ml-pipeline
Jeffallan/claude-skills
Designs production-grade ML pipeline infrastructure covering experiment tracking, feature stores, DAG orchestration, and automated retraining so teams can reliably version data, tune hyperparameters, and deploy models with tools like MLflow, Kubeflow, Airflow, or Feast.
