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qa-tech-debt

Detect, categorize, and prioritize technical debt with impact-effort matrices.

5|Updated Jan 15, 2026
Search Tags:#code quality#refactoring#metrics#software maintenance#tech debt
One-click install
npx skills add https://github.com/christopherlouet/claude-base --skill qa-tech-debt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: qa-tech-debt
Source: https://github.com/christopherlouet/claude-base/tree/main/.claude/skills/qa-tech-debt
Command: npx skills add https://github.com/christopherlouet/claude-base --skill qa-tech-debt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Teams struggle to identify, categorize, and plan remediation for accumulated technical debt, leading to maintenance overload and degraded code quality.

Core Features & Use Cases

  • Debt Identification: Detect code smells, complex modules, and outdated dependencies using static commands.
  • Impact & Effort Categorization: Classify debt items by severity and estimated effort for resolution.
  • Prioritization & Planning: Use impact-effort matrices to create actionable remediation plans for development teams.

Quick Start

Review the example markdown file to understand how to list and prioritize your technical debt items.

Frequently Asked Questions about qa-tech-debt

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

FAQPage Schema
How do I prioritize technical debt in a software project?▼

Prioritize technical debt by classifying items using an impact-effort matrix, categorizing each item by severity and estimated resolution effort to create an actionable remediation plan. This structured method reduces codebase risks and improves maintainability.

What is the best way to detect code smells and outdated dependencies for maintenance planning?▼

Detect code smells and outdated dependencies using static analysis commands to identify complex modules. This technical debt identification process provides the foundational data needed to systematically reduce maintenance overload and degraded code quality.

Can I use static analysis metrics to categorize technical debt by impact and effort?▼

Yes, you can use static analysis metrics to categorize technical debt by classifying detected code smells and complex modules by severity and estimated resolution effort. This categorization enables structured prioritization for development teams.

How do I create an actionable refactoring plan for accumulated technical debt?▼

Create an actionable refactoring plan by mapping categorized technical debt items onto an impact-effort matrix. Use this matrix to sequence remediation tasks, ensuring systematic reduction of codebase risks and improved software maintainability.

What are the limitations of managing technical debt without structured detection and categorization?▼

Without structured technical debt detection and categorization, teams face maintenance overload and degraded code quality due to unmanaged accumulation. Lacking impact-effort prioritization leads to reactive fixes rather than systematic remediation planning.

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