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nickm538
nickm538COMMUNITY
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GitHub

github-code-review

Orchestrate multi-agent swarms to analyze GitHub pull requests and post automated feedback.

Updated Mar 7, 2026
Search Tags:#automation#github#ai#swarm#code-review#quality-gates#pr-management
One-click install
npx skills add https://github.com/nickm538/wifi-sensing-advanced --skill github-code-review-nickm538
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/nickm538/wifi-sensing-advanced/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/nickm538/wifi-sensing-advanced --skill github-code-review-nickm538

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-powered code reviews can be slow and inconsistent when done manually; this skill automates and coordinates multiple agents to produce thorough, timely feedback on pull requests.

Core Features & Use Cases

  • Multi-agent review system coordinating specialized agents for security, performance, architecture, style, and accessibility checks.
  • Automated PR management: comments, approvals, and quality gates based on configurable rules.
  • Context-aware reviews: leverages PR context, diffs, and historical data to improve accuracy.

Quick Start

Provide a pull request number to initialize a multi-agent code review swarm and generate automated feedback.

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?▼

Automate GitHub code reviews by orchestrating an AI-powered swarm to analyze PR diffs and generate actionable feedback. You provide a pull request number to initialize the multi-agent review system for automated comments and quality gate enforcement.

What is multi-agent swarm orchestration for code review?▼

Multi-agent swarm orchestration for code review coordinates specialized AI agents to analyze pull request changes. It deploys distinct agents for security, performance, architecture, style, and accessibility checks to generate comprehensive automated feedback.

Can I use automated PR management to enforce quality gates in GitHub?▼

Automated PR management enforces quality gates in GitHub by applying configurable rules to pull requests. The system orchestrates AI agents to analyze changes, post automated comments, and manage approvals based on your defined quality criteria.

How do AI agents handle security and performance checks on a PR diff?▼

AI agents handle security and performance checks by leveraging PR context and diff data to evaluate code changes. The swarm orchestrates specialized agents to analyze architectural considerations and historical data, generating actionable feedback.

Does automated code review work for large pull requests across software projects?▼

Automated code review works for pull requests of varied sizes across software projects. The multi-agent swarm system analyzes changes and generates context-aware feedback regardless of the diff scale, ensuring thorough PR management.

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