Pack software repositories into XML, Markdown, JSON, or plain text snapshots.
npx skills add https://github.com/jangtrinh/demo-Lam --skill ck-repomix-jangtrinh
Please help me install this Agent Skill. Skill: ck:repomix Source: https://github.com/jangtrinh/demo-Lam/tree/main/.claude/skills/repomix Command: npx skills add https://github.com/jangtrinh/demo-Lam --skill ck-repomix-jangtrinh
Repomix eliminates the manual effort of preparing a repository snapshot for LLMs by automatically packing relevant files into AI-friendly outputs, while helping reduce context bloat and flagging sensitive data.
Use repomix to package the current repository into a Markdown snapshot for AI review.
High-intent search queries and answers about installing and using this skill.
You can package remote GitHub repositories for LLM context by providing the repository URL, which automatically fetches and packs the codebase into structured AI-friendly snapshot files without requiring a local clone.
Yes, converting a codebase into Markdown or XML for AI analysis automatically respects .gitignore rules and supports custom include or exclude glob patterns to scope the repository snapshot precisely.
Repository packaging for LLM context includes built-in token counting to manage context limits and performs security scanning to flag sensitive data like secrets within the generated snapshot files.
The best way to prepare multiple repositories for AI codebase understanding is using the batch processing utility, which applies consistent packaging options across repositories to generate uniform AI-ready snapshots.
To reduce context bloat when creating a repository snapshot for debugging preparation, you can enable optional comment removal and use scoped include patterns to output only the essential codebase files.
When packing a repository for third-party library review, the supported output formats are XML, Markdown, JSON, and plain text, allowing seamless integration with various downstream LLM workflows.
Soul-Brews-StudioManage external GitHub repositories across local ghq clones and remote GitHub.
VoDaiLoczPackage entire code repositories into XML, Markdown, JSON, and plain text files.
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MatrixFounderScan directory structures and synthesize file summaries to regenerate architecture documentation.
