Claude Skills · DevOps & Infrastructure
ML Pipeline
Jeffallan/claude-skillsDesigns and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for data versioning, tuning hyperparameters, or configuring MLOps tooling like Kubeflow, Airflow, MLflow, or Pref...
At a glance
This skill is for DevOps & Infrastructure and helps you set up experiment tracking with mlflow or weights & biases, design and implement ml pipeline infrastructure, and create training orchestration dags with airflow or kubeflow.
/plugin marketplace add Jeffallan/claude-skills
/plugin install ml-pipeline
Setup, runtime and requirements describe Jeffallan/claude-skills, the repo this skill ships in.
MlflowairflowkubeflowFeastmlopsModel Deployment
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