repomix

Package local or remote repositories into single XML, Markdown, JSON, or Plain outputs.

10|Updated Nov 20, 2025

Search Tags:#context #LLM #packaging #repository #repomix #token-count

Ready to run

npx skills add https://github.com/samhvw8/dot-claude --skill repomix-samhvw8

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: repomix
Source: https://github.com/samhvw8/dot-claude/tree/main/skills/repomix
Command: npx skills add https://github.com/samhvw8/dot-claude --skill repomix-samhvw8

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires repomix, node, npm, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Repomix packages entire repositories into AI-friendly single outputs to feed LLMs, simplifying context provisioning for Claude, ChatGPT, Gemini, and others.

Core Features & Use Cases

Repository Packaging: Output in multiple formats (XML/Markdown/JSON/Plain) with token counting
Remote Support: Package remote repos without cloning
Pattern & Security: Respect .gitignore, apply filtering, and perform basic security checks

Quick Start

Package current directory into a single XML output: repomix

Frequently Asked Questions about repomix

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I package a repository into a single file for LLM context?▼

Package repositories into AI-friendly single outputs using repomix, which bundles entire codebases into XML, Markdown, JSON, or plain text formats optimized for LLM ingestion without manual file selection or context loss.

Can I package remote repositories without cloning them locally?▼

Repomix supports remote repository packaging, allowing you to generate AI-ready context from GitHub, GitLab, or other remote sources directly without downloading or cloning the full repository first.

What output formats does repository packaging support?▼

Repository packaging outputs multiple formats—XML, Markdown, JSON, and plain text—each optimized for different LLM workflows, with built-in token counting to manage context window constraints.

Does repository packaging respect .gitignore patterns and security concerns?▼

Repomix respects .gitignore rules during packaging, applies pattern-based filtering, performs basic security checks, and optionally strips comments to reduce token overhead while protecting sensitive paths.

Can I use repository packaging across different programming languages?▼

Repository packaging works across languages and frameworks since it processes entire codebases structurally, making it suitable for polyglot projects, security audits, bug investigation, and AI-driven implementation planning regardless of language.