Packs entire code repositories into single, AI-friendly files optimized for Large Language Model analysis.
The Repomix skill enables developers to consolidate complex codebases into a single structured file specifically designed for AI consumption. It automatically handles token counting, security auditing for sensitive credentials, and comment removal to optimize context window usage. Whether analyzing a local project or a remote GitHub repository, Repomix ensures that Claude and other LLMs receive a coherent, high-density representation of the code structure and logic, making it an essential tool for codebase audits, bug hunting, and implementation planning.
주요 기능
01Hierarchical token counting and tree-view visualization
02Remote repository support via URL or GitHub shorthand
03Multi-format packaging in XML, Markdown, JSON, or Text
042 GitHub stars
05Automated security auditing and secret detection
06Smart filtering with .gitignore and custom include patterns
사용 사례
01Preparing large codebases for AI-assisted security audits and code reviews
02Analyzing third-party libraries and unfamiliar repositories efficiently
03Generating high-context documentation snapshots for LLM ingestion
