
repomix
Repository packaging for AI/LLM analysis. Capabilities: pack repos into single files, generate AI-friendly context, codebase snapshots, security audit prep, filter/exclude patterns, token counting, multiple output formats. Actions: pack, generate, export, analyze repositories for LLMs. Keywords: Repomix, repository packaging, LLM context, AI analysis, codebase snapshot, Claude context, ChatGPT context, Gemini context, code packaging, token count, file filtering, security audit, third-party library analysis, context window, single file output. Use when: packaging codebases for AI, generating LLM context, creating codebase snapshots, analyzing third-party libraries, preparing security audits, feeding repos to Claude/ChatGPT/Gemini.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/samhvw8/dot-claude --skill repomix- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads repomix automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Repomix Skill
Repomix is a powerful tool that packs entire repositories into single, AI-friendly files. Perfect for when you need to feed codebases to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, and Gemini.
When to Use This Skill
Use this skill when:
- User needs to package a codebase for AI analysis
- Preparing repository context for LLM consumption
- Generating codebase snapshots for documentation
- Analyzing third-party libraries or repositories
- Creating AI-friendly representations of code projects
- Investigating bugs across large codebases
- Performing security audits on repositories
- Generating context for implementation planning
Core Capabilities
1. Repository Packaging
Repomix packages entire repositories into single files with:
- AI-optimized formatting with clear separators
- Multiple output formats (XML, Markdown, JSON, Plain text)
- Git-aware processing (respects .gitignore)
- Token counting for LLM context management
- Security checks for sensitive information
2. Remote Repository Support
Can process remote repositories without cloning:
- Shorthand:
npx repomix --remote yamadashy/repomix - Full URL:
npx repomix --remote https://github.com/owner/repo - Specific commits:
npx repomix --remote https://github.com/owner/repo/commit/hash
3. Comment Removal
Strips comments from supported languages when needed:
- Supported: HTML, CSS, JavaScript, TypeScript, Vue, Svelte, Python, PHP, Ruby, C, C#, Java, Go, Rust, Swift, Kotlin, Dart, Shell, YAML
- Enable with:
--remove-commentsor config file
Installation
Check if installed first:
repomix --version
Install using preferred method:
# npm
npm install -g repomix
# yarn
yarn global add repomix
# bun
bun add -g repomix
# Homebrew (macOS/Linux)
brew install repomix
Basic Usage
Package Current Directory
# Basic packaging (generates repomix-output.xml)
repomix
# Specify output format
repomix --style markdown
repomix --style json
repomix --style plain
# Custom output path
repomix -o custom-output.xml
Package Specific Directory
repomix /path/to/directory
Package Remote Repository
# Shorthand format
npx repomix --remote owner/repo
# Full URL
npx repomix --remote https://github.com/owner/repo
# Specific commit
npx repomix --remote https://github.com/owner/repo/commit/abc123
Command Line Options
File Selection
# Include specific patterns
repomix --include "src/**/*.ts,*.md"
# Ignore additional patterns
repomix -i "tests/**,*.test.js"
# Disable .gitignore rules
repomix --no-gitignore
# Disable default ignore patterns
repomix --no-default-patterns
Output Configuration
# Output format
repomix --style markdown # or xml, json, plain
# Output file path
repomix -o output.md
# Remove comments
repomix --remove-comments
# Show line numbers
repomix --no-line-numbers # disable line numbers
Security & Analysis
# Run security checks
repomix --no-security-check # disable security scanning
# Copy to clipboard
repomix --copy # copy output to clipboard
# Verbose output
repomix --verbose
Configuration
# Use custom config file
repomix -c custom-config.json
# Initialize new config
repomix --init # creates repomix.config.json
Configuration File
Create repomix.config.json in project root:
{
"output": {
"filePath": "repomix-output.xml",
"style": "xml",
"removeComments": false,
"showLineNumbers": true,
"copyToClipboard": false
},
"include": ["**/*"],
"ignore": {
"useGitignore": true,
"useDefaultPatterns": true,
"customPatterns": [
"additional-folder",
"**/*.log",
"**/tmp/**"
]
},
"security": {
"enableSecurityCheck": true
}
}
Ignore Patterns
.repomixignore File
Create .repomixignore for Repomix-specific ignore patterns (same format as .gitignore):
# Build artifacts
dist/
build/
*.min.js
# Test files
**/*.test.ts
**/*.spec.ts
coverage/
# Large files
*.mp4
*.zip
# Sensitive files
.env*
secrets/
Precedence Order
- CLI ignore patterns (
-iflag) .repomixignorefile- Custom patterns in config file
.gitignorefile (if enabled)- Default patterns (if enabled)
Output Formats
XML Format (Default)
Best for structured AI consumption:
repomix --style xml
Markdown Format
Human-readable with syntax highlighting:
repomix --style markdown
JSON Format
For programmatic processing:
repomix --style json
Plain Text
Simple concatenation:
repomix --style plain
Use Cases & Examples
1. Code Review Preparation
# Package feature branch for AI review
repomix --include "src/**/*.ts" --remove-comments -o feature-review.md --style markdown
2. Security Audit
# Package third-party library for analysis
npx repomix --remote vendor/library --style xml -o audit.xml
3. Documentation Generation
# Package with docs and code
repomix --include "src/**,docs/**,*.md" --style markdown -o context.md
4. Bug Investigation
# Package specific modules
repomix --include "src/auth/**,src/api/**" -o debug-context.xml
5. Implementation Planning
# Full codebase context for planning
repomix --remove-comments --copy
Token Management
Repomix automatically counts tokens for:
- Individual files
- Total repository
- Per-format output
Use token counts to manage LLM context limits:
- Claude: ~200K tokens
- GPT-4: ~128K tokens
- GPT-3.5: ~16K tokens
Security Considerations
Sensitive Data Detection
Repomix uses Secretlint to detect:
- API keys and tokens
- Passwords and credentials
- Private keys
- AWS secrets
- Database connection strings
Disable if needed:
repomix --no-security-check
Best Practices
- Always review output before sharing
- Use
.repomixignorefor sensitive files - Enable security checks for unknown codebases
- Avoid packaging
.envfiles - Check for hardcoded credentials
Performance Optimization
Large Repositories
Repomix uses worker threads for parallel processing:
- Efficiently handles large codebases
- Example: facebook/react processed 29x faster (123s → 4s)
Optimization Tips
# Exclude unnecessary files
repomix -i "node_modules/**,dist/**,*.min.js"
# Process specific directories only
repomix --include "src/**/*.ts"
# Disable line numbers for smaller output
repomix --no-line-numbers
Workflow Integration
With Claude Code
# Package and analyze in one workflow
repomix --style markdown --copy
# Then paste into Claude for analysis
With CI/CD
# Generate codebase snapshot for releases
repomix --style markdown -o release-snapshot.md
With Git Hooks
# Pre-commit hook to generate context
repomix --include "src/**" -o .context/latest.xml
Common Patterns
Full Repository Package
repomix --remove-comments --style markdown -o full-repo.md
Source Code Only
repomix --include "src/**/*.{ts,tsx,js,jsx}" -i "**/*.test.*"
Documentation Bundle
repomix --include "**/*.md,docs/**" --style markdown
TypeScript Project
repomix --include "**/*.ts,**/*.tsx" --remove-comments --no-line-numbers
Remote Analysis
npx repomix --remote owner/repo --style xml -o analysis.xml
Troubleshooting
Issue: Output Too Large
# Exclude unnecessary files
repomix -i "node_modules/**,dist/**,coverage/**"
# Process specific directories
repomix --include "src/**"
Issue: Missing Files
# Disable .gitignore rules
repomix --no-gitignore
# Check ignore patterns
cat .repomixignore
Issue: Sensitive Data Warnings
# Review flagged files
# Add to .repomixignore
# Or disable checks: --no-security-check
Implementation Workflow
When user requests repository packaging:
-
Assess Requirements
- Identify target repository (local/remote)
- Determine output format needed
- Check for sensitive data concerns
-
Configure Filters
- Set include patterns for relevant files
- Add ignore patterns for unnecessary files
- Enable/disable comment removal
-
Execute Packaging
- Run repomix with appropriate options
- Monitor token counts
- Verify security checks
-
Validate Output
- Review generated file
- Confirm no sensitive data
- Check token limits for target LLM
-
Deliver Context
- Provide packaged file to user
- Include token count summary
- Note any warnings or issues
Best Practices
- Start with defaults: Run basic
repomixfirst, then refine - Use .repomixignore: Better than CLI flags for complex patterns
- Enable security checks: Especially for third-party code
- Choose right format: XML for AI, Markdown for humans
- Monitor token counts: Stay within LLM limits
- Remove comments: When focusing on logic over documentation
- Version output: Include in .gitignore, regenerate as needed
- Test patterns: Verify include/exclude work as expected
Related Tools
- Context7: For up-to-date library documentation
- Git: For repository history analysis
- Secretlint: For security scanning
- Token counters: For LLM context management
Additional Resources
- GitHub: https://github.com/yamadashy/repomix
- Documentation: https://repomix.com/guide/
- MCP Server: Available for AI assistant integration
- Claude Code Plugin: Official integration available
FAQ
What does the repomix skill do?
Repository packaging for AI/LLM analysis. Capabilities: pack repos into single files, generate AI-friendly context, codebase snapshots, security audit prep, filter/exclude patterns, token counting, multiple output formats. Actions: pack, generate, export, analyze repositories for LLMs. Keywords: Repomix, repository packaging, LLM context, AI analysis, codebase snapshot, Claude context, ChatGPT context, Gemini context, code packaging, token count, file filtering, security audit, third-party library analysis, context window, single file output. Use when: packaging codebases for AI, generating LLM context, creating codebase snapshots, analyzing third-party libraries, preparing security audits, feeding repos to Claude/ChatGPT/Gemini.
How do I install repomix?
Run npx skills add https://github.com/samhvw8/dot-claude --skill repomix in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/repomix/ (personal) or .claude/skills/repomix/ (project).
Which AI agents can use repomix?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is repomix safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains repomix?
It is published by samhvw8 in samhvw8/dot-claude. It has 55 recorded installs.
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