pr-review

Analyze pull requests for quality, security, performance, and documentation issues.

848|198|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/poshan0126/dotclaude --skill pr-review-poshan0126
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pr-review
Source: https://github.com/poshan0126/dotclaude/tree/main/plugins/setupdotclaude/template/skills/pr-review
Command: npx skills add https://github.com/poshan0126/dotclaude --skill pr-review-poshan0126

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill simplifies and accelerates the review process of code changes by delegating analysis to specialized agents simultaneously, enabling faster and more comprehensive code quality assessments.

Core Features & Use Cases

  • Parallel Delegation: Dispatches multiple expert agents to evaluate code correctness, security risks, performance bottlenecks, and documentation quality at the same time.
  • PR Context Awareness: Utilizes PR metadata, diffs, and CI status to provide targeted insights.
  • Use Case: When reviewing a pull request with numerous changes, use this Skill to obtain a unified, detailed report covering safety, performance, and documentation issues, reducing review time and catching issues early.

Quick Start

Review a pull request by running the skill with the PR number or default to the current branch.

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 for code quality and security?

Automating pull request reviews is achieved by dispatching parallel specialized agents to analyze code correctness, security risks, performance bottlenecks, and documentation quality simultaneously. This provides comprehensive feedback utilizing PR metadata, diffs, and CI status.

How does parallel agent analysis work for code review?

Parallel agent analysis works by delegating pull request evaluation to multiple expert agents simultaneously. These agents concurrently assess code correctness, security risks, performance bottlenecks, and documentation issues, generating a unified and detailed report.

Can I analyze specific code files instead of an entire pull request?

Yes, you can analyze specific code files. The skill evaluates code quality, security, performance, and documentation issues by accepting either a pull request number, defaulting to the current branch, or targeting specific files for detailed feedback.

What is the best way to catch performance bottlenecks and security risks in a pull request?

The best way to catch performance and security issues is using parallel agent analysis. Specialized agents concurrently evaluate pull request diffs and CI status to provide targeted insights on bottlenecks and security risks, reducing review time.

Does this code review automation work with my project's CI status and PR metadata?

Yes, the code review automation utilizes PR context awareness. It directly integrates pull request metadata, diffs, and CI status to provide targeted insights and comprehensive feedback on safety, performance, and documentation.

Why should I use parallel agents instead of manually reviewing a pull request with numerous changes?

Using parallel agents reduces review time and catches issues early when handling numerous pull request changes. It replaces manual review by simultaneously evaluating correctness, security, performance, and documentation to generate a unified detailed report.