Package local and remote codebases into XML, Markdown, JSON, or plain text files.
npx skills add https://github.com/NammDev/Goads-Krea --skill repomix-nammdev
Please help me install this Agent Skill. Skill: repomix Source: https://github.com/NammDev/Goads-Krea/tree/main/.claude/skills/repomix Command: npx skills add https://github.com/NammDev/Goads-Krea --skill repomix-nammdev
Repomix packs entire repositories into AI-friendly files to simplify ingestion by LLMs, enabling efficient codebase analysis, auditing, and documentation workflows.
Run repomix in your project directory to generate an AI-friendly repository snapshot.
High-intent search queries and answers about installing and using this skill.
You can package a codebase for LLM context by running repomix in your project directory to generate an AI-optimized file. This process aggregates repository files while respecting .gitignore rules and outputs formats like XML, Markdown, or JSON.
Yes, repomix supports remote repository packaging without requiring a local clone. You can run it remotely via npx repomix to fetch and consolidate code into AI-friendly formats for analysis or documentation.
Yes, repomix includes token counting for LLM context management. This feature helps you track and manage token limits when packaging codebases into AI-optimized files for analysis.
You can exclude specific files when generating an AI-friendly repository snapshot by using configurable include and exclude patterns. This ensures only relevant code is packaged into XML, Markdown, or JSON outputs.
Yes, repomix performs security checks to detect sensitive data during codebase packaging. This ensures that AI-ready repository snapshots are safe for analysis and documentation generation workflows.
The best way to format code for multi-repo analysis is using repomix to generate AI-optimized files with clear separators and metadata. It supports multiple output formats including XML, Markdown, JSON, and plain text.
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