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aquariuscook
aquariuscookCOMMUNITY
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GitHub

github-code-review

Orchestrate AI agents to review GitHub pull requests for code issues.

1|Updated Dec 29, 2025
Search Tags:#automation#ci/cd#code review#pull request#github#ai agents
One-click install
npx skills add https://github.com/aquariuscook/Agent_Modus_Map --skill github-code-review-aquariuscook
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/aquariuscook/Agent_Modus_Map/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/aquariuscook/Agent_Modus_Map --skill github-code-review-aquariuscook

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates and enhances the code review process by leveraging a swarm of specialized AI agents to identify issues, enforce standards, and improve code quality.

Core Features & Use Cases

  • Multi-Agent Review: Deploy specialized agents (security, performance, style, etc.) for comprehensive analysis.
  • Automated Workflows: Integrate seamlessly with CI/CD pipelines for automatic reviews on pull request events.
  • Use Case: When a pull request is opened, this Skill automatically triggers 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 code review for pull request number 123 using multiple specialized agents.

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?▼

You can automate code reviews on GitHub pull requests by orchestrating a swarm of AI agents to analyze code for security, performance, style, and architectural issues, then post actionable feedback directly to the PR.

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

Multi-agent AI code review deploys specialized agents for security, performance, and style to perform comprehensive analysis on pull requests, integrating with GitHub CLI to provide actionable feedback and enforce quality gates.

Can I integrate AI code review into my existing CI/CD pipelines?▼

Yes, you can integrate AI code review into existing CI/CD pipelines to automatically trigger specialized agents on pull request events, enforcing quality gates and posting detailed feedback directly to GitHub.

How do I enforce quality gates automatically when a pull request is opened?▼

Enforce quality gates automatically by configuring the Skill to trigger a swarm of AI agents on pull request events, analyzing code for vulnerabilities and style inconsistencies to block or approve changes.

Does automated AI code review work with the GitHub CLI?▼

Yes, automated AI code review integrates directly with the GitHub CLI and CI/CD pipelines to orchestrate specialized agents, analyze code, and post actionable feedback seamlessly within your workflow.

What are the limitations of using AI agents for pull request code review?▼

AI agents for pull request code review focus on security, performance, style, and architecture, but may require human oversight for complex business logic, relying on GitHub CLI and CI/CD integration for quality gate enforcement.

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