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.
主要功能
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
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06Hierarchical support for root and nested folder-specific agent instructions
使用场景
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