github-code-review

Automate GitHub code reviews with specialized AI agents for security, performance, and style.

Updated Feb 4, 2026
One-click install
npx skills add https://github.com/Marcus-Mok-GH/Chess.com-app --skill github-code-review-marcus-mok-gh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/Marcus-Mok-GH/Chess.com-app/tree/main/.migration-backup/.claude/skills/github-code-review
Command: npx skills add https://github.com/Marcus-Mok-GH/Chess.com-app --skill github-code-review-marcus-mok-gh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires github-cli, ruv-swarm, claude-flow, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of code review on GitHub, leveraging AI to coordinate a swarm of specialized agents for comprehensive analysis.

Core Features & Use Cases

  • Multi-Agent Code Review: Deploy specialized agents for security, performance, style, architecture, and accessibility reviews.
  • Automated PR Management: Streamline the pull request workflow with automated status updates and quality gate enforcement.
  • Use Case: For a software development team, this Skill can automatically perform security, performance, and style reviews on every pull request, significantly reducing the time spent on manual code reviews.

Quick Start

Initialize a review swarm for a pull request using the GitHub CLI and the ruv-swarm tool.

Frequently Asked Questions about github-code-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate GitHub code reviews using AI agents?

You can automate GitHub code reviews by deploying a swarm of specialized AI agents that analyze pull requests for security, performance, style, architecture, and accessibility issues.

Do I need the GitHub CLI to manage pull requests with an AI swarm?

Yes, you need the GitHub CLI for PR management, along with ruv-swarm and claude-flow to coordinate the specialized AI agents during the automated code review process.

How does multi-agent swarm coordination work for pull request management?

Swarm coordination deploys specialized AI agents to simultaneously analyze different aspects of a pull request, enforcing quality gates and sending automated status updates via the GitHub CLI.

Can I enforce automated quality gates on GitHub pull requests?

Yes, this approach streamlines the pull request workflow by enforcing automated quality gates and providing status updates based on the comprehensive analysis from the AI agent swarm.

What's the best way to review code architecture and security on GitHub?

Using a multi-agent AI swarm allows you to perform specialized architecture and security reviews on GitHub pull requests automatically, significantly reducing the time spent on manual checks.

Are there limitations when using ruv-swarm and claude-flow for GitHub PR automation?

This automated code review process depends strictly on having ruv-swarm, claude-flow, and the GitHub CLI configured, meaning it cannot run without these specific coordination and management tools.