pr-review

Automate GitHub pull request reviews by synthesizing feedback from multiple AI models.

2|Updated Oct 30, 2025
One-click install
npx skills add https://github.com/zachmayer/skills --skill pr-review-zachmayer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pr-review
Source: https://github.com/zachmayer/skills/tree/main/.claude/skills/pr-review
Command: npx skills add https://github.com/zachmayer/skills --skill pr-review-zachmayer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gh.

What problem does it solve?

This skill addresses the bottleneck of manual code reviews by automating the initial assessment of pull requests using multiple AI models to ensure high-quality, secure, and well-designed code.

Core Features & Use Cases

  • Multi-Model Synthesis: Leverages parallel analysis from various models to provide a comprehensive review.
  • Context-Aware Review: Integrates PR metadata, diffs, and repository conventions to provide relevant feedback.
  • Use Case: Before merging a complex feature branch, use this skill to perform a multi-perspective review that flags potential security vulnerabilities and design flaws while ignoring style nits.

Quick Start

Use the pr-review skill to analyze the current pull request and post the synthesized feedback to GitHub.

Frequently Asked Questions about pr-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate pull request reviews on GitHub using multiple AI models?

Automated pull request reviews synthesize feedback from multiple AI models by analyzing GitHub code diffs and metadata, requiring GitHub CLI integration to execute parallel model assessments and post consolidated feedback before merging.

What is multi-model code review and how does it handle pull request context?

Multi-model code review integrates pull request metadata, diffs, and repository conventions to provide relevant feedback, leveraging parallel analysis from various models to flag security vulnerabilities and design flaws while ignoring style nits.

Do I need the GitHub CLI to run automated code reviews on pull requests?

Yes, you need the GitHub CLI installed and configured, as the automated code review relies on it to fetch pull request data and post synthesized multi-model feedback directly to the GitHub repository.

How to review code for security vulnerabilities and design flaws before merging a feature branch?

Reviewing code for security vulnerabilities involves executing a multi-perspective analysis on pull request diffs, synthesizing parallel AI model feedback to evaluate code quality, security, and design before merging complex feature branches.

Can I use this automated code review to ignore style nits in GitHub pull requests?

Yes, automated multi-model code review focuses on high-quality code evaluation by flagging potential security vulnerabilities and design flaws, deliberately ignoring minor style nits to streamline the pull request assessment process.

What are the limitations of using multi-model synthesis for pull request code reviews?

Multi-model synthesis for pull request reviews requires access to parallel model execution environments and GitHub CLI integration, meaning its application is limited to software engineering workflows supporting these dependencies.