skills.rest
ExpertVagabond
ExpertVagabondCOMMUNITY
Explore all skills by this author →
Website𝕏@expertvagabondGitHub

github-code-review

Orchestrate specialized AI agents to review GitHub pull requests for security, performance, and style.

Updated Mar 2, 2026
Search Tags:#automation#code review#performance#security#github#ai agents#pr management
One-click install
npx skills add https://github.com/ExpertVagabond/ruvector --skill github-code-review-expertvagabond
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/ExpertVagabond/ruvector/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/ExpertVagabond/ruvector --skill github-code-review-expertvagabond

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates and enhances the code review process for GitHub pull requests by leveraging a swarm of specialized AI agents to ensure code quality, security, and performance.

Core Features & Use Cases

  • Multi-Agent Review: Deploys specialized agents (security, performance, style, etc.) to conduct comprehensive reviews in parallel.
  • Automated PR Management: Integrates with GitHub CLI for initializing reviews, posting comments, and managing PR status.
  • Use Case: When a developer opens a pull request, this Skill automatically triggers a swarm of agents to analyze the code for security vulnerabilities, performance bottlenecks, and style inconsistencies, providing detailed feedback and suggestions directly in the PR.

Quick Start

Initiate a comprehensive code review for pull request number 123 using specialized agents for security, performance, and style.

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 pull request code reviews for security and performance?▼

Automate GitHub pull request code reviews by deploying a swarm of specialized AI agents that analyze code for security vulnerabilities and performance bottlenecks. This skill orchestrates parallel reviews and posts feedback directly in the PR.

What is an AI agent swarm for code review?▼

An AI agent swarm for code review is a multi-agent architecture where specialized agents concurrently analyze security, performance, architectural adherence, and style compliance in GitHub pull requests.

Does this code review automation require the GitHub CLI?▼

Yes, the code review automation requires the GitHub CLI to initialize reviews, post comments, and manage pull request status seamlessly during the AI agent analysis workflow.

Can I create custom AI agents for tailored pull request management workflows?▼

Yes, you can create custom AI agents for tailored pull request management workflows. The skill supports custom agent creation to extend reviews beyond default security and performance checks.

What's the best way to check architectural adherence in GitHub PRs?▼

Check architectural adherence in GitHub PRs by running an automated AI agent swarm that evaluates code changes against defined architectural standards and posts detailed suggestions directly to the pull request.

Related Skills

Explore More Software Engineering Skills→
afel6afel6

github-auth

Configure GitHub authentication for git or gh CLI access.

Community
Intermediate
olimpus-softolimpus-soft

pr-review

Automate GitHub pull request reviews with checks, comments, and fixes.

Official
Advanced
prof-danielcprof-danielc

speckit.checker

Run static analysis tools and aggregate results into a prioritized issue report.

Community
Advanced
Human-Frontier-Labs-IncHuman-Frontier-Labs-Inc

github-code-review

Coordinate GitHub CLI and ruv-swarm agents to review pull requests.

Official
Advanced