Model Registry Governance Create a trustworthy system of record for model artifacts, prompts, adapters, and evaluation evidence. When to Use This Skill - Setting up a centralized model registry for your organization - Defining metadata standards for model artifacts - Building approval workflows for model promotion to production - Implementing lifecycle policies for model retirement - Preparing for compliance audits of AI systems Prerequisites - MLflow Tracking Server or Weights & Biases instance deployed - Object storage for model artifacts (S3, GCS, or MinIO) - CI/CD pipeline with access to…