Apache Airflow · MLOps

Guides an agent through designing an MLOps pipeline that covers data preparation, training, validation and deployment, with DAG orchestration and reference guides.

wshobson/agents

Designs ML pipeline infrastructure: experiment tracking with MLflow or Weights & Biases, Kubeflow and Airflow orchestration, Feast feature stores and model validation gates.

Jeffallan/claude-skills

Data pipelines, feature stores, and embedding generation for AI/ML systems.

ancoleman/ai-design-components

Strategic guidance for operationalizing machine learning models from experimentation to production.

ancoleman/ai-design-components

Automate ML workflows with Airflow, Kubeflow, MLflow. An agent skill from secondsky/claude-skills.

secondsky/claude-skills