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Tech Debt Tracker

Scan codebases to identify, quantify, and prioritize technical debt.

Updated Feb 27, 2026
Search Tags:#code quality#automation#code analysis#refactoring#technical debt#developer productivity
One-click install
npx skills add https://github.com/amanhsn/flyerbuild --skill tech-debt-tracker-amanhsn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Tech Debt Tracker
Source: https://github.com/amanhsn/flyerbuild/tree/main/.cursor/skills/tech-debt-tracker
Command: npx skills add https://github.com/amanhsn/flyerbuild --skill tech-debt-tracker-amanhsn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires json, argparse, os, re, sys, math, collections, datetime, pathlib, typing, dataclasses, statistics, ast, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill tackles the pervasive issue of technical debt, which slows down development, increases bugs, and hinders maintainability by providing tools to identify, prioritize, and track debt.

Core Features & Use Cases

  • Automated Debt Detection: Scans codebases to find various types of technical debt like large functions, complexity, and security vulnerabilities.
  • Intelligent Prioritization: Ranks debt items using frameworks like Cost of Delay and WSJF to focus on what matters most.
  • Trend Analysis: Tracks debt over time with dashboards and reports for informed decision-making.
  • Use Case: A development team can use this Skill to automatically scan their entire project, identify the top 5 most critical debt items impacting velocity, and generate a prioritized backlog for the next sprint planning session.

Quick Start

Use the tech debt tracker skill to scan the current directory and generate a report.

Frequently Asked Questions about Tech Debt Tracker

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

FAQPage Schema
How do I identify and quantify technical debt across my codebase?▼

Identify technical debt by scanning your codebase to detect code quality issues, architectural flaws, testing gaps, and dependency problems. The analysis quantifies these deficits to help you track and manage maintainability.

What is the best way to prioritize technical debt for sprint planning?▼

Prioritize technical debt by ranking items using built-in frameworks like Cost of Delay, WSJF, and RICE. This method evaluates the impact of architectural flaws and code issues to generate a focused backlog.

Can I automate code analysis to track refactoring needs over time?▼

Automate code analysis by scanning your project directory to find code quality issues and track trend analysis over time. This generates dashboards and reports to guide refactoring decisions.

Does automated debt detection work with existing developer productivity workflows?▼

Automated debt detection integrates with developer productivity workflows by scanning the current directory and generating a prioritized report. It identifies infrastructure and documentation deficits for actionable backlog management.

How do I scan my current directory to find architectural flaws and testing gaps?▼

Scan your current directory to find architectural flaws and testing gaps by running automated analysis tools. The scan evaluates code complexity and security vulnerabilities to produce a comprehensive health report.

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