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GitHub

github-code-review

Coordinate specialized AI agents to review GitHub pull requests.

2|Updated May 8, 2026
Search Tags:#automation#github#ai#swarm#code-review#pull-request
One-click install
npx skills add https://github.com/xotong/claude-marketplace --skill github-code-review-xotong
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/xotong/claude-marketplace/tree/main/plugins/ruflo/skills/github-code-review
Command: npx skills add https://github.com/xotong/claude-marketplace --skill github-code-review-xotong

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates comprehensive, multi-agent GitHub code reviews by coordinating specialized AI agents to analyze changes across a PR, reducing manual effort and improving review quality.

Core Features & Use Cases

  • Multi-Agent Review System: Deploy specialized agents for security, performance, architecture, style, and accessibility review.
  • PR-Based Swarm Management: Orchestrates agent coordination based on PR context to scale reviews.
  • Automated Workflows & Feedback: Generates inline comments, summarizes findings, and triggers follow-up actions automatically.
  • Use Case: A team submits a large PR; the swarm runs in parallel, surfaces issues, and posts recommendations without manual triage.

Quick Start

Initialize a multi-agent GitHub PR review by supplying the PR number and the agents you want to deploy.

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 code reviews with AI?▼

Automate GitHub pull request code reviews by deploying an AI swarm that coordinates specialized agents to analyze PR files, diffs, and metadata across security, performance, and architecture dimensions.

What is an AI multi-agent code review swarm for GitHub?▼

An AI multi-agent code review swarm is a system that orchestrates specialized agents to analyze GitHub PR changes in parallel, generating inline comments and actionable feedback without manual triage.

How do I run specialized security and performance agents on a GitHub PR?▼

Run specialized security and performance agents on a GitHub PR by initializing a multi-agent swarm with the PR number and selecting the desired agents to review the code changes.

Do I need GitHub CLI to run automated AI PR reviews?▼

Yes, you need GitHub CLI integration along with swarm tooling to spawn agents and generate actionable recommendations across pull request files.

What's the best way to review large pull requests without manual triage?▼

Review large pull requests without manual triage by running a multi-agent swarm in parallel, which surfaces issues across architecture, style, and accessibility, then posts recommendations automatically.

Can I generate inline comments and automated feedback on GitHub PRs?▼

Generate inline comments and automated feedback on GitHub PRs by deploying an AI-powered swarm that summarizes findings and triggers follow-up actions based on the PR context.

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