What languages does the Technical Debt Analyzer support?

While the documentation frameworks are language-agnostic, the automated analysis scripts are specifically optimized for JavaScript and TypeScript codebases.

Does it provide a way to track debt over time?

Absolutely. It includes a comprehensive Technical Debt Register template to track active items, resolution status, and trends by category and severity.

Can it help with security audits?

Yes, it includes dependency analysis to find deprecated or vulnerable packages and provides a framework for identifying security debt such as missing input validation or exposed secrets.

How does it detect code quality issues?

It uses automated scripts to identify indicators like cyclomatic complexity (>10), large files (>500 lines), deep nesting, magic numbers, and 'debt markers' like TODO or FIXME comments.

How does it assist in sprint planning?

It provides a Priority Matrix that categorizes debt items by Impact vs. Effort, helping teams decide which items to fix immediately (High Impact/Low Effort) and which to plan for later.

Technical Debt Analyzer

Name: Technical Debt Analyzer
Author: nguyendinhquocx

bynguyendinhquocx

Security & Testing

Systematically identifies, analyzes, and documents technical debt in JavaScript and TypeScript codebases to improve long-term maintainability.

About

The Technical Debt Analyzer is a specialized skill designed to help development teams manage the 'hidden costs' of software development. It combines automated scripts for detecting code smells and dependency issues with structured frameworks for manual architectural reviews. By providing standardized templates for Technical Debt Registers and Architecture Decision Records (ADRs), it enables developers to categorize debt by severity, prioritize refactoring efforts based on a clear impact-effort matrix, and implement long-term prevention strategies to maintain high code quality standards.

Key Features

Comprehensive dependency analysis for deprecated or vulnerable packages.
Actionable prioritization matrices to guide refactoring and sprint planning.
Automated detection of code smells, high complexity, and large files.
0 GitHub stars
Standardized categorization for code, architectural, and documentation debt.
Professional templates for Debt Registers and Architecture Decision Records (ADRs).

Use Cases

Conducting comprehensive audits of legacy JavaScript or TypeScript codebases.
Establishing a continuous technical debt management and tracking workflow for agile teams.
Documenting major architectural trade-offs to prevent future maintenance issues.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nguyendinhquocx/code-ai tech-debt-analyzer

For use in Claude.ai and ChatGPT

Download Skill

GitHub