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himanshu231204
himanshu231204COMMUNITY
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skill-stocktake

Audit Claude skills and custom commands across global and project directories.

2|Updated May 11, 2026
Search Tags:#claude skills#skill management#quality check#ai tooling#skill audit#change detection#documentation audit
One-click install
npx skills add https://github.com/himanshu231204/AI_Research_agent --skill skill-stocktake-himanshu231204
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-stocktake
Source: https://github.com/himanshu231204/AI_Research_agent/tree/main/.opencode/skills/skill-stocktake
Command: npx skills add https://github.com/himanshu231204/AI_Research_agent --skill skill-stocktake-himanshu231204

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Manually auditing multiple Claude skills and custom commands for quality, overlap, staleness, and alignment with best practices is time-consuming and error-prone, especially when managing skills across global and project-level directories.

Core Features & Use Cases

  • Dual Audit Modes: Quick Scan for recently changed skills (5–10 minutes) and Full Stocktake for complete library reviews (20–30 minutes) to fit different workflow needs.
  • Holistic Quality Evaluation: Uses a standardized checklist and AI-powered judgment to assign actionable verdicts (Keep, Improve, Update, Retire, Merge) based on content uniqueness, technical freshness, usage frequency, and overlap with other skills or project memory files.
  • Automated Inventory Tracking: Scans skill directories to extract frontmatter, track modification times, and count usage frequency from observation logs for data-driven prioritization. Use case: A developer with 30+ custom Claude skills can run a Full Stocktake to identify outdated skills, merge overlapping ones, and retire stale entries to keep their skill library lean and effective.

Quick Start

Run the /skill-stocktake slash command from your project root to audit all global and project-level Claude skills, or add the full parameter to trigger a complete review instead of the default quick scan of only changed skills.

Frequently Asked Questions about skill-stocktake

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

FAQPage Schema
How do I audit Claude skills for quality and consistency?▼

To audit Claude skills for quality and consistency, you can run an automated inventory scan that evaluates content uniqueness, technical freshness, and usage frequency against a standardized checklist to generate actionable verdicts.

What is the best way to detect overlapping or stale custom commands in my project directory?▼

Detecting overlapping or stale custom commands is handled by an automated stocktake that scans global and project-level directories, extracts frontmatter, tracks modification times, and identifies overlaps with project memory files to recommend merges or retirements.

Can I perform a quick quality check on recently changed AI tooling without reviewing my entire library?▼

Yes, you can perform a quick scan quality check that specifically targets recently changed AI tooling in 5 to 10 minutes, providing an efficient alternative to a full library review for rapid workflows.

Do I need jq installed to run a skill library management audit?▼

Yes, jq is a required dependency for executing the skill library management audit, as the underlying scripts rely on it to parse and extract frontmatter from the scanned skill directories.

What actionable outcomes can I expect from a full stocktake of my Claude skills?▼

A full stocktake of your Claude skills generates actionable verdicts such as Keep, Improve, Update, Retire, or Merge, and provides consolidation recommendations to keep your skill library lean and effective.

How does automated change detection prioritize technical documentation audits?▼

Automated change detection prioritizes technical documentation audits by tracking modification times and counting usage frequency from observation logs, ensuring data-driven prioritization of outdated or heavily used skills.

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