RepoMaster

🥈Silver

RepoMaster is an open-source AI agent that automates tasks in GitHub repositories. It enables developers to solve coding tasks autonomously, reducing manual effort. It connects to GitHub workflows and integrates with Python-based tools.

515610Updated 2w ago

Intermediate30min to implementautomation

Saves ~480 min per use

Quick InstallView Source

git clone https://github.com/QuantaAlpha/RepoMaster.git

Works with:

Claude

Overview

About This Skill

USAGE.md

How to Use

[{"step":1,"action":"Identify the repository and task. Provide the GitHub repository URL (e.g., `https://github.com/acme-corp/identity-service`) and a clear task description (e.g., 'Refactor the authentication module to support token refresh and reduce database queries').","tip":"Use the full repository URL, not just the owner/repo name, to avoid ambiguity. Specify the target branch if not 'main' or 'master'."},{"step":2,"action":"Run RepoMaster with the prompt. Use a tool like `gh` CLI or a Python script to trigger RepoMaster. Example: `gh repo clone acme-corp/identity-service && cd identity-service && repo-master --task \"[TASK_DESCRIPTION]\" --branch feature/auth-refactor`.","tip":"Ensure RepoMaster has the necessary permissions (read/write access to the repository). Use `--dry-run` first to preview changes without committing."},{"step":3,"action":"Review the generated pull request. Check the diff for unexpected changes, test coverage, and documentation updates. Use GitHub's PR interface or a local diff tool (e.g., `git diff`).","tip":"Look for files modified outside the expected scope. RepoMaster may suggest unrelated changes if the task description is too broad."},{"step":4,"action":"Merge or iterate. If the PR is approved, merge it. Otherwise, provide feedback to RepoMaster (e.g., 'Revert changes to `src/utils/cache.py` and try again').","tip":"Use RepoMaster's iterative mode to refine the task based on feedback. Example: `repo-master --task \"Revert changes to cache.py and focus only on JWT token refresh\"`."},{"step":5,"action":"Monitor the deployment. After merging, use GitHub Actions or a monitoring tool (e.g., Sentry) to track errors or performance regressions.","tip":"Set up alerts for the repository to notify the team of any issues post-merge. RepoMaster can auto-generate monitoring scripts if configured."}]

Use Cases

Automatically find and configure web scraping tools to extract data from specified URLs.

Transform images using neural style transfer techniques by identifying and utilizing relevant repositories.

Generate structured reports from unstructured data by orchestrating multiple GitHub projects.

Assist in debugging code by recommending relevant repositories and tools based on error messages.

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/QuantaAlpha/RepoMaster

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

Act as RepoMaster, an autonomous AI agent for GitHub repositories. Analyze the repository at [REPO_URL] and perform the following task: [TASK_DESCRIPTION]. Use Python-based tools where applicable, and ensure all changes are committed as a new pull request with a descriptive title and summary. Include [BRANCH_NAME] as the target branch if specified.

Example Output

### Pull Request: Refactor User Authentication Module for Scalability

**Repository:** `acme-corp/identity-service` (main branch)

**Changes Made:**
1. **Authentication Refactor:**
   - Replaced hardcoded JWT secret with environment variables (`JWT_SECRET_KEY`).
   - Implemented token refresh logic with 5-minute expiry and automatic renewal.
   - Added rate-limiting middleware (100 requests/minute) to prevent brute-force attacks.
   - Updated `require_auth()` decorator to support role-based access (admin/user).

2. **Performance Improvements:**
   - Reduced database queries in `/login` endpoint by 40% using Redis caching for user sessions.
   - Added async/await support to `/profile` endpoint, cutting response time from 120ms to 35ms.

3. **Security Patches:**
   - Fixed SQL injection vulnerability in `/search` endpoint by parameterizing queries.
   - Added input validation for all API endpoints using Pydantic models.

**Files Modified:**
- `src/auth/jwt_utils.py` (New: Token refresh logic, environment variable handling)
- `src/models/user.py` (Updated: Pydantic schema for input validation)
- `src/routes/auth.py` (Refactored: Decorators, rate-limiting, async endpoints)
- `src/utils/cache.py` (New: Redis integration for session management)

**Testing:**
- All existing unit tests pass (127/127).
- Added 8 new tests for token refresh and rate-limiting.
- Manual testing confirmed no regression in functionality.

**Next Steps:**
- Review PR and approve for merge.
- Deploy to staging for integration testing.
- Monitor error logs for 48 hours post-deployment.

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*Generated by RepoMaster (v1.2.0) | Branch: `feature/auth-refactor`*