skill-stocktake

Audit AI skill directories for stale or redundant content.

Updated Jul 8, 2026

Search Tags:#automation #optimization #audit #maintenance #quality-assurance #inventory

Ready to run

npx skills add https://github.com/nazrulsoftwaredev/NIT_CRM_2 --skill skill-stocktake-nazrulsoftwaredev

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-stocktake
Source: https://github.com/nazrulsoftwaredev/NIT_CRM_2/tree/main/.agents/skills/skill-stocktake
Command: npx skills add https://github.com/nazrulsoftwaredev/NIT_CRM_2 --skill skill-stocktake-nazrulsoftwaredev

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, AI-driven audit process to ensure your agent's capabilities remain performant and relevant.

Core Features & Use Cases

Automated Inventory: Scans global and project-level directories to catalog all available skills and their usage frequency.
Holistic Quality Evaluation: Uses subagent-based judgment to evaluate skills against a rigorous checklist, identifying candidates for retirement, merging, or improvement.
Quick Scan Mode: Efficiently re-evaluates only the skills that have changed since the last audit, saving time and compute resources.

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 an AI skill library for stale or redundant content?▼

You can audit an AI skill library by running an automated inventory process that scans directories, evaluates quality, and identifies stale or redundant skills for retirement or merging.

What is the best way to inventory AI skills across global and project directories?▼

The best way to inventory AI skills is using automated file system traversal to catalog available units, compare modification times, and evaluate usage frequency across both global and project-specific directories.

Does the skill audit process require jq for JSON processing?▼

Yes, the skill audit process requires jq for JSON processing alongside standard Unix utilities to handle file system traversal and modification time comparison during the inventory.

How do I re-evaluate only changed AI skills since the last audit?▼

You can re-evaluate only changed AI skills by using a quick scan mode that efficiently targets modified files, saving time and compute resources compared to a full audit.

When should I use an AI-driven quality evaluation for my skill repository?▼

You should use AI-driven quality evaluation when your repository accumulates stale or low-quality skills, requiring a systematic audit process to ensure agent capabilities remain performant and relevant.

Can I identify candidates for skill retirement or merging through automated inventory?▼

Yes, you can identify retirement or merging candidates by using subagent-based judgment to evaluate skills against a rigorous checklist during the automated inventory process.