agent-analyze-code-quality

Analyze JavaScript, TypeScript, Python, and Java codebases for code smells and maintainability issues.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/Ethansuttor/QUANTIFIED --skill agent-analyze-code-quality
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-analyze-code-quality
Source: https://github.com/Ethansuttor/QUANTIFIED/tree/main/.gemini/skills/ruflo/.agents/skills/agent-analyze-code-quality
Command: npx skills add https://github.com/Ethansuttor/QUANTIFIED --skill agent-analyze-code-quality

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code teams often spend excessive time on manual code quality reviews. This skill automates the detection of code smells, maintainability risks, and technical debt, enabling faster and more reliable improvements.

Core Features & Use Cases

  • Identify code smells, anti-patterns, and maintainability risks.
  • Evaluate complexity, enforce coding standards, and propose safe refactors.
  • Apply to multi-language projects (JS/TS/Python/Java) for ongoing quality checks.
  • Use Case: A large feature module triggers linting failures during a release; run the analyzer to surface actionable improvements and recommended refactors.

Quick Start

Analyze the authentication module for code quality issues.

Frequently Asked Questions about agent-analyze-code-quality

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

FAQPage Schema
How do I automate code quality analysis for a JavaScript project?

You can automate code quality analysis by running this tool to detect code smells, evaluate complexity, and propose safe refactors in JavaScript and TypeScript projects. It surfaces actionable improvements to help clean up codebases faster.

Can I use this to assess technical debt in a Python codebase?

Yes, you can assess technical debt in a Python codebase by using this analyzer to identify maintainability risks and anti-patterns. It evaluates your code against naming and style conventions to highlight areas needing refactoring.

What is the best way to plan refactoring for maintainability issues?

The best way to plan refactoring is to analyze code quality to identify specific code smells and maintainability issues. This tool suggests concrete, non-destructive refactoring opportunities to safely improve your codebase.

Does this code review tool support Java projects?

Yes, this code review tool supports Java projects alongside JavaScript, TypeScript, and Python. It handles multi-language project analysis to enforce coding standards and identify maintainability risks across your entire codebase.

How do I enforce naming and style conventions during a code review?

You enforce naming and style conventions by running an automated code quality analysis across your codebase. This identifies deviations from established standards and suggests concrete refactoring opportunities to ensure compliance.

Why analyze code smells before a feature module release?

Analyzing code smells before a release identifies maintainability risks and anti-patterns that cause linting failures. Running the analyzer surfaces actionable improvements and recommended refactors to ensure a clean, stable release.