forensic-refactoring-roi

Community

Prioritize refactoring ROI with data.

AuthorAlabamaMike
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps software teams quantify and prioritize the return on investment for refactoring efforts by combining debt costs, hotspots, and complexity data into a clear ROI model.

Core Features & Use Cases

  • ROI calculation: computes investment, annual savings, break-even, and risk-adjusted ROI for each refactoring candidate.
  • Data integration: uses inputs from debt-quantification and hotspot analyses to rank priorities.
  • Roadmap guidance: generates phased plans and recommended actions for quick wins and strategic refactors.
  • Real-world example: given a backlog of debt items, identify top candidates with the highest ROI and fastest payback.

Quick Start

Use this Skill to compute ROI for a set of refactoring candidates by combining inputs from forensic-debt-quantification and forensic-hotspot-finder, and produce a prioritized Phase 1 quick-wins roadmap.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: forensic-refactoring-roi
Download link: https://github.com/AlabamaMike/forensic-skills/archive/main.zip#forensic-refactoring-roi

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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