repomix

🥇Gold

Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

23,3571,0050Updated Today

Intermediate30min to implementautomation

Saves ~75 min per use

Quick InstallView Source

git clone https://github.com/yamadashy/repomix.git

Works with:

Claude

Overview

About This Skill

https://repomix.com

How to Use

["1. Use Repomix to package your entire codebase into a single file. This typically involves running a command like 'repomix package --repo-path /path/to/your/repo --output repomix_file.txt'.","2. Open your preferred AI tool (e.g., Claude, ChatGPT, etc.) and upload the Repomix file when prompted.","3. Use the provided prompt template to ask specific questions about your codebase. Be as detailed as possible about what you want to analyze or improve.","4. Review the AI's output carefully. For complex issues, you may want to ask follow-up questions to get more specific recommendations.","5. Implement the suggested changes in your codebase. Consider creating a separate branch for major refactoring work to maintain stability in your main branch."]

Use Cases

Quickly package your entire codebase for AI analysis and suggestions.

Generate an AI-friendly file to assist in code refactoring tasks.

Use token counting to ensure your code fits within LLM context limits.

Easily exclude sensitive files from AI processing using .gitignore.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/yamadashy/repomix

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Please analyze the [REPO_NAME] codebase contained in this file. Identify the top 3 technical debt items that should be addressed first based on [CRITERIA]. For each item, provide a detailed explanation of the issue, its potential impact, and suggest specific refactoring steps.

Example Output

After analyzing the 'E-Commerce Platform' codebase, here are the top 3 technical debt items identified:

1. **Legacy Payment Processing Module**: This module uses outdated encryption standards (AES-128) which is no longer considered secure. The impact is significant as it handles sensitive customer payment data. Recommended refactoring steps include:
   - Migrate to AES-256 encryption
   - Implement PCI-DSS compliant tokenization
   - Add HSTS headers for all payment-related endpoints
   - Schedule regular security audits

2. **Monolithic Database Schema**: The current schema has grown organically over 5 years and now contains over 300 tables with complex interdependencies. This makes maintenance and scaling increasingly difficult. Recommended refactoring steps include:
   - Implement database partitioning for high-traffic tables
   - Create a data access layer to abstract schema complexity
   - Begin planning for microservices architecture migration
   - Document all table relationships and dependencies

3. **Inconsistent Error Handling**: The application exhibits inconsistent error handling patterns across different modules, leading to poor user experience and potential security vulnerabilities. Recommended refactoring steps include:
   - Implement a centralized error handling framework
   - Standardize error codes and messages
   - Add comprehensive error logging with correlation IDs
   - Create user-friendly error pages for client-side errors