When does the code-review skill activate?

The skill triggers automatically when you modify more than 50 lines of code, implement new features, or touch sensitive areas like authentication and payments.

Which programming languages and frameworks are supported?

It provides specialized review criteria for Go (Echo), Swift (SwiftUI), Kotlin (Jetpack Compose), and TypeScript (Next.js/React).

Can it detect security vulnerabilities?

Yes, it specifically checks for hardcoded secrets, missing input validation, SQL/NoSQL injection, and XSS vulnerabilities.

How is the review feedback presented?

Feedback is delivered in a standardized markdown summary categorized into Critical Issues, Warnings, Suggestions, and Pattern Compliance.

AI Code Review & Quality Guard

Name: AI Code Review & Quality Guard
Author: muyen

bymuyen

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Collaboration Tools

Automatically audits code changes for security vulnerabilities, architectural patterns, and performance optimizations across full-stack environments.

About

This skill transforms Claude into a proactive senior technical reviewer that identifies issues in significant code contributions before they reach production. Beyond standard linting, it enforces project-specific patterns and ensures type safety while checking for critical security flaws like SQL injection and hardcoded secrets. Specifically tailored for the 'vibe-to-prod' workflow, it supports backend Go services, mobile Swift and Kotlin apps, and TypeScript web projects, providing structured feedback to accelerate the transition from prototype to production-ready software.

Key Features

Standardized reporting with critical issues, warnings, and suggestions
Automated architectural and project pattern enforcement
Multi-platform support for Go, Swift, Kotlin, and TypeScript
Performance analysis for N+1 queries and pagination limits
22 GitHub stars
Critical security vulnerability detection including XSS and SQLi

Use Cases

Auditing complex pull requests or large feature implementations
Identifying hidden security risks in authentication and payment logic
Ensuring consistency with domain-specific architecture and project conventions

About

Key Features

Standardized reporting with critical issues, warnings, and suggestions
Automated architectural and project pattern enforcement
Multi-platform support for Go, Swift, Kotlin, and TypeScript
Performance analysis for N+1 queries and pagination limits
22 GitHub stars
Critical security vulnerability detection including XSS and SQLi

Use Cases

Auditing complex pull requests or large feature implementations
Identifying hidden security risks in authentication and payment logic
Ensuring consistency with domain-specific architecture and project conventions