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EarthmanWeb
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github-code-review

Orchestrate multi-agent AI code reviews on GitHub pull requests via CLI.

2|Updated Jan 25, 2026
Search Tags:#automation#performance#security#github#ci-cd#code-review
One-click install
npx skills add https://github.com/EarthmanWeb/claude-flow-plugin --skill github-code-review-earthmanweb
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/EarthmanWeb/claude-flow-plugin/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/EarthmanWeb/claude-flow-plugin --skill github-code-review-earthmanweb

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates and enhances the code review process on GitHub, ensuring higher code quality, security, and performance through AI-driven swarm coordination.

Core Features & Use Cases

  • Multi-Agent Review: Deploys specialized AI agents (security, performance, style, etc.) to conduct comprehensive code reviews in parallel.
  • Automated PR Management: Integrates with GitHub CLI for seamless review initiation, comment posting, and status updates.
  • Use Case: Automatically review a pull request for security vulnerabilities, performance bottlenecks, and style inconsistencies before it's merged, significantly reducing manual effort and improving code reliability.

Quick Start

Initiate a comprehensive code review for pull request number 123 using the GitHub CLI and the review skill.

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 code review for GitHub pull requests?▼

Automating code review for GitHub pull requests is achieved by deploying multi-agent AI systems to analyze code for security, performance, and style issues. This integrates directly with the GitHub CLI to automate comments and status updates.

How does multi-agent AI code review work?▼

Multi-agent AI code review works by orchestrating specialized agents in parallel to analyze code for security, performance, and style issues. It coordinates these agents to identify architectural issues and post consolidated feedback directly on GitHub pull requests.

Do I need ruv-swarm and claude-flow to run automated GitHub code reviews?▼

Yes, ruv-swarm and claude-flow are required dependencies to run automated GitHub code reviews. They provide the underlying swarm coordination and multi-agent orchestration necessary to deploy specialized agents and analyze pull requests.

Can I use the GitHub CLI to initiate an AI code review?▼

Yes, you can use the GitHub CLI to initiate an AI code review. The system integrates directly with the GitHub CLI to enable seamless review initiation, automated comment posting, and pull request status updates.

What is the best way to check pull requests for security vulnerabilities and performance bottlenecks?▼

The best way to check pull requests for security vulnerabilities and performance bottlenecks is deploying specialized AI agents in parallel. This multi-agent approach comprehensively analyzes code before merging, reducing manual effort and improving reliability.

What are the limitations of using multi-agent AI for code review?▼

Limitations of using multi-agent AI for code review include strict dependencies on ruv-swarm, claude-flow, and the GitHub CLI. Without these specific execution environments and integrations, the automated swarm coordination and pull request management cannot function.

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