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Progery222
Progery222COMMUNITY
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GitHub

github-code-review

Coordinate multi-agent reviews on GitHub pull requests for security, performance, style, and architecture.

Updated Mar 30, 2026
Search Tags:#automation#code review#pull request#github#ai#swarm
One-click install
npx skills add https://github.com/Progery222/atome-studio --skill github-code-review-progery222
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/Progery222/atome-studio/tree/main/.agents/skills/github-code-review
Command: npx skills add https://github.com/Progery222/atome-studio --skill github-code-review-progery222

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enhances the efficiency and thoroughness of GitHub code reviews by deploying multiple AI agents to analyze code, security, performance, style, and architecture aspects, reducing manual effort and oversight.

Core Features & Use Cases

  • Multi-Agent Code Review: Deploy specialized agents for comprehensive analysis across various domains.
  • Automated PR Management: Initiate reviews, comment, and request changes automatically based on findings.
  • Use Case: When a developer submits a pull request, use this Skill to perform an immediate, multi-faceted review, identify potential issues, and suggest improvements across security, performance, style, and architecture.

Quick Start

Initiate a comprehensive review of a pull request by deploying multiple review agents, then automatically comment and label the pull request accordingly.

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 for code quality?▼

Automate GitHub pull request reviews by deploying multiple AI agents to analyze security, performance, style, and architecture. This coordinates multi-faceted assessments to provide rapid, detailed analysis and reduce manual oversight.

What is multi-agent AI code review and how does it work?▼

Multi-agent AI code review deploys specialized agents to perform targeted assessments across different domains like security and architecture. These agents analyze pull requests simultaneously to deliver comprehensive, rapid analysis.

Can I automatically request changes on a GitHub pull request based on AI findings?▼

Yes, automated PR management initiates reviews, comments, and requests changes automatically based on AI findings. The Skill labels the pull request accordingly to indicate identified issues and suggested improvements.

Does automated code review work for architecture and security assessments?▼

Automated code review works for architecture and security assessments by deploying specialized agents. It performs comprehensive analysis across security, performance, style, and architecture domains to ensure thorough code quality assurance.

What is the best way to scale thorough code reviews across multiple pull requests?▼

The best way to scale thorough code reviews is using AI-driven team coordination to automate multi-agent analysis. This reduces manual effort while maintaining detailed security, performance, style, and architecture assessments for every pull request.

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