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code-quality

Automate code quality review and apply fixes with parallel review agents.

Updated Jan 14, 2026
Search Tags:#code quality#software engineering#code review#AI automation#design integrity
One-click install
npx skills add https://github.com/erwinkn/ai-config --skill code-quality-erwinkn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-quality
Source: https://github.com/erwinkn/ai-config/tree/main/.agents/skills/code-quality
Command: npx skills add https://github.com/erwinkn/ai-config --skill code-quality-erwinkn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates code review and cleanup, simplifying the process of ensuring code quality and design integrity.

Core Features & Use Cases

  • Automated Review: Execute a comprehensive code quality review using parallel review agents.
  • Customizable Focus: Allows specifying additional focus areas for the review process.
  • Fixes and Reports: Applies fixes directly where possible and generates detailed reports for review-only mode.

Quick Start

Run the code-quality skill on your codebase with 'code-quality'.

Frequently Asked Questions about code-quality

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

FAQPage Schema
How do I automate code review to catch security vulnerabilities and duplication?▼

Automated code review identifies and resolves common issues like code duplication, security vulnerabilities, and inefficient operations. It uses parallel review agents to evaluate your codebase and apply fixes directly where possible.

What is the best way to maintain high standards in production code without manual checks?▼

Maintaining production code standards is achieved through automated code quality reviews. This process identifies test quality problems and design integrity issues, utilizing multiple AI backends to minimize biases during the evaluation.

Can I customize automated code analysis to focus on specific software engineering areas?▼

Automated code analysis allows specifying additional focus areas for the review process. You can tailor the comprehensive review to target specific concerns within your software engineering workflows beyond the default checks.

How does AI automation work for fixing code quality issues in my codebase?▼

AI automation for code quality works by deploying parallel review agents that scan for inefficient operations and vulnerabilities. The system applies fixes directly to the code where possible or generates detailed reports for review-only mode.

Does automated code cleanup provide reports for issues it cannot resolve automatically?▼

Automated code cleanup generates detailed reports when operating in review-only mode or when it cannot directly apply a fix. These reports document the identified code quality problems for manual resolution.

Why use multiple AI backends for code review instead of a single automated checker?▼

Using multiple AI backends for code review minimizes biases that can occur with a single automated checker. This approach provides a more comprehensive assessment of code duplication, security vulnerabilities, and design integrity.

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