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felipeganame
felipeganameCOMMUNITY
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GitHub

github-code-review

Automate GitHub pull request reviews with multi-agent swarm coordination.

2|Updated Apr 30, 2026
Search Tags:#code review#github#ai#swarm coordination#review automation#github pr
One-click install
npx skills add https://github.com/felipeganame/ConsorFix --skill github-code-review-felipeganame
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/felipeganame/ConsorFix/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/felipeganame/ConsorFix --skill github-code-review-felipeganame

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ruv-swarm, and includes scripts (resource) components.

What problem does it solve?

This Skill automates and optimizes the code review process on GitHub by leveraging AI-powered swarm coordination, reducing the time and effort spent on manual code inspection.

Core Features & Use Cases

  • Multi-Agent Review System: Deploy specialized review agents for comprehensive, intelligent code reviews.
  • Specialized Review Agents: Security, performance, style, architecture, and accessibility reviews.
  • PR-Based Swarm Management: Automated swarm coordination based on pull request context.
  • Automated Workflows: CI/CD integration, webhook handlers, and PR comment commands.
  • Quality Gates & Checks: Status checks, quality gate thresholds, and review metrics tracking.
  • Advanced Features: Context-aware reviews, learning from history, cross-PR analysis, and custom review agents.
  • Integration & Automation: CI/CD pipeline integration, automated fixes, and progress updates.
  • Monitoring & Analytics: Review dashboards, reports, and GitHub Insights export.
  • Security Considerations: Best practices and security checklist.
  • Best Practices: Review configuration, comment quality, performance optimization, and PR templates.
  • Integration with Claude Code: Workflow patterns and complete PR management examples.
  • Troubleshooting: Common issues and solutions.
  • Additional Resources: Related Skills, Documentation, Support, and License.

Quick Start

To initiate a multi-agent code review for a GitHub pull request, run the following command:

# Initialize review swarm for PR
gh pr view 123 --json files,diff | npx ruv-swarm github review-init --pr 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 GitHub code reviews for pull requests?▼

AI-powered swarm coordination automates GitHub code reviews by deploying specialized agents for security, performance, style, and architecture checks, reducing manual inspection effort on pull requests.

How does AI swarm coordination work for PR reviews?▼

Swarm coordination works by deploying multiple specialized review agents that analyze pull request context simultaneously, covering security, performance, style, architecture, and accessibility to provide comprehensive code review.

Do I need ruv-swarm to run automated GitHub PR reviews?▼

Yes, ruv-swarm is required to manage review agents and orchestrate automated code review workflows on GitHub pull requests.

Can I integrate automated code review into CI/CD pipelines?▼

Yes, automated code review integrates with CI/CD pipelines, webhook handlers, and PR comment commands to trigger status checks and quality gates during software engineering workflows.

What types of code review checks can AI agents perform on GitHub?▼

AI agents perform specialized checks including security vulnerability scanning, performance analysis, code style enforcement, architecture review, and accessibility compliance on GitHub pull requests.

How do I initialize a code review swarm for a specific GitHub PR?▼

Initialize a code review swarm by piping GitHub PR data through the ruv-swarm review-init command with the PR number, which coordinates specialized agents to analyze the pull request diff and files.

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