model-versioning-manager

Quick Review

This skill is severely underdeveloped. The description is vague and circular (repeatedly stating 'model versioning manager' without explaining what it does). There is no concrete task knowledge - no code, workflows, or actionable steps for versioning models (e.g., tagging versions, storing metadata, rollback procedures, registry integration). The structure is clean but empty. While model versioning is genuinely useful for ML deployment (preventing a CLI agent from needing to know MLflow/DVC/registry APIs), this implementation provides no actual capability beyond placeholder text. To be useful, it needs concrete scripts for version tagging, metadata tracking, registry operations, and rollback workflows.