long-term-debt-tracker

Tracks, categorizes and prioritizes technical debt into actionable backlog items.

1|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/hohai99/antigravity-skills --skill long-term-debt-tracker
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: long-term-debt-tracker
Source: https://github.com/hohai99/antigravity-skills/tree/main/global_skills/long-term-debt-tracker
Command: npx skills add https://github.com/hohai99/antigravity-skills --skill long-term-debt-tracker

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams visualize and govern the hidden costs of past decisions by tracking debt across code, specs, and processes to prevent silent rot and degraded velocity.

Core Features & Use Cases

  • Track debt by category: Code Debt, Spec Debt, and Process Debt to keep a holistic view of maintenance work.
  • Rank and prioritize debt based on risk, maintenance cost, and impact on deliverables.
  • Link debt items to remediation tasks and backlog milestones, enabling targeted refactoring and specs updates.
  • Use Case: After a quarterly audit, surface the top debt items and create a prioritized backlog for the next sprint.

Quick Start

Start by auditing the repository and incident reviews to identify existing debt items, then log them with suggested remediation and owners.

Frequently Asked Questions about long-term-debt-tracker

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

FAQPage Schema
How do I track and prioritize technical debt in a software backlog?

You can track technical debt by categorizing items into code, spec, and process types. This approach quantifies risk and maintenance cost to generate a prioritized remediation backlog, preventing silent rot and degraded velocity during maintenance windows.

What is the best way to manage technical debt after a post-incident review?

Managing technical debt after a post-incident review requires auditing existing issues and logging them with suggested remediation and owners. Debt items are then ranked by risk and impact on deliverables to schedule targeted refactoring tasks for the next sprint.

How do I categorize technical debt for effective backlog management?

Categorize technical debt into code debt, spec debt, and process debt to maintain a holistic view of maintenance work. This classification helps rank items based on maintenance cost and impact, enabling targeted refactoring and specification updates.

Can I use this for scheduling refactoring tasks during quarterly audits?

Yes, this is designed for quarterly audits to surface top debt items and create a prioritized backlog. It links debt items to remediation tasks and backlog milestones, enabling targeted refactoring and specification updates for upcoming sprints.

What is the difference between code debt, spec debt, and process debt?

Code debt involves implementation issues, spec debt relates to outdated or missing specifications, and process debt covers workflow inefficiencies. Tracking all three categories provides a holistic view of maintenance work and helps quantify overall risk to deliverables.

When should I schedule technical debt remediation to avoid degraded velocity?

Schedule technical debt remediation during dedicated maintenance windows or post-incident reviews. By quantifying risk and linking debt items to backlog milestones, teams can prioritize high-impact refactoring tasks before silent rot significantly degrades velocity.