skill-usage-audit

To optimize an AI agent's skillset, you can identify and remove dead skills through a skill usage audit that evaluates cron registration, wikilink references, and mtime thresholds to categorize skills as active or dead.

A skill usage audit automates agent maintenance by evaluating skills against cron registration, wikilink references, and mtime thresholds to classify them as dead or active, reducing context menu noise and improving performance.

You can automate skillset maintenance by running a skill usage audit that checks cron registration, wikilink references, and mtime thresholds to regularly identify and categorize dead or active skills for removal.

A skill is categorized as dead or active based on three criteria: cron registration for scheduled tasks, existing wikilink references, and mtime thresholds that indicate recent file modification activity.

Yes, the skill usage audit requires access to the agent's skill directory and related configuration files to accurately evaluate cron registration, wikilink references, and mtime thresholds for skill categorization.

Removing dead skills improves AI agent performance by reducing context menu noise and eliminating unnecessary processing overhead, which streamlines the active skillset for better efficiency and responsiveness.