Is the debt tracking data exportable?

Yes, the skill maintains a Debt Inventory in a standardized JSON format, making it easy to integrate with other project management tools or custom dashboards.

Does it support automated scanning?

The Debt Scanner tool uses AST parsing and pattern matching to automatically identify structural issues, complexity metrics, and common anti-patterns within your codebase.

Can this skill help with legacy code migration?

Yes, it includes built-in guidance for refactoring strategies like the Strangler Fig pattern and Branch by Abstraction to safely replace legacy components.

What categories of technical debt does this skill cover?

The skill identifies six specific types of debt: Code, Architecture, Test, Documentation, Dependency, and Infrastructure debt.

How does the Tech Debt Tracker calculate priority?

It uses a cost-of-delay framework that calculates an 'Interest Rate' by multiplying the impact score by the frequency of developer encounter, helping teams fix the most expensive debt first.

Tech Debt Tracker

Name: Tech Debt Tracker
Author: oabdelmaksoud

byoabdelmaksoud

0•

Analytics & Monitoring

Identifies, analyzes, and prioritizes technical debt using data-driven frameworks to maintain high engineering velocity.

The Tech Debt Tracker is a comprehensive engineering process automation skill designed to identify hidden architectural shortcuts, testing gaps, and code rot within software projects. By applying advanced classification frameworks and severity scoring—including interest rate calculations and cost-of-delay analysis—it enables teams to transition from reactive fixing to strategic technical debt management. Whether you're dealing with a legacy monolith or managing modern dependencies, this skill provides the tools to balance new feature development with critical maintenance work through actionable insights and standardized debt inventory tracking.

Key Features

01Standardized debt inventory management with structured JSON metadata

02Integrated refactoring strategies including Strangler Fig and Branch by Abstraction

03Multi-dimensional debt scanning across code, architecture, and infrastructure

040 GitHub stars

05Automated severity scoring based on velocity, quality, and business impact

06Cost-of-delay and interest rate prioritization engine

Use Cases

01Prioritizing engineering backlog items based on their 'interest rate' and impact on team velocity

02Conducting a comprehensive technical audit of a legacy codebase before major refactoring

03Tracking documentation and test coverage gaps across rapidly growing microservices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/superclaw tech-debt-tracker

For use in Claude.ai and ChatGPT

Key Features

01Standardized debt inventory management with structured JSON metadata

02Integrated refactoring strategies including Strangler Fig and Branch by Abstraction

03Multi-dimensional debt scanning across code, architecture, and infrastructure

040 GitHub stars

05Automated severity scoring based on velocity, quality, and business impact

06Cost-of-delay and interest rate prioritization engine

Use Cases

01Prioritizing engineering backlog items based on their 'interest rate' and impact on team velocity

02Conducting a comprehensive technical audit of a legacy codebase before major refactoring

03Tracking documentation and test coverage gaps across rapidly growing microservices