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Repomix

Free

Pack and analyze codebases for AI-friendly exploration.

by yamadashy27.7k stars on yamadashy/repomix
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Updated Aug 9, 2026
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Free · Opens the source repo

What Repomix does

Repomix is a powerful tool designed for developers and engineers who need to analyze and explore codebases efficiently. It allows users to pack entire repositories into a single file that is optimized for AI analysis, making it easier to understand the structure and patterns within the code. With support for both local directories and remote GitHub repositories, Repomix is versatile and can be used in a variety of scenarios, from security checks to token counting.

The tool intelligently handles repository files by respecting .gitignore rules and automatically excluding sensitive files such as API keys and credentials. This ensures that the analysis is both thorough and secure, allowing developers to focus on the code itself without worrying about exposing sensitive information. The generated output is structured and can be formatted in XML, Markdown, Plain, or JSON, depending on the user's needs.

Repomix is particularly useful when exploring large codebases or when specific analysis is required, such as identifying authentication-related code or understanding the overall structure of a project. The command-line interface is straightforward, with options to compress large repositories, include or ignore specific patterns, and specify output paths, making it a flexible choice for various workflows.

Whether you are a developer looking to gain insights into a new codebase or a security analyst needing to perform a thorough review, Repomix provides the tools necessary to streamline your analysis process and enhance your understanding of complex code structures.

When to use it

Use Repomix when you need to explore a repository, analyze its structure, or prepare code for AI-driven insights.

When not to use it

If your analysis requires real-time collaboration or interactive exploration, Repomix may not be the best fit as it focuses on packing and generating static outputs.

What you can build with it

Analyzing a Large Repository

Use Repomix to pack a large codebase, applying compression to manage token counts effectively.

Exploring Authentication Code

Run Repomix to find all authentication-related code in a repository, streamlining security audits.

Preparing Code for AI Insights

Pack a codebase into an AI-friendly format for subsequent analysis by AI tools, enhancing understanding.

How to install Repomix

View source

1. Install with the skills CLI

npx skills add yamadashy/repomix/clawhub --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by yamadashy

Repomix — Codebase Packer & Analyzer

Pack entire codebases into a single, AI-friendly file for analysis. Repomix intelligently collects repository files, respects .gitignore, runs security checks, and generates structured output optimized for LLM consumption.

When to Use

  • "Analyze this repo" / "Explore this codebase"
  • "What's the structure of facebook/react?"
  • "Find all authentication-related code"
  • "How many tokens is this project?"
  • "Pack this repo for AI analysis"
  • "Show me the main components of vercel/next.js"

Quick Reference

Pack a Remote Repository

npx repomix@latest --remote <owner/repo> --output /tmp/<repo-name>-analysis.xml

Always output to a temporary directory (/tmp on Unix, %TEMP% on Windows) for remote repositories to avoid polluting the user's working directory.

Pack a Local Directory

npx repomix@latest [directory] --output /tmp/<name>-analysis.xml

Key Options

OptionDescription
--style <format>Output format: xml (default, recommended), markdown, plain, json
--compressTree-sitter compression (~70% token reduction) — use for large repos
--include <patterns>Include only matching patterns (e.g., "src/**/*.ts,**/*.md")
--ignore <patterns>Additional ignore patterns
--output <path>Custom output path (default: repomix-output.xml)
--remote-branch <name>Specific branch, tag, or commit (for remote repos)

Workflow

Step 1: Pack the Repository

Choose the appropriate command based on the target:

# Remote repository (always output to /tmp)
npx repomix@latest --remote yamadashy/repomix --output /tmp/repomix-analysis.xml

# Large remote repo with compression
npx repomix@latest --remote facebook/react --compress --output /tmp/react-analysis.xml

# Local directory
npx repomix@latest ./src --output /tmp/src-analysis.xml

# Specific file types only
npx repomix@latest --include "**/*.{ts,tsx,js,jsx}" --output /tmp/filtered-analysis.xml

Step 2: Check Command Output

The command displays:

  • Files processed: Number of files included
  • Total characters: Size of content
  • Total tokens: Estimated AI tokens
  • Output file location: Where the file was saved

Note the output file location for subsequent analysis.

Step 3: Analyze the Output

Structure overview:

  1. Search for the file tree section (near the beginning of the output)
  2. Check the metrics summary for overall statistics

Search for patterns (use the output file path from Step 2):

# Find exports and main entry points
grep -iE "export.*function|export.*class" <output-file>

# Search with context
grep -iE -A 5 -B 5 "authentication|auth" <output-file>

# Find API endpoints
grep -iE "router|route|endpoint|api" <output-file>

# Find database models
grep -iE "model|schema|database|query" <output-file>

Read specific sections using offset/limit for large outputs.

Step 4: Report Findings

  • Metrics: Files, tokens, size from command output
  • Structure: Directory layout from file tree analysis
  • Key findings: Based on pattern search results
  • Next steps: Suggestions for deeper exploration

Best Practices

  1. Use --compress for large repos (>100k lines) to reduce token usage by ~70%
  2. Use pattern search first before reading entire output files
  3. Use a temporary directory for output (/tmp on Unix, %TEMP% on Windows) to keep the user's workspace clean
  4. Use --include to focus on specific parts of a codebase
  5. XML is the default and recommended format — it has clear file boundaries for structured analysis

Output Formats

FormatBest For
XML (default)Structured analysis, clear file boundaries
MarkdownHuman-readable documentation
PlainSimple grep-friendly output
JSONProgrammatic/machine analysis

Error Handling

  • Command fails: Check error message, verify repository URL/path, check permissions
  • Output too large: Use --compress, narrow scope with --include
  • Network issues (remote): Verify connection, suggest local clone as alternative
  • Pattern not found: Try alternative patterns, check file tree to verify files exist

Security

Repomix automatically excludes potentially sensitive files (API keys, credentials, .env files) through built-in security checks. Trust its security defaults unless the user explicitly requests otherwise.

Frequently asked questions about Repomix

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