
Technical Debt Assessment
This gives you a structured way to catalog and prioritize technical debt instead of just complaining about it in standups. It scores debt items by severity, effort, and business impact, then calculates which fixes give you the best ROI. The approach covers code smells, architectural issues, missing tests, and security holes. Works well when you're planning refactoring sprints, evaluating a codebase for acquisition, or trying to convince management that yes, you really do need to fix that legacy authentication system. The quantification angle is honest: you're trading guesswork for something you can actually defend in a planning meeting.
- skills.sh installs
- 509
- GitHub stars
- 379
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill technical-debt-assessment --agent claude-codeInstalls into .claude/skills of the current project.
Files
Technical Debt Assessment
Table of Contents
Overview
Systematically identify, measure, and manage technical debt to make informed decisions about code quality investments.
When to Use
- Legacy code evaluation
- Refactoring prioritization
- Sprint planning
- Code quality initiatives
- Acquisition due diligence
- Architectural decisions
Quick Start
Minimal working example:
interface DebtItem {
id: string;
title: string;
description: string;
category: "code" | "architecture" | "test" | "documentation" | "security";
severity: "low" | "medium" | "high" | "critical";
effort: number; // hours
impact: number; // 1-10 scale
interest: number; // cost per sprint if not fixed
}
class TechnicalDebtAssessment {
private items: DebtItem[] = [];
addDebtItem(item: DebtItem): void {
this.items.push(item);
}
Sponsors
Details
- Repository
- github.com/aj-geddes/useful-ai-prompts
- Categories
- Code Review & Quality, AI & Agent Building, Productivity & Planning
- First seen
- Jun 3, 2026
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