Does it include automated linting or formatting?

No, this skill focuses on high-level logic, architecture, and security. It explicitly recommends using automated tools like Prettier or Black for formatting so the human (or AI) review can focus on complex logic.

What programming languages are supported?

While the core principles apply to all languages, the skill provides specific deep-dive patterns and common pitfalls for Python and TypeScript/JavaScript.

Can it help with specific security vulnerabilities?

Yes, it includes a dedicated Security Review Checklist covering authentication, SQL injection, XSS protection, and sensitive data exposure.

How does this skill improve team morale during reviews?

It shifts the focus from 'gatekeeping' to 'knowledge sharing' by using collaborative language, emphasizing 'praise' for good work, and providing actionable, non-judgmental feedback.

Code Review Excellence

Name: Code Review Excellence
Author: 3commas-io

by3commas-io

Collaboration Tools

Standardizes code review processes to catch bugs, improve architecture, and foster constructive team collaboration.

About

This skill equips Claude with a comprehensive framework for conducting high-quality code reviews, moving beyond simple bug-catching to architectural improvement and mentorship. It provides a systematic four-phase review process—from context gathering to line-by-line analysis—and emphasizes constructive feedback techniques like the 'Question Approach' and 'Severity Labels.' By implementing these best practices, teams can reduce cycle times, ensure security compliance, and maintain high maintainability standards across Python and TypeScript projects.

Key Features

Comprehensive checklists for security, performance, and test quality
Advanced patterns for architectural reviews and conflict resolution
Language-specific review patterns for Python and TypeScript/JavaScript
0 GitHub stars
Systematic four-phase review workflow (Context, High-Level, Line-by-Line, Summary)
Constructive feedback frameworks and severity-based labeling system

Use Cases

Reviewing complex pull requests for logic, security vulnerabilities, and performance
Establishing and enforcing standardized code review guidelines for engineering teams
Mentoring junior developers through educational, actionable, and non-judgmental feedback

About

Key Features

Comprehensive checklists for security, performance, and test quality
Advanced patterns for architectural reviews and conflict resolution
Language-specific review patterns for Python and TypeScript/JavaScript
0 GitHub stars
Systematic four-phase review workflow (Context, High-Level, Line-by-Line, Summary)
Constructive feedback frameworks and severity-based labeling system

Use Cases

Reviewing complex pull requests for logic, security vulnerabilities, and performance
Establishing and enforcing standardized code review guidelines for engineering teams
Mentoring junior developers through educational, actionable, and non-judgmental feedback