Curated collection of exemplary claude.md files and onboarding patterns from public GitHub projects. Includes analyses, best practices, and templates to help developers create effective AI onboarding documentation for their codebases.
🌟 A curated collection of free, high quality AI tools 🤖, APIs 🔗, datasets 📊, and learning resources 📚 covering machine learning 🧠, deep learning 🧩, generative AI 🎨, NLP 💬, and data science 📈. Designed to help developers 👩💻, researchers 🔬, and creators ✨ explore and build with AI faster ⚡.
Keep the Why: a repo-native convention and agent skill that preserves the reasoning behind a codebase as a byproduct of working with your agent — so it stops re-suggesting rejected approaches, gives better answers, speeds up onboarding, and makes legacy projects tractable again.
Set up and improve harness engineering (AGENTS.md, docs/, lint rules, eval systems, project-level prompt engineering) for AI-agent-friendly codebases. Triggers on: new/empty project setup for AI agents, AGENTS.md or CLAUDE.md creation, harness engineering questions, making agents work better on a codebase.
