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frankxai
frankxaiCOMMUNITY
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github-code-review

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

7|1|Updated Jan 8, 2026
Search Tags:#automation#code review#performance#security#github#ai agents#pr management
One-click install
npx skills add https://github.com/frankxai/agentic-creator-os --skill github-code-review-frankxai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/frankxai/agentic-creator-os/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/frankxai/agentic-creator-os --skill github-code-review-frankxai

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 and enhances the code review process on GitHub by leveraging an AI-powered swarm of specialized agents to identify issues across security, performance, architecture, and style.

Core Features & Use Cases

  • Multi-Agent Review: Deploys specialized AI agents (security, performance, style, etc.) to conduct parallel and comprehensive code reviews.
  • Automated PR Management: Integrates with GitHub CLI for seamless PR analysis, comment generation, and status updates.
  • Use Case: When a pull request is opened, this Skill automatically initiates a swarm of agents to review the code for security vulnerabilities, performance bottlenecks, architectural soundness, and adherence to coding standards, posting detailed feedback directly to the PR.

Quick Start

Initiate a comprehensive multi-agent code review for pull request number 123.

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 on GitHub pull requests?▼

Automated GitHub code review deploys specialized AI agents to analyze pull requests for security, performance, and style issues. This Skill orchestrates a multi-agent swarm to generate intelligent comments and enforce quality gates directly on GitHub PRs.

How does multi-agent AI code review work for PR management?▼

Multi-agent AI code review works by deploying a swarm of specialized agents that analyze code in parallel. Each agent targets specific dimensions like security vulnerabilities or performance bottlenecks, posting detailed feedback directly to the GitHub pull request.

Do I need GitHub CLI and claude-flow to run automated PR analysis?▼

Yes, you need GitHub CLI, ruv-swarm, and claude-flow installed to run automated PR analysis. These dependencies provide the execution environment and GitHub integration required for the AI agents to access pull requests and post review comments.

Can I use AI agents to check security and performance in GitHub PRs?▼

AI agents can check security and performance in GitHub PRs by deploying specialized reviewers for each domain. The swarm architecture assigns dedicated agents to scan for security vulnerabilities and performance bottlenecks independently before consolidating feedback.

What is the best way to enforce quality gates on GitHub pull requests automatically?▼

The best way to enforce quality gates automatically is orchestrating an AI-driven swarm that reviews code against security, performance, architecture, and style standards. This Skill integrates with GitHub CLI to post comments and update PR statuses based on review outcomes.

Why use a swarm of AI agents instead of a single agent for code review?▼

A swarm of AI agents conducts parallel and comprehensive code reviews by assigning specialized agents to distinct categories like security, performance, and architecture. This multi-agent approach provides deeper analysis than a single agent reviewing all dimensions sequentially.

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