Generate marketing-oriented READMEs, changelogs from git history and conventional commits, roadmaps from GitHub milestones and issues, and task-oriented user guides. Audit documentation completeness, quality score, freshness, and coverage across README, CONTRIBUTING, issue templates; auto-generate missing files and refresh based on git changes. Optimize for GEO, SEO, and AI citation with llms.txt.
Turn any codebase into professional, marketing-ready repository documentation — powered by AI coding assistants.
Give your AI the knowledge to map out any codebase, extract a features-and-benefits summary, then create, enhance, and maintain professional public-facing repository docs — works with GitHub, GitLab, and Bitbucket. 100% Markdown, zero runtime dependencies — use with Claude Code, OpenCode, Codex CLI, Cursor, Gemini CLI, and more. SEO and GEO ready with llms.txt (including external documentation sites), and npm/PyPI registry compatible.
# 1. Add the LBA plugin marketplace (once)
/plugin marketplace add littlebearapps/lba-plugins
# 2. Install PitchDocs
/plugin install pitchdocs@lba-plugins
# 3. Generate a README for any project
/pitchdocs:readme
Note: When installed as a plugin, all commands use the pitchdocs: prefix (e.g., /pitchdocs:readme). The short form /readme only works inside the pitchdocs source directory.
Optional — Enable per-project advisory features:
PitchDocs commands work everywhere, but quality standards, smart documentation suggestions, and freshness checking are opt-in per-project:
Your AI agent maintains its own context files — a Claude Code plugin with an AGENTS-first model that covers Codex, Copilot, Cursor, Gemini, and 3 more tools. Signal Gate filtering, Context Guard hooks, health scoring, and MEMORY.md promotion.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
