---
name: ml-pipeline
description: >
  Designs production-grade ML pipeline infrastructure with experiment tracking, Kubeflow/Airflow DAGs, feature store schemas, model registries, and automated retraining workflows.
metadata:
  sources:
    - kind: github-file
      repo: jeffallan/claude-skills
      path: skills/ml-pipeline/SKILL.md
      commit: 3bf9a24b76a7c122f1fc05e83929fbc84e1c207a
      attribution: Jeffallan
      license: MIT
      usage: referenced
source: https://app.decimal.ai/s/paperclipai-ml-pipeline@1/SKILL.md
source_sha256: 2ab9932bf6f8
---