Designs production-grade ML pipeline infrastructure with experiment tracking, Kubeflow/Airflow DAGs, feature store schemas, model registries, and automated retraining workflows.
Scanned 6/6/2026
Install to Claude Code
Skills Directorynpx -y skills add paperclipai/companies --skill ml-pipeline --agent claude-codeInstalls into .claude/skills of the current project.
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---
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
---
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