tech-debt-analyzer

Name: tech-debt-analyzer
Availability: InStock
Author: ntaksh42

Analyzes and prioritizes technical debt in a codebase with refactoring recommendations.

1|1|Updated Nov 22, 2025

Search Tags:#code quality #code analysis #refactoring #dependency management #technical debt #test coverage

Ready to run

npx skills add https://github.com/ntaksh42/agents --skill tech-debt-analyzer-ntaksh42

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tech-debt-analyzer
Source: https://github.com/ntaksh42/agents/tree/main/.claude/skills/tech-debt-analyzer
Command: npx skills add https://github.com/ntaksh42/agents --skill tech-debt-analyzer-ntaksh42

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps identify, analyze, and prioritize technical debt within a codebase, providing actionable recommendations for refactoring and improvement.

Core Features & Use Cases

Code Complexity Analysis: Detects overly complex code sections (e.g., high cyclomatic complexity).
Duplicate Code Detection: Identifies copy-pasted code blocks.
Dependency Management: Flags outdated or vulnerable dependencies.
TODO/FIXME Tracking: Lists outstanding developer notes.
Test Coverage Assessment: Highlights areas with insufficient test coverage.
Prioritization: Ranks technical debt items by impact and estimated effort.
Use Case: When planning a sprint, use this Skill to get a clear report on the most critical technical debt items, allowing the team to focus on high-impact refactoring.

Quick Start

Analyze the technical debt in the current project and provide a prioritized report.

Frequently Asked Questions about tech-debt-analyzer

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

FAQPage Schema

How do I analyze technical debt in my codebase for sprint planning?▼

Analyzing technical debt involves scanning your project to identify code complexity, duplicate blocks, outdated dependencies, and test coverage gaps, yielding a prioritized report for high-impact refactoring.

What is the best way to prioritize refactoring tasks in a large project?▼

The best way to prioritize refactoring tasks is by evaluating technical debt items based on their impact and estimated effort, allowing your team to focus on the most critical code complexity and coverage issues.

How does code complexity analysis identify areas needing refactoring?▼

Code complexity analysis identifies refactoring targets by detecting overly complex code sections, such as those with high cyclomatic complexity, alongside tracking outstanding TODO and FIXME developer notes.

Can I detect outdated dependencies and test coverage gaps simultaneously?▼

Yes, you can detect outdated dependencies and test coverage gaps simultaneously through a comprehensive technical debt evaluation that flags vulnerable packages and highlights insufficient test coverage areas.

Does technical debt analysis work for general code quality evaluations?▼

Technical debt analysis is applicable for general code quality evaluations, detecting duplicate code blocks and tracking outstanding developer notes to help plan debt reduction and improve overall maintainability.