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ThejanaJayalath
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skill-stocktake

Scan AI skill directories and evaluate metadata quality against standardized benchmarks.

Updated Jan 30, 2026
Search Tags:#automation#optimization#audit#maintenance#quality-assurance#inventory
One-click install
npx skills add https://github.com/ThejanaJayalath/Niolla-PM-system --skill skill-stocktake-thejanajayalath
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-stocktake
Source: https://github.com/ThejanaJayalath/Niolla-PM-system/tree/main/.cursor/skills/skill-stocktake
Command: npx skills add https://github.com/ThejanaJayalath/Niolla-PM-system --skill skill-stocktake-thejanajayalath

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, actionable, and current.

Core Features & Use Cases

  • Automated Inventory: Scans global and project-level directories to catalog all available skills and their metadata.
  • Quality Evaluation: Uses AI-driven holistic judgment to verify skill relevance, freshness, and technical accuracy against a standardized checklist.
  • Lifecycle Management: Supports Quick Scan for rapid updates and Full Stocktake for comprehensive reviews, including automated recommendations to Keep, Improve, Update, Retire, or Merge skills.

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 a large collection of AI skills?▼

Auditing AI skills involves scanning global and project-level directories to catalog metadata, then evaluating relevance, freshness, and technical accuracy against a standardized checklist to recommend keeping, improving, updating, retiring, or merging skills.

What is the best way to clean up stale or redundant AI commands in my project?▼

Cleaning up stale AI commands requires a systematic audit process that evaluates skill relevance, freshness, and technical accuracy against standardized benchmarks to identify and retire redundant or outdated entries.

Do I need jq installed to scan directories and evaluate AI skill quality?▼

Yes, jq is required for JSON processing during the AI skill audit, alongside standard Unix utilities for file system traversal and timestamp comparison to complete the quality evaluation.

Can I run a quick scan for rapid updates instead of a full AI skill library review?▼

Yes, a Quick Scan mode supports rapid updates and metadata cataloging, offering a faster alternative to the comprehensive Full Stocktake review for managing AI skill libraries.

When should I perform a full stocktake versus a quick scan on my AI skill library?▼

Perform a full stocktake for comprehensive reviews and lifecycle management, while using a quick scan for rapid updates to catalog available skills and metadata without deep quality evaluation.

What maintenance workflows does an automated AI skill inventory support?▼

Automated AI skill inventory supports maintenance workflows for managing large collections of project-specific and global AI commands by generating lifecycle recommendations to keep, improve, update, retire, or merge skills.

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