tech-debt

Name: tech-debt
Availability: InStock
Author: lekay

Scan codebases for technical debt indicators and maintain a debt register.

Updated May 24, 2026

Search Tags:#technical debt #reporting #codebase management #scanning #register

Ready to run

npx skills add https://github.com/LeKay/ai-game --skill tech-debt-lekay

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tech-debt
Source: https://github.com/LeKay/ai-game/tree/main/.claude/skills/tech-debt
Command: npx skills add https://github.com/LeKay/ai-game --skill tech-debt-lekay

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill manages and prioritizes technical debt across your codebase, providing insights into debt indicators and suggesting repayment strategies.

Core Features & Use Cases

Tech Debt Scanning: Automatically identify and categorize technical debt indicators.
Debt Register Management: Maintain a comprehensive register of debt entries, with descriptions, categories, and priority levels.
Prioritization & Reporting: Score and prioritize debt items, and generate reports to track progress and trends.

Quick Start

Run the tech-debt skill with the 'scan' command to automatically identify technical debt in your codebase.

Frequently Asked Questions about tech-debt

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

FAQPage Schema

How do I automate technical debt scanning across my codebase?▼

Automate technical debt scanning by running the skill with the 'scan' command to identify and categorize debt indicators. It uses Python scripts to analyze the codebase and automatically flag technical debt for management.

What is the best way to maintain a technical debt register for a large project?▼

The best way to maintain a technical debt register is to use a tool that automatically logs debt entries with descriptions, categories, and priority levels. This skill structures your debt records to track progress and trends over time.

How does technical debt prioritization and reporting work?▼

Technical debt prioritization works by scoring debt items based on scanned indicators and assigning priority levels. The reporting feature then aggregates these entries to track repayment progress and visualize debt trends.

Do I need Python to scan and categorize codebase debt indicators?▼

Yes, you need Python to scan and categorize codebase debt indicators. The skill relies on Python scripts to execute the scanning logic and categorize technical debt within your codebase management tools.

Can I integrate technical debt reporting with my existing codebase management tools?▼

Yes, you can integrate technical debt reporting with your existing codebase management tools. The skill operates via a CLI interface designed to connect with your current codebase workflows and tooling.

What are the limitations of automating technical debt management with scripts?▼

A limitation of automating technical debt management with scripts is that it requires a Python environment and relies on predefined indicators. It categorizes detected debt but requires manual review to validate suggested repayment schedules.