skills.rest
FuncSmile
FuncSmileCOMMUNITY
Explore all skills by this author →
GitHub

github-code-review

Coordinate AI swarm agents to automate GitHub PR reviews across multiple quality dimensions.

Updated May 11, 2026
Search Tags:#automation#github#code-review#quality-gates#ai-swarm#pr-management#comment-generation
One-click install
npx skills add https://github.com/FuncSmile/Saji_apps --skill github-code-review-funcsmile
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-code-review
Source: https://github.com/FuncSmile/Saji_apps/tree/main/.claude/skills/github-code-review
Command: npx skills add https://github.com/FuncSmile/Saji_apps --skill github-code-review-funcsmile

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

GitHub PR reviews are often tedious and error-prone; this Skill coordinates AI-backed swarm agents to perform speedier, more thorough code analysis.

Core Features & Use Cases

  • Multi-agent review system that runs parallel checks across security, performance, architecture, style, and accessibility.
  • Automated PR management with consistent quality gates and actionable comments.
  • Seamless PR-based workflows that spawn agents from PR context and post results back to the PR.

Quick Start

Trigger a swarm-based PR review for a GitHub PR by initializing the review swarm and letting agents assess the PR, then post results back to the PR.

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 PR reviews using AI agents?▼

Automate GitHub PR reviews by initializing an AI swarm to run parallel checks across security, performance, architecture, style, and accessibility, then automatically post actionable comments back to the PR.

What does multi-agent AI code review do for pull request management?▼

Multi-agent AI code review coordinates specialized agents to perform parallel analysis on PRs, enforcing consistent quality gates and generating actionable comments for comprehensive pull request management.

How do I set up a swarm-based PR review for my GitHub repository?▼

Set up swarm-based PR review by triggering a swarm initialization command from your PR context, which spawns specialized agents to assess the code and post results directly back to the GitHub PR.

Does automated PR review work with GitHub CLI and RUV Swarm?▼

Automated PR review defines direct integration with GitHub CLI, RUV Swarm, and Claude Flow, coordinating agents via swarm-init, swarm-spawn, and review commands to analyze and manage PRs.

Why use AI swarm agents instead of standard code review tools?▼

AI swarm agents run parallel checks across multiple domains including security, performance, and accessibility, providing thorough code analysis faster and reducing the error-prone nature of manual PR reviews.

What limitations exist when using AI agents for pull request management?▼

AI agents for pull request management require defined integration with GitHub CLI, RUV Swarm, and Claude Flow, meaning your environment must support these specific tools to execute swarm-init and review commands.

Related Skills

Explore More Software Engineering Skills→
Kling0012Kling0012
1

github-code-review

Automate multi-agent code reviews for GitHub pull requests with swarm coordination.

Community
Advanced
gsarmaonlinegsarmaonline

review-comments

Analyze pull request review comments and resolve failing GitHub Actions checks.

Community
Advanced
TymorIbrahimTymorIbrahim

springboot-verification

Automates build, static analysis, tests, security scan, and code review for Spring Boot projects.

Community
Advanced
mbadozmbadoz
2

springboot-verification

Automate end-to-end verification of Spring Boot projects across Maven or Gradle builds.

Community
Advanced