github-code-review

Automate multi-agent code reviews for GitHub pull requests with swarm coordination.

1|Updated Jan 6, 2026
One-click install
npx skills add https://github.com/Kling0012/MCRPG --skill github-code-review-kling0012
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/Kling0012/MCRPG/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/Kling0012/MCRPG --skill github-code-review-kling0012

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates AI-powered, multi-agent code reviews for GitHub pull requests, reducing manual review time and increasing consistency across teams.

Core Features & Use Cases

  • Multi-Agent Review System: Deploy specialized AI agents to review changes across security, performance, architecture, style, and accessibility.
  • PR-Based Swarm Management: Coordinate agents across pull requests with swarm patterns, depth controls, and automated comments.
  • Automated Workflows & Quality Gates: Enforce checks and post results, label issues, and gate merges when issues exist.
  • Contextual Comment Generation & Remediation: Generate actionable inline comments and suggested fixes.
  • Cross-PR & History-Aware Reviews: Learn from past reviews and compare related PRs for consistency.

Quick Start

  • Simple Review gh pr view 123 --json files,diff | npx ruv-swarm github review-init --pr 123 gh pr comment 123 --body "🔍 Multi-agent code review initiated"
  • Complete Review Workflow PR_DATA=$(gh pr view 123 --json files,additions,deletions,title,body) PR_DIFF=$(gh pr diff 123) npx ruv-swarm github review-init
    --pr 123
    --pr-data "$PR_DATA"
    --diff "$PR_DIFF"
    --agents "security,performance,style,architecture,accessibility"
    --depth comprehensive

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 for GitHub pull requests?

Automate code reviews by deploying AI-powered agents to GitHub PRs using swarm coordination. This Skill initializes multi-agent review workflows that analyze security, performance, architecture, style, and accessibility in parallel, then post automated comments and quality gates directly to your PR.

Can I run parallel code reviews across multiple domains in a single PR?

Yes. This Skill spawns specialized agents that review the same PR concurrently across security, performance, architecture, style, and accessibility domains, reducing review time and ensuring consistent, comprehensive feedback without sequential bottlenecks.

How do I integrate AI code review automation with GitHub CLI workflows?

Integrate by piping GitHub CLI commands (gh pr view, gh pr diff) into the RUV Swarm review-init process, which coordinates agent execution, generates contextual inline comments, and updates PR status. No additional CI/CD configuration required for basic setup.

What's the best way to enforce code quality gates on pull requests automatically?

Deploy this Skill to label issues, post findings as PR comments, and block merges when quality thresholds are unmet. Agents learn from past reviews and compare related PRs, enabling consistent enforcement across your repository.

Do I need to configure agents separately, or does this handle agent spawning automatically?

Agent spawning is automatic within the Skill. Specify desired review domains (security, performance, etc.) and depth level, and the swarm coordinator initializes, deploys, and manages agents across your PR without manual per-agent setup.

Can AI code reviews work with projects of any size?

Yes. This Skill scales from small to large projects by adjusting swarm depth controls and agent count. Multi-agent coordination handles parallel reviews efficiently regardless of repository size or PR complexity.