model-lifecycle-manager

Features and purpose

Use when managing AI/ML models in production. Use after model deployed. Produces model registry entries, drift detection schedules, retraining triggers, and version management workflows.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.