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MSamiulHasnat
MSamiulHasnatCOMMUNITY
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github-code-review

Automate GitHub pull request code reviews with a multi-agent swarm.

1|Updated Mar 20, 2026
Search Tags:#automation#github#ai#agents#quality#swarm#code-review
One-click install
npx skills add https://github.com/MSamiulHasnat/ProjectRunningFolder_Programming --skill github-code-review-msamiulhasnat
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/MSamiulHasnat/ProjectRunningFolder_Programming/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/MSamiulHasnat/ProjectRunningFolder_Programming --skill github-code-review-msamiulhasnat

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Efficient GitHub code reviews are amplified by an AI-powered swarm that coordinates specialized agents to surface issues, suggest improvements, and accelerate PR feedback.

Core Features & Use Cases

  • Multi-Agent Review System: Deploy specialized agents for comprehensive code review across security, performance, architecture, style, and accessibility.
  • PR-Based Swarm Automation: Auto-spawn and manage agents based on PR context, labels, and size to deliver scalable analysis.
  • Automated Comments & Reports: Generate actionable inline comments and high-level summaries to streamline reviewer workflows.
  • CI/CD Integration: Integrates with GitHub workflows to trigger automated reviews on PR events.

Quick Start

Initialize a swarm review for a PR by running a single command with the PR number to spawn agents and begin automated code review.

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?▼

You can automate GitHub code reviews by deploying a multi-agent swarm that coordinates specialized agents to surface issues, vulnerabilities, and architectural concerns directly within your pull requests.

What is a multi-agent swarm for PR code review?▼

A multi-agent swarm for PR code review is a system that auto-spawns and manages specialized AI agents based on PR context, labels, and size to deliver scalable analysis across security, performance, and architecture.

How do I trigger automated code review on GitHub PR events?▼

You trigger automated code review on GitHub PR events by integrating the swarm orchestration directly into your GitHub workflows, allowing it to initialize and run comprehensive analysis automatically.

Can I configure specialized AI agents for different code review contexts?▼

Yes, you can configure specialized AI agents to focus on specific code review areas like security, performance, architecture, style, and accessibility, generating actionable inline comments and high-level summaries.

Does AI code review work with large pull requests?▼

AI code review works with large pull requests by dynamically spawning and managing agents based on the PR context, labels, and size to ensure scalable and comprehensive analysis.

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