/LICENSE",
"src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
index 0d61044c8..7c33e405c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlc-llm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
index 232ce428d..50f8bfeed 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
index f42d1bac1..f5aced826 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
index e6d1bfee7..00ed32be7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json",
@@ -44,7 +44,7 @@
"checkout_ref": "checkout:optimization-search-policy",
"source_files": {
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md": "dd275a0576e827353963aae7f0b09494d60d0b9a4a2884fe575c85249fa3131b",
- "src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json": "4a61aab6b9984dacdccd657c17f2d959b3a6ffe74bfd2f1677438f3bb8f025d3",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json": "1fa57ffd478c49cabb2061f9b64806f0f4d3dc8bee17757d23b7e897b57e8ec6",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/INTEGRATION_NOTES.md": "157e74ba180426b279b548a729769f152bf18f9a78ffca4ebfcaf26b7d0c5292",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/MECHANISMS.md": "18bb2f5d7e52773c516420a142edfb531d0b9c822a2934d60f3234ac1cb9d40e",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/NEXT_GATE_LEADS.md": "16a264c7159f9c2c700ce8ba46e63f3e636b277c987da4970f6d2fa085fcb053",
@@ -70,6 +70,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Selecting, ordering and stopping optimization experiments: candidate generation, exploration versus exploitation, mechanism diversity, negative experiment memory, cost-aware escalation, budget allocation and stopping criteria, drawn from vllm-evolve, the TRT-LLM casebook and SkillOpt",
+ "prerequisites": "The useful work, quality contract, allowed approximations, timing boundary and resource budget are frozen before search, and a complete restartable incumbent is preserved; reading the procedures authorizes no execution, framework change, new resource spending or publication",
+ "input_contract": "Profiling data, existing config, prior experiment and negative records and the casebook for the current bottleneck class, model and hardware; each target stage's fraction of E2E time; the target, locally measured uncertainty and the authorized budget",
+ "produced_artifact": "An ordered experiment plan: one candidate change per round with an explicit hypothesis and its motivating evidence, a bounded shortlist of distinct mechanisms with assumptions, uncertainty, expected impact and evaluation cost, negative records turned into search constraints, and a stop-or-switch decision; when authorized rounds run, a recorded verdict per round with best-seen and delivered outcomes kept apart",
+ "failure_modes": [
+ "The evaluation protocol, measurement setup or baseline changes in the same round as the candidate",
+ "Benchmark budget is spent on a candidate that fails correctness",
+ "A matching keyword in a rejection record is used as a causal diagnosis or automatic veto, or one failed implementation excludes a whole solution family",
+ "Expensive work starts on a stage without computing its Amdahl contribution, so a large local speedup yields little E2E gain",
+ "One mechanism family keeps being sampled only because budget remains, without re-profiling after the limiting stage moves",
+ "Roofline proximity or a utilization threshold is used as a universal stopping rule",
+ "Screening is allowed to skip the frozen acceptance regimes or required service-level evidence"
+ ],
+ "refusal_point": "Discards a correctness-breaking, worse or inconclusive change instead of integrating it, preserves no-change when candidates cannot be separated, does not count a shortcut outside the authorized semantics as an optimization, and does not let a successful probe qualify a broken final state"
+ },
+ "recommendations": [
+ "Before generating a candidate, consult the casebook, the negative record and the target stage's Amdahl contribution.",
+ "Record every worse or inconclusive result with hypothesis, metric, context, evidence level and failure type, and derive a search constraint from it.",
+ "When about three experiments on one hypothesis return inconclusive from measurement variance, fix the protocol or move to a different hypothesis.",
+ "Before reporting, restore and verify the best fully valid incumbent through its canonical launcher."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -93,10 +115,27 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Selecting, ordering and stopping optimization experiments: candidate generation, exploration versus exploitation, mechanism diversity, negative experiment memory, cost-aware escalation, budget allocation and stopping criteria, drawn from vllm-evolve, the TRT-LLM casebook and SkillOpt",
+ "prerequisites": "The useful work, quality contract, allowed approximations, timing boundary and resource budget are frozen before search, and a complete restartable incumbent is preserved; reading the procedures authorizes no execution, framework change, new resource spending or publication",
+ "input_contract": "Profiling data, existing config, prior experiment and negative records and the casebook for the current bottleneck class, model and hardware; each target stage's fraction of E2E time; the target, locally measured uncertainty and the authorized budget",
+ "produced_artifact": "An ordered experiment plan: one candidate change per round with an explicit hypothesis and its motivating evidence, a bounded shortlist of distinct mechanisms with assumptions, uncertainty, expected impact and evaluation cost, negative records turned into search constraints, and a stop-or-switch decision; when authorized rounds run, a recorded verdict per round with best-seen and delivered outcomes kept apart",
+ "failure_modes": [
+ "The evaluation protocol, measurement setup or baseline changes in the same round as the candidate",
+ "Benchmark budget is spent on a candidate that fails correctness",
+ "A matching keyword in a rejection record is used as a causal diagnosis or automatic veto, or one failed implementation excludes a whole solution family",
+ "Expensive work starts on a stage without computing its Amdahl contribution, so a large local speedup yields little E2E gain",
+ "One mechanism family keeps being sampled only because budget remains, without re-profiling after the limiting stage moves",
+ "Roofline proximity or a utilization threshold is used as a universal stopping rule",
+ "Screening is allowed to skip the frozen acceptance regimes or required service-level evidence"
+ ],
+ "refusal_point": "Discards a correctness-breaking, worse or inconclusive change instead of integrating it, preserves no-change when candidates cannot be separated, does not count a shortcut outside the authorized semantics as an optimization, and does not let a successful probe qualify a broken final state"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Before generating a candidate, consult the casebook, the negative record and the target stage's Amdahl contribution.",
+ "Record every worse or inconclusive result with hypothesis, metric, context, evidence level and failure type, and derive a search constraint from it.",
+ "When about three experiments on one hypothesis return inconclusive from measurement variance, fix the protocol or move to a different hypothesis.",
+ "Before reporting, restore and verify the best fully valid incumbent through its canonical launcher."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
index 1ad9db926..1fdb9839b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
index 860ef2407..c4911080e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
index e69d8e94d..c5cf3abc3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json",
@@ -34,7 +34,7 @@
"checkout_ref": "checkout:plan-activation-residency",
"source_files": {
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md": "542d8a1e6963f5019986e1fbd79d3a247a045a51487c09313026087ac457c15e",
- "src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json": "c6acae57d70190cea0e18c71c79127962181e58169e011df75d8635b3db4daa7",
+ "src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json": "0289c62f93d087cd6a4ba4140487925c4b3258a9db1f7004ff1dfb22fd6d4582",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/references/source-notes.md": "5ff52655cfd06fcf970ed2a7d4d4fe1c31115b102af2d41497de0c74848ed2b3",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -49,6 +49,27 @@
"origin": [
"external"
],
+ "applicability": {
+ "scope": "Proposing training activation and gradient memory reductions when pressure appears to come from live tensors or allocator-reserved memory, by distinguishing lifetime reordering, address packing and selective rematerialization; covers activation checkpointing for recomputation, not persistent recovery checkpoints",
+ "prerequisites": "The packaged evidence and limits are read before citing paper results; installing or running a solver or framework, modifying allocation or checkpoint policies, reproducing workloads or provisioning hardware needs separate authorization",
+ "input_contract": "The actual forward/backward/update DAG, shapes and precision, tensor sizes and consumer lifetimes; resident versus reserved peak bytes; operator, workspace and temporary-output peaks; batch and accumulation policy; optimizer and collective barriers; representative compute and transfer costs; whether the goal is fit, step time or time to a fixed training objective",
+ "produced_artifact": "A preferred candidate, simpler fallback, resource ledger, critical-path prediction, assumptions, counter-signals and unresolved-evidence list, with source claims kept apart from proposed decisions, plus a proposed matched comparison; a reviewable proposal, not an implementation",
+ "failure_modes": [
+ "Fragmentation and live-byte excess are not distinguished at the same phase",
+ "OLLA address packing is read as tensor placement across CPU/SSD tiers",
+ "Reordering moves a release or update past a dependency such as shared weights, accumulation, gradient clipping, optimizer state or collectives",
+ "A static packing plan ignores alignment, aliasing, workspace, asynchronous overlap or shape variability",
+ "Added recomputation consumes the compute window that previously hid transfers",
+ "Checkmate's rounding is taken to guarantee the memory cap, or its 10% allowance is used as a portable safety margin",
+ "A solver timeout is read as proof of infeasibility"
+ ],
+ "refusal_point": "Returns the missing classification instead of a preferred checkpoint interval when only total OOM memory is known, and escalates when a legal dependency graph, memory margin or correctness model is unavailable"
+ },
+ "recommendations": [
+ "Where ordering is legal, try earlier last-use and gradient release before adding computation or transfer.",
+ "Check dependency validity and memory feasibility separately for an approximate schedule.",
+ "Account for planning cost over the expected number of repeated steps."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -58,10 +79,26 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Proposing training activation and gradient memory reductions when pressure appears to come from live tensors or allocator-reserved memory, by distinguishing lifetime reordering, address packing and selective rematerialization; covers activation checkpointing for recomputation, not persistent recovery checkpoints",
+ "prerequisites": "The packaged evidence and limits are read before citing paper results; installing or running a solver or framework, modifying allocation or checkpoint policies, reproducing workloads or provisioning hardware needs separate authorization",
+ "input_contract": "The actual forward/backward/update DAG, shapes and precision, tensor sizes and consumer lifetimes; resident versus reserved peak bytes; operator, workspace and temporary-output peaks; batch and accumulation policy; optimizer and collective barriers; representative compute and transfer costs; whether the goal is fit, step time or time to a fixed training objective",
+ "produced_artifact": "A preferred candidate, simpler fallback, resource ledger, critical-path prediction, assumptions, counter-signals and unresolved-evidence list, with source claims kept apart from proposed decisions, plus a proposed matched comparison; a reviewable proposal, not an implementation",
+ "failure_modes": [
+ "Fragmentation and live-byte excess are not distinguished at the same phase",
+ "OLLA address packing is read as tensor placement across CPU/SSD tiers",
+ "Reordering moves a release or update past a dependency such as shared weights, accumulation, gradient clipping, optimizer state or collectives",
+ "A static packing plan ignores alignment, aliasing, workspace, asynchronous overlap or shape variability",
+ "Added recomputation consumes the compute window that previously hid transfers",
+ "Checkmate's rounding is taken to guarantee the memory cap, or its 10% allowance is used as a portable safety margin",
+ "A solver timeout is read as proof of infeasibility"
+ ],
+ "refusal_point": "Returns the missing classification instead of a preferred checkpoint interval when only total OOM memory is known, and escalates when a legal dependency graph, memory margin or correctness model is unavailable"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Where ordering is legal, try earlier last-use and gradient release before adding computation or transfer.",
+ "Check dependency validity and memory feasibility separately for an approximate schedule.",
+ "Account for planning cost over the expected number of repeated steps."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
index 9f2f5253d..761252ab0 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/project-maya/LICENSE",
"src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
index f8da7204d..6fcfbf182 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
index e3e9c23a3..d2c985506 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
index 379fe83b5..e1b2c0354 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json",
@@ -38,7 +38,7 @@
"checkout_ref": "checkout:skill-evolution-playbook",
"source_files": {
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md": "9cd37f21fe0d862069e4798edca8a04d59f8b840e55d521901594a63dddd9ba3",
- "src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json": "92b36338b9257e2e41b95e4370694d7de52ed84bc7971056b3bfced07b0993d8",
+ "src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json": "d3e790614e09d2d57acb24bfe8d2c2a524cc36bd667bd3867c557554bcbb605e",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
"skill_metadata": {
@@ -58,6 +58,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Design choices for evolving agent skills from execution traces, drawn from Trace2Skill and SkillOpt: when a trajectory should update a skill, how conflicting lessons are handled, how negative evidence is preserved, how large an edit should be and when skills split or merge; for designing or operating a skill evolution pipeline",
+ "prerequisites": "A final-test partition kept outside edit selection and the incumbent skill retained for rollback; changing a skill's scope first needs explicit review of its identity and consumers",
+ "input_contract": "Execution trajectories or trace IDs with the diagnosed causal failure and the successful behavior an amendment must preserve; the incumbent skill and its revision lineage; held-out evaluation results for candidate edits",
+ "produced_artifact": "A scoped case or amendment proposal, or a consolidated candidate edit, with rejection records and the versioned revision lineage; a candidate for independently evaluated acceptance, not a replacement decision or an efficacy claim",
+ "failure_modes": [
+ "An anecdote, or agreement among analysts, is taken as efficacy",
+ "Consolidation output is treated as a replacement decision instead of a candidate awaiting independent acceptance",
+ "A tie or uncertain result is reported as improvement",
+ "A conflict is resolved by voting for whichever outcome appeared more often in the pool",
+ "A rejection is applied to every future use of an idea instead of the comparison it constrains",
+ "Paper-specific section counts or length budgets are used as universal defaults, or a skill is split on length alone",
+ "A stronger task solver is assumed to be a stronger improver, or replay rankings and private inner scores are read as outer generalization"
+ ],
+ "refusal_point": "Records a conflict that conditioning cannot resolve, where the same context produces different outcomes across runs, as INCONCLUSIVE and flags it for human review instead of choosing a lesson; claims no universal minimum trace count, paper-to-code equivalence or local efficacy"
+ },
+ "recommendations": [
+ "Condition a conflicting lesson on its context (when X, do A; when Y, avoid A) before choosing one side.",
+ "Store each rejection record with its evaluation evidence, outside the deployed task procedure, and give it a retirement condition.",
+ "Bound the target passage and intended behavior before editing, inspect the actual diff and preserve rollback state.",
+ "Prefer an amendment when the existing skill owns the workflow; create a new candidate only for a genuinely distinct capability."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -65,10 +87,27 @@
"provenance_readsets": [],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Design choices for evolving agent skills from execution traces, drawn from Trace2Skill and SkillOpt: when a trajectory should update a skill, how conflicting lessons are handled, how negative evidence is preserved, how large an edit should be and when skills split or merge; for designing or operating a skill evolution pipeline",
+ "prerequisites": "A final-test partition kept outside edit selection and the incumbent skill retained for rollback; changing a skill's scope first needs explicit review of its identity and consumers",
+ "input_contract": "Execution trajectories or trace IDs with the diagnosed causal failure and the successful behavior an amendment must preserve; the incumbent skill and its revision lineage; held-out evaluation results for candidate edits",
+ "produced_artifact": "A scoped case or amendment proposal, or a consolidated candidate edit, with rejection records and the versioned revision lineage; a candidate for independently evaluated acceptance, not a replacement decision or an efficacy claim",
+ "failure_modes": [
+ "An anecdote, or agreement among analysts, is taken as efficacy",
+ "Consolidation output is treated as a replacement decision instead of a candidate awaiting independent acceptance",
+ "A tie or uncertain result is reported as improvement",
+ "A conflict is resolved by voting for whichever outcome appeared more often in the pool",
+ "A rejection is applied to every future use of an idea instead of the comparison it constrains",
+ "Paper-specific section counts or length budgets are used as universal defaults, or a skill is split on length alone",
+ "A stronger task solver is assumed to be a stronger improver, or replay rankings and private inner scores are read as outer generalization"
+ ],
+ "refusal_point": "Records a conflict that conditioning cannot resolve, where the same context produces different outcomes across runs, as INCONCLUSIVE and flags it for human review instead of choosing a lesson; claims no universal minimum trace count, paper-to-code equivalence or local efficacy"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Condition a conflicting lesson on its context (when X, do A; when Y, avoid A) before choosing one side.",
+ "Store each rejection record with its evaluation evidence, outside the deployed task procedure, and give it a retirement condition.",
+ "Bound the target passage and intended behavior before editing, inspect the actual diff and preserve rollback state.",
+ "Prefer an amendment when the existing skill owns the workflow; create a new candidate only for a genuinely distinct capability."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
index 9e6612249..9ac647afc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/splash/LICENSE",
"src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
index 9e0474379..bb73e82e6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
index bcc6324a9..521864782 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json",
@@ -41,7 +41,7 @@
"checkout_ref": "checkout:training-input-pipeline",
"source_files": {
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md": "64bd2c6b795d966045d1d3cca55976d3d49b08b06df7c7e06a70c2824cf55b7e",
- "src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json": "80659099fce6a6ec05e9084b75452c877a5812e30f60a78f31ef8c7efcdc1bac",
+ "src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json": "debad47896f600c7a1e19e477e34026c975dfde320a786dca1ddd02030a5feb1",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/references/sources.md": "60e0f3e88655d8e1d5eb4797f39ca4370deda01614f265b8d2ea4559d8ac020f",
"src/inferrsi/data/skill_library/skill-index.json": "b5a9f05bd8179644f3fea79d7eb04fe4a8baad9e8d68aa8d0f1db213cf633317"
},
@@ -64,6 +64,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Diagnosing training input stalls and choosing bounded queue, shard-cache and cache-ownership changes from DALI, Mosaic Streaming and FFCV, while preserving execution-mode gates, sample ordering and per-host memory budgets and separating remote downloads, local storage reads and host/device transfers",
+ "prerequisites": "The pinned readset and its license constraints are read; reading authorizes no commands, cache manipulation or experiment",
+ "input_contract": "Dataset format, sample-size distribution, workers and ranks per host, ordering/shuffle, local-cache state and executor mode; a per-host memory budget that includes checkpoint staging and runtime offload; timings that separate remote fetch, decompression/decoding, transformation, batch readiness and device transfer",
+ "produced_artifact": "One proposed queue, shard-cache or cache-ownership change with its source-backed rule and boundary, the evidence proposed to confirm it, and a verification contract for a separately authorized comparison; no input-throughput, model-quality or hardware result",
+ "failure_modes": [
+ "Low accelerator utilization is taken to identify which producer stage is late",
+ "Missing legacy DALI statistics are read as zero use, or the execution mode is switched silently to obtain them, which changes the comparison",
+ "DALI run() returning is read as output-ready timing instead of the outputs() synchronization boundary",
+ "Mosaic predownload is treated as a byte cap or request count, or per-worker sample targets are multiplied into an exact network-byte prediction",
+ "Look-ahead is increased when the local cache cannot retain the working set, so evicted shards are downloaded again",
+ "cache_limit is read as a bound on total process RAM, or the constructor minimum as an optimum or a guarantee against thrashing",
+ "An FFCV memory map is taken as proof that its pages are resident"
+ ],
+ "refusal_point": "Rejects changes that violate sample coverage or the stated reproducibility contract even if batches arrive faster, does not report queue depth alone as a performance result, and draws no NPU acceleration claim from the CUDA-oriented DALI source"
+ },
+ "recommendations": [
+ "Record dataset format, sample sizes, workers per host, ordering, cache state and executor mode before proposing one change.",
+ "Increase Mosaic look-ahead only when readiness starvation is observed and cache headroom exists; otherwise address shard and working-set residency first.",
+ "Check the exact DALI configuration surface before use, because the constructor and deserialization paths use different queue keys.",
+ "In a later comparison, separate warm-cache throughput from cold retrieval and initialization, and report step time with input wait, host/HBM peaks and actual I/O."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -73,10 +95,27 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Diagnosing training input stalls and choosing bounded queue, shard-cache and cache-ownership changes from DALI, Mosaic Streaming and FFCV, while preserving execution-mode gates, sample ordering and per-host memory budgets and separating remote downloads, local storage reads and host/device transfers",
+ "prerequisites": "The pinned readset and its license constraints are read; reading authorizes no commands, cache manipulation or experiment",
+ "input_contract": "Dataset format, sample-size distribution, workers and ranks per host, ordering/shuffle, local-cache state and executor mode; a per-host memory budget that includes checkpoint staging and runtime offload; timings that separate remote fetch, decompression/decoding, transformation, batch readiness and device transfer",
+ "produced_artifact": "One proposed queue, shard-cache or cache-ownership change with its source-backed rule and boundary, the evidence proposed to confirm it, and a verification contract for a separately authorized comparison; no input-throughput, model-quality or hardware result",
+ "failure_modes": [
+ "Low accelerator utilization is taken to identify which producer stage is late",
+ "Missing legacy DALI statistics are read as zero use, or the execution mode is switched silently to obtain them, which changes the comparison",
+ "DALI run() returning is read as output-ready timing instead of the outputs() synchronization boundary",
+ "Mosaic predownload is treated as a byte cap or request count, or per-worker sample targets are multiplied into an exact network-byte prediction",
+ "Look-ahead is increased when the local cache cannot retain the working set, so evicted shards are downloaded again",
+ "cache_limit is read as a bound on total process RAM, or the constructor minimum as an optimum or a guarantee against thrashing",
+ "An FFCV memory map is taken as proof that its pages are resident"
+ ],
+ "refusal_point": "Rejects changes that violate sample coverage or the stated reproducibility contract even if batches arrive faster, does not report queue depth alone as a performance result, and draws no NPU acceleration claim from the CUDA-oriented DALI source"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Record dataset format, sample sizes, workers per host, ordering, cache state and executor mode before proposing one change.",
+ "Increase Mosaic look-ahead only when readiness starvation is observed and cache headroom exists; otherwise address shard and working-set residency first.",
+ "Check the exact DALI configuration surface before use, because the constructor and deserialization paths use different queue keys.",
+ "In a later comparison, separate warm-cache throughput from cold retrieval and initialization, and report step time with input wait, host/HBM peaks and actual I/O."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
index 0a23ae89f..9183a3824 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json",
@@ -49,7 +49,7 @@
"checkout_ref": "checkout:training-resource-budget",
"source_files": {
"src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md": "d3805c5f605faae663ad5a674a56c1e1e5fdd211cd58833c008e557cfd7e4c37",
- "src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json": "adb0473945920794e07f62e19230683e6f8b2a0f07f91d41a451374f919d343b",
+ "src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json": "9ae014b0ca5ca5d32e31e05b52e7436ad1c197fdce8d731fd4d9c79965fd4f2d",
"src/inferrsi/data/skill_library/methods/training-resource-budget/references/mindspeed-historical.md": "ad65c27f278c3d0ca3599a7630c02d3e529477a05b71b7703bd2d75f0d8fdd2c",
"src/inferrsi/data/skill_library/methods/training-resource-budget/references/mindspeed-source-readset.md": "4462d69ed6a941a03639c756968be3ce54f947e51f6ca618f4fb1cd43b643b35",
"src/inferrsi/data/skill_library/methods/training-resource-budget/references/papers-20261015/INTEGRATION_NOTES.md": "c55c6ad2131ef788866411dcc7056f221420ebff30c95c6bc919b09a4818cb73",
@@ -80,6 +80,28 @@
"external"
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Choosing training offload and resource-budget changes from pinned DeepSpeed configuration, attributed expert diagnosis and a historical MindSpeed case, balancing accelerator capacity, CPU work, pinned RAM and local storage while keeping host/device transfer exposure distinct from collective network bottlenecks",
+ "prerequisites": "The source boundaries are read; garbage-collection or affinity changes, privileged memlock changes and delayed parameter updates each need separate approval, and the skill authorizes no newest-wheel installation, scheduler-priority change, benchmark or failure injection; historical MindSpeed reuse requires compatible allocator symbols, tracked swappable storage, sufficient host capacity and verified device/NUMA/CPU mapping, not merely the presence of npu-smi and lspci",
+ "input_contract": "State attributed to parameters, optimizer state, gradients or activations with its current memory tier, lifetime and next consumer; whether the failure is allocation capacity or throughput; a per-host budget for input buffers, checkpoint snapshots, offloaded state, OS cache and CPU workers with the actual ranks sharing the host; the host/device link recorded apart from collective traffic; the exact source version and enabled execution mode",
+ "produced_artifact": "A candidate decision record per proposal: the observed limiting interval and owning state or resource, source version and execution mode, capacity released and resources consumed with units and uncertainty, overlap readiness and mutation boundaries with expected contention, and the fixed-workload step and correctness evidence required for later validation",
+ "failure_modes": [
+ "A change that lets the model fit is presented as a speedup, although it can slow each step",
+ "A tensor copied to CPU is taken as an InfiniBand/RoCE bottleneck, or CPU/NVMe offload is counted as network evidence",
+ "Parameter max_in_cpu is read as a byte or total-host-memory cap instead of an element count",
+ "NVMe optimizer placement is assumed to remove CPU optimizer demand",
+ "The parameter buffer-pool count is transplanted to the optimizer, or all optimizers are assumed to hold identical states",
+ "Configuration presence or schema documentation is taken as evidence that a knob or overlap actually ran",
+ "Ordinary overlap is taken as permission for delayed, stale parameter updates"
+ ],
+ "refusal_point": "Claims no hardware validation, measured gain or current NPU compatibility, keeps source support and extracted coverage separate from measured improvement, and does not reuse the MindSpeed headline gain; historical source observations do not establish current-stack compatibility, whole-model correctness or measured benefit"
+ },
+ "recommendations": [
+ "Attribute the state and separate a capacity failure from a throughput bottleneck before choosing an offload surface.",
+ "Verify the consumer of buffer_size before calculating bytes or tuning it, and measure the executing path before claiming a knob ran.",
+ "Compare the whole step's critical path, not host capacity alone.",
+ "Use plan-activation-residency, choose-parallel-training-plan and assess-split-backward-schedule for live-range, parallel-plan and backward-ordering questions."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Original typed source inventory is not normalized; retain source identities and limits in the procedure/readsets."
@@ -97,10 +119,27 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Choosing training offload and resource-budget changes from pinned DeepSpeed configuration, attributed expert diagnosis and a historical MindSpeed case, balancing accelerator capacity, CPU work, pinned RAM and local storage while keeping host/device transfer exposure distinct from collective network bottlenecks",
+ "prerequisites": "The source boundaries are read; garbage-collection or affinity changes, privileged memlock changes and delayed parameter updates each need separate approval, and the skill authorizes no newest-wheel installation, scheduler-priority change, benchmark or failure injection; historical MindSpeed reuse requires compatible allocator symbols, tracked swappable storage, sufficient host capacity and verified device/NUMA/CPU mapping, not merely the presence of npu-smi and lspci",
+ "input_contract": "State attributed to parameters, optimizer state, gradients or activations with its current memory tier, lifetime and next consumer; whether the failure is allocation capacity or throughput; a per-host budget for input buffers, checkpoint snapshots, offloaded state, OS cache and CPU workers with the actual ranks sharing the host; the host/device link recorded apart from collective traffic; the exact source version and enabled execution mode",
+ "produced_artifact": "A candidate decision record per proposal: the observed limiting interval and owning state or resource, source version and execution mode, capacity released and resources consumed with units and uncertainty, overlap readiness and mutation boundaries with expected contention, and the fixed-workload step and correctness evidence required for later validation",
+ "failure_modes": [
+ "A change that lets the model fit is presented as a speedup, although it can slow each step",
+ "A tensor copied to CPU is taken as an InfiniBand/RoCE bottleneck, or CPU/NVMe offload is counted as network evidence",
+ "Parameter max_in_cpu is read as a byte or total-host-memory cap instead of an element count",
+ "NVMe optimizer placement is assumed to remove CPU optimizer demand",
+ "The parameter buffer-pool count is transplanted to the optimizer, or all optimizers are assumed to hold identical states",
+ "Configuration presence or schema documentation is taken as evidence that a knob or overlap actually ran",
+ "Ordinary overlap is taken as permission for delayed, stale parameter updates"
+ ],
+ "refusal_point": "Claims no hardware validation, measured gain or current NPU compatibility, keeps source support and extracted coverage separate from measured improvement, and does not reuse the MindSpeed headline gain; historical source observations do not establish current-stack compatibility, whole-model correctness or measured benefit"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Attribute the state and separate a capacity failure from a throughput bottleneck before choosing an offload surface.",
+ "Verify the consumer of buffer_size before calculating bytes or tuning it, and measure the executing path before claiming a knob ran.",
+ "Compare the whole step's critical path, not host capacity alone.",
+ "Use plan-activation-residency, choose-parallel-training-plan and assess-split-backward-schedule for live-range, parallel-plan and backward-ordering questions."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
index a03848459..03a3bf06c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/assets/campaign.template.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
index ae0d8bcd1..20cae0d14 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
index 56b37fd49..5d32ffc93 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json",
@@ -49,7 +49,7 @@
"checkout_ref": "checkout:weight-loading-optimization",
"source_files": {
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md": "a1bf0e2ec066d5f30225c6cc5fb603f830f48eb5e2aee3fc3d084ed9d8aebe2f",
- "src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json": "6df47ea943e42a11807c54869774957ac2383266120caad730f788207403581c",
+ "src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json": "ebcc5425d7b6409e5c509122e9dc76bed1caab09d73daf013d96086d7faaba2b",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/references/fastsafetensors-transfer-readset.md": "5a39f14b102b0cee304541e011aa31e44e6b13527d1bee9987c3f3b66c064d3d",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/references/flare-preparation-boundary.md": "1d7922785a196bdbafdc9791fe79428465a5acc0292ca8f99446f8c764b35454",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/references/llama-loading-readset.md": "6c640f28ee3f0253a17b81461c865cb9f947367002cb75bf72550c4572d02e97",
@@ -136,6 +136,32 @@
}
],
"empirical_validation": "not_run",
+ "applicability": {
+ "scope": "Diagnosing the serving-level weight load path from storage to device and choosing changes to it when startup or loading latency dominates: locating the cost by source, format, placement and duplication, accounting once-per-process loading and warmup apart from per-request cost, verifying sharded downloads, restricting device-side prefetch to profiled memory-bound hot spots and ordering CPU-tier offload; also covers source-scoped disk-loading modes, pinned staging, synchronous checkpoint save semantics, fastsafetensors broadcast/scatter/coalesced delivery and the separation of model preparation from serving. Request-time host overhead belongs to host-overhead-profiling, DCP asynchronous save performance to dcp-async-save-performance and distributed recovery validity to checkpoint-recovery-consistency",
+ "prerequisites": "Flag names and API entry paths are re-verified against the pinned source revisions, and torch_npu.npu_prefetch details against the target CANN version, before they are relied on; card state is checked before launch and process placement fixed before measuring, through ascend-device-health and os-process-placement; the Diffusers enable_model_cpu_offload path requires accelerate",
+ "input_contract": "The current load path's byte source, file format, host-first or direct device placement and duplicated copies across processes or instances; startup timings for loading and warmup with byte and access counts per segment, and the expected warmup hit criteria; the safetensors index weight_map and the downloaded shard set; a profile showing memory-bound hot spots and the adjacent compute or communication segments; free device memory and whether an OOM occurs during construction or inference; for cross-rank delivery, the file-to-loader-group-rank map, tensor names, shapes, dtypes and call order, the required replicated or sliced output, the model's expected shard layout and the collective backend",
+ "produced_artifact": "The located load-path cost on the four dimensions with its matching lever, a startup ledger that keeps fixed overhead apart from per-request cost, a structural shard-completeness result naming the missing shards, a prefetch proposal behind an enable_prefetch switch defaulting to False or a recorded decision not to prefetch, an offload candidate order, the recorded loading mode, a distributed delivery choice with its proposed verification, and a preparation/serving record of serialized and rebuilt state, live resource owners and ABI/prepared-contract versions; proposed changes and verification targets, not a measured startup or delivery gain",
+ "failure_modes": [
+ "Loading and warmup are amortized into per-request latency, or a host segment without timing points is treated as costing nothing",
+ "Warmup is accepted on total time while mismatched warmup shapes have warmed a different set of cache entries",
+ "In-flight .incomplete shards are re-downloaded as corrupt, or gap-free shard numbering is accepted without matching the index weight_map",
+ "Prefetch is forced without a profiled memory-bound hot spot or a non-memory-bound dependency window",
+ "Resolution or CFG tier-downs are applied to a construction-phase OOM, or offload is adopted when compute already hides the transfer",
+ "A free-memory probe runs on an mmap-backed load, or a run whose first mlock failure latched with only a warning is treated as fully resident",
+ "Disk counters that include cache and pipes are read as physical writes, or a run without a page-cache drop is reported as a cold start",
+ "The ceil-block scatter partition is used without checking it against the model's expected shard layout, or ranks run different orders or plans so their collectives mismatch",
+ "A faster H2D copy, local clone or rank-local filtered read is counted as a cross-rank communication gain"
+ ],
+ "refusal_point": "Withholds a load-path win until the verification checklist holds and keeps the distributed-delivery checks as verification targets rather than results; does not force prefetch without a safe dependency window and disables it when neither a smaller size nor a moved position removes a regression; records unsupported save behaviors as unknown; rejects mismatched execution ABI or prepared-contract versions instead of editing their tags; and implies no Ascend support from the llama.cpp or fastsafetensors mechanisms",
+ "hardware": "NPU for the device-side prefetch API (torch_npu.npu_prefetch, checked against the target CANN version) and the Diffusers offload playbook; the prefetch and fastsafetensors methodology transfers while the fastsafetensors and llama.cpp APIs do not, and cross-rank completion follows each collective backend's own wait contract"
+ },
+ "recommendations": [
+ "Report preparation/startup/readiness, warmups and measured work as separate numbers, with load latency split into init, header, io and get phases, the cold-cache protocol stated and the effective loading mode identical across compared runs.",
+ "Place each prefetch behind an enable_prefetch switch defaulting to False, start max_size at 50% of the theoretical size, verify a single operator first and step up to 0.7 and then 1.0 only after verified wins.",
+ "Try offload candidates in order of change surface: batch size, resolution, CFG/feature flags, CPU or layered offload, tensor-parallel degree, then activation checkpointing; re-estimate the un-overlapped transfer share after adopting each tier.",
+ "Record whole-set atomic publication, asynchronous checkpointing, multi-rank save coordination and crash durability as unknown for the fastsafetensors saver instead of assuming them.",
+ "Before adopting coalesced delivery, compare it disabled and enabled with identical checkpoint, rank mapping, backend, topology, dtype, cache state, chunk/queue budgets and consumer retention, then measure complete startup under the same accounting protocol."
+ ],
"limitations": [
"Source-derived candidate; no local efficacy validation.",
"Normalized provenance covers the existing llama.cpp loading slice at 3e390af18de1131dda27913c00511725b4274c8a and the fastsafetensors distributed-delivery slice at 219e2561a41ede2d5d8eba611c248bb0effbf580; other inherited claims remain unnormalized with original identities and limits retained.",
@@ -150,10 +176,31 @@
],
"consumption_mode": "packaged"
},
- "applicability": {},
+ "applicability": {
+ "scope": "Diagnosing the serving-level weight load path from storage to device and choosing changes to it when startup or loading latency dominates: locating the cost by source, format, placement and duplication, accounting once-per-process loading and warmup apart from per-request cost, verifying sharded downloads, restricting device-side prefetch to profiled memory-bound hot spots and ordering CPU-tier offload; also covers source-scoped disk-loading modes, pinned staging, synchronous checkpoint save semantics, fastsafetensors broadcast/scatter/coalesced delivery and the separation of model preparation from serving. Request-time host overhead belongs to host-overhead-profiling, DCP asynchronous save performance to dcp-async-save-performance and distributed recovery validity to checkpoint-recovery-consistency",
+ "prerequisites": "Flag names and API entry paths are re-verified against the pinned source revisions, and torch_npu.npu_prefetch details against the target CANN version, before they are relied on; card state is checked before launch and process placement fixed before measuring, through ascend-device-health and os-process-placement; the Diffusers enable_model_cpu_offload path requires accelerate",
+ "input_contract": "The current load path's byte source, file format, host-first or direct device placement and duplicated copies across processes or instances; startup timings for loading and warmup with byte and access counts per segment, and the expected warmup hit criteria; the safetensors index weight_map and the downloaded shard set; a profile showing memory-bound hot spots and the adjacent compute or communication segments; free device memory and whether an OOM occurs during construction or inference; for cross-rank delivery, the file-to-loader-group-rank map, tensor names, shapes, dtypes and call order, the required replicated or sliced output, the model's expected shard layout and the collective backend",
+ "produced_artifact": "The located load-path cost on the four dimensions with its matching lever, a startup ledger that keeps fixed overhead apart from per-request cost, a structural shard-completeness result naming the missing shards, a prefetch proposal behind an enable_prefetch switch defaulting to False or a recorded decision not to prefetch, an offload candidate order, the recorded loading mode, a distributed delivery choice with its proposed verification, and a preparation/serving record of serialized and rebuilt state, live resource owners and ABI/prepared-contract versions; proposed changes and verification targets, not a measured startup or delivery gain",
+ "failure_modes": [
+ "Loading and warmup are amortized into per-request latency, or a host segment without timing points is treated as costing nothing",
+ "Warmup is accepted on total time while mismatched warmup shapes have warmed a different set of cache entries",
+ "In-flight .incomplete shards are re-downloaded as corrupt, or gap-free shard numbering is accepted without matching the index weight_map",
+ "Prefetch is forced without a profiled memory-bound hot spot or a non-memory-bound dependency window",
+ "Resolution or CFG tier-downs are applied to a construction-phase OOM, or offload is adopted when compute already hides the transfer",
+ "A free-memory probe runs on an mmap-backed load, or a run whose first mlock failure latched with only a warning is treated as fully resident",
+ "Disk counters that include cache and pipes are read as physical writes, or a run without a page-cache drop is reported as a cold start",
+ "The ceil-block scatter partition is used without checking it against the model's expected shard layout, or ranks run different orders or plans so their collectives mismatch",
+ "A faster H2D copy, local clone or rank-local filtered read is counted as a cross-rank communication gain"
+ ],
+ "refusal_point": "Withholds a load-path win until the verification checklist holds and keeps the distributed-delivery checks as verification targets rather than results; does not force prefetch without a safe dependency window and disables it when neither a smaller size nor a moved position removes a regression; records unsupported save behaviors as unknown; rejects mismatched execution ABI or prepared-contract versions instead of editing their tags; and implies no Ascend support from the llama.cpp or fastsafetensors mechanisms",
+ "hardware": "NPU for the device-side prefetch API (torch_npu.npu_prefetch, checked against the target CANN version) and the Diffusers offload playbook; the prefetch and fastsafetensors methodology transfers while the fastsafetensors and llama.cpp APIs do not, and cross-rank completion follows each collective backend's own wait contract"
+ },
"recommendations": [
- "Read the pinned SKILL.md and its prerequisites before choosing this procedure.",
- "Read the packaged references and owner-local cases alongside the procedure."
+ "Report preparation/startup/readiness, warmups and measured work as separate numbers, with load latency split into init, header, io and get phases, the cold-cache protocol stated and the effective loading mode identical across compared runs.",
+ "Place each prefetch behind an enable_prefetch switch defaulting to False, start max_size at 50% of the theoretical size, verify a single operator first and step up to 0.7 and then 1.0 only after verified wins.",
+ "Try offload candidates in order of change surface: batch size, resolution, CFG/feature flags, CPU or layered offload, tensor-parallel degree, then activation checkpointing; re-estimate the un-overlapped transfer share after adopting each tier.",
+ "Record whole-set atomic publication, asynchronous checkpointing, multi-rank save coordination and crash durability as unknown for the fastsafetensors saver instead of assuming them.",
+ "Before adopting coalesced delivery, compare it disabled and enabled with identical checkpoint, rank mapping, backend, topology, dtype, cache state, chunk/queue budgets and consumer retention, then measure complete startup under the same accounting protocol."
],
"limitations": [
"This generated abstract points to the complete packaged skill; external evidence and upstream repositories remain source links.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
index 438723ba8..a386f9c06 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
index d9f3e6d7d..6a42f6fa8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/LICENSE",
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
index 9eca28b37..16f8ae039 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
index a470ca646..3aec0bf03 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
index 058605427..e04877f2a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
@@ -36,8 +36,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/bde70d82bb65cc2e5dcd0f9d33cda5d38091120b/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
- "commit": "bde70d82bb65cc2e5dcd0f9d33cda5d38091120b",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
+ "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json",
From 5b9cf9aa63b893d228d257960f8cc6ef72d12717 Mon Sep 17 00:00:00 2001
From: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Date: Sat, 31 Oct 2026 12:03:02 +0800
Subject: [PATCH 4/8] docs: preserve unsupported variant route in kernel
guidance
Retain unsupported dtype, shape or quantization variants as a separate
reason to write a kernel in the artifact, refusal and first advice fields.
Keep verification before benchmarking and the existing evidence limits.
Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (source fidelity fix)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
---
.../methods/kernel-writing-guide/metadata.json | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json b/src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json
index 61d811ebe..cc50284f2 100644
--- a/src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json
+++ b/src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json
@@ -160,7 +160,7 @@
"scope": "Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton, CuTe DSL, CUDA C++, AscendC or TileIR, applying framework-independent correctness rules, and verifying the executing kernel against a reference before benchmarking; covers fused elementwise chains, reductions, tiled GEMM, attention variants, custom collectives, causal convolution and stateful serving-operator qualification",
"prerequisites": "The applicable operator, caller/state and layout contracts are read before substitution, including the causal-conv1d contract and HF Qwen3.5 GDN binding; the CuTe DSL environment uses Linux x86_64, Python 3.10–3.13 and Ampere+ (SM80+) with nvidia-cutlass-dsl installed and no NPU target; the CANN programming guide for the specific SoC is consulted for AscendC",
"input_contract": "The candidate operation or operation chain, its shapes, dtypes, quantization and layout requirements, and the target execution phase; the target accelerator and framework constraints; for serving operators, the concrete caller, effective phase and backend, state-row mapping, cache or buffer lifetime and in-place-write behavior; a reference implementation with the same signature, a callable kernel wrapper and fresh CUDA or NPU test tensors; verification shapes and dtypes plus profiler output for the target metric",
- "produced_artifact": "A write-or-decline decision for the candidate operation with the profiled bottleneck or fusable pair that justifies it, a framework choice routed by pattern and accelerator, a correctness checklist covering fp32 transcendental round-trips, sync-free wrappers, C division semantics, pre-allocated outputs, fp32 matmul accumulators and masked boundary loads and stores, a starting block or tile size with its autotune and warmup cost noted, a kernel shipping kernel_fn, reference_fn and get_inputs, a reference-parity result across the verification shapes and dtypes, and a post-verification profiler reading on the target metric; for an existing causal-convolution or stateful serving operator, a qualification record naming the caller, phase, backend, state rows and in-place writes, with source selection kept apart from executed dispatch; a routing and correctness decision, not a complete implementation or a measured speedup",
+ "produced_artifact": "A write-or-decline decision for the candidate operation with the profiled bottleneck, fusable pair or required dtype, shape or quantization variant unsupported by the standard implementation that justifies it, a framework choice routed by pattern and accelerator, a correctness checklist covering fp32 transcendental round-trips, sync-free wrappers, C division semantics, pre-allocated outputs, fp32 matmul accumulators and masked boundary loads and stores, a starting block or tile size with its autotune and warmup cost noted, a kernel shipping kernel_fn, reference_fn and get_inputs, a reference-parity result across the verification shapes and dtypes, and a post-verification profiler reading on the target metric; for an existing causal-convolution or stateful serving operator, a qualification record naming the caller, phase, backend, state rows and in-place writes, with source selection kept apart from executed dispatch; a routing and correctness decision, not a complete implementation or a measured speedup",
"failure_modes": [
"A kernel is written for a standalone elementwise op, a standalone matmul or standard attention where the vendor library already wins",
"Host-side scheduling cost is treated as a kernel problem instead of being routed to host-overhead-profiling",
@@ -176,11 +176,11 @@
"A causal-conv1d or GDN operator is substituted on build success, import success or matching names without resolving dtype, strides, packed boundaries, state rows and cursors",
"An in-tree vLLM wrapper, a GDN prefill flag or a cache-free classification adapter is read as establishing the executed convolution path or generation-state support"
],
- "refusal_point": "Declines to start a kernel until a profiler puts the target on the critical path near its hardware ceiling or names a concrete fusable pair, and sends host-bound cases elsewhere; refuses to benchmark an unverified kernel and withholds a gain whose profiler metric did not move; keeps operator source selection separate from executed dispatch, numerical parity and hardware qualification, so build or import success qualifies nothing; treats AscendC and TileIR content as source-inferred pending CANN and SoC verification with no local NPU run, treats the AKG Affine FileCheck expectations as IR structure rather than executed CUDA correctness, and reads author-reported overlap and FP8 cases as counterexamples to unconditional tuning rules; claims no Ascend support from NVIDIA primitives",
+ "refusal_point": "Declines to start a kernel until a profiler puts the target on the critical path near its hardware ceiling, a concrete fusable pair is identified, or the required dtype, shape or quantization variant is unsupported by the standard implementation, and sends host-bound cases elsewhere; refuses to benchmark an unverified kernel and withholds a gain whose profiler metric did not move; keeps operator source selection separate from executed dispatch, numerical parity and hardware qualification, so build or import success qualifies nothing; treats AscendC and TileIR content as source-inferred pending CANN and SoC verification with no local NPU run, treats the AKG Affine FileCheck expectations as IR structure rather than executed CUDA correctness, and reads author-reported overlap and FP8 cases as counterexamples to unconditional tuning rules; claims no Ascend support from NVIDIA primitives",
"hardware": "CUDA Ampere+ and Ascend NPU have separate framework routes for each kernel pattern; CuTe DSL requires Linux x86_64, Python 3.10-3.13 and SM80+ with nvidia-cutlass-dsl and is unavailable on NPU; profiling uses ncu on CUDA and msprof on Ascend; the AscendC and TileIR guidance is source-inferred with no local NPU verification and requires validation against the specific CANN version and SoC"
},
"recommendations": [
- "Confirm with nsys/ncu or msprof that the target kernel sits on the critical path near its hardware ceiling, or name the adjacent operations whose shared data would otherwise round-trip through DRAM, before writing any kernel.",
+ "Confirm with nsys/ncu or msprof that the target kernel sits on the critical path near its hardware ceiling, name the adjacent operations whose shared data would otherwise round-trip through DRAM, or identify a required dtype, shape or quantization variant unsupported by the standard implementation, before writing any kernel.",
"Ship every kernel with kernel_fn, reference_fn and get_inputs, pass reference parity across the verification shapes and dtypes first, and profile afterwards to confirm the target metric actually moved.",
"Cast fp16/bf16 to fp32 and back for any math beyond +, -, * and /, declare tl.dot accumulators as tl.float32, and mask every load and store whose shape does not divide the block size.",
"Start Triton at BLOCK_SIZE 1024 on Hopper and 512 on Ampere using powers of two, take GEMM tiles from the source skeleton configs (128/256/64 for Hopper, 64/128/32 for smaller cards) and autotune from there.",
From b4174929dbd4909b8ac840562798aec72ed66e36 Mon Sep 17 00:00:00 2001
From: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Date: Sat, 31 Oct 2026 12:08:40 +0800
Subject: [PATCH 5/8] docs: regenerate skill projections after kernel route fix
Pin the canonical skill index to the reachable corrected source commit
and refresh the coverage view from the same committed input bytes.
Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (generated projections and validation)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
---
docs/skill-coverage.md | 2 +-
.../repo_packs/inferrsi/knowledge/README.md | 4 ++--
.../skills/ascend-aclgraph-capture-replay.json | 4 ++--
.../ascend/skills/ascend-device-health.json | 4 ++--
.../skills/ascend-distributed-parallel.json | 4 ++--
.../ascend/skills/ascend-graph-mode.json | 4 ++--
.../ascend/skills/ascend-model-adaptation.json | 4 ++--
.../skills/ascend-operator-profiling.json | 4 ++--
.../ascend/skills/ascend-operator-tuning.json | 4 ++--
.../skills/ascend-optimization-casebook.json | 4 ++--
.../skills/ascend-performance-analysis.json | 4 ++--
.../ascend-video-diffusion-optimization.json | 4 ++--
.../ascend/skills/ascendc-tiling-design.json | 4 ++--
.../skills/cann-attribution-overlap.json | 4 ++--
.../torchnpu-device-memory-lifecycle.json | 4 ++--
.../torchnpu-pinned-host-memory-lifecycle.json | 4 ++--
.../skills/assess-serving-preemption.json | 4 ++--
.../skills/assess-split-backward-schedule.json | 4 ++--
.../skills/audit-fixed-workload-claim.json | 4 ++--
.../audit-h3-metal-fasth3-semantics.json | 4 ++--
.../skills/audit-h3-runtime-residency.json | 4 ++--
.../skills/audit-llama-runtime-state.json | 4 ++--
.../audit-recurrent-kv-finalization.json | 4 ++--
.../common/skills/audit-sd-cpp-residency.json | 4 ++--
.../audit-sglang-diffusion-lifetimes.json | 4 ++--
.../common/skills/audit-vllm-kv-lifetimes.json | 4 ++--
.../bound-windowed-attention-replay.json | 4 ++--
.../budget-speculative-verification.json | 4 ++--
.../skills/calibrate-serving-simulation.json | 4 ++--
.../skills/cgroup-resource-controls.json | 4 ++--
.../checkpoint-recovery-consistency.json | 4 ++--
.../skills/choose-parallel-training-plan.json | 4 ++--
.../skills/cite-check-downstream-pr.json | 4 ++--
.../common/skills/claim-contract.json | 4 ++--
.../knowledge/common/skills/comfy-ui.json | 4 ++--
.../common/skills/competitor-scan.json | 4 ++--
.../skills/dcp-async-save-performance.json | 4 ++--
.../skills/dense-performance-evidence.json | 4 ++--
.../diagnose-vllm-admission-pressure.json | 4 ++--
.../skills/diffusers-invocation-state.json | 4 ++--
.../common/skills/draft-acceptance-issue.json | 4 ++--
.../knowledge/common/skills/dwarfstar.json | 4 ++--
.../evaluate-elastic-serving-placement.json | 4 ++--
.../skills/generation-cache-lifecycle.json | 4 ++--
.../common/skills/host-memory-management.json | 4 ++--
.../skills/host-overhead-optimization.json | 4 ++--
.../knowledge/common/skills/husky.json | 4 ++--
.../skills/inference-benchmark-design.json | 4 ++--
.../inference-optimization-casebook.json | 4 ++--
.../common/skills/kernel-writing-guide.json | 18 +++++++++---------
.../common/skills/kv-tier-management.json | 4 ++--
.../lazy-evaluation-stream-lifetimes.json | 4 ++--
.../inferrsi/knowledge/common/skills/lily.json | 4 ++--
.../knowledge/common/skills/lithos-metal.json | 4 ++--
.../knowledge/common/skills/local-dream.json | 4 ++--
.../knowledge/common/skills/mistral-rs.json | 4 ++--
.../knowledge/common/skills/mlc-llm.json | 4 ++--
.../knowledge/common/skills/mlx-swift-lm.json | 4 ++--
.../common/skills/npu-skill-factory.json | 4 ++--
.../skills/optimization-search-policy.json | 4 ++--
.../common/skills/os-process-placement.json | 4 ++--
.../skills/performance-ceiling-analysis.json | 4 ++--
.../skills/plan-activation-residency.json | 4 ++--
.../knowledge/common/skills/project-maya.json | 4 ++--
.../skills/repository-evolution-analysis.json | 4 ++--
.../knowledge/common/skills/rsi-evidence.json | 4 ++--
.../skills/skill-evolution-playbook.json | 4 ++--
.../knowledge/common/skills/splash.json | 4 ++--
.../common/skills/storage-io-measurement.json | 4 ++--
.../common/skills/training-input-pipeline.json | 4 ++--
.../skills/training-resource-budget.json | 4 ++--
.../skills/video-diffusion-optimization.json | 4 ++--
.../knowledge/common/skills/vllm-metal.json | 4 ++--
.../skills/weight-loading-optimization.json | 4 ++--
.../cuda/skills/audit-afd-p2p-exchanges.json | 4 ++--
.../skills/audit-flare-session-lifecycle.json | 4 ++--
.../skills/diagnose-attention-bottlenecks.json | 4 ++--
.../cuda/skills/host-overhead-profiling.json | 4 ++--
.../cuda/skills/reason-hopper-kernels.json | 4 ++--
79 files changed, 164 insertions(+), 164 deletions(-)
diff --git a/docs/skill-coverage.md b/docs/skill-coverage.md
index e6e8498ce..7a86c9102 100644
--- a/docs/skill-coverage.md
+++ b/docs/skill-coverage.md
@@ -4,7 +4,7 @@ Generated from the registry, the skill sidecars and the two maintained
matrices. **Do not edit by hand**; regenerate after any registry, skill,
matrix or frozen-plan change.
-- Input digest: `sha256:2b169012f9cc99e9f563a5717ed04926a99b24ad059fa777d2e79ebd8b75eac6`
+- Input digest: `sha256:5ef714f158347c2eb7da3cdf956fc53469d27e1551783ce36a08c12e9e8106ee`
- Regenerate: `python tools/build_skill_coverage.py`
- Verify without writing: `python tools/build_skill_coverage.py --check`
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
index 4429114ac..375c135a3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
@@ -15,7 +15,7 @@ These are knowledge abstracts (`--kind knowledge`), with namespaced package
IDs distinct from explicitly selected `checkout_ref` skills. Ascend/CUDA
procedures use their corresponding backend; shared methods use `common`.
-Source snapshot: [ebb4349ac4b24b520502278359b38fa919d59e84](https://github.com/InferMatrixLab/InferRSI/tree/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library).
+Source snapshot: [5b9cf9aa63b893d228d257960f8cc6ef72d12717](https://github.com/InferMatrixLab/InferRSI/tree/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library).
```bash
inferrsi knowledge search 'profiling' --repo-type inferrsi --limit 50
@@ -29,7 +29,7 @@ contain the current input paths and bytes (Git checkout filters are respected).
```bash
python tools/build_skill_index.py --source-revision
-python tools/build_skill_index.py --source-revision ebb4349ac4b24b520502278359b38fa919d59e84 --check
+python tools/build_skill_index.py --source-revision 5b9cf9aa63b893d228d257960f8cc6ef72d12717 --check
```
`--check` detects missing, stale and unexpected generated records without writing.
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
index 27fe09641..5d3817dfe 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
index 2b3b237a2..87af5efd9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
index e17ae6aab..85bb68ddd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
index 0aaaf6abc..f7f30fe0e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
index a40a2569d..cf413f3c0 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
index 940eed32c..f676e24be 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
index 4f4ffb99b..2d7f71108 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
index 068e62772..787d5c5c4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
index 7aa8e07ec..10676bca6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
@@ -22,8 +22,8 @@
"sources": [
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- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
index 88de1d745..19456eb92 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
index f55f0cd1e..bae5a3f67 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
index ee8be40e1..4802e8e64 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
@@ -24,8 +24,8 @@
"sources": [
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- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
index 8de912526..9e84bfc04 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
@@ -22,8 +22,8 @@
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- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
index fffcf318b..a73df69a4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
index 577676261..17cde0b85 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
@@ -16,8 +16,8 @@
"sources": [
{
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- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
index 6a210b9ef..93192fe14 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
@@ -16,8 +16,8 @@
"sources": [
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- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
index e9c0dca10..2e9469a30 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
@@ -20,8 +20,8 @@
"sources": [
{
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- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
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"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
index 519a36f7f..1778da295 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
@@ -29,8 +29,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
index 49bb8721b..1aa959df7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
@@ -30,8 +30,8 @@
"sources": [
{
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- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
index cfebf9e43..fe78bbd8a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
@@ -23,8 +23,8 @@
"sources": [
{
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- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
index a43157dab..51df2f700 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
@@ -26,8 +26,8 @@
"sources": [
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- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
index 5cb24da78..0f9f8cad3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
@@ -25,8 +25,8 @@
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- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
index 981ef0412..a05fe72e5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/LICENSE",
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
index 465a93157..c31f22ec5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
index ac0ea8172..59b96b298 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
"src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
index de510d657..93352061d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
"src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
index b0c11db29..db9431983 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
@@ -16,8 +16,8 @@
"sources": [
{
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- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
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"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
index a245861a4..412e68d90 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
@@ -25,8 +25,8 @@
"sources": [
{
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- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
index c114a0308..ed02c221e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
index b6ed61ed4..04a795cb1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
@@ -16,8 +16,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
index 9f87077f9..3292ed63c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
index 778cf7715..fd09f1c67 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
index 42f9cacfd..a20eb54b3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/comfy-ui/LICENSE",
"src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
index db110ed5a..9c8be7b6c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
index 4f1a9f715..27342f77b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
index 3139b0ace..6543136c5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
@@ -21,8 +21,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
index c8dbd6de4..6eabc3470 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
@@ -21,8 +21,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
index 113746638..f84857fed 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
index 54812d66b..d829ab367 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
@@ -22,8 +22,8 @@
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{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
index b25c1d5bb..9454eb855 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/dwarfstar/LICENSE",
"src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
index fa0a8ca90..6e3f14c2a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
index aef0b3742..e43e1ca6e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
index 15975dba8..414ece27c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
index ff98d3a26..bc554ea26 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
index 523f561ad..15a394402 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
"src/inferrsi/data/skill_library/repositories/husky/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
index e6bf1c91f..6a3fd734e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
index 3f40b57b2..0220982c1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/admission-drain-occupancy.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
index 21d1ac1a3..346d0bdbe 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
@@ -39,8 +39,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/causal-conv1d-dispatch-state.md",
@@ -79,7 +79,7 @@
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/vllm-gdn-causal-conv-contract.md": "2f3dcee66e2dfe7a98bee21a36b892538998de5de3caf1bc63257137f9984236",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/vllm-gdn-source-contract.json": "73f1a2d8fa89ce05aead2091a05a285b13cbdc314d05452c35c6a2ad15ffeff7",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/vllm-gdn-source-contract.md": "7f9ebe8de7e55d3db2a119b6a56e15c37448fd7d4e022a47122a143206d31687",
- "src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json": "b1b729dcfcdd28835f9cefd98aa6f54da7642e056888f643b890f6ca2894bb99",
+ "src/inferrsi/data/skill_library/methods/kernel-writing-guide/metadata.json": "766aa688d573c790789e2836f952315e91c4e06806fca3d04523a8a748bf9c32",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/akg-affine-tail-guards.md": "113deb2db10b171db3425bb3f1792bee763706b794c8cc2e222b4cc0d0114118",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/causal-conv1d-contract.md": "b3a6245cf5e9deeba0dffd4a15ddcf97da6a4315f4d3131921779438832663ad",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/references/hf-qwen35-gdn-binding.md": "848d3c99b47ef711e8820bbc4f6bcbd1db7211197811c9d855201025448d806b",
@@ -255,7 +255,7 @@
"scope": "Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton, CuTe DSL, CUDA C++, AscendC or TileIR, applying framework-independent correctness rules, and verifying the executing kernel against a reference before benchmarking; covers fused elementwise chains, reductions, tiled GEMM, attention variants, custom collectives, causal convolution and stateful serving-operator qualification",
"prerequisites": "The applicable operator, caller/state and layout contracts are read before substitution, including the causal-conv1d contract and HF Qwen3.5 GDN binding; the CuTe DSL environment uses Linux x86_64, Python 3.10–3.13 and Ampere+ (SM80+) with nvidia-cutlass-dsl installed and no NPU target; the CANN programming guide for the specific SoC is consulted for AscendC",
"input_contract": "The candidate operation or operation chain, its shapes, dtypes, quantization and layout requirements, and the target execution phase; the target accelerator and framework constraints; for serving operators, the concrete caller, effective phase and backend, state-row mapping, cache or buffer lifetime and in-place-write behavior; a reference implementation with the same signature, a callable kernel wrapper and fresh CUDA or NPU test tensors; verification shapes and dtypes plus profiler output for the target metric",
- "produced_artifact": "A write-or-decline decision for the candidate operation with the profiled bottleneck or fusable pair that justifies it, a framework choice routed by pattern and accelerator, a correctness checklist covering fp32 transcendental round-trips, sync-free wrappers, C division semantics, pre-allocated outputs, fp32 matmul accumulators and masked boundary loads and stores, a starting block or tile size with its autotune and warmup cost noted, a kernel shipping kernel_fn, reference_fn and get_inputs, a reference-parity result across the verification shapes and dtypes, and a post-verification profiler reading on the target metric; for an existing causal-convolution or stateful serving operator, a qualification record naming the caller, phase, backend, state rows and in-place writes, with source selection kept apart from executed dispatch; a routing and correctness decision, not a complete implementation or a measured speedup",
+ "produced_artifact": "A write-or-decline decision for the candidate operation with the profiled bottleneck, fusable pair or required dtype, shape or quantization variant unsupported by the standard implementation that justifies it, a framework choice routed by pattern and accelerator, a correctness checklist covering fp32 transcendental round-trips, sync-free wrappers, C division semantics, pre-allocated outputs, fp32 matmul accumulators and masked boundary loads and stores, a starting block or tile size with its autotune and warmup cost noted, a kernel shipping kernel_fn, reference_fn and get_inputs, a reference-parity result across the verification shapes and dtypes, and a post-verification profiler reading on the target metric; for an existing causal-convolution or stateful serving operator, a qualification record naming the caller, phase, backend, state rows and in-place writes, with source selection kept apart from executed dispatch; a routing and correctness decision, not a complete implementation or a measured speedup",
"failure_modes": [
"A kernel is written for a standalone elementwise op, a standalone matmul or standard attention where the vendor library already wins",
"Host-side scheduling cost is treated as a kernel problem instead of being routed to host-overhead-profiling",
@@ -271,11 +271,11 @@
"A causal-conv1d or GDN operator is substituted on build success, import success or matching names without resolving dtype, strides, packed boundaries, state rows and cursors",
"An in-tree vLLM wrapper, a GDN prefill flag or a cache-free classification adapter is read as establishing the executed convolution path or generation-state support"
],
- "refusal_point": "Declines to start a kernel until a profiler puts the target on the critical path near its hardware ceiling or names a concrete fusable pair, and sends host-bound cases elsewhere; refuses to benchmark an unverified kernel and withholds a gain whose profiler metric did not move; keeps operator source selection separate from executed dispatch, numerical parity and hardware qualification, so build or import success qualifies nothing; treats AscendC and TileIR content as source-inferred pending CANN and SoC verification with no local NPU run, treats the AKG Affine FileCheck expectations as IR structure rather than executed CUDA correctness, and reads author-reported overlap and FP8 cases as counterexamples to unconditional tuning rules; claims no Ascend support from NVIDIA primitives",
+ "refusal_point": "Declines to start a kernel until a profiler puts the target on the critical path near its hardware ceiling, a concrete fusable pair is identified, or the required dtype, shape or quantization variant is unsupported by the standard implementation, and sends host-bound cases elsewhere; refuses to benchmark an unverified kernel and withholds a gain whose profiler metric did not move; keeps operator source selection separate from executed dispatch, numerical parity and hardware qualification, so build or import success qualifies nothing; treats AscendC and TileIR content as source-inferred pending CANN and SoC verification with no local NPU run, treats the AKG Affine FileCheck expectations as IR structure rather than executed CUDA correctness, and reads author-reported overlap and FP8 cases as counterexamples to unconditional tuning rules; claims no Ascend support from NVIDIA primitives",
"hardware": "CUDA Ampere+ and Ascend NPU have separate framework routes for each kernel pattern; CuTe DSL requires Linux x86_64, Python 3.10-3.13 and SM80+ with nvidia-cutlass-dsl and is unavailable on NPU; profiling uses ncu on CUDA and msprof on Ascend; the AscendC and TileIR guidance is source-inferred with no local NPU verification and requires validation against the specific CANN version and SoC"
},
"recommendations": [
- "Confirm with nsys/ncu or msprof that the target kernel sits on the critical path near its hardware ceiling, or name the adjacent operations whose shared data would otherwise round-trip through DRAM, before writing any kernel.",
+ "Confirm with nsys/ncu or msprof that the target kernel sits on the critical path near its hardware ceiling, name the adjacent operations whose shared data would otherwise round-trip through DRAM, or identify a required dtype, shape or quantization variant unsupported by the standard implementation, before writing any kernel.",
"Ship every kernel with kernel_fn, reference_fn and get_inputs, pass reference parity across the verification shapes and dtypes first, and profile afterwards to confirm the target metric actually moved.",
"Cast fp16/bf16 to fp32 and back for any math beyond +, -, * and /, declare tl.dot accumulators as tl.float32, and mask every load and store whose shape does not divide the block size.",
"Start Triton at BLOCK_SIZE 1024 on Hopper and 512 on Ampere using powers of two, take GEMM tiles from the source skeleton configs (128/256/64 for Hopper, 64/128/32 for smaller cards) and autotune from there.",
@@ -305,7 +305,7 @@
"scope": "Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton, CuTe DSL, CUDA C++, AscendC or TileIR, applying framework-independent correctness rules, and verifying the executing kernel against a reference before benchmarking; covers fused elementwise chains, reductions, tiled GEMM, attention variants, custom collectives, causal convolution and stateful serving-operator qualification",
"prerequisites": "The applicable operator, caller/state and layout contracts are read before substitution, including the causal-conv1d contract and HF Qwen3.5 GDN binding; the CuTe DSL environment uses Linux x86_64, Python 3.10–3.13 and Ampere+ (SM80+) with nvidia-cutlass-dsl installed and no NPU target; the CANN programming guide for the specific SoC is consulted for AscendC",
"input_contract": "The candidate operation or operation chain, its shapes, dtypes, quantization and layout requirements, and the target execution phase; the target accelerator and framework constraints; for serving operators, the concrete caller, effective phase and backend, state-row mapping, cache or buffer lifetime and in-place-write behavior; a reference implementation with the same signature, a callable kernel wrapper and fresh CUDA or NPU test tensors; verification shapes and dtypes plus profiler output for the target metric",
- "produced_artifact": "A write-or-decline decision for the candidate operation with the profiled bottleneck or fusable pair that justifies it, a framework choice routed by pattern and accelerator, a correctness checklist covering fp32 transcendental round-trips, sync-free wrappers, C division semantics, pre-allocated outputs, fp32 matmul accumulators and masked boundary loads and stores, a starting block or tile size with its autotune and warmup cost noted, a kernel shipping kernel_fn, reference_fn and get_inputs, a reference-parity result across the verification shapes and dtypes, and a post-verification profiler reading on the target metric; for an existing causal-convolution or stateful serving operator, a qualification record naming the caller, phase, backend, state rows and in-place writes, with source selection kept apart from executed dispatch; a routing and correctness decision, not a complete implementation or a measured speedup",
+ "produced_artifact": "A write-or-decline decision for the candidate operation with the profiled bottleneck, fusable pair or required dtype, shape or quantization variant unsupported by the standard implementation that justifies it, a framework choice routed by pattern and accelerator, a correctness checklist covering fp32 transcendental round-trips, sync-free wrappers, C division semantics, pre-allocated outputs, fp32 matmul accumulators and masked boundary loads and stores, a starting block or tile size with its autotune and warmup cost noted, a kernel shipping kernel_fn, reference_fn and get_inputs, a reference-parity result across the verification shapes and dtypes, and a post-verification profiler reading on the target metric; for an existing causal-convolution or stateful serving operator, a qualification record naming the caller, phase, backend, state rows and in-place writes, with source selection kept apart from executed dispatch; a routing and correctness decision, not a complete implementation or a measured speedup",
"failure_modes": [
"A kernel is written for a standalone elementwise op, a standalone matmul or standard attention where the vendor library already wins",
"Host-side scheduling cost is treated as a kernel problem instead of being routed to host-overhead-profiling",
@@ -321,11 +321,11 @@
"A causal-conv1d or GDN operator is substituted on build success, import success or matching names without resolving dtype, strides, packed boundaries, state rows and cursors",
"An in-tree vLLM wrapper, a GDN prefill flag or a cache-free classification adapter is read as establishing the executed convolution path or generation-state support"
],
- "refusal_point": "Declines to start a kernel until a profiler puts the target on the critical path near its hardware ceiling or names a concrete fusable pair, and sends host-bound cases elsewhere; refuses to benchmark an unverified kernel and withholds a gain whose profiler metric did not move; keeps operator source selection separate from executed dispatch, numerical parity and hardware qualification, so build or import success qualifies nothing; treats AscendC and TileIR content as source-inferred pending CANN and SoC verification with no local NPU run, treats the AKG Affine FileCheck expectations as IR structure rather than executed CUDA correctness, and reads author-reported overlap and FP8 cases as counterexamples to unconditional tuning rules; claims no Ascend support from NVIDIA primitives",
+ "refusal_point": "Declines to start a kernel until a profiler puts the target on the critical path near its hardware ceiling, a concrete fusable pair is identified, or the required dtype, shape or quantization variant is unsupported by the standard implementation, and sends host-bound cases elsewhere; refuses to benchmark an unverified kernel and withholds a gain whose profiler metric did not move; keeps operator source selection separate from executed dispatch, numerical parity and hardware qualification, so build or import success qualifies nothing; treats AscendC and TileIR content as source-inferred pending CANN and SoC verification with no local NPU run, treats the AKG Affine FileCheck expectations as IR structure rather than executed CUDA correctness, and reads author-reported overlap and FP8 cases as counterexamples to unconditional tuning rules; claims no Ascend support from NVIDIA primitives",
"hardware": "CUDA Ampere+ and Ascend NPU have separate framework routes for each kernel pattern; CuTe DSL requires Linux x86_64, Python 3.10-3.13 and SM80+ with nvidia-cutlass-dsl and is unavailable on NPU; profiling uses ncu on CUDA and msprof on Ascend; the AscendC and TileIR guidance is source-inferred with no local NPU verification and requires validation against the specific CANN version and SoC"
},
"recommendations": [
- "Confirm with nsys/ncu or msprof that the target kernel sits on the critical path near its hardware ceiling, or name the adjacent operations whose shared data would otherwise round-trip through DRAM, before writing any kernel.",
+ "Confirm with nsys/ncu or msprof that the target kernel sits on the critical path near its hardware ceiling, name the adjacent operations whose shared data would otherwise round-trip through DRAM, or identify a required dtype, shape or quantization variant unsupported by the standard implementation, before writing any kernel.",
"Ship every kernel with kernel_fn, reference_fn and get_inputs, pass reference parity across the verification shapes and dtypes first, and profile afterwards to confirm the target metric actually moved.",
"Cast fp16/bf16 to fp32 and back for any math beyond +, -, * and /, declare tl.dot accumulators as tl.float32, and mask every load and store whose shape does not divide the block size.",
"Start Triton at BLOCK_SIZE 1024 on Hopper and 512 on Ampere using powers of two, take GEMM tiles from the source skeleton configs (128/256/64 for Hopper, 64/128/32 for smaller cards) and autotune from there.",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
index 951ab7294..3efc255f4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
index 0f00fd8a2..bb94334a8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
index aceac867d..457badd2e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/lily/LICENSE",
"src/inferrsi/data/skill_library/repositories/lily/NOTICE.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
index d9d5f0de8..a699118cb 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/lithos-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
index 06e73252e..15dabfbec 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
"src/inferrsi/data/skill_library/repositories/local-dream/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
index 626715b90..95574ddc4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/mistral-rs/LICENSE",
"src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
index 7c33e405c..22742bf4c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlc-llm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
index 50f8bfeed..da439152d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
index f5aced826..a8bfcb764 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
index 00ed32be7..788a747e4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
index 1fdb9839b..9f51fe164 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
index c4911080e..47cb33d6b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
index c5cf3abc3..381d9c96a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
index 761252ab0..7e4635f6f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/project-maya/LICENSE",
"src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
index 6fcfbf182..4f55e8b46 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
index d2c985506..75c913984 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
index e1b2c0354..dcf7259ab 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
index 9ac647afc..055659413 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/splash/LICENSE",
"src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
index bb73e82e6..a00a82d7b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
index 521864782..e2ab00590 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
index 9183a3824..4e5fec933 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
index 03a3bf06c..ae5176923 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/assets/campaign.template.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
index 20cae0d14..aac67a607 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
index 5d32ffc93..1d7684435 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
index a386f9c06..e89c8cfb1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
index 6a42f6fa8..63ab48371 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/LICENSE",
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
index 16f8ae039..eee6a5816 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
index 3aec0bf03..dac9d7581 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
index e04877f2a..0a9624f64 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
@@ -36,8 +36,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/ebb4349ac4b24b520502278359b38fa919d59e84/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
- "commit": "ebb4349ac4b24b520502278359b38fa919d59e84",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
+ "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json",
From f61fd97ebdc49acebe2160324b4e8014a596ba8a Mon Sep 17 00:00:00 2001
From: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Date: Sat, 31 Oct 2026 12:23:59 +0800
Subject: [PATCH 6/8] docs: regenerate skill projections from the merged source
Pin the canonical catalog to the reachable source merge and refresh the
coverage view from the same committed input bytes.
Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (generated projections and validation)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
---
docs/skill-coverage.md | 4 ++--
.../repo_packs/inferrsi/knowledge/README.md | 4 ++--
.../ascend-aclgraph-capture-replay.json | 4 ++--
.../ascend/skills/ascend-device-health.json | 4 ++--
.../skills/ascend-distributed-parallel.json | 4 ++--
.../ascend/skills/ascend-graph-mode.json | 4 ++--
.../skills/ascend-model-adaptation.json | 4 ++--
.../skills/ascend-operator-profiling.json | 4 ++--
.../ascend/skills/ascend-operator-tuning.json | 4 ++--
.../skills/ascend-optimization-casebook.json | 4 ++--
.../skills/ascend-performance-analysis.json | 4 ++--
.../ascend-video-diffusion-optimization.json | 4 ++--
.../ascend/skills/ascendc-tiling-design.json | 4 ++--
.../skills/cann-attribution-overlap.json | 4 ++--
.../torchnpu-device-memory-lifecycle.json | 4 ++--
...torchnpu-pinned-host-memory-lifecycle.json | 4 ++--
.../skills/assess-serving-preemption.json | 4 ++--
.../assess-split-backward-schedule.json | 4 ++--
.../skills/audit-fixed-workload-claim.json | 4 ++--
.../audit-h3-metal-fasth3-semantics.json | 4 ++--
.../skills/audit-h3-runtime-residency.json | 4 ++--
.../skills/audit-llama-runtime-state.json | 4 ++--
.../audit-recurrent-kv-finalization.json | 4 ++--
.../common/skills/audit-sd-cpp-residency.json | 4 ++--
.../audit-sglang-diffusion-lifetimes.json | 4 ++--
.../skills/audit-vllm-kv-lifetimes.json | 4 ++--
.../bound-windowed-attention-replay.json | 4 ++--
.../budget-speculative-verification.json | 4 ++--
.../skills/calibrate-serving-simulation.json | 4 ++--
.../skills/cgroup-resource-controls.json | 4 ++--
.../checkpoint-recovery-consistency.json | 4 ++--
.../skills/choose-parallel-training-plan.json | 4 ++--
.../skills/cite-check-downstream-pr.json | 4 ++--
.../common/skills/claim-contract.json | 4 ++--
.../knowledge/common/skills/comfy-ui.json | 4 ++--
.../common/skills/competitor-scan.json | 4 ++--
.../skills/dcp-async-save-performance.json | 4 ++--
.../skills/dense-performance-evidence.json | 4 ++--
.../diagnose-vllm-admission-pressure.json | 4 ++--
.../skills/diffusers-invocation-state.json | 4 ++--
.../common/skills/draft-acceptance-issue.json | 4 ++--
.../knowledge/common/skills/dwarfstar.json | 4 ++--
.../evaluate-elastic-serving-placement.json | 4 ++--
.../skills/generation-cache-lifecycle.json | 4 ++--
.../common/skills/host-memory-management.json | 4 ++--
.../skills/host-overhead-optimization.json | 4 ++--
.../knowledge/common/skills/husky.json | 4 ++--
.../skills/inference-benchmark-design.json | 4 ++--
.../inference-optimization-casebook.json | 4 ++--
.../common/skills/kernel-writing-guide.json | 4 ++--
.../common/skills/kv-tier-management.json | 4 ++--
.../lazy-evaluation-stream-lifetimes.json | 4 ++--
.../knowledge/common/skills/lily.json | 4 ++--
.../knowledge/common/skills/lithos-metal.json | 4 ++--
.../knowledge/common/skills/local-dream.json | 4 ++--
.../knowledge/common/skills/mistral-rs.json | 4 ++--
.../knowledge/common/skills/mlc-llm.json | 4 ++--
.../knowledge/common/skills/mlx-swift-lm.json | 4 ++--
.../common/skills/npu-skill-factory.json | 4 ++--
.../skills/optimization-search-policy.json | 24 +++++++++++++------
.../common/skills/os-process-placement.json | 4 ++--
.../skills/performance-ceiling-analysis.json | 4 ++--
.../skills/plan-activation-residency.json | 4 ++--
.../knowledge/common/skills/project-maya.json | 4 ++--
.../skills/repository-evolution-analysis.json | 4 ++--
.../knowledge/common/skills/rsi-evidence.json | 4 ++--
.../skills/skill-evolution-playbook.json | 4 ++--
.../knowledge/common/skills/splash.json | 4 ++--
.../common/skills/storage-io-measurement.json | 4 ++--
.../skills/training-input-pipeline.json | 4 ++--
.../skills/training-resource-budget.json | 4 ++--
.../skills/video-diffusion-optimization.json | 4 ++--
.../knowledge/common/skills/vllm-metal.json | 4 ++--
.../skills/weight-loading-optimization.json | 4 ++--
.../cuda/skills/audit-afd-p2p-exchanges.json | 4 ++--
.../skills/audit-flare-session-lifecycle.json | 4 ++--
.../diagnose-attention-bottlenecks.json | 4 ++--
.../cuda/skills/host-overhead-profiling.json | 4 ++--
.../cuda/skills/reason-hopper-kernels.json | 4 ++--
79 files changed, 173 insertions(+), 163 deletions(-)
diff --git a/docs/skill-coverage.md b/docs/skill-coverage.md
index 7a86c9102..6f97a39b9 100644
--- a/docs/skill-coverage.md
+++ b/docs/skill-coverage.md
@@ -4,7 +4,7 @@ Generated from the registry, the skill sidecars and the two maintained
matrices. **Do not edit by hand**; regenerate after any registry, skill,
matrix or frozen-plan change.
-- Input digest: `sha256:5ef714f158347c2eb7da3cdf956fc53469d27e1551783ce36a08c12e9e8106ee`
+- Input digest: `sha256:a743490457788a1d0c3f4655654e9f7715ade3be33703d238bb01a4458b8c2f0`
- Regenerate: `python tools/build_skill_coverage.py`
- Verify without writing: `python tools/build_skill_coverage.py --check`
@@ -129,7 +129,7 @@ optimization is fully covered or that any procedure has measured benefit.
| [inference-benchmark-design](../src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md) | common | Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents ... | Selecting task quality gates, reference parity checks and performance workloads for text ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | — | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
Task-specific benchmark selection (issue #60) ([Issue #60 report](https://github.com/InferMatrixLab/InferRSI/issues/6 ...) | candidate · not_run · 2 readset(s) | no-SearchSpace-layer |
| [inference-optimization-casebook](../src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md) | common | How to structure and use a casebook of past optimization decisions as a decision-support tool. Extracts the casebook ... | Structuring and querying a casebook of past optimization decisions as decision support ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-eval |
| [kernel-writing-guide](../src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md) | common | Decision guide for writing custom inference kernels: when to write one, which framework to choose (Triton, CuTe DSL ... | Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton ... | failure_modes, input_contract, produced_artifact, refusal_point
6 advice | 1 Accelerator · Optimize / Diagnose / Configure / Verify | 1 · Systems sources (Dao-AILab/causal-conv1d @ `cd81f0413cad2fc1e6f17e785ac39f59aae690cd` ...)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (huggingface/transformers @ `0dad7b822255a0ae261ec45ae937371e859ffd1a` ...)
1 · Systems sources (mindspore-ai/akg @ `5aa15f3fe4d856eb60cd3b27447e04f5f1fb4dff` ...)
1 · Systems sources (sgl-project/sglang @ `16176278d0180f1a1a578e53e6eef432577876c2` ...)
1 · Systems sources (vllm-project/vllm @ `537a79f0fc5ba564d2bef43d54915b2f80f9f77d` (root ...) | candidate · not_run · 7 readset(s) | no-eval |
-| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | Selecting, ordering and stopping optimization experiments: candidate generation ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 6 readset(s) | no-eval |
+| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | Selecting, ordering and stopping optimization experiments: candidate generation ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 7 readset(s) | no-eval |
| [performance-ceiling-analysis](../src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md) | common | Estimate optimization headroom before modifying an inference system. Produces a three-level ceiling model (analytical ... | inference serving systems (LLM, diffusion, audio) | — | 1 Accelerator · Diagnose / Verify
5 OS · Configure | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ebugger/Empirical-Roofline-Toolkit @ 0771fa9)
1 · Systems sources (hahnyuan/LLM-Viewer @ 1893e4b) | candidate · not_run · 16 readset(s) | no-eval |
| [plan-activation-residency](../src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md) | common | Propose training activation and gradient memory reductions by distinguishing lifetime reordering, address packing and ... | Proposing training activation and gradient memory reductions when pressure appears to ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Optimize / Verify | 1 · Systems sources (Checkmate — [1910.02653v3](https://arxiv.org/abs/1910.02653v3)) | candidate · not_run · 1 readset(s) | no-eval |
| [repository-evolution-analysis](../src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md) | common | Analyze a repository's commit history to build a capability-evolution model: what the system can do, how it got there ... | any software repository with a recoverable git history | — | — | 2 · Methodology and corpus references (LearningToCommit/LearningToCommit @ 7e5a1d7)
2 · Methodology and corpus references (yetone/magpie @ 77800032) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-eval |
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
index 375c135a3..533935817 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
@@ -15,7 +15,7 @@ These are knowledge abstracts (`--kind knowledge`), with namespaced package
IDs distinct from explicitly selected `checkout_ref` skills. Ascend/CUDA
procedures use their corresponding backend; shared methods use `common`.
-Source snapshot: [5b9cf9aa63b893d228d257960f8cc6ef72d12717](https://github.com/InferMatrixLab/InferRSI/tree/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library).
+Source snapshot: [348e02eb6037ce15697042ed25ca42a3b4154f53](https://github.com/InferMatrixLab/InferRSI/tree/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library).
```bash
inferrsi knowledge search 'profiling' --repo-type inferrsi --limit 50
@@ -29,7 +29,7 @@ contain the current input paths and bytes (Git checkout filters are respected).
```bash
python tools/build_skill_index.py --source-revision
-python tools/build_skill_index.py --source-revision 5b9cf9aa63b893d228d257960f8cc6ef72d12717 --check
+python tools/build_skill_index.py --source-revision 348e02eb6037ce15697042ed25ca42a3b4154f53 --check
```
`--check` detects missing, stale and unexpected generated records without writing.
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
index 5d3817dfe..dc40fdbc2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
index 87af5efd9..392965b4f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
index 85bb68ddd..f864c5dba 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
index f7f30fe0e..da553433d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
index cf413f3c0..a4799aea4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
index f676e24be..a4da6ccf6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
index 2d7f71108..1bba65bd4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
index 787d5c5c4..74fac412e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
index 10676bca6..500435231 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
index 19456eb92..b1f9b0c4e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
index bae5a3f67..fffb82218 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
index 4802e8e64..3b77e118c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
@@ -24,8 +24,8 @@
"sources": [
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
index 9e84bfc04..52ef98cce 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
@@ -22,8 +22,8 @@
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
index a73df69a4..afa0d79ab 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
index 17cde0b85..a543ce50f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
@@ -16,8 +16,8 @@
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
index 93192fe14..a0726f3bf 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
@@ -16,8 +16,8 @@
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
index 2e9469a30..86ed8202e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
@@ -20,8 +20,8 @@
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
index 1778da295..8b1495999 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
@@ -29,8 +29,8 @@
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
index 1aa959df7..ce3111dd1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
@@ -30,8 +30,8 @@
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
index fe78bbd8a..debe60b51 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
@@ -23,8 +23,8 @@
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
index 51df2f700..ac9ec58bd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
@@ -26,8 +26,8 @@
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
index 0f9f8cad3..932d31cd4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
@@ -25,8 +25,8 @@
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
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"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
index a05fe72e5..0d0a3b358 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
@@ -23,8 +23,8 @@
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
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"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
index c31f22ec5..00cc40e63 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
@@ -21,8 +21,8 @@
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
index 59b96b298..cad9c504b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
@@ -23,8 +23,8 @@
"sources": [
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
index 93352061d..792175978 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
@@ -23,8 +23,8 @@
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- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
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"src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
index db9431983..0d39c5adc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
"src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
index 412e68d90..3432eb4b1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
index ed02c221e..e6d1235cb 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
index 04a795cb1..f9fe5d2a3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
index 3292ed63c..e217ef382 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
index fd09f1c67..dccda5f57 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
index a20eb54b3..a4ecff50e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/comfy-ui/LICENSE",
"src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
index 9c8be7b6c..688564040 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
index 27342f77b..80fd76ca1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
index 6543136c5..c8a6f65ed 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
index 6eabc3470..26a40d51c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
index f84857fed..740a51fc5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
index d829ab367..85f01a8dc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
index 9454eb855..29fbb831d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/dwarfstar/LICENSE",
"src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
index 6e3f14c2a..5cdb74ab2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
index e43e1ca6e..8dab3a68e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
index 414ece27c..be879df47 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
@@ -30,8 +30,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
index bc554ea26..6726fbf9c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
index 15a394402..f6ae93fb4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
"src/inferrsi/data/skill_library/repositories/husky/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
index 6a3fd734e..9baf69e3f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
index 0220982c1..62129177e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/admission-drain-occupancy.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
index 346d0bdbe..ad0dfa86b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
@@ -39,8 +39,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/causal-conv1d-dispatch-state.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
index 3efc255f4..8e0474cb8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
index bb94334a8..f05e3fce9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
index 457badd2e..558c1e9a5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/lily/LICENSE",
"src/inferrsi/data/skill_library/repositories/lily/NOTICE.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
index a699118cb..518dc34da 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/lithos-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
index 15dabfbec..514934cb2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
"src/inferrsi/data/skill_library/repositories/local-dream/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
index 95574ddc4..8757c2775 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/mistral-rs/LICENSE",
"src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
index 22742bf4c..e5aa5c430 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlc-llm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
index da439152d..014e1309a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
index a8bfcb764..093572f44 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
index 788a747e4..bba9e671e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
@@ -21,10 +21,12 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.json",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/INTEGRATION_NOTES.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/MECHANISMS.md",
@@ -34,7 +36,7 @@
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/updates/optimization-search-policy.md",
"src/inferrsi/data/skill_library/skill-index.json"
],
- "content_sha256": "dd275a0576e827353963aae7f0b09494d60d0b9a4a2884fe575c85249fa3131b"
+ "content_sha256": "164d5f67dcf3ec2dc0f93359da361777c00e7feab46503dfd14962b3957d488b"
}
],
"index_type": "packaged-skill",
@@ -43,8 +45,10 @@
},
"checkout_ref": "checkout:optimization-search-policy",
"source_files": {
- "src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md": "dd275a0576e827353963aae7f0b09494d60d0b9a4a2884fe575c85249fa3131b",
- "src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json": "1fa57ffd478c49cabb2061f9b64806f0f4d3dc8bee17757d23b7e897b57e8ec6",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md": "164d5f67dcf3ec2dc0f93359da361777c00e7feab46503dfd14962b3957d488b",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.json": "f8448973cf1c9e506179c02c5e55bd804ea039b7276cf08071952f6c0be656ad",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.md": "2c2a8147001d24d1abc8672f15cf0ca759ae461b734413c8dcb7497634bb6821",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json": "66fe5c7c62b8b3f0a66d6fe2b875414d5cdf6d61f0029e73ba916d836971fce3",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/INTEGRATION_NOTES.md": "157e74ba180426b279b548a729769f152bf18f9a78ffca4ebfcaf26b7d0c5292",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/MECHANISMS.md": "18bb2f5d7e52773c516420a142edfb531d0b9c822a2934d60f3234ac1cb9d40e",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/NEXT_GATE_LEADS.md": "16a264c7159f9c2c700ce8ba46e63f3e636b277c987da4970f6d2fa085fcb053",
@@ -102,7 +106,8 @@
"references/papers-20261015/MECHANISMS.md",
"references/papers-20261015/NEXT_GATE_LEADS.md",
"references/papers-20261015/references/source-notes.md",
- "references/papers-20261015/updates/optimization-search-policy.md"
+ "references/papers-20261015/updates/optimization-search-policy.md",
+ "cases/sarathi-chunk-budget.json"
],
"references": [
"../inference-optimization-casebook/cases/qwen-b300-rejected-directions.md",
@@ -111,7 +116,12 @@
"../inference-optimization-casebook/cases/qwen-ascend-rejected-directions.json",
"../inference-optimization-casebook/cases/drama3-rejected-directions.md",
"../inference-optimization-casebook/cases/drama3-rejected-directions.json",
- "../../workflows/rsi-evidence/references/loopx-goal-governance/README.md"
+ "../../workflows/rsi-evidence/references/loopx-goal-governance/README.md",
+ "cases/sarathi-chunk-budget.md",
+ "cases/sarathi-chunk-budget.json",
+ "../../repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
+ "../assess-serving-preemption/SKILL.md",
+ "../calibrate-serving-simulation/SKILL.md"
],
"consumption_mode": "packaged"
},
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
index 9f51fe164..8862a1b16 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
index 47cb33d6b..6b16d0487 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
index 381d9c96a..2c2fda0dc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
index 7e4635f6f..d6bf5b62f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/project-maya/LICENSE",
"src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
index 4f55e8b46..4a89e5c1d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
index 75c913984..b0d8adc7b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
index dcf7259ab..6e6ef831e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
index 055659413..43ff99e2e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/splash/LICENSE",
"src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
index a00a82d7b..13744d6a9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
index e2ab00590..c3f1aad3a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
index 4e5fec933..0ddf6c84d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
index ae5176923..3a57d5139 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/assets/campaign.template.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
index aac67a607..ae9de0726 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
index 1d7684435..ecaca3e48 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
index e89c8cfb1..5de97816b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
index 63ab48371..32af0bf1e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/LICENSE",
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
index eee6a5816..88acdda16 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
index dac9d7581..7b1010d63 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
index 0a9624f64..538aee6f3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
@@ -36,8 +36,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/5b9cf9aa63b893d228d257960f8cc6ef72d12717/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
- "commit": "5b9cf9aa63b893d228d257960f8cc6ef72d12717",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
+ "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json",
From bf90865843efafcaee50f30d15997a9c35f8a286 Mon Sep 17 00:00:00 2001
From: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Date: Sat, 31 Oct 2026 13:03:45 +0800
Subject: [PATCH 7/8] docs: regenerate skill projections after DistServe
integration
Pin the catalog to the reachable combined source commit and regenerate
the coverage view from identical committed source bytes.
Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (generated projections and validation)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
---
docs/skill-coverage.md | 4 +-
.../repo_packs/inferrsi/knowledge/README.md | 4 +-
.../ascend-aclgraph-capture-replay.json | 4 +-
.../ascend/skills/ascend-device-health.json | 4 +-
.../skills/ascend-distributed-parallel.json | 4 +-
.../ascend/skills/ascend-graph-mode.json | 4 +-
.../skills/ascend-model-adaptation.json | 4 +-
.../skills/ascend-operator-profiling.json | 4 +-
.../ascend/skills/ascend-operator-tuning.json | 4 +-
.../skills/ascend-optimization-casebook.json | 4 +-
.../skills/ascend-performance-analysis.json | 4 +-
.../ascend-video-diffusion-optimization.json | 4 +-
.../ascend/skills/ascendc-tiling-design.json | 4 +-
.../skills/cann-attribution-overlap.json | 4 +-
.../torchnpu-device-memory-lifecycle.json | 4 +-
...torchnpu-pinned-host-memory-lifecycle.json | 4 +-
.../skills/assess-serving-preemption.json | 4 +-
.../assess-split-backward-schedule.json | 4 +-
.../skills/audit-fixed-workload-claim.json | 4 +-
.../audit-h3-metal-fasth3-semantics.json | 4 +-
.../skills/audit-h3-runtime-residency.json | 4 +-
.../skills/audit-llama-runtime-state.json | 4 +-
.../audit-recurrent-kv-finalization.json | 4 +-
.../common/skills/audit-sd-cpp-residency.json | 4 +-
.../audit-sglang-diffusion-lifetimes.json | 4 +-
.../skills/audit-vllm-kv-lifetimes.json | 4 +-
.../bound-windowed-attention-replay.json | 4 +-
.../budget-speculative-verification.json | 4 +-
.../skills/calibrate-serving-simulation.json | 4 +-
.../skills/cgroup-resource-controls.json | 4 +-
.../checkpoint-recovery-consistency.json | 4 +-
.../skills/choose-parallel-training-plan.json | 4 +-
.../skills/cite-check-downstream-pr.json | 4 +-
.../common/skills/claim-contract.json | 4 +-
.../knowledge/common/skills/comfy-ui.json | 4 +-
.../common/skills/competitor-scan.json | 4 +-
.../skills/dcp-async-save-performance.json | 4 +-
.../skills/dense-performance-evidence.json | 4 +-
.../diagnose-vllm-admission-pressure.json | 4 +-
.../skills/diffusers-invocation-state.json | 4 +-
.../common/skills/draft-acceptance-issue.json | 4 +-
.../knowledge/common/skills/dwarfstar.json | 4 +-
.../evaluate-elastic-serving-placement.json | 4 +-
.../skills/generation-cache-lifecycle.json | 4 +-
.../common/skills/host-memory-management.json | 4 +-
.../skills/host-overhead-optimization.json | 4 +-
.../knowledge/common/skills/husky.json | 4 +-
.../skills/inference-benchmark-design.json | 4 +-
.../inference-optimization-casebook.json | 4 +-
.../common/skills/kernel-writing-guide.json | 4 +-
.../common/skills/kv-tier-management.json | 4 +-
.../lazy-evaluation-stream-lifetimes.json | 4 +-
.../knowledge/common/skills/lily.json | 4 +-
.../knowledge/common/skills/lithos-metal.json | 4 +-
.../knowledge/common/skills/local-dream.json | 4 +-
.../knowledge/common/skills/mistral-rs.json | 4 +-
.../knowledge/common/skills/mlc-llm.json | 4 +-
.../knowledge/common/skills/mlx-swift-lm.json | 4 +-
.../common/skills/npu-skill-factory.json | 4 +-
.../skills/optimization-search-policy.json | 44 +++++++++++++++----
.../common/skills/os-process-placement.json | 4 +-
.../skills/performance-ceiling-analysis.json | 4 +-
.../skills/plan-activation-residency.json | 4 +-
.../knowledge/common/skills/project-maya.json | 4 +-
.../skills/repository-evolution-analysis.json | 4 +-
.../knowledge/common/skills/rsi-evidence.json | 4 +-
.../skills/skill-evolution-playbook.json | 4 +-
.../knowledge/common/skills/splash.json | 4 +-
.../common/skills/storage-io-measurement.json | 4 +-
.../skills/training-input-pipeline.json | 4 +-
.../skills/training-resource-budget.json | 4 +-
.../skills/video-diffusion-optimization.json | 4 +-
.../knowledge/common/skills/vllm-metal.json | 4 +-
.../skills/weight-loading-optimization.json | 4 +-
.../cuda/skills/audit-afd-p2p-exchanges.json | 4 +-
.../skills/audit-flare-session-lifecycle.json | 4 +-
.../diagnose-attention-bottlenecks.json | 4 +-
.../cuda/skills/host-overhead-profiling.json | 4 +-
.../cuda/skills/reason-hopper-kernels.json | 4 +-
79 files changed, 192 insertions(+), 164 deletions(-)
diff --git a/docs/skill-coverage.md b/docs/skill-coverage.md
index 6f97a39b9..e69fa8e6f 100644
--- a/docs/skill-coverage.md
+++ b/docs/skill-coverage.md
@@ -4,7 +4,7 @@ Generated from the registry, the skill sidecars and the two maintained
matrices. **Do not edit by hand**; regenerate after any registry, skill,
matrix or frozen-plan change.
-- Input digest: `sha256:a743490457788a1d0c3f4655654e9f7715ade3be33703d238bb01a4458b8c2f0`
+- Input digest: `sha256:6b71689d1d5ab13dcb48bd306a76b12ce15d3156a76e35ff780101c156ccb7ee`
- Regenerate: `python tools/build_skill_coverage.py`
- Verify without writing: `python tools/build_skill_coverage.py --check`
@@ -129,7 +129,7 @@ optimization is fully covered or that any procedure has measured benefit.
| [inference-benchmark-design](../src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md) | common | Select task quality gates, reference parity checks and performance workloads for text, agentic coding, work agents ... | Selecting task quality gates, reference parity checks and performance workloads for text ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | — | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
Task-specific benchmark selection (issue #60) ([Issue #60 report](https://github.com/InferMatrixLab/InferRSI/issues/6 ...) | candidate · not_run · 2 readset(s) | no-SearchSpace-layer |
| [inference-optimization-casebook](../src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md) | common | How to structure and use a casebook of past optimization decisions as a decision-support tool. Extracts the casebook ... | Structuring and querying a casebook of past optimization decisions as decision support ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-eval |
| [kernel-writing-guide](../src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md) | common | Decision guide for writing custom inference kernels: when to write one, which framework to choose (Triton, CuTe DSL ... | Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton ... | failure_modes, input_contract, produced_artifact, refusal_point
6 advice | 1 Accelerator · Optimize / Diagnose / Configure / Verify | 1 · Systems sources (Dao-AILab/causal-conv1d @ `cd81f0413cad2fc1e6f17e785ac39f59aae690cd` ...)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (huggingface/transformers @ `0dad7b822255a0ae261ec45ae937371e859ffd1a` ...)
1 · Systems sources (mindspore-ai/akg @ `5aa15f3fe4d856eb60cd3b27447e04f5f1fb4dff` ...)
1 · Systems sources (sgl-project/sglang @ `16176278d0180f1a1a578e53e6eef432577876c2` ...)
1 · Systems sources (vllm-project/vllm @ `537a79f0fc5ba564d2bef43d54915b2f80f9f77d` (root ...) | candidate · not_run · 7 readset(s) | no-eval |
-| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | Selecting, ordering and stopping optimization experiments: candidate generation ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 7 readset(s) | no-eval |
+| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | Selecting, ordering and stopping optimization experiments: candidate generation ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 9 readset(s) | no-eval |
| [performance-ceiling-analysis](../src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md) | common | Estimate optimization headroom before modifying an inference system. Produces a three-level ceiling model (analytical ... | inference serving systems (LLM, diffusion, audio) | — | 1 Accelerator · Diagnose / Verify
5 OS · Configure | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ebugger/Empirical-Roofline-Toolkit @ 0771fa9)
1 · Systems sources (hahnyuan/LLM-Viewer @ 1893e4b) | candidate · not_run · 16 readset(s) | no-eval |
| [plan-activation-residency](../src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md) | common | Propose training activation and gradient memory reductions by distinguishing lifetime reordering, address packing and ... | Proposing training activation and gradient memory reductions when pressure appears to ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Optimize / Verify | 1 · Systems sources (Checkmate — [1910.02653v3](https://arxiv.org/abs/1910.02653v3)) | candidate · not_run · 1 readset(s) | no-eval |
| [repository-evolution-analysis](../src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md) | common | Analyze a repository's commit history to build a capability-evolution model: what the system can do, how it got there ... | any software repository with a recoverable git history | — | — | 2 · Methodology and corpus references (LearningToCommit/LearningToCommit @ 7e5a1d7)
2 · Methodology and corpus references (yetone/magpie @ 77800032) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-eval |
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
index 533935817..b8e9dcc4d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
@@ -15,7 +15,7 @@ These are knowledge abstracts (`--kind knowledge`), with namespaced package
IDs distinct from explicitly selected `checkout_ref` skills. Ascend/CUDA
procedures use their corresponding backend; shared methods use `common`.
-Source snapshot: [348e02eb6037ce15697042ed25ca42a3b4154f53](https://github.com/InferMatrixLab/InferRSI/tree/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library).
+Source snapshot: [cfebda0a33d823573a2b20056bd6dcf0cfbd1413](https://github.com/InferMatrixLab/InferRSI/tree/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library).
```bash
inferrsi knowledge search 'profiling' --repo-type inferrsi --limit 50
@@ -29,7 +29,7 @@ contain the current input paths and bytes (Git checkout filters are respected).
```bash
python tools/build_skill_index.py --source-revision
-python tools/build_skill_index.py --source-revision 348e02eb6037ce15697042ed25ca42a3b4154f53 --check
+python tools/build_skill_index.py --source-revision cfebda0a33d823573a2b20056bd6dcf0cfbd1413 --check
```
`--check` detects missing, stale and unexpected generated records without writing.
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
index dc40fdbc2..f5b892ccf 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
index 392965b4f..55c60d305 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
index f864c5dba..eae870c9f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
index da553433d..b52fb2a81 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
index a4799aea4..3a0a0911f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
index a4da6ccf6..1cc38a5f5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
index 1bba65bd4..0f4e6cb74 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
index 74fac412e..0c2662a67 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
index 500435231..a998cea03 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
index b1f9b0c4e..b968f4f13 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
index fffb82218..7834fdbb5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
index 3b77e118c..2fc4ab639 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
index 52ef98cce..154accddc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
index afa0d79ab..01085a112 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
index a543ce50f..4441f76e9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
"src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
index a0726f3bf..4a0f431fc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
"src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
index 86ed8202e..cbe021adb 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
@@ -20,8 +20,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
index 8b1495999..9aab9e0e9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
index ce3111dd1..cc8fe1867 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
index debe60b51..1ca61eced 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
@@ -23,8 +23,8 @@
"sources": [
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- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
index ac9ec58bd..3ee49d815 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
index 932d31cd4..323fa7412 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
index 0d0a3b358..be9f5361b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/LICENSE",
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
index 00cc40e63..bedb9b01f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
@@ -21,8 +21,8 @@
"sources": [
{
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- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
index cad9c504b..7fc3c614f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
@@ -23,8 +23,8 @@
"sources": [
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- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
index 792175978..4d06dc833 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
@@ -23,8 +23,8 @@
"sources": [
{
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- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
index 0d39c5adc..1f54c493a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
@@ -16,8 +16,8 @@
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- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
index 3432eb4b1..df742214c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
@@ -25,8 +25,8 @@
"sources": [
{
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- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
index e6d1235cb..140cce0fd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
index f9fe5d2a3..069a753b0 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
@@ -16,8 +16,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
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"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
index e217ef382..4b9a5405f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
index dccda5f57..c2679d435 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
index a4ecff50e..af67b6b3d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
@@ -22,8 +22,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/comfy-ui/LICENSE",
"src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
index 688564040..ac4082703 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
@@ -21,8 +21,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
index 80fd76ca1..1d0cc0e82 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
@@ -23,8 +23,8 @@
"sources": [
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- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
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"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
index c8a6f65ed..2056167fa 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
@@ -21,8 +21,8 @@
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- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
index 26a40d51c..1f0dbcd85 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
index 740a51fc5..8a3d5d935 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
index 85f01a8dc..6cdac3cfc 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
index 29fbb831d..1fb089fb9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/dwarfstar/LICENSE",
"src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
index 5cdb74ab2..1ba21a091 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
index 8dab3a68e..52e289f8a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
index be879df47..aba792021 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
index 6726fbf9c..7c3b2be07 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
index f6ae93fb4..eba0b76bd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
"src/inferrsi/data/skill_library/repositories/husky/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
index 9baf69e3f..cf6dc0c37 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
index 62129177e..26137cfac 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/admission-drain-occupancy.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
index ad0dfa86b..802cb1ff1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
@@ -39,8 +39,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/causal-conv1d-dispatch-state.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
index 8e0474cb8..eb87a9515 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
index f05e3fce9..11d4141ae 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
index 558c1e9a5..8dc97239a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/lily/LICENSE",
"src/inferrsi/data/skill_library/repositories/lily/NOTICE.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
index 518dc34da..345bcda0f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/lithos-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
index 514934cb2..1bd53bdf2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
"src/inferrsi/data/skill_library/repositories/local-dream/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
index 8757c2775..d9c4749e9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/mistral-rs/LICENSE",
"src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
index e5aa5c430..8a7875293 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlc-llm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
index 014e1309a..031637366 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
index 093572f44..3b4d78e25 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
index bba9e671e..b4dd9215c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
@@ -21,13 +21,15 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.json",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/references/distserve-phase-placement/README.md",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/references/distserve-phase-placement/source-record.json",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/INTEGRATION_NOTES.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/MECHANISMS.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/NEXT_GATE_LEADS.md",
@@ -36,7 +38,7 @@
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/updates/optimization-search-policy.md",
"src/inferrsi/data/skill_library/skill-index.json"
],
- "content_sha256": "164d5f67dcf3ec2dc0f93359da361777c00e7feab46503dfd14962b3957d488b"
+ "content_sha256": "0ba4ade1648764a7422f564abe2d4fc9f9a25b5943a6c70c81ce17b8e7fb48d9"
}
],
"index_type": "packaged-skill",
@@ -45,10 +47,12 @@
},
"checkout_ref": "checkout:optimization-search-policy",
"source_files": {
- "src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md": "164d5f67dcf3ec2dc0f93359da361777c00e7feab46503dfd14962b3957d488b",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md": "0ba4ade1648764a7422f564abe2d4fc9f9a25b5943a6c70c81ce17b8e7fb48d9",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.json": "f8448973cf1c9e506179c02c5e55bd804ea039b7276cf08071952f6c0be656ad",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.md": "2c2a8147001d24d1abc8672f15cf0ca759ae461b734413c8dcb7497634bb6821",
- "src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json": "66fe5c7c62b8b3f0a66d6fe2b875414d5cdf6d61f0029e73ba916d836971fce3",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/metadata.json": "6dc0c3b8ce13cff285ad99da4441f2fb6a5931247e7634e657275dd915854e02",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/references/distserve-phase-placement/README.md": "56e16efce447dfd4990a024ff1d6f7cb428f8e3e1f7b32a7e4d05f57139b836a",
+ "src/inferrsi/data/skill_library/methods/optimization-search-policy/references/distserve-phase-placement/source-record.json": "21cc9562f1c19d6b57957c01b53e0adf8700d05ffaaa7764afe07c4da1284de1",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/INTEGRATION_NOTES.md": "157e74ba180426b279b548a729769f152bf18f9a78ffca4ebfcaf26b7d0c5292",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/MECHANISMS.md": "18bb2f5d7e52773c516420a142edfb531d0b9c822a2934d60f3234ac1cb9d40e",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/references/papers-20261015/NEXT_GATE_LEADS.md": "16a264c7159f9c2c700ce8ba46e63f3e636b277c987da4970f6d2fa085fcb053",
@@ -107,7 +111,9 @@
"references/papers-20261015/NEXT_GATE_LEADS.md",
"references/papers-20261015/references/source-notes.md",
"references/papers-20261015/updates/optimization-search-policy.md",
- "cases/sarathi-chunk-budget.json"
+ "cases/sarathi-chunk-budget.json",
+ "references/distserve-phase-placement/README.md",
+ "references/distserve-phase-placement/source-record.json"
],
"references": [
"../inference-optimization-casebook/cases/qwen-b300-rejected-directions.md",
@@ -121,9 +127,31 @@
"cases/sarathi-chunk-budget.json",
"../../repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
"../assess-serving-preemption/SKILL.md",
- "../calibrate-serving-simulation/SKILL.md"
+ "../calibrate-serving-simulation/SKILL.md",
+ "../performance-ceiling-analysis/SKILL.md",
+ "../../repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md"
],
- "consumption_mode": "packaged"
+ "consumption_mode": "packaged",
+ "sources": [
+ {
+ "type": "paper",
+ "id": "usenix:osdi24:zhong-yinmin",
+ "version": "OSDI 24 proceedings, July 2024, pages 193-210",
+ "url": "https://www.usenix.org/conference/osdi24/presentation/zhong-yinmin",
+ "sections": [
+ "3.3",
+ "4.1-4.2",
+ "6.1-6.5",
+ "7",
+ "Appendices A-C"
+ ],
+ "readset": "references/distserve-phase-placement/source-record.json"
+ },
+ {
+ "type": "unknown",
+ "scope": "Pre-existing sources remain in their original procedure/readsets; this amendment does not normalize that inventory"
+ }
+ ]
},
"applicability": {
"scope": "Selecting, ordering and stopping optimization experiments: candidate generation, exploration versus exploitation, mechanism diversity, negative experiment memory, cost-aware escalation, budget allocation and stopping criteria, drawn from vllm-evolve, the TRT-LLM casebook and SkillOpt",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
index 8862a1b16..8d36e43d4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
index 6b16d0487..ac38a42fa 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
index 2c2fda0dc..6628993de 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
index d6bf5b62f..ab5e7c969 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/project-maya/LICENSE",
"src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
index 4a89e5c1d..22d2a73e4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
index b0d8adc7b..1cf2ab78f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
index 6e6ef831e..e7c102586 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
index 43ff99e2e..baa2bc08f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/splash/LICENSE",
"src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
index 13744d6a9..284ae6e98 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
index c3f1aad3a..3b9154d6e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
index 0ddf6c84d..36d2b3b6b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
index 3a57d5139..5926b1b46 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/assets/campaign.template.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
index ae9de0726..07d6ef81e 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
index ecaca3e48..28bd1b94d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
index 5de97816b..6d125d330 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
index 32af0bf1e..a503c9605 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/LICENSE",
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
index 88acdda16..9b808038b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
index 7b1010d63..c00d305b5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
index 538aee6f3..49aca185f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
@@ -36,8 +36,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/348e02eb6037ce15697042ed25ca42a3b4154f53/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
- "commit": "348e02eb6037ce15697042ed25ca42a3b4154f53",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
+ "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json",
From 2e6461a053f52de6bf122fee8cf76c1f8b3ef800 Mon Sep 17 00:00:00 2001
From: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Date: Sat, 31 Oct 2026 13:42:37 +0800
Subject: [PATCH 8/8] docs: regenerate skill projections after Mooncake
integration
Pin the catalog to the reachable combined source commit and regenerate
the coverage view from the committed source inputs.
Agent-assisted-by: Codex / gpt-6-astra [effort=xhigh] (generated projections and validation)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
---
docs/skill-coverage.md | 4 +--
.../repo_packs/inferrsi/knowledge/README.md | 4 +--
.../ascend-aclgraph-capture-replay.json | 4 +--
.../ascend/skills/ascend-device-health.json | 4 +--
.../skills/ascend-distributed-parallel.json | 4 +--
.../ascend/skills/ascend-graph-mode.json | 4 +--
.../skills/ascend-model-adaptation.json | 4 +--
.../skills/ascend-operator-profiling.json | 4 +--
.../ascend/skills/ascend-operator-tuning.json | 4 +--
.../skills/ascend-optimization-casebook.json | 4 +--
.../skills/ascend-performance-analysis.json | 4 +--
.../ascend-video-diffusion-optimization.json | 4 +--
.../ascend/skills/ascendc-tiling-design.json | 4 +--
.../skills/cann-attribution-overlap.json | 4 +--
.../torchnpu-device-memory-lifecycle.json | 4 +--
...torchnpu-pinned-host-memory-lifecycle.json | 4 +--
.../skills/assess-serving-preemption.json | 4 +--
.../assess-split-backward-schedule.json | 4 +--
.../skills/audit-fixed-workload-claim.json | 4 +--
.../audit-h3-metal-fasth3-semantics.json | 4 +--
.../skills/audit-h3-runtime-residency.json | 4 +--
.../skills/audit-llama-runtime-state.json | 4 +--
.../audit-recurrent-kv-finalization.json | 4 +--
.../common/skills/audit-sd-cpp-residency.json | 4 +--
.../audit-sglang-diffusion-lifetimes.json | 4 +--
.../skills/audit-vllm-kv-lifetimes.json | 4 +--
.../bound-windowed-attention-replay.json | 4 +--
.../budget-speculative-verification.json | 4 +--
.../skills/calibrate-serving-simulation.json | 4 +--
.../skills/cgroup-resource-controls.json | 4 +--
.../checkpoint-recovery-consistency.json | 4 +--
.../skills/choose-parallel-training-plan.json | 4 +--
.../skills/cite-check-downstream-pr.json | 4 +--
.../common/skills/claim-contract.json | 4 +--
.../knowledge/common/skills/comfy-ui.json | 4 +--
.../common/skills/competitor-scan.json | 4 +--
.../skills/dcp-async-save-performance.json | 4 +--
.../skills/dense-performance-evidence.json | 4 +--
.../diagnose-vllm-admission-pressure.json | 4 +--
.../skills/diffusers-invocation-state.json | 4 +--
.../common/skills/draft-acceptance-issue.json | 4 +--
.../knowledge/common/skills/dwarfstar.json | 4 +--
.../evaluate-elastic-serving-placement.json | 4 +--
.../skills/generation-cache-lifecycle.json | 4 +--
.../common/skills/host-memory-management.json | 4 +--
.../skills/host-overhead-optimization.json | 4 +--
.../knowledge/common/skills/husky.json | 4 +--
.../skills/inference-benchmark-design.json | 4 +--
.../inference-optimization-casebook.json | 4 +--
.../common/skills/kernel-writing-guide.json | 4 +--
.../common/skills/kv-tier-management.json | 4 +--
.../lazy-evaluation-stream-lifetimes.json | 4 +--
.../knowledge/common/skills/lily.json | 4 +--
.../knowledge/common/skills/lithos-metal.json | 4 +--
.../knowledge/common/skills/local-dream.json | 4 +--
.../knowledge/common/skills/mistral-rs.json | 4 +--
.../knowledge/common/skills/mlc-llm.json | 4 +--
.../knowledge/common/skills/mlx-swift-lm.json | 4 +--
.../common/skills/npu-skill-factory.json | 4 +--
.../skills/optimization-search-policy.json | 4 +--
.../common/skills/os-process-placement.json | 4 +--
.../skills/performance-ceiling-analysis.json | 32 +++++++++++++++----
.../skills/plan-activation-residency.json | 4 +--
.../knowledge/common/skills/project-maya.json | 4 +--
.../skills/repository-evolution-analysis.json | 4 +--
.../knowledge/common/skills/rsi-evidence.json | 4 +--
.../skills/skill-evolution-playbook.json | 4 +--
.../knowledge/common/skills/splash.json | 4 +--
.../common/skills/storage-io-measurement.json | 4 +--
.../skills/training-input-pipeline.json | 4 +--
.../skills/training-resource-budget.json | 4 +--
.../skills/video-diffusion-optimization.json | 4 +--
.../knowledge/common/skills/vllm-metal.json | 4 +--
.../skills/weight-loading-optimization.json | 4 +--
.../cuda/skills/audit-afd-p2p-exchanges.json | 4 +--
.../skills/audit-flare-session-lifecycle.json | 4 +--
.../diagnose-attention-bottlenecks.json | 4 +--
.../cuda/skills/host-overhead-profiling.json | 4 +--
.../cuda/skills/reason-hopper-kernels.json | 4 +--
79 files changed, 181 insertions(+), 163 deletions(-)
diff --git a/docs/skill-coverage.md b/docs/skill-coverage.md
index e69fa8e6f..81869415a 100644
--- a/docs/skill-coverage.md
+++ b/docs/skill-coverage.md
@@ -4,7 +4,7 @@ Generated from the registry, the skill sidecars and the two maintained
matrices. **Do not edit by hand**; regenerate after any registry, skill,
matrix or frozen-plan change.
-- Input digest: `sha256:6b71689d1d5ab13dcb48bd306a76b12ce15d3156a76e35ff780101c156ccb7ee`
+- Input digest: `sha256:b30daf60ce87156416fe29086c3c086f7b59d12a7d0f0b47f9540d796f4079a1`
- Regenerate: `python tools/build_skill_coverage.py`
- Verify without writing: `python tools/build_skill_coverage.py --check`
@@ -130,7 +130,7 @@ optimization is fully covered or that any procedure has measured benefit.
| [inference-optimization-casebook](../src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md) | common | How to structure and use a casebook of past optimization decisions as a decision-support tool. Extracts the casebook ... | Structuring and querying a casebook of past optimization decisions as decision support ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd) | candidate · not_run · 0 readset(s) | no-eval |
| [kernel-writing-guide](../src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md) | common | Decision guide for writing custom inference kernels: when to write one, which framework to choose (Triton, CuTe DSL ... | Deciding whether to write a custom inference kernel, routing a kernel pattern to Triton ... | failure_modes, input_contract, produced_artifact, refusal_point
6 advice | 1 Accelerator · Optimize / Diagnose / Configure / Verify | 1 · Systems sources (Dao-AILab/causal-conv1d @ `cd81f0413cad2fc1e6f17e785ac39f59aae690cd` ...)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (huggingface/transformers @ `0dad7b822255a0ae261ec45ae937371e859ffd1a` ...)
1 · Systems sources (mindspore-ai/akg @ `5aa15f3fe4d856eb60cd3b27447e04f5f1fb4dff` ...)
1 · Systems sources (sgl-project/sglang @ `16176278d0180f1a1a578e53e6eef432577876c2` ...)
1 · Systems sources (vllm-project/vllm @ `537a79f0fc5ba564d2bef43d54915b2f80f9f77d` (root ...) | candidate · not_run · 7 readset(s) | no-eval |
| [optimization-search-policy](../src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md) | common | Policy for how an optimization agent should select, order, and stop optimization experiments. Covers candidate ... | Selecting, ordering and stopping optimization experiments: candidate generation ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | 1 Accelerator · Optimize | 2 · Methodology and corpus references (JiusiServe/vllm-evolve @ 43cc82c)
2 · Methodology and corpus references (RRSI — arXiv 2609.24972v3)
2 · Methodology and corpus references (arXiv 2608.01867 (CRISP))
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 9 readset(s) | no-eval |
-| [performance-ceiling-analysis](../src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md) | common | Estimate optimization headroom before modifying an inference system. Produces a three-level ceiling model (analytical ... | inference serving systems (LLM, diffusion, audio) | — | 1 Accelerator · Diagnose / Verify
5 OS · Configure | 1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ebugger/Empirical-Roofline-Toolkit @ 0771fa9)
1 · Systems sources (hahnyuan/LLM-Viewer @ 1893e4b) | candidate · not_run · 16 readset(s) | no-eval |
+| [performance-ceiling-analysis](../src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md) | common | Estimate optimization headroom before modifying an inference system. Produces a three-level ceiling model (analytical ... | inference serving systems (LLM, diffusion, audio) | — | 1 Accelerator · Diagnose / Verify
5 OS · Configure | 1 · Systems sources (Mooncake — FAST '25 proceedings, pp. 155-170)
1 · Systems sources (NVIDIA/TensorRT-LLM @ f33e0e5fd)
1 · Systems sources (ebugger/Empirical-Roofline-Toolkit @ 0771fa9)
1 · Systems sources (hahnyuan/LLM-Viewer @ 1893e4b) | candidate · not_run · 17 readset(s) | no-eval |
| [plan-activation-residency](../src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md) | common | Propose training activation and gradient memory reductions by distinguishing lifetime reordering, address packing and ... | Proposing training activation and gradient memory reductions when pressure appears to ... | failure_modes, input_contract, produced_artifact, refusal_point
3 advice | 1 Accelerator · Diagnose / Optimize / Verify | 1 · Systems sources (Checkmate — [1910.02653v3](https://arxiv.org/abs/1910.02653v3)) | candidate · not_run · 1 readset(s) | no-eval |
| [repository-evolution-analysis](../src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md) | common | Analyze a repository's commit history to build a capability-evolution model: what the system can do, how it got there ... | any software repository with a recoverable git history | — | — | 2 · Methodology and corpus references (LearningToCommit/LearningToCommit @ 7e5a1d7)
2 · Methodology and corpus references (yetone/magpie @ 77800032) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-eval |
| [skill-evolution-playbook](../src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md) | common | Practical design choices for evolving agent skills from execution traces: when one trajectory should update a skill ... | Design choices for evolving agent skills from execution traces, drawn from Trace2Skill ... | failure_modes, input_contract, produced_artifact, refusal_point
4 advice | — | 2 · Methodology and corpus references (Qwen-Applications/Trace2Skill @ 3d0b52a)
2 · Methodology and corpus references (microsoft/SkillOpt @ 343db22) | candidate · not_run · 0 readset(s) | no-SearchSpace-layer, no-eval |
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
index b8e9dcc4d..55f201a2b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md
@@ -15,7 +15,7 @@ These are knowledge abstracts (`--kind knowledge`), with namespaced package
IDs distinct from explicitly selected `checkout_ref` skills. Ascend/CUDA
procedures use their corresponding backend; shared methods use `common`.
-Source snapshot: [cfebda0a33d823573a2b20056bd6dcf0cfbd1413](https://github.com/InferMatrixLab/InferRSI/tree/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library).
+Source snapshot: [54d4c89d4db82cbfc10d6096fe49bb077136e8b1](https://github.com/InferMatrixLab/InferRSI/tree/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library).
```bash
inferrsi knowledge search 'profiling' --repo-type inferrsi --limit 50
@@ -29,7 +29,7 @@ contain the current input paths and bytes (Git checkout filters are respected).
```bash
python tools/build_skill_index.py --source-revision
-python tools/build_skill_index.py --source-revision cfebda0a33d823573a2b20056bd6dcf0cfbd1413 --check
+python tools/build_skill_index.py --source-revision 54d4c89d4db82cbfc10d6096fe49bb077136e8b1 --check
```
`--check` detects missing, stale and unexpected generated records without writing.
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
index f5b892ccf..d83a6f417 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-aclgraph-capture-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
index 55c60d305..cee368c5d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-device-health/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
index eae870c9f..2ae1692ca 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-distributed-parallel/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
index b52fb2a81..0681960df 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-graph-mode/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
index 3a0a0911f..1beec5a9b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-model-adaptation/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
index 1cc38a5f5..7f18eacad 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
index 0f4e6cb74..2485f5d1c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-operator-tuning/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
index 0c2662a67..e150ddfbf 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-optimization-casebook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
index a998cea03..f98d36f12 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-performance-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
index b968f4f13..892275b5c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascend-video-diffusion-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
index 7834fdbb5..4088bb290 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/SKILL.md",
"src/inferrsi/data/skill_library/hardware/ascend/ascendc-tiling-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
index 2fc4ab639..3f1af08e1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/ascend/cann-attribution-overlap/SKILL.md",
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
index 154accddc..5a15fa487 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
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"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-device-memory-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
index 01085a112..dd95945b8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
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"src/inferrsi/data/skill_library/hardware/ascend/torchnpu-pinned-host-memory-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
index 4441f76e9..217d654b4 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json
@@ -16,8 +16,8 @@
"sources": [
{
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- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/assess-serving-preemption/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
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"src/inferrsi/data/skill_library/methods/assess-serving-preemption/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
index 4a0f431fc..9e58f9d99 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/assess-split-backward-schedule/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
index cbe021adb..204c4778a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json
@@ -20,8 +20,8 @@
"sources": [
{
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- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
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"src/inferrsi/data/skill_library/methods/audit-fixed-workload-claim/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
index 9aab9e0e9..54b00d96c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json
@@ -29,8 +29,8 @@
"sources": [
{
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- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-metal/audit-h3-metal-fasth3-semantics/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
index cc8fe1867..d2bd86525 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json
@@ -30,8 +30,8 @@
"sources": [
{
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- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/h3-c/audit-h3-runtime-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
index 1ca61eced..911b8e55f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json
@@ -23,8 +23,8 @@
"sources": [
{
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- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
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"src/inferrsi/data/skill_library/repositories/llama-cpp/audit-llama-runtime-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
index 3ee49d815..a87627aa7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json
@@ -26,8 +26,8 @@
"sources": [
{
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- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-rlt/audit-recurrent-kv-finalization/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
index 323fa7412..b4e3f7cf1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json
@@ -25,8 +25,8 @@
"sources": [
{
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- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/LICENSE",
"src/inferrsi/data/skill_library/repositories/stable-diffusion-cpp/audit-sd-cpp-residency/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
index be9f5361b..1e97e502c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json
@@ -23,8 +23,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/LICENSE",
"src/inferrsi/data/skill_library/repositories/sglang/audit-sglang-diffusion-lifetimes/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
index bedb9b01f..d13ea4060 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json
@@ -21,8 +21,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/audit-vllm-kv-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
index 7fc3c614f..d4ebb1f0a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json
@@ -23,8 +23,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
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"src/inferrsi/data/skill_library/repositories/deepinfer/bound-windowed-attention-replay/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
index 4d06dc833..afa4bc20c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json
@@ -23,8 +23,8 @@
"sources": [
{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/SKILL.md",
"src/inferrsi/data/skill_library/repositories/deepinfer/budget-speculative-verification/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
index 1f54c493a..dfd66207b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json
@@ -16,8 +16,8 @@
"sources": [
{
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- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/calibrate-serving-simulation/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
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diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
index df742214c..eedc29fad 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json
@@ -25,8 +25,8 @@
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{
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- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/cgroup-resource-controls/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
index 140cce0fd..c238e965a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/SKILL.md",
"src/inferrsi/data/skill_library/methods/checkpoint-recovery-consistency/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
index 069a753b0..6ef486f00 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/SKILL.md",
"src/inferrsi/data/skill_library/methods/choose-parallel-training-plan/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
index 4b9a5405f..9f61b1d91 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/cite-check-downstream-pr/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
index c2679d435..8a53c56bd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/claim-contract/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
index af67b6b3d..dc6b366a6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/comfy-ui/LICENSE",
"src/inferrsi/data/skill_library/repositories/comfy-ui/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
index ac4082703..78717465d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/competitor-scan/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
index 1d0cc0e82..abaca753f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/pytorch/dcp-async-save-performance/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
index 2056167fa..01e03d395 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/SKILL.md",
"src/inferrsi/data/skill_library/methods/dense-performance-evidence/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
index 1f0dbcd85..16490d466 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/SKILL.md",
"src/inferrsi/data/skill_library/repositories/vllm/diagnose-vllm-admission-pressure/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
index 8a3d5d935..3eb243d6f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/diffusers/diffusers-invocation-state/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
index 6cdac3cfc..204dd8a30 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/draft-acceptance-issue/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
index 1fb089fb9..d1348c401 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/dwarfstar/LICENSE",
"src/inferrsi/data/skill_library/repositories/dwarfstar/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
index 1ba21a091..697011f94 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/SKILL.md",
"src/inferrsi/data/skill_library/methods/evaluate-elastic-serving-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
index 52e289f8a..d0374a3e5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/SKILL.md",
"src/inferrsi/data/skill_library/repositories/mlx-lm/generation-cache-lifecycle/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
index aba792021..0bc3e959f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-memory-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
index 7c3b2be07..50c7c46e8 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/host-overhead-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
index eba0b76bd..29ea89b99 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/husky/SKILL.md",
"src/inferrsi/data/skill_library/repositories/husky/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
index cf6dc0c37..074f45352 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json
@@ -30,8 +30,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-benchmark-design/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
index 26137cfac..64ebace8c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/SKILL.md",
"src/inferrsi/data/skill_library/methods/inference-optimization-casebook/cases/admission-drain-occupancy.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
index 802cb1ff1..372fd2351 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json
@@ -39,8 +39,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/SKILL.md",
"src/inferrsi/data/skill_library/methods/kernel-writing-guide/cases/causal-conv1d-dispatch-state.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
index eb87a9515..b0ccffcc9 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/SKILL.md",
"src/inferrsi/data/skill_library/repositories/lmcache/kv-tier-management/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
index 11d4141ae..1be4faa41 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/SKILL.md",
"src/inferrsi/data/skill_library/frameworks/mlx/lazy-evaluation-stream-lifetimes/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
index 8dc97239a..d78d76fd7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/lily/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/lily/LICENSE",
"src/inferrsi/data/skill_library/repositories/lily/NOTICE.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
index 345bcda0f..de4b4d96b 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/lithos-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/lithos-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
index 1bd53bdf2..ea0873dab 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/local-dream/SKILL.md",
"src/inferrsi/data/skill_library/repositories/local-dream/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
index d9c4749e9..1e265df15 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/mistral-rs/LICENSE",
"src/inferrsi/data/skill_library/repositories/mistral-rs/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
index 8a7875293..2d666edfd 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlc-llm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlc-llm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
index 031637366..7d0c483e1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json
@@ -27,8 +27,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/LICENSE",
"src/inferrsi/data/skill_library/repositories/mlx-swift-lm/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
index 3b4d78e25..c9bfe7cc2 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/npu-skill-factory/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
index b4dd9215c..507ecadaf 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/optimization-search-policy/SKILL.md",
"src/inferrsi/data/skill_library/methods/optimization-search-policy/cases/sarathi-chunk-budget.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
index 8d36e43d4..e491a895a 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/os-process-placement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
index ac38a42fa..f45160e4c 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json
@@ -22,11 +22,12 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json",
+ "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/mooncake-prefix-reuse-feasibility.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/INTEGRATION_NOTES.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/MECHANISMS.md",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/README.md",
@@ -48,7 +49,7 @@
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/scripts/roofline.py",
"src/inferrsi/data/skill_library/skill-index.json"
],
- "content_sha256": "c5f78961c23e3c8d659f5675b522518ab06e1f2a8ea8bc74c5d428ffb41693d5"
+ "content_sha256": "4810761a3ab1e5e6e000060d9ad140a0e8892937486f2ab384d50868c22b0f11"
}
],
"index_type": "packaged-skill",
@@ -57,8 +58,9 @@
},
"checkout_ref": "checkout:performance-ceiling-analysis",
"source_files": {
- "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md": "c5f78961c23e3c8d659f5675b522518ab06e1f2a8ea8bc74c5d428ffb41693d5",
- "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json": "60b5b24ead590b0fb222398fba47822bf6723690da683e256a450bb5c0eeb806",
+ "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md": "4810761a3ab1e5e6e000060d9ad140a0e8892937486f2ab384d50868c22b0f11",
+ "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json": "3fcd2126846cf42ee77b1def39fc05ebfc54cf7428e0a6844b0ade1acf9f47ea",
+ "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/mooncake-prefix-reuse-feasibility.md": "e64b62fded4490708414a898f540b0319c54d2b205fd5d060acaab419734d100",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/INTEGRATION_NOTES.md": "083e462e0a204dce599362d46712fcfb392d053c5cda56216e22e28d4b8fa0fa",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/MECHANISMS.md": "742c249082ceca230326f4407a40130fe624553b796ae5a157a8a4c15a7e1398",
"src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/papers-20261015/README.md": "17b2d1c7c14124d59ac8a0d5ad4200ad2803d991e784a1a98cd97188cc364999",
@@ -125,6 +127,19 @@
],
"type": "git",
"revision_precision": "prefix"
+ },
+ {
+ "type": "paper",
+ "id": "usenix:fast25-qin",
+ "version": "FAST '25 proceedings, February 25-27, 2025, pp. 155-170",
+ "url": "https://www.usenix.org/system/files/fast25-qin.pdf",
+ "content_sha256": "543e56c541523c5e807d2231370f96749b2294bc901266397a7265b18ae2c130",
+ "sections": [
+ "2.2, Table 1, Equations 1-2",
+ "3.1 and 5.3 (storage-scope limits only)"
+ ],
+ "readset": "references/mooncake-prefix-reuse-feasibility.md",
+ "license": "UNKNOWN"
}
],
"verification": {
@@ -151,9 +166,11 @@
],
"empirical_validation": "not_run",
"limitations": [
- "Source-derived candidate; no local efficacy validation."
+ "Source-derived candidate; no local efficacy validation.",
+ "Mooncake's prefix-reuse condition is an analytical approximation; current cache validity, placement, effective rates, overlap and SLO outcomes remain unverified."
],
"provenance_readsets": [
+ "references/mooncake-prefix-reuse-feasibility.md",
"references/papers-20261015/cases/decision-cases.md",
"references/papers-20261015/govern-optimization-experiments/procedure.md",
"references/papers-20261015/govern-optimization-experiments/references/source-notes.md",
@@ -187,7 +204,8 @@
"The imported status describes this index, not the original skill; its declared status is candidate.",
"Reading or indexing does not authorize execution, validate efficacy, promote a candidate or grant a license.",
"The backend categorizes the procedure's hardware dependency; it does not certify compatibility, and skills.discovery is a discovery scenario.",
- "Source-derived candidate; no local efficacy validation."
+ "Source-derived candidate; no local efficacy validation.",
+ "Mooncake's prefix-reuse condition is an analytical approximation; current cache validity, placement, effective rates, overlap and SLO outcomes remain unverified."
],
"verification": {
"locally_verified": false,
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
index 6628993de..1c000bc57 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/plan-activation-residency/SKILL.md",
"src/inferrsi/data/skill_library/methods/plan-activation-residency/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
index ab5e7c969..5345db2b5 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/project-maya/LICENSE",
"src/inferrsi/data/skill_library/repositories/project-maya/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
index 22d2a73e4..4ddf37b27 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/SKILL.md",
"src/inferrsi/data/skill_library/methods/repository-evolution-analysis/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
index 1cf2ab78f..b1c230d1f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/skill-index.json",
"src/inferrsi/data/skill_library/workflows/rsi-evidence/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
index e7c102586..fcc3f3c47 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json
@@ -21,8 +21,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/SKILL.md",
"src/inferrsi/data/skill_library/methods/skill-evolution-playbook/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
index baa2bc08f..f151ead72 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json
@@ -25,8 +25,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/splash/LICENSE",
"src/inferrsi/data/skill_library/repositories/splash/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
index 284ae6e98..bcefba3e6 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json
@@ -24,8 +24,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/SKILL.md",
"src/inferrsi/data/skill_library/hardware/host/storage-io-measurement/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
index 3b9154d6e..0227a13cf 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/training-input-pipeline/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-input-pipeline/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
index 36d2b3b6b..664e488d1 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/training-resource-budget/SKILL.md",
"src/inferrsi/data/skill_library/methods/training-resource-budget/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
index 5926b1b46..fe864acfe 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/video-diffusion-optimization/assets/campaign.template.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
index 07d6ef81e..97c7fcb3d 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json
@@ -26,8 +26,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/vllm-metal/LICENSE",
"src/inferrsi/data/skill_library/repositories/vllm-metal/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
index 28bd1b94d..f85a58e45 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/SKILL.md",
"src/inferrsi/data/skill_library/methods/weight-loading-optimization/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
index 6d125d330..0c65f69a3 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json
@@ -23,8 +23,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/SKILL.md",
"src/inferrsi/data/skill_library/repositories/afd-plugin/audit-afd-p2p-exchanges/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
index a503c9605..ce9eacbc7 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json
@@ -29,8 +29,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/LICENSE",
"src/inferrsi/data/skill_library/repositories/flare-local-inference/audit-flare-session-lifecycle/SKILL.md",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
index 9b808038b..b631cb28f 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json
@@ -16,8 +16,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/diagnose-attention-bottlenecks/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
index c00d305b5..b1d173100 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json
@@ -22,8 +22,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/host-overhead-profiling/metadata.json",
diff --git a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
index 49aca185f..c8d16ca99 100644
--- a/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
+++ b/src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json
@@ -36,8 +36,8 @@
"sources": [
{
"type": "git",
- "url": "https://github.com/InferMatrixLab/InferRSI/blob/cfebda0a33d823573a2b20056bd6dcf0cfbd1413/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
- "commit": "cfebda0a33d823573a2b20056bd6dcf0cfbd1413",
+ "url": "https://github.com/InferMatrixLab/InferRSI/blob/54d4c89d4db82cbfc10d6096fe49bb077136e8b1/src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
+ "commit": "54d4c89d4db82cbfc10d6096fe49bb077136e8b1",
"paths": [
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/SKILL.md",
"src/inferrsi/data/skill_library/hardware/cuda/reason-hopper-kernels/metadata.json",