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Patasse97
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tech-debt-tracker

Scan codebases for technical debt and prioritize backlog items.

Updated Apr 9, 2026
Search Tags:#dashboard#prioritization#engineering#scanning#technical#debt
One-click install
npx skills add https://github.com/Patasse97/claude-skills --skill tech-debt-tracker-patasse97
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tech-debt-tracker
Source: https://github.com/Patasse97/claude-skills/tree/main/engineering/tech-debt-tracker
Command: npx skills add https://github.com/Patasse97/claude-skills --skill tech-debt-tracker-patasse97

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Tech Debt Tracker enables engineering teams to identify, quantify, and manage technical debt across codebases, turning maintenance chaos into data-driven remediation.

Core Features & Use Cases

  • Automated Debt Scanner detects debt signals in codebases, surfaces inventories, and surfaces actionable items.
  • Debt Prioritizer analyzes impact and effort to produce a prioritized backlog using CoD, WSJF, and RICE styles.
  • Debt Dashboard tracks debt trends, velocity, and risk, delivering executive summaries to guide decisions.
  • Use Case: A growing product team wants to reduce maintenance costs while maintaining feature velocity across multiple services.

Quick Start

Run the Debt Tracker against your codebase to generate a debt inventory, prioritize items, and review trends in the dashboard.

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 track technical debt across multiple codebases?▼

To identify and track technical debt across multiple codebases, run an automated debt scanner to generate a codebase inventory. This surfaces actionable debt items for engineering teams auditing multiple services and tracking remediation progress across sprints.

What is the best way to prioritize a technical debt backlog?▼

The best way to prioritize a technical debt backlog is by analyzing impact and effort using established frameworks. This skill calculates priorities using Cost of Delay, WSJF, and RICE methodologies to rank items based on risk and value.

How do I visualize technical debt trends for engineering decision making?▼

Visualize technical debt trends using a dedicated dashboard that tracks debt velocity and risk over time. The dashboard provides executive summaries and trend analysis to guide data-driven maintenance decisions across releases.

Can I use this technical debt tracker for a growing team balancing maintenance costs and feature velocity?▼

Yes, this technical debt tracker is applicable for growing product teams balancing maintenance costs and feature velocity. It helps audit multiple services, prioritize remediation items, and track progress to reduce maintenance chaos without halting development.

What frameworks does the debt prioritizer use to calculate backlog rankings?▼

The debt prioritizer uses Cost of Delay, WSJF, and RICE frameworks to calculate backlog rankings. It analyzes the impact and effort of debt items to produce a prioritized list for sprint planning and remediation tracking.

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