ai-skill-manager

To audit an enterprise AI skills catalog, you run a governance workflow that validates descriptions, cross-links, and references to ensure quality and scalable publishing. This process enforces standards for owners and validators before distribution.

Managing an AI skills portfolio requires lifecycle governance to handle split, merge, and deprecate processes. This ensures standardized naming and structure while maintaining publishing readiness across multiple teams.

Yes, you can batch validate AI skill descriptions and references before distribution. The governance workflow audits frontmatter, deduplicates triggers, and ensures code and scripts meet security standards for org-wide publishing.

Enforcing governance workflows with owners and validators involves inventorying the AI agent catalog and applying quality checks. This workflow validates cross-links and packaging readiness to ensure quality before publishing.

Catalog hygiene for AI skills includes validating frontmatter, cross-linking peers, and deduplicating triggers. This standardizes the inventory and enforces quality checks for scalable distribution across the enterprise.