skill-stocktake

Audit AI skill libraries for redundancies, stale references, and quality gaps.

1|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/vrcms/everything-qwen-code --skill skill-stocktake-vrcms
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-stocktake
Source: https://github.com/vrcms/everything-qwen-code/tree/main/.qwen/skills/skill-stocktake
Command: npx skills add https://github.com/vrcms/everything-qwen-code --skill skill-stocktake-vrcms

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 auditing framework to ensure your library remains lean, actionable, and up-to-date.

Core Features & Use Cases

  • Quality Auditing: Evaluates skills against a rigorous checklist including content overlap, technical freshness, and usage frequency.
  • Automated Inventory: Scans global and project-level directories to generate a comprehensive status report of all available skills.
  • Lifecycle Management: Supports intelligent decision-making for keeping, improving, updating, retiring, or merging skills based on holistic AI judgment.

Quick Start

Run the skill-stocktake command in your project root to perform a full audit of all available skills and generate a 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 my AI skill library for redundancies and stale references?

To audit an AI skill library, run an automated scan across global and project-specific directories to identify redundancies, stale references, and quality gaps, generating a comprehensive status report for maintenance recommendations.

What is the best way to optimize AI workflow instructions and manage their lifecycle?

Optimizing AI workflow instructions involves evaluating skills against a checklist for content overlap, technical freshness, and usage frequency to support intelligent decisions on keeping, improving, merging, or retiring them.

Do I need jq installed to perform an automated skill inventory scan?

Yes, jq is a required dependency for performing the automated skill inventory scan, as it is utilized to parse data and evaluate quality across global and project-level directories.

Can I evaluate AI skill quality gaps across multiple project directories?

Yes, you can evaluate AI skill quality across multiple scopes by scanning both global and project-specific directories to generate a comprehensive inventory and identify actionable maintenance improvements.

What criteria are used to evaluate AI skills during a maintenance audit?

The maintenance audit evaluates AI skills using a rigorous checklist that includes content overlap, technical freshness, and usage frequency to provide actionable lifecycle management recommendations.