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glincker
glinckerOFFICIAL
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pr-reviewer

Review pull requests for security, performance, test coverage, architecture, and style.

35|5|Updated Nov 13, 2025
Search Tags:#automation#devops#multi-agent#quality-assurance#code-review#pr-review
One-click install
npx skills add https://github.com/glincker/claude-code-marketplace --skill pr-reviewer-glincker
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pr-reviewer
Source: https://github.com/glincker/claude-code-marketplace/tree/main/skills/devops/pr-reviewer
Command: npx skills add https://github.com/glincker/claude-code-marketplace --skill pr-reviewer-glincker

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the comprehensive review of pull requests, identifying potential issues across security, performance, testing, architecture, and style, thereby improving code quality and reducing manual review time.

Core Features & Use Cases

  • Multi-Agent Analysis: Employs specialized AI agents for distinct review areas.
  • Actionable Feedback: Provides specific suggestions and code examples for fixes.
  • Use Case: Automatically review a pull request for a new feature, receiving a detailed report on security vulnerabilities, performance bottlenecks, test coverage gaps, architectural soundness, and code style adherence before merging.

Quick Start

Review the current pull request and post the findings as a comment.

Frequently Asked Questions about pr-reviewer

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

FAQPage Schema
How do I automate pull request review for security vulnerabilities and performance bottlenecks?▼

Automate pull request review using an AI assistant to scan code for security vulnerabilities and performance bottlenecks. It provides multi-agent analysis across distinct areas, generating detailed reports and specific code suggestions before merging.

What is multi-agent analysis in code review?▼

Multi-agent analysis in code review employs specialized AI agents to evaluate distinct areas separately. This mechanism autonomously scans for architectural issues, test coverage gaps, and code style adherence to deliver comprehensive feedback.

How do I get actionable code review feedback for architectural issues and test coverage gaps?▼

Get actionable code review feedback by running an autonomous AI analysis on your pull request. It identifies test coverage gaps and architectural issues, then outputs detailed reports with specific code examples for suggested fixes.

Can I use AI to check code style adherence before merging a new feature?▼

Yes, you can use AI to check code style adherence before merging a new feature. The review assistant scans the pull request, evaluates your code against style guidelines, and suggests corrections to ensure quality.

Does autonomous code review work without manual configuration?▼

Autonomous code review works without manual configuration by leveraging predefined multi-agent scripts. It automatically processes your pull request, performs quality assurance checks, and posts findings as a comment.

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