Can this skill be integrated into my CI/CD pipeline?

Yes, the provided scripts can be integrated into GitHub Actions or pre-commit hooks to automate quality checks during the development lifecycle.

What languages does this skill support?

It features automated support for JavaScript, TypeScript, Python, and Rust, but the manual checklists and architectural principles apply to any programming language.

Does it actually fix the code for me?

It identifies issues and provides specific refactoring recommendations; while it doesn't automatically rewrite files without prompt, it guides Claude in making the necessary improvements.

What kind of metrics does it track?

The skill measures cyclomatic complexity, nesting depth, function length, and identifies various 'code smells' like magic numbers or duplicated logic.

How do I trigger a review?

You can trigger it by asking Claude to 'review this code', after implementing significant changes, or before creating a pull request.

Code Review Pro

Name: Code Review Pro
Author: aaronbassett

byaaronbassett

Collaboration Tools

Conducts comprehensive multi-language code audits to optimize quality, performance, and architectural integrity.

About

Code Review Pro is a specialized Claude Code skill designed to automate and standardize the evaluation of software projects across JavaScript, TypeScript, Python, and Rust. It combines powerful automated analysis scripts—including complexity metrics and code smell detection—with exhaustive manual checklists to identify technical debt, security vulnerabilities, and performance bottlenecks before they reach production. Whether you are analyzing legacy codebases or preparing a final pull request, this skill provides actionable recommendations to ensure your code follows SOLID principles and industry best practices.

Key Features

Prioritized reporting with actionable refactoring recommendations
Automated project-wide analysis for JS, TS, Python, and Rust
Deep cyclomatic complexity and nesting depth metrics
Heuristic-based code smell and 'God class' detection
Comprehensive manual review checklists for architecture and security
0 GitHub stars

Use Cases

Legacy codebase analysis to identify and prioritize technical debt
Performance optimization by identifying deeply nested loops and inefficient logic
Pre-pull request audits to ensure code quality and adherence to standards

About

Key Features

Prioritized reporting with actionable refactoring recommendations
Automated project-wide analysis for JS, TS, Python, and Rust
Deep cyclomatic complexity and nesting depth metrics
Heuristic-based code smell and 'God class' detection
Comprehensive manual review checklists for architecture and security
0 GitHub stars

Use Cases

Legacy codebase analysis to identify and prioritize technical debt
Performance optimization by identifying deeply nested loops and inefficient logic
Pre-pull request audits to ensure code quality and adherence to standards