skill-stocktake

Audit AI skill directories and categorize skills for maintenance.

1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/its-Basudeba/Care-HMS --skill skill-stocktake-its-basudeba
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-stocktake
Source: https://github.com/its-Basudeba/Care-HMS/tree/main/.agent/skills/skill-stocktake
Command: npx skills add https://github.com/its-Basudeba/Care-HMS --skill skill-stocktake-its-basudeba

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq, and includes scripts (resource) components.

What problem does it solve?

This skill addresses the accumulation of stale, redundant, or low-quality AI skills by providing a systematic, automated audit process to ensure your library remains lean and effective.

Core Features & Use Cases

  • Automated Inventory: Scans global and project-level directories to catalog all available skills and their usage frequency.
  • Quality Evaluation: Uses AI-driven holistic judgment to categorize skills as Keep, Improve, Update, Retire, or Merge.
  • Use Case: Run a full stocktake at the end of every month to identify unused skills that are cluttering your context window and to receive actionable suggestions for improving your most-used automation scripts.

Quick Start

Run the skill-stocktake command from your project root to initiate a full audit of all available skills and generate a comprehensive quality report.

Frequently Asked Questions about skill-stocktake

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

FAQPage Schema
How do I audit and optimize my AI skill library for stale or redundant automation scripts?

You can inventory unused AI skills by running an automated scan of your global and project-level directories. The scan evaluates usage frequency and categorizes skills as Keep, Improve, Update, Retire, or Merge.

How does automated quality evaluation work for maintaining repository automation assets?

Automated quality evaluation uses AI-driven holistic judgment to assess the relevance and usage of your automation assets. It targets skill directories to identify high-value units and flags stale or redundant ones for retirement or merging.

Can I use this skill-stocktake to catalog project-specific skills alongside global directories?

Yes, you can catalog both project-specific and global skills simultaneously. The inventory scanning process targets both directory types to ensure a comprehensive audit of all your available automation assets and their usage frequency.

Do I need jq installed to run an inventory scan of my AI skills?

Yes, you need jq installed as a dependency to run the inventory scan scripts. The skill utilizes these scripts to parse and evaluate the quality, relevance, and usage of AI skill units within your repository.

What is the best way to identify and retire low-quality AI skills cluttering my context window?

The best way to identify low-quality AI skills is to run a full stocktake audit from your project root. This generates a comprehensive quality report categorizing unused skills and providing actionable suggestions for retirement.