yamadashy/repomix

Agent skills in the GitHub repository yamadashy/repomix, each with its code score out of 100.

📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

Repository score

71 / 100 B

Skills

6

Verified

1

Average skill score

64

GitHub stars

29,240

License

MIT

Open yamadashy/repomix on GitHub

6 skills in this repository

1. repomix-explorer

   Analyze or explore a codebase (remote or local repository) by packing it with the Repomix CLI, then reading and searching the generated output. Use when the user wants a high-leve…

   Verified80B
2. contextual-commit

   Write contextual commits that capture intent, decisions, and constraints alongside code changes. Use when committing code, finishing a task, or when the user asks to commit. Exten…

   68C
3. repomix

   Pack and analyze codebases into AI-friendly single files using Repomix. Use when the user wants to explore repositories, analyze code structure, find patterns, check token counts,…

   66C
4. website-maintainer

   Use this skill when working on the Repomix documentation website in `website/` directory, including VitePress configuration, multi-language content, or translation workflows.

   60C
5. browser-extension-developer

   Use this skill when developing or maintaining browser extension code in the `browser/` directory, including Chrome/Firefox/Edge compatibility, content scripts, background scripts,…

   58C
6. agent-carnet

   Use this skill when the user asks to save, recall, find, or organize notes. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check the note…

   54D

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.