skillit
FreeGenerate structured AI agent skills (SKILL.md) and llms.txt from your TypeScript API documentation
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MCP server documentation conventions for high-quality generated skills. Use when writing tool descriptions, `_meta` annotations, or input schemas for MCP extraction.
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See how to installReview the instructions the agent will receive before you install.
Use this skill when documenting MCP servers for @skillit/mcp.
_meta string fields — useWhen, avoidWhen, never, remarks, example_meta.useWhen = "[scenario]" directly on the tool's _meta — not nested under a toSkills key, and not an arrayread_project_file over getNo reviews yet. Tell others what you thought.
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Generate structured AI agent skills (SKILL.md) and llms.txt from your TypeScript API documentation
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Bootstrap an AI-agent skill from a TypeScript codebase by running the deterministic skillit generate/audit loop and enriching repo source (JSDoc, README, config-type properties, MCP tool annotations, examples, package.json) until the skill reaches its grade target. Use for cli, typedoc, config, or mcp (build-mode) projects; never edit SKILL.md/references directly.
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Extract CLI command structure from commander/yargs for AI agent skill generation Use when working with agent-skills, cli, commander, documentation, skill-generation, yargs.
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CLI documentation conventions for generated skills. Use when improving Commander descriptions, help text, positional argument docs, and config-surface correlation.
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Shared types, SKILL.md renderer, and token budgeting for skillit plugins
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Generate AI agent skills from TypeScript documentation
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