Designs 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.
Install
npx skills add Jeffallan/claude-skills --skill ml-pipelinenpx skills add Jeffallan/claude-skills --skill ml-pipeline -a claude-code -gnpx skills add Jeffallan/claude-skills --skill ml-pipeline -a codex -ggemini skills install https://github.com/Jeffallan/claude-skills.git --path skills/ml-pipelinegh skill install Jeffallan/claude-skills ml-pipelinegit clone --depth 1 https://github.com/Jeffallan/claude-skills /tmp/Jeffallan__claude-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/Jeffallan__claude-skills/skills/ml-pipeline ~/.claude/skills/ml-pipeline # Claude Code
cp -R /tmp/Jeffallan__claude-skills/skills/ml-pipeline ~/.agents/skills/ml-pipeline # Codex, Cursor, Gemini CLI, Copilot, OpenCode