pradeepmouli
- 11 skills
- 0 followers
- 14 hours ago last updated
- ▌ Skillit Docs 2 · pradeepmouliDocumentation conventions for generating high-quality AI agent skills from TypeScript source. Use when preparing a library for skill generation, auditing JSDoc quality, fixing audit warnings, writing @useWhen/@avoidWhen/@never tags, or asking about documentation conventions for skills.
- ▌ Skillit Docs 3 · pradeepmouliDocumentation conventions for generating high-quality AI agent skills from TypeScript source. Use when preparing a library for skill generation, auditing JSDoc quality, fixing audit warnings, writing @useWhen/@avoidWhen/@never tags, or asking about documentation conventions for skills. Use this even if the user just says 'audit my docs', 'improve my JSDoc', or 'make my skills better'.
- ▌ Skillit · pradeepmouli bundleGenerate structured AI agent skills (SKILL.md) and llms.txt from your TypeScript API documentation
- ▌ Skillit CLI · pradeepmouli bundleExtract CLI command structure from commander/yargs for AI agent skill generation Use when working with agent-skills, cli, commander, documentation, skill-generation, yargs.
- ▌ Skillit Core · pradeepmouli bundleShared types, SKILL.md renderer, and token budgeting for skillit plugins
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- ▌ Skillit Refine · pradeepmouli bundleAutonomously improve an MCP skill via the skillit audit→draft→review loop (build or runtime mode) Also: skillit, refine, mcp, skill-generation, cli, audit, overlay.
- ▌ Skillit Typedoc · pradeepmouli bundleTypeDoc plugin that generates AI agent skills (SKILL.md) from TypeScript API documentation Use when working with agent-skills, ai, documentation, llm, skill-md, typedoc, typedoc-plugin.
- ▌ Skillit CLI Docs · pradeepmouliCLI documentation conventions for generated skills. Use when improving Commander descriptions, help text, positional argument docs, and config-surface correlation.
- ▌ Skillit MCP Docs · pradeepmouliMCP server documentation conventions for high-quality generated skills. Use when writing tool descriptions, `_meta` annotations, or input schemas for MCP extraction.
- ▌ Skillit Bootstrap · pradeepmouli bundleBootstrap 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.