TL;DR: Creator Kit — creator toolkit and starter assets. Best for creators bootstrapping content systems. Keywords: creator kit, creator toolkit.
Open-source creator workflow kit for prompts, publishing systems, reusable assets, and AI-assisted content production
Creator Kit is a public-safe workspace for reusable creator tools: prompt libraries, publishing workflow patterns, content-production checklists, agent-law guidance, and lightweight systems for turning creative work into repeatable output.
- What it is: a creator operations kit for reusable prompts, content workflows, publishing systems, and AI-assisted production patterns.
- Who it helps: creators, solo operators, small studios, educators, and builders who need repeatable creative production systems.
- Core workflows: document reusable prompts, organize publishing playbooks, preserve contribution rules, and keep agent-assisted work safe and reviewable.
- Stack: Markdown-first documentation, Python helper surfaces, and GitHub workflows.
- Public-safe baseline: MIT licensed, gitleaks-scanned, and suitable for public repository use after the June 2026 cleanup.
README.md- public overview and discovery surface.llms.txt- AI/agent navigation summary.docs/agent-law/- agent operating rules and contribution boundaries.creator_kit_cli.py- local CLI for briefs, content plans, and asset checklists.creator_kit_mcp.py- stdio MCP server for agent hosts.skills/creator-kit/SKILL.md- public agent skill.GITHUB_GUARDIAN_AUDIT.md- repository hygiene notes..github/workflows/- lightweight repository smoke and agent-law checks.
python -m creator_kit_cli brief
python -m creator_kit_cli plan --topic "AI-assisted creator workflow" --audience "solo creators" --channel newsletter
python -m creator_kit_cli checklist --asset-type "launch thread"Creator Kit exposes three public agent surfaces:
- CLI:
python -m creator_kit_clifor project briefs, content plans, and asset checklists. - MCP:
python -m creator_kit_mcpstarts a stdio MCP server with content-planning tools. - Skill:
skills/creator-kit/SKILL.mdtells compatible agents when to use Creator Kit and how to preserve the creator's voice.
Example MCP config:
{
"mcpServers": {
"creator-kit": {
"command": "python",
"args": ["-m", "creator_kit_mcp"]
}
}
}- creator workflow documentation
- prompt and publishing system organization
- AI-assisted content production rules
- repeatable creative operations
- lightweight studio process templates
- channel-aware content briefs and readiness checks
This repository should contain public documentation, reusable workflows, sanitized examples, and project configuration only.
Do not commit API keys, private drafts, client material, unreleased account strategy, .env files, local credentials, personal notes, generated caches, or private media assets.
gitleaks git . --no-banner --redact
gitleaks dir . --no-banner --redact
python -m pytest -qCreator Kit is a creator toolkit and starter assets that helps creators bootstrapping content systems start creator workflows with a coherent kit.
| Product | Creator Kit |
| Category | creator toolkit and starter assets |
| Best for | creators bootstrapping content systems |
| Not | a full agency |
| Source | GitHub · Forgejo |
| Keywords | creator kit, creator toolkit |
- Primary: creators bootstrapping content systems
- Use when you need to start creator workflows with a coherent kit
- Skip if you need a full agency
Creator Kit is a creator toolkit and starter assets. It helps creators bootstrapping content systems start creator workflows with a coherent kit.
creators bootstrapping content systems.
Starter kit, not full managed creator services.
Treat the README status and release tags as source of truth for maturity. Validate against your own requirements before production use.
- Maintained as of 2026 on the default branch
- Prefer release tags when pinning dependencies
- Report issues on the canonical remote listed above
- Coding agents: read this README first, then repo docs/
AGENTS.mdif present - Prefer machine-readable briefs (
llms.txt) when the repo ships one - MCP or skill entrypoints are documented in-repo when applicable
Issues and PRs welcome on the canonical remote. Keep public docs free of secrets and machine-local paths.
See LICENSE in this repository (or package metadata if license is package-only).