code-reviewer

Analyze source code for architecture conformance, code quality, and performance issues.

171|49|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/nagisanzenin/claude-code-production-grade-plugin --skill code-reviewer-nagisanzenin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/nagisanzenin/claude-code-production-grade-plugin/tree/main/skills/code-reviewer
Command: npx skills add https://github.com/nagisanzenin/claude-code-production-grade-plugin --skill code-reviewer-nagisanzenin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automatically reviews code for quality, architecture conformance, anti-patterns, performance issues, and maintainability, acting as a crucial quality gate before deployment.

Core Features & Use Cases

  • Comprehensive Code Analysis: Audits code against architectural decisions, SOLID principles, and performance best practices.
  • Automated Finding Generation: Identifies and categorizes issues by severity (Critical, High, Medium, Low) with detailed explanations and suggested fixes.
  • Use Case: Integrate this Skill into your CI/CD pipeline to automatically flag potential bugs, architectural drift, and performance bottlenecks in new code commits, ensuring production-readiness.

Quick Start

Use the code-reviewer skill to analyze the codebase in the current directory for architectural conformance and code quality issues.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I automate code review for architecture conformance and SOLID principles?

Automated code review for architecture conformance analyzes source code against predefined architectural decisions and SOLID principles. This process identifies deviations, categorizes them by severity, and generates detailed reports with actionable auto-fix suggestions for mechanical issues.

What is the best way to identify performance bottlenecks and test coverage gaps before deployment?

Identifying performance bottlenecks and test coverage gaps requires a deep, adversarial code analysis across multiple dimensions. This review audits the codebase and test suites to flag potential issues, ensuring production-readiness before code is merged into the main branch.

How does static analysis find anti-patterns and architectural drift in new code commits?

Static analysis finds anti-patterns and architectural drift by analyzing source code and documentation without executing the program. It cross-references the implementation against documented architectural decisions to detect deviations and categorize them by severity levels.

Can I integrate automated code quality assurance into a CI/CD pipeline?

Automated code quality assurance can be integrated into a CI/CD pipeline to act as a quality gate before deployment. This integration automatically flags potential bugs, architectural drift, and performance issues in new code commits to ensure maintainability.

Does automated code review generate auto-fix suggestions for mechanical issues?

Automated code review generates auto-fix suggestions specifically for mechanical issues found during the analysis. It categorizes all findings by severity—Critical, High, Medium, or Low—and provides detailed explanations alongside these actionable fixes.

What are the limitations of using automated static analysis for code quality assurance?

Automated static analysis for code quality assurance is limited to detecting predefined anti-patterns, architectural drift, and mechanical issues. It may not fully comprehend complex business logic nuances, requiring human oversight to validate the generated findings and suggested fixes.