code-analysis

Analyze multi-language codebases for quality issues and generate remediation reports.

1|Updated Jan 12, 2026

Search Tags:#complexity #code-quality #static-analysis #report #analyze #code-smells

Ready to run

npx skills add https://github.com/josavicentevw/ai-agent-skills --skill code-analysis-josavicentevw

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-analysis
Source: https://github.com/josavicentevw/ai-agent-skills/tree/main/skills/code-analysis
Command: npx skills add https://github.com/josavicentevw/ai-agent-skills --skill code-analysis-josavicentevw

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps teams quickly identify code-quality issues, smells, and potential defects across codebases to accelerate reviews and improve maintainability.

Core Features & Use Cases

Static code quality analysis with actionable recommendations
Complexity, coverage, and code-smell detection across languages
Generates structured reports to support PR reviews, audits, and refactoring planning

Quick Start

Place the target files or repository under analysis in the working directory and run the provided analysis script to obtain a prioritized report.

Frequently Asked Questions about code-analysis

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

FAQPage Schema

How do I run static analysis to detect code smells across a multi-language codebase?▼

To run static analysis for code smells across a multi-language codebase, place your target files in the working directory and execute the analysis script. This identifies quality issues and produces a structured report with prioritized remediation guidance for languages like Python, JavaScript, and Go.

Can I use this to quantify code complexity and plan refactoring for legacy code?▼

Yes, you can use this to quantify code complexity and plan refactoring for legacy code. It enforces static analysis concepts and complexity metrics to identify defects, generating an actionable report that supports legacy audits and prioritizes refactoring efforts across multiple programming languages.

Does this static analysis tool support Go and Java alongside Python and TypeScript?▼

Yes, this static analysis tool supports Go and Java alongside Python, JavaScript, and TypeScript. It targets code-quality reviews across these languages, detecting code smells and potential defects while outputting structured results to accelerate developer action.

What's the best way to generate an actionable code quality report for a PR review?▼

The best way to generate an actionable code quality report for a PR review is to run the analysis script against the target repository. It identifies code smells and complexity issues, producing structured results with concrete remediation guidance to support pull request evaluations.

Are there any dependencies required to perform code complexity analysis?▼

No dependencies are required to perform code complexity analysis. The skill operates independently using its internal scripts to enforce static analysis concepts and code-smell detection, requiring only your target files placed in the working directory to generate the report.