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techdebt-finder

Detects duplicated code and inconsistent patterns, then outputs a prioritized Technical Debt Report.

35|2|Updated Jan 12, 2026
Search Tags:#refactoring#code-quality#duplication#static-analysis#pattern-detection#code-debt
One-click install
npx skills add https://github.com/spences10/claude-code-toolkit --skill techdebt-finder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: techdebt-finder
Source: https://github.com/spences10/claude-code-toolkit/tree/main/plugins/devops-skills/skills/techdebt-finder
Command: npx skills add https://github.com/spences10/claude-code-toolkit --skill techdebt-finder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Identifies duplicated code, inconsistent patterns, and refactoring opportunities to improve code health and maintainability.

Core Features & Use Cases

  • Detect duplicated code blocks and pattern inconsistencies across files
  • Cluster related issues and rank by frequency and impact
  • Generate a prioritized Technical Debt Report with suggested refactors and owners

Quick Start

Point the toolkit at your repository to surface debt findings and actionable refactoring recommendations.

Frequently Asked Questions about techdebt-finder

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

FAQPage Schema
How do I identify duplicated code and refactoring opportunities across a multi-file project?▼

To identify duplicated code and refactoring opportunities, you analyze a multi-file codebase using pattern matching and clustering. This detects inconsistent patterns and ranks debt by frequency and impact to guide maintenance sprints.

What is code debt detection and when do I need it for code reviews?▼

Code debt detection is the process of finding duplicated blocks and inconsistent patterns across a codebase. You need it for pre-refactor analysis and code reviews to improve overall code health and maintainability.

Does static analysis for code debt work with both TypeScript and Python repositories?▼

Yes, static analysis for code debt is applicable to multi-file projects in languages like TypeScript, JavaScript, and Python. It detects inconsistent patterns and duplication across these codebases to generate actionable refactoring recommendations.

How do I generate a prioritized technical debt report with suggested fixes?▼

You generate a prioritized technical debt report by pointing the analysis toolkit at your repository. It clusters related issues, ranks them by impact into high, medium, and low priorities, and outputs structured refactoring suggestions with owners.

What is the best way to prioritize code maintenance tasks across a large codebase?▼

The best way to prioritize code maintenance tasks is to use static analysis that clusters related issues and ranks them by frequency and impact. This generates a structured report highlighting high-priority refactoring opportunities with suggested fixes.

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