Can it help with unit testing?

Absolutely. It checks for sufficient test coverage, ensures tests focus on behavior rather than implementation, and validates edge-case handling.

Can it find security vulnerabilities?

Yes, it specifically looks for common vulnerabilities like SQL injection, XSS, race conditions, and improper error handling.

How is the feedback formatted?

Feedback is constructive, specific, and prioritized, providing clear reasoning behind suggestions and actionable steps for improvement.

What does the Code Reviewer skill do?

It analyzes code for quality, security, and architectural integrity, providing detailed feedback to improve maintainability and performance.

Does it support specific design patterns?

It evaluates code against Clean Architecture, Domain-Driven Design (DDD), and SOLID principles to ensure proper separation of concerns.

AI Code Reviewer

Name: AI Code Reviewer
Author: aimskr

byaimskr

Collaboration Tools

Reviews source code for architectural integrity, security vulnerabilities, and performance optimizations using rigorous critical thinking frameworks.

About

The Code Reviewer skill transforms Claude into an expert engineering lead capable of performing deep-dive audits of pull requests and implementation patterns. It goes beyond simple linting by applying critical thinking to architectural decisions, assessing long-term maintainability, and identifying subtle edge cases in concurrency or security. By following a structured checklist covering Clean Architecture, SOLID principles, and comprehensive testing strategies, it provides constructive, actionable feedback to ensure production code meets the highest industry standards before merging.

Key Features

Deep architectural audits for Clean Architecture and DDD principles
Comprehensive testing coverage and edge-case validation
Security vulnerability detection including SQLi and XSS prevention
0 GitHub stars
Performance bottleneck and memory leak identification
Constructive feedback loop with specific, actionable improvement steps

Use Cases

Security and performance audits for mission-critical application modules
Pre-merge pull request reviews to maintain high code quality standards
Refactoring legacy codebases to improve readability and reduce complexity

About

Key Features

Deep architectural audits for Clean Architecture and DDD principles
Comprehensive testing coverage and edge-case validation
Security vulnerability detection including SQLi and XSS prevention
0 GitHub stars
Performance bottleneck and memory leak identification
Constructive feedback loop with specific, actionable improvement steps

Use Cases

Security and performance audits for mission-critical application modules
Pre-merge pull request reviews to maintain high code quality standards
Refactoring legacy codebases to improve readability and reduce complexity