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wrsmith108
wrsmith108COMMUNITY
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github-code-review

Orchestrate AI-driven code reviews on GitHub pull requests with specialized agents.

5|Updated Oct 23, 2025
Search Tags:#automation#code review#performance#security#github#ai agents#pr management
One-click install
npx skills add https://github.com/wrsmith108/vibe-to-docker --skill github-code-review-wrsmith108
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/wrsmith108/vibe-to-docker/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/wrsmith108/vibe-to-docker --skill github-code-review-wrsmith108

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 comprehensive code reviews on GitHub by deploying a swarm of specialized AI agents, ensuring higher code quality, security, and performance.

Core Features & Use Cases

  • Multi-Agent Review: Utilizes specialized agents (security, performance, style, etc.) for in-depth analysis.
  • Automated PR Management: Integrates with GitHub CLI for seamless review initiation, commenting, and status updates.
  • Use Case: When a pull request is opened, this Skill automatically assigns a swarm of agents to review the code for security vulnerabilities, performance bottlenecks, and style inconsistencies, 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 reviews on GitHub pull requests using AI agents?▼

Automated GitHub code reviews use a swarm of specialized AI agents to identify security vulnerabilities, performance bottlenecks, and style deviations. This multi-agent approach deploys specialized reviewers for in-depth analysis directly on your pull requests.

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

Multi-agent AI code review deploys a swarm of specialized agents, each focusing on specific areas like security, performance, or architectural flaws. This coordinated swarm analyzes pull requests simultaneously to provide comprehensive automated feedback.

Can I use GitHub CLI to manage AI-generated PR comments?▼

Yes, automated code review integrates directly with GitHub CLI for seamless PR management. It handles review initiation, comment generation, and status updates automatically on your pull requests.

How do I run a comprehensive code review for a specific pull request number?▼

You can initiate a comprehensive multi-agent code review by targeting a specific pull request number. The AI swarm then analyzes the code and posts detailed feedback directly to that pull request.

Do I need ruv-swarm and claude-flow to automate GitHub PR analysis?▼

Yes, orchestrating the AI-driven code review swarm requires dependencies like ruv-swarm and claude-flow alongside GitHub CLI. These tools coordinate the specialized agents for PR management and automated comment generation.

What is the best way to detect security vulnerabilities and performance bottlenecks in a PR?▼

Using an AI-powered code review swarm is an effective way to detect security vulnerabilities and performance bottlenecks. It assigns specialized agents to analyze code for architectural flaws and style deviations automatically.

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