What aspects of the code does this skill review?

It reviews code for correctness, logic errors, security vulnerabilities, performance efficiency (including database queries), architectural design, and test coverage.

Can it detect performance issues like N+1 queries?

Specifically, yes. The review checklist includes checks for inefficient database queries, missing indexes, and unbounded data fetching.

Will it help ensure my code is well-tested?

Absolutely. The skill verifies that new features have corresponding tests, bug fixes include regressions, and overall test quality meets professional standards.

Does it integrate with my existing Git workflow?

Yes, the skill is designed to use 'git' and 'gh' commands to view diffs, read PR descriptions, and understand commit history directly in your environment.

How does it categorize feedback?

Feedback is structured into four tiers: Critical Issues (blocking), Important Issues (should fix), Suggestions (nice-to-have), and Positive Feedback (calling out good work).

Code Review Expert

Name: Code Review Expert
Author: sontek

bysontek

Collaboration Tools

Performs systematic engineering-grade code reviews covering security, performance, logic, and architectural best practices.

About

The Code Review skill transforms Claude into a senior-level reviewer that follows a disciplined investigation approach to analyze pull requests and code changes. It goes beyond simple linting by evaluating deep architectural concerns, potential runtime errors, security vulnerabilities like SQL injection, and performance bottlenecks such as N+1 queries. By integrating with Git and GitHub CLI tools, it gathers context from commit history and PR descriptions to provide structured, actionable feedback categorized by severity, ensuring your codebase remains robust while maintaining high velocity.

Key Features

Standardized reporting with Critical, Important, and Suggestion classifications
Rigorous verification of test coverage and regression impacts
Automated context gathering using Git and GitHub CLI integration
0 GitHub stars
Structured investigation process that filters noise to focus on critical issues
Comprehensive checklists for security, database performance, and type safety

Use Cases

Auditing legacy code changes for potential performance regressions and resource leaks
Ensuring architectural consistency and design pattern adherence across a large codebase
Automating the first pass of Pull Request reviews to identify blocking security or logic flaws

About

Key Features

Standardized reporting with Critical, Important, and Suggestion classifications
Rigorous verification of test coverage and regression impacts
Automated context gathering using Git and GitHub CLI integration
0 GitHub stars
Structured investigation process that filters noise to focus on critical issues
Comprehensive checklists for security, database performance, and type safety

Use Cases

Auditing legacy code changes for potential performance regressions and resource leaks
Ensuring architectural consistency and design pattern adherence across a large codebase
Automating the first pass of Pull Request reviews to identify blocking security or logic flaws