Pack repositories into AI-friendly context files with multi-format output.
npx skills add https://github.com/EdgeHunt/EdgeHunt --skill ck-repomix-edgehunt
Please help me install this Agent Skill. Skill: ck:repomix Source: https://github.com/EdgeHunt/EdgeHunt/tree/main/.claude/skills/repomix Command: npx skills add https://github.com/EdgeHunt/EdgeHunt --skill ck-repomix-edgehunt
Repomix packs entire repositories into AI-friendly files to simplify preparing large codebases for AI analysis, context provisioning, security reviews, and knowledge capture.
Run repomix in your target repository to generate an AI-friendly context file.
High-intent search queries and answers about installing and using this skill.
You can pack repositories into AI-friendly context files using repomix, which supports XML, Markdown, and JSON output. It processes your codebase while respecting .gitignore rules to generate a single file for LLM ingestion.
Yes, repomix includes optional security checks to detect sensitive information during repository packaging. This ensures that secrets or vulnerable data are flagged before the AI-friendly context file is generated for LLM analysis.
Yes, you can package remote Git repositories into AI-friendly files. Repomix supports remote repository ingestion, allowing you to directly pull and format external codebases for LLM context and security audits.
To count tokens when preparing a codebase, use repomix to generate the AI-friendly context file. It includes built-in token counting features to help you manage LLM context window limits effectively during code reviews.
The best way to format source code for AI documentation is using repomix to create AI-optimized files with clear separators. It respects .gitignore and outputs deterministic Markdown or XML files for accurate AI analysis.
Yes, repomix is applicable to codebases of varying sizes for security audits. It uses Git-aware packaging to process large repositories efficiently while running security checks to detect sensitive information.
leto-labsMirror external repositories locally via Git, jq, and base64 tooling.
locdinh209Package code repositories into single XML, Markdown, or plain text files.
rafaelcallejaPackage local and remote codebases into XML, Markdown, JSON, or Plain with token counting and security checks.
senrecepBuild and traverse recursive hierarchical tree structures with query, transform, and fold operations.
