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code-review

Analyze code across architecture, quality, correctness, performance, and maintainability.

4|Updated Mar 7, 2026
Search Tags:#code review#code analysis#refactoring#technical debt#software quality#developer productivity
One-click install
npx skills add https://github.com/kimon1230/claude_extensions --skill code-review-kimon1230
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/kimon1230/claude_extensions/tree/main/skills/code-review
Command: npx skills add https://github.com/kimon1230/claude_extensions --skill code-review-kimon1230

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates in-depth code reviews, identifying critical issues in architecture, quality, correctness, performance, and maintainability, ensuring higher software quality and reducing technical debt.

Core Features & Use Cases

  • Multi-faceted Analysis: Evaluates code from five distinct senior engineering perspectives (Architecture, Quality, Correctness, Performance, Maintainability).
  • Automated Remediation: Offers to automatically fix critical and major issues identified during the review.
  • Use Case: Before merging a significant feature, use this Skill to get a comprehensive review that catches potential bugs, performance bottlenecks, and design flaws, ensuring the code meets high standards.

Quick Start

Use the code-review skill to review the files in the 'src/utils' directory.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate code review to catch architecture and performance issues before merging?▼

You can automate code review by running a multi-agent analysis that evaluates architecture, quality, correctness, performance, and maintainability to identify critical issues and design flaws before a merge.

What is the best way to perform a comprehensive code analysis on a specific project directory?▼

Comprehensive code analysis is performed by targeting a specific directory like 'src/utils', where the review process analyzes project scope, language, and framework to tailor review criteria for identifying critical issues.

Can I automatically fix technical debt and major issues found during a code review?▼

Yes, automated remediation is available to fix critical and major issues identified during the code review, offering follow-up verification rounds to ensure the software quality is elevated and technical debt is reduced.

Does the code review process adapt its criteria based on my programming language and framework?▼

Yes, the code review process analyzes your project's scope, language, and framework to tailor the review criteria, ensuring the multi-faceted analysis accurately targets your specific software engineering environment.

What perspectives should a thorough code analysis cover to reduce technical debt?▼

A thorough code analysis should cover five distinct senior engineering perspectives: architecture, quality, correctness, performance, and maintainability to effectively reduce technical debt and ensure high software quality.

How do I identify performance bottlenecks and design flaws in my source code?▼

You identify performance bottlenecks and design flaws by executing an in-depth code review that evaluates code from multiple engineering perspectives, catching potential bugs and suggesting fixes for major issues.

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