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code-analysis

Analyze code complexity and detect code smells in multi-language codebases.

27|16|Updated Oct 20, 2025

Search Tags:#code quality #software engineering #code analysis #refactoring #maintainability #complexity metrics #code smells

Ready to run

npx skills add https://github.com/bejranonda/LLM-Autonomous-Agent-Plugin-for-Claude --skill code-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-analysis
Source: https://github.com/bejranonda/LLM-Autonomous-Agent-Plugin-for-Claude/tree/main/skills/code-analysis
Command: npx skills add https://github.com/bejranonda/LLM-Autonomous-Agent-Plugin-for-Claude --skill code-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? This Skill provides methodologies and metrics to analyze code structure, complexity, and quality, helping identify areas for improvement, refactoring opportunities, and potential code smells. This saves time in manual code reviews and improves maintainability.

Core Features & Use Cases:

Complexity Metrics: Explains Cyclomatic and Cognitive Complexity to quantify code understandability and testability.
Code Smell Detection: Identifies common anti-patterns like Long Methods, Large Classes, Duplicate Code, and Deep Nesting.
Refactoring Strategies: Offers proven techniques such as Extract Method/Class and Simplify Conditional Expressions to improve code design.
Use Case: Analyze a legacy codebase to identify functions with high cyclomatic complexity and suggest refactoring strategies to improve maintainability and reduce bugs, all automatically.

Quick Start: Explain "Cyclomatic Complexity" and "Cognitive Complexity" and provide examples of code smells like "Long Methods" and "Large Classes."

Frequently Asked Questions about code-analysis

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

FAQPage Schema

How do I measure cyclomatic and cognitive complexity in my code?▼

Cyclomatic complexity quantifies decision points in code to measure testability; cognitive complexity measures mental effort to understand it. Both metrics identify functions prone to bugs and maintenance issues across multi-language codebases.

What are code smells and how do I detect them?▼

Code smells are anti-patterns like long methods, large classes, duplicate code, and deep nesting that signal design problems. Detection identifies these structural issues early, enabling targeted refactoring before they degrade maintainability.

How can I refactor high-complexity code to improve quality?▼

Proven refactoring strategies include extract method, extract class, replace conditional with polymorphism, and removing duplicate code. These techniques simplify structure, reduce complexity metrics, and lower defect risk in legacy codebases.

Can I analyze code quality automatically in CI pipelines?▼

Yes. Code analysis integrates into CI pipelines to measure complexity, detect smells, and propose refactoring opportunities automatically, eliminating manual review bottlenecks while maintaining consistent quality gates.

Does this work with multi-language codebases?▼

Code analysis applies across multiple programming languages in architecture assessments and code reviews. It produces language-agnostic complexity metrics and refactoring guidance applicable to heterogeneous projects.

What's the difference between cyclomatic and cognitive complexity?▼

Cyclomatic complexity counts decision branches to measure test coverage difficulty. Cognitive complexity adds weight for nesting depth and operator precedence, better reflecting actual mental load developers experience reading code.