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tech-debt

Identify, classify, and prioritize technical debt items from engineering data sources.

1|Updated Feb 3, 2026
Search Tags:#planning#prioritization#engineering#technical#debt#paydown
One-click install
npx skills add https://github.com/sahin/claude-skills --skill tech-debt-sahin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tech-debt
Source: https://github.com/sahin/claude-skills/tree/main/tech-debt
Command: npx skills add https://github.com/sahin/claude-skills --skill tech-debt-sahin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Track, prioritize, and plan technical debt paydown with impact-based classification, enabling engineering teams to reduce risk and accelerate delivery.

Core Features & Use Cases

  • Debt Identification: surface technical debt from code reviews, incidents, and documentation gaps.
  • Debt Classification (Fowler Quadrant): categorize debt as Deliberate vs Inadvertent and Reckless vs Prudent.
  • Impact Assessment: evaluate blocking features, incidents, development speed, onboarding, and growth of debt.
  • Prioritization: compute a priority score and schedule paydown.
  • Paydown Planning: allocate sprint capacity, bundle related items, and track progress.

Quick Start

Identify, classify, and prioritize the top technical debt items for the current project and generate a paydown plan.

Frequently Asked Questions about tech-debt

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

FAQPage Schema
How do I prioritize technical debt paydown across multiple codebases?▼

Technical debt prioritization applies impact-based classification, evaluating blocking features, incidents, and development speed to compute a priority score and schedule paydown across systems.

What is the best way to classify technical debt items from incident post-mortems?▼

Classifying technical debt uses the Fowler Quadrant model to categorize items as Deliberate vs Inadvertent and Reckless vs Prudent, surfacing debt from incidents, code reviews, and documentation gaps.

How do I plan sprint capacity for engineering debt paydown?▼

Planning debt paydown allocates sprint capacity by bundling related technical debt items, tracking progress, and scheduling prioritized tasks to reduce risk and accelerate delivery.

Can I use engineering health metrics to drive technical debt prioritization?▼

Yes, technical debt prioritization loads health metrics from engineering scorecards, architecture context, and runway data to drive impact assessment and prioritize paydown plans.

Does technical debt planning require a specific tech stack configuration?▼

Technical debt planning loads architecture context from tech stack files and debt registries, requiring engineering data sources to accurately assess impact and schedule paydown.

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