This skill optimizes Claude's performance within a repository by generating standardized AGENTS.md files that serve as dedicated documentation for AI assistants. By scanning source code and build manifests like package.json or pyproject.toml, it extracts real-world commands, testing procedures, and architectural patterns to ground AI agents in project-specific reality. It improves developer productivity by ensuring Claude understands unique coding conventions and operational constraints without manual setup, while strictly adhering to a safety-first approach that never overwrites existing documentation.
주요 기능
01Seamless Claude Code integration via automated CLAUDE.md companion file generation
02Automated context extraction from build tools, languages, and test frameworks
03Standardized six-core documentation structure including build, test, and style guides
04Safe generation guard that prevents overwriting any existing configuration files
051,777 GitHub stars
06Hierarchical support for root and nested folder-specific agent instructions
사용 사례
01Defining clear operational boundaries and 'Ask First' rules for AI assistants in production environments
02Standardizing AI instructions across a monorepo with multiple distinct packages and tech stacks
03Onboarding an AI coding agent to a complex legacy codebase with custom build steps