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tech-debt-tracker

Identify and quantify technical debt across Python and JavaScript codebases.

Updated Mar 30, 2026
Search Tags:#automation#dashboard#prioritization#multi-language#backlog#code-quality#technical-debt
One-click install
npx skills add https://github.com/Scheune10-coding/my-claude-code-skills --skill tech-debt-tracker-scheune10-coding
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tech-debt-tracker
Source: https://github.com/Scheune10-coding/my-claude-code-skills/tree/main/tech-debt-tracker
Command: npx skills add https://github.com/Scheune10-coding/my-claude-code-skills --skill tech-debt-tracker-scheune10-coding

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Tech debt is slowing delivery and increasing maintenance costs; this skill provides a comprehensive framework to identify, analyze, prioritize, and track debt across codebases.

Core Features & Use Cases

  • Debt Scanner: automatically identifies tech debt signals across Python, JavaScript, and other languages in a codebase.
  • Debt Prioritizer: analyzes debt items using multiple frameworks (CoD, WSJF, and RICE) to generate a data-driven backlog.
  • Debt Dashboard: tracks debt trends over time and delivers executive summaries and actionable recommendations.

Quick Start

Run the debt-scanner on your codebase to generate an initial debt inventory and backlog.

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 a multi-language codebase?▼

Technical debt prioritization uses CoD, WSJF, and RICE frameworks to analyze debt items. This generates a data-driven backlog that assesses business impact, allowing teams to sequence remediation tasks based on quantified value and delivery velocity.

Can I generate an executive dashboard to track technical debt trends over time?▼

Yes, the debt scanner supports multi-language projects with Python, JavaScript, and infrastructure considerations. It detects technical debt signals across these environments to provide comprehensive coverage for diverse software engineering teams.

How do I create a sprint-ready backlog for technical debt remediation?▼

Create a sprint-ready backlog for technical debt remediation by scanning your codebase to detect debt items, then applying prioritization frameworks. This delivers automated detection results and business impact assessments formatted for sprint planning and governance.

What is the best way to prioritize technical debt items for remediation?▼

The best way to prioritize technical debt items is using multiple frameworks like CoD, WSJF, and RICE to evaluate business impact and delivery velocity. This data-driven approach generates a prioritized backlog to guide remediation efforts effectively.

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