code-reviewer

Analyze pull request code changes for complexity, risk, and quality issues.

Updated Mar 21, 2026
One-click install
npx skills add https://github.com/AgLyx3/My-Note-App-Not-Just-a-Note-App --skill code-reviewer-aglyx3
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/AgLyx3/My-Note-App-Not-Just-a-Note-App/tree/main/.cursor/skills/engineering-team/code-reviewer
Command: npx skills add https://github.com/AgLyx3/My-Note-App-Not-Just-a-Note-App --skill code-reviewer-aglyx3

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Code review automation tools for analyzing pull requests, detecting code quality issues, and generating review reports. They help reviewers quickly identify risk, complexity, and maintainability concerns, enabling faster and more reliable PR outcomes.

Core Features & Use Cases

  • Analyzes PRs for complexity and risk to surface high-priority review items.
  • Checks code quality for SOLID violations and code smells, and generates structured review reports.
  • Use Case: Integrate into PR workflows to automatically produce checklists and actionable recommendations for changes.

Quick Start

Invoke the tool on a pull request to generate a structured review report.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I automate code reviews for pull requests?

Automate code reviews by analyzing pull requests to assess complexity, risk, and quality issues. This process generates structured review reports and actionable checklists to accelerate PR outcomes.

Can I use static analysis to check code quality in a CI/CD pipeline?

Yes, static analysis checks code quality for SOLID violations and code smells during PR reviews. It outputs structured reports in JSON or human-readable formats for direct CI/CD integration.

Does automated PR analysis work with Go, Swift, and Kotlin projects?

Automated PR analysis works with TypeScript, JavaScript, Python, Go, Swift, and Kotlin projects. It evaluates code changes to surface high-priority review items across these languages.

What is the best way to detect complexity and risk in code changes?

The best way to detect complexity and risk is by applying static analysis to pull requests. This surfaces high-priority maintainability concerns and generates actionable recommendations for reviewers.

How do I generate a code review checklist for my pull request?

Generate a code review checklist by invoking automated analysis on your pull request. The tool evaluates code quality and produces structured reports with actionable checklists for reviewers.

What format does the automated code review report output for CI integration?

Automated code review reports output in JSON or human-readable formats for CI integration. These structured reports detail complexity, risk, and code quality issues found in the pull request.