code-review-expert

Automate code reviews for quality, security, and performance issues.

1|Updated May 10, 2026
One-click install
npx skills add https://github.com/Cuki2910/M2G-NET --skill code-review-expert-cuki2910
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review-expert
Source: https://github.com/Cuki2910/M2G-NET/tree/main/.agents/skills/code-review-expert
Command: npx skills add https://github.com/Cuki2910/M2G-NET --skill code-review-expert-cuki2910

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of code reviews, providing expert-level analysis and feedback on code quality, security, and performance.

Core Features & Use Cases

  • Structured Code Review: Provides a comprehensive review of code based on industry best practices.
  • Security Analysis: Identifies security vulnerabilities such as XSS, injection, and SSRF.
  • Performance Analysis: Detects performance issues like N+1 queries and CPU hotspots.
  • Use Case: Ideal for developers who want to ensure their code adheres to best practices and is secure and efficient before merging into the main branch.

Quick Start

Perform a code review of the current git changes with /code-review-expert.

Frequently Asked Questions about code-review-expert

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does automated performance analysis identify N+1 queries and CPU hotspots?

Performance analysis identifies N+1 queries and CPU hotspots by using various code analysis libraries to scan modifications. It detects inefficient resource utilization patterns within the codebase and proposes performance optimizations.

How do I automate code review for security vulnerabilities like XSS and SSRF?

Automating code review detects security vulnerabilities like XSS, injection, and SSRF by analyzing git changes for risks. It identifies exposure patterns and proposes targeted improvements to secure your code before merging.

Can I detect SOLID principle violations and performance issues in my git changes?

Analyzing git changes detects SOLID principle violations and performance issues like N+1 queries or CPU hotspots. The review provides structured feedback based on industry best practices to resolve structural inefficiencies.

What is the best way to check code quality before merging into the main branch?

Checking code quality before merging requires structured review analysis of git changes. This process evaluates adherence to best practices, identifies security risks, and flags performance bottlenecks to ensure efficient integration.

Do I need git to analyze code quality and SOLID violations?

Git is required to analyze code quality and SOLID violations because the review process evaluates current git changes. This dependency allows the analysis to target specific modifications and propose relevant improvements.

How does automated performance analysis identify N+1 queries and CPU hotspots?

Performance analysis identifies N+1 queries and CPU hotspots by using various code analysis libraries to scan modifications. It detects inefficient resource utilization patterns within the codebase and proposes performance optimizations.