skill-stocktake

You can audit AI skills and commands by running an automated evaluation that checks content overlap, reference freshness, and usage frequency to identify outdated or low-performing entries in your toolset.

A quick scan evaluates recently changed files, while a full stocktake performs a comprehensive review of all AI commands and skills to ensure complete quality and efficiency coverage.

You identify redundant AI skills by evaluating them for content overlap and usage frequency, using sequential subagent batch evaluation to detect overlapping functionalities across your toolset.

Yes, you can check reference freshness automatically by running a skill audit that evaluates your AI commands against a defined checklist to ensure all references remain current and valid.

Yes, the skill stocktake operates entirely through internal scripts without external dependencies, allowing you to perform automated quality assurance and maintenance checks directly.

You should run a comprehensive full stocktake instead of a quick scan when you need to evaluate the entire toolset for efficiency and relevance, rather than just reviewing recent file changes.