analyzing-code-quality

Analyze code quality by detecting anti-patterns and evaluating complexity.

1|1|Updated Apr 7, 2026

Search Tags:#code quality #static analysis #technical debt #codebase analysis #anti-pattern

Ready to run

npx skills add https://github.com/quangphu1912/codebase-analyzer --skill analyzing-code-quality

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: analyzing-code-quality
Source: https://github.com/quangphu1912/codebase-analyzer/tree/main/skills/analyzing-code-quality
Command: npx skills add https://github.com/quangphu1912/codebase-analyzer --skill analyzing-code-quality

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps developers maintain high code quality, detect anti-patterns, and manage technical debt by providing tools and metrics to evaluate and enhance the quality of a codebase.

Core Features & Use Cases

Code Quality Assessment: Identifies hotspots, anti-patterns, complexity hotspots, and risk areas.
Anti-Pattern Detection: Automatically identifies God classes, long methods, deep nesting, feature envy, duplicated code, and missing error handling.
Use Case: Use this Skill to analyze the quality of a new codebase or a large legacy system, quickly identifying areas that need improvement.

Quick Start

Run the codebase-analyzer:analyze-code-quality command to start the code quality analysis on your current codebase.

Frequently Asked Questions about analyzing-code-quality

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

FAQPage Schema

How do I detect anti-patterns and technical debt in a legacy codebase?▼

To detect anti-patterns and technical debt in a legacy codebase, you can use static code analysis to automatically identify issues like God classes, long methods, and deep nesting. This evaluates code health and highlights risk areas needing improvement.

What static analysis metrics are used for code quality assessment?▼

Code quality assessment uses static analysis metrics to identify complexity hotspots, duplicated code, and missing error handling. These metrics apply defined criteria to evaluate codebase health and provide actionable insights for bug hunting.

How do I analyze code complexity and find risk areas in my project?▼

You can analyze code complexity and find risk areas by running a codebase analyzer command that applies static analysis and pattern recognition. This process evaluates your codebase against defined metrics to pinpoint anti-patterns and high-risk zones.

Can I use static code analysis to identify God classes and feature envy?▼

Yes, static code analysis can automatically identify God classes and feature envy, along with long methods, deep nesting, and duplicated code. It detects these structural anti-patterns by evaluating your codebase against defined criteria.

What is the best way to manage technical debt in a large software system?▼

The best way to manage technical debt in a large software system is by performing regular codebase analysis to detect anti-patterns and complexity hotspots. Using static analysis tools provides actionable insights to systematically evaluate and improve code quality.

Does codebase analysis work for evaluating the health of a new project?▼

Yes, codebase analysis works for evaluating the health of a new project by applying static analysis to identify code quality issues early. It assesses code complexity and detects anti-patterns to ensure maintainable software engineering workflows.