mcpField
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repomix

repomix

github.com/jackspaceDevelopment1638 installsUpdated 12w ago
Repository

About repomix

Repomix Skill guides use of Repomix, a repository-packaging tool that consolidates codebases into a file suited to LLM analysis. It supports workflows such as code review, security audits, and preparing documentation context.

Key features

  1. 01Package repositories into a single file
  2. 02Output XML, Markdown, JSON, or plain text
  3. 03Process remote repositories without cloning
  4. 04Select files by patterns and remove comments
  5. 05Count tokens and check for sensitive data

Use cases

  1. 01Prepare a codebase for AI code review
  2. 02Package a third-party library for security auditing
  3. 03Gather code and docs as documentation context
  4. 04Collect relevant modules for bug investigation

MCP support

The README notes that an MCP Server is available for AI assistant integration, but does not describe its specific capabilities.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jackspace/claudeskillz --skill repomix

After installing, type/repomixin Claude Code to confirm it loaded.

Bundled filesSKILL.json

Details

From the project README

Repomix Skill

Repomix packs entire repositories into single, AI-friendly files. Perfect for feeding codebases to LLMs like Claude, ChatGPT, and Gemini.

When to Use

Use when:

  • Packaging codebases for AI analysis
  • Creating repository snapshots for LLM context
  • Analyzing third-party libraries
  • Preparing for security audits
  • Generating documentation context
  • Investigating bugs across large codebases
  • Creating AI-friendly code representations

Quick Start

Check Installation
repomix --version
Install
# npm
npm install -g repomix

# Homebrew (macOS/Linux)
brew install repomix
Basic Usage
# Package current directory (generates repomix-output.xml)
repomix

# Specify output format
repomix --style markdown
repomix --style json

# Package remote repository
npx repomix --remote owner/repo

# Custom output with filters
repomix --include "src/**/*.ts" --remove-comments -o output.md

Core Capabilities

Repository Packaging
  • 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
Remote Repository Support

Process remote repositories without cloning:

# Shorthand
npx repomix --remote yamadashy/repomix

# Full URL
npx repomix --remote https://github.com/owner/repo

# Specific commit
npx repomix --remote https://github.com/owner/repo/commit/hash
Comment Removal

Strip comments from supported languages (HTML, CSS, JavaScript, TypeScript, Vue, Svelte, Python, PHP, Ruby, C, C#, Java, Go, Rust, Swift, Kotlin, Dart, Shell, YAML):

repomix --remove-comments

Common Use Cases

Code Review Preparation
# Package feature branch for AI review
repomix --include "src/**/*.ts" --remove-comments -o review.md --style markdown
Security Audit
# Package third-party library
npx repomix --remote vendor/library --style xml -o audit.xml
Documentation Generation
# Package with docs and code
repomix --include "src/**,docs/**,*.md" --style markdown -o context.md
Bug Investigation
# Package specific modules
repomix --include "src/auth/**,src/api/**" -o debug-context.xml
Implementation Planning
# Full codebase context
repomix --remove-comments --copy

Command Line Reference

File Selection
# Include specific patterns
repomix --include "src/**/*.ts,*.md"

# Ignore additional patterns
repomix -i "tests/**,*.test.js"

# Disable .gitignore rules
repomix --no-gitignore
Output Options
# Output format
repomix --style markdown  # or xml, json, plain

# Output file path
repomix -o output.md

# Remove comments
repomix --remove-comments

# Copy to clipboard
repomix --copy
Configuration
# Use custom config file
repomix -c custom-config.json

# Initialize new config
repomix --init  # creates repomix.config.json

Token Management

Repomix automatically counts tokens for individual files, total repository, and per-format output.

Typical LLM context limits:

  • Claude Sonnet 4.5: ~200K tokens
  • GPT-4: ~128K tokens
  • GPT-3.5: ~16K tokens

Security Considerations

Repomix uses Secretlint to detect sensitive data (API keys, passwords, credentials, private keys, AWS secrets).

Best practices:

  1. Always review output before sharing
  2. Use .repomixignore for sensitive files
  3. Enable security checks for unknown codebases
  4. Avoid packaging .env files
  5. Check for hardcoded credentials

Disable security checks if needed:

repomix --no-security-check

Implementation Workflow

When user requests repository packaging:

  1. Assess Requirements

    • Identify target repository (local/remote)
    • Determine output format needed
    • Check for sensitive data concerns

  2. Configure Filters

    • Set include patterns for relevant files
    • Add ignore patterns for unnecessary files
    • Enable/disable comment removal

  3. Execute Packaging

    • Run repomix with appropriate options
    • Monitor token counts
    • Verify security checks

  4. Validate Output

    • Review generated file
    • Confirm no sensitive data
    • Check token limits for target LLM

  5. Deliver Context

    • Provide packaged file to user
    • Include token count summary
    • Note any warnings or issues

Reference Documentation

For detailed information, see:

  • Configuration Reference - Config files, include/exclude patterns, output formats, advanced options
  • Usage Patterns - AI analysis workflows, security audit preparation, documentation generation, library evaluation

Additional Resources

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