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bjorkgard
bjorkgardCOMMUNITY
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GitHub

github-code-review

Orchestrate multi-agent AI code reviews on GitHub Pull Requests.

Updated Mar 5, 2026
Search Tags:#automation#ci/cd#code review#performance#security#github#ai agents
One-click install
npx skills add https://github.com/bjorkgard/convention-hosts --skill github-code-review-bjorkgard
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/bjorkgard/convention-hosts/tree/main/.agents/skills/github-code-review
Command: npx skills add https://github.com/bjorkgard/convention-hosts --skill github-code-review-bjorkgard

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates and enhances the code review process by deploying specialized AI agents to identify issues across security, performance, style, and architecture.

Core Features & Use Cases

  • Multi-Agent Review: Leverages specialized agents (security, performance, style, etc.) for comprehensive analysis.
  • Automated Workflows: Integrates with CI/CD pipelines and GitHub PRs for seamless execution.
  • Use Case: When a developer submits a Pull Request, this Skill automatically triggers a swarm of AI agents to review the code for potential security vulnerabilities, performance bottlenecks, and style guide violations, providing detailed feedback and suggestions.

Quick Start

Initiate a comprehensive multi-agent code review for Pull Request 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?▼

Automated AI code review deploys specialized agents to analyze GitHub Pull Requests for security vulnerabilities, performance bottlenecks, and style guide violations. It integrates with GitHub CLI to manage PRs and enforce quality gates automatically upon submission.

What does multi-agent AI code review check for?▼

Multi-agent AI code review deploys specialized agents to check GitHub Pull Requests for security vulnerabilities, performance bottlenecks, architectural flaws, and style guide violations. Each agent targets a specific domain to deliver comprehensive analysis and detailed feedback.

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

Yes, you can integrate AI code review into CI/CD pipelines. This Skill uses GitHub CLI and RUV Swarm to automate PR management and enforce quality gates seamlessly within your existing automated workflows when developers submit code.

Does automated PR review work with GitHub CLI?▼

Yes, automated PR review works with GitHub CLI. The Skill integrates directly with GitHub CLI and RUV Swarm to orchestrate AI-driven code reviews, manage pull requests, and enforce quality gates automatically without manual intervention.

How do I enforce quality gates on GitHub Pull Requests?▼

You can enforce quality gates on GitHub Pull Requests by deploying an AI-driven code review swarm to analyze submitted code. The orchestrated agents assess security, performance, and style, managing PR status based on your defined quality criteria.

When should I use a multi-agent swarm for code review?▼

Use a multi-agent swarm for code review when you need comprehensive analysis across multiple domains like security, performance, architecture, and style. It is ideal for automated CI/CD workflows requiring specialized, parallel code assessment on GitHub Pull Requests.

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