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This skill enables Claude to efficiently manage the lifecycle of machine learning models by integrating with the model-versioning-tracker plugin. It simplifies the process of logging new model iterations, tracking critical performance metrics, and maintaining a robust model registry. By automating version control for AI/ML projects, this skill helps developers implement MLOps best practices, trace model lineage, and optimize performance across various deployment environments.