github-code-review

Coordinate multi-agent code reviews for GitHub pull requests.

19|Updated Oct 21, 2025
One-click install
npx skills add https://github.com/justSteve/XState-Skill --skill github-code-review-juststeve
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/justSteve/XState-Skill/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/justSteve/XState-Skill --skill github-code-review-juststeve

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates and accelerates GitHub pull request reviews by coordinating AI-powered swarm agents to perform thorough, multi-domain analysis, reducing manual review effort and improving code quality.

Core Features & Use Cases

  • Multi-agent review system: deploy specialized agents to analyze security, performance, architecture, style, and accessibility in PRs.
  • Automated PR management: generate comments, enforce quality gates, and assist with merges.
  • Context-rich feedback: provide actionable insights and suggested fixes tailored to the codebase and project norms.

Quick Start

Initialize a swarm for a PR and let agents generate reviews and comments automatically.

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 pull request reviews with AI?

AI-powered swarm reviews automate GitHub pull request analysis by deploying specialized agents to check security, performance, and architecture in parallel, reducing manual review effort and improving code quality.

What are AI swarm agents for code review?

AI swarm agents are specialized reviewers deployed in parallel to analyze distinct domains like security, performance, architecture, style, and accessibility within a pull request, providing context-rich feedback tailored to the codebase.

Can I enforce quality gates and generate comments on GitHub PRs automatically?

Yes, automated PR management generates comments, enforces quality gates, and assists with merges by applying intelligent commenting and swarm orchestration directly to GitHub pull request workflows.

Do I need GitHub CLI to run multi-agent code reviews?

Yes, multi-agent code reviews depend on GitHub CLI, ruv-swarm, and claude-flow to perform swarm orchestration, automated PR management, and intelligent commenting across GitHub pull requests.

What is the best way to run parallel security and performance checks on a pull request?

The best way to run parallel checks is initializing an AI swarm to deploy specialized agents that analyze security and performance domains simultaneously, providing actionable insights and suggested fixes.

When should I not use AI swarm agents for GitHub PR management?

AI swarm agents for GitHub PR management are not suited for environments lacking GitHub CLI, ruv-swarm, and claude-flow dependencies, as the swarm orchestration and automated commenting rely on these tools to function.