Repomix
Pack codebases into single files optimized for AI analysis and exploration.
Installation
- Make sure Claude is on your device and in your terminal.
Skills load from
~/.claude/skills/when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then runclaudein any terminal to verify.One-time setupnpm i -g @anthropic-ai/claude-codeAlready have it? Skip ahead.
- Paste into Claude Code or into your terminal.
This copies the whole skill folder into
~/.claude/skills/repomix-yamadashy/— the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.Faster alternative (instruction-only skills)
Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.
Quick install (SKILL.md only)Sign up to copy - Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from
~/.claude/skills/). New skills are picked up on startup. - Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.
Prefer to read the source first? Open on GitHub.
When Claude uses it
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, or prepare codebase context for AI analysis. Supports both local directories and remote GitHub repositories.
What this skill does
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
| Option | Description |
|---|---|
--style <format> | Output format: xml (default, recommended), markdown, plain, json |
--compress | Tree-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:
- Search for the file tree section (near the beginning of the output)
- 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
- Use
--compressfor large repos (>100k lines) to reduce token usage by ~70% - Use pattern search first before reading entire output files
- Use a temporary directory for output (
/tmpon Unix,%TEMP%on Windows) to keep the user's workspace clean - Use
--includeto focus on specific parts of a codebase - XML is the default and recommended format — it has clear file boundaries for structured analysis
Output Formats
| Format | Best For |
|---|---|
| XML (default) | Structured analysis, clear file boundaries |
| Markdown | Human-readable documentation |
| Plain | Simple grep-friendly output |
| JSON | Programmatic/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.
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