소개
This skill integrates with the model-versioning-tracker plugin to provide Claude with the ability to maintain a robust model registry. It automates the logging of model metadata, version history, and performance benchmarks, ensuring that machine learning development is reproducible and organized. Whether you are comparing performance metrics between versions or establishing a clear lineage for audit trails, this skill streamlines the MLOps process directly from the command line, facilitating better model deployment and lifecycle management.
