ML Pipeline Expert

[Documentation](https://jeffallan.github.io/claude-skills/skills/data-ml/ml-pipeline/)

Community View Source →

LLM Evaluation

Evaluated by: xiaomi/mimo-v2-flash:free

Last evaluated: May 17, 2026

Prompt Quality

3.0 /5

Evaluation error: RetryError[]

Usefulness

3.0 /5

Evaluation error: RetryError[]

Overall Rating

3.0 /5

Evaluation failed

Prompt Preview

---
name: ml-pipeline
description: "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. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking s...

Full prompt length: 7229 characters

Tools & Technologies

• Azure
• Docker
• python
• Kubernetes
• kubernetes