skill-stocktake

Evaluate Claude skills and commands for quality and technical relevance.

1|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/zero3041/PREP --skill skill-stocktake-zero3041
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-stocktake
Source: https://github.com/zero3041/PREP/tree/main/.claude/skills/skills/skill-stocktake
Command: npx skills add https://github.com/zero3041/PREP --skill skill-stocktake-zero3041

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for a thorough review of Claude's skills and commands to ensure quality, accuracy, and relevance. It supports both Quick Scan and Full Stocktake modes to assess changes and complete reviews respectively.

Core Features & Use Cases

  • Quick Scan: Identifies and evaluates only recently changed skills for quick quality checks.
  • Full Stocktake: Conducts a complete review of all skills and commands for a holistic assessment.
  • Subagent Batch Evaluation: Utilizes Agent tool subagents to evaluate skills sequentially.

Quick Start

Run /skill-stocktake quick to perform a quick scan of recent changes. For a full review, execute /skill-stocktake full.

Frequently Asked Questions about skill-stocktake

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

FAQPage Schema
How do I audit AI skills and commands for quality and actionability?

You can audit AI skills and commands using a comprehensive checklist and AI holistic judgment to evaluate content overlap, technical reference freshness, usage frequency, and actionability.

What is the best way to check the quality of recently changed AI commands?

A quick scan mode identifies and evaluates only recently changed AI commands, providing a rapid quality check for content overlap and actionability without reviewing the entire inventory.

How does a full skill stocktake evaluate technical reference freshness?

A full skill stocktake conducts a complete review of all commands, assessing technical reference freshness and usage frequency sequentially through subagent batch evaluation to ensure holistic quality.

Can I use subagent batch evaluation to assess command usage frequency at scale?

Yes, subagent batch evaluation utilizes Agent tool subagents to assess command usage frequency and quality sequentially, supporting both quick scans and comprehensive full stocktakes.

When should I perform a full command quality assessment instead of a quick scan?

Perform a full command quality assessment when you need a complete holistic review of all skills for content overlap and accuracy, rather than just evaluating recent changes.

Why does my AI command evaluation show content overlap and low actionability?

AI command evaluation identifies content overlap and low actionability by performing comprehensive reviews using a dedicated checklist and AI holistic judgment across the skill inventory.