ml-pipeline

Maintained by jeffallan

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

Current version: Unknown
License: MIT
Network access: Unknown / not assessed
Review status: Not verified

Problem it solves

This catalog entry helps users find and evaluate ml-pipeline for the task described by its available catalog summary. Confirm the exact scope in the linked original source when one is available.

When to use it

Consider ml-pipeline when its available catalog summary matches the task at hand. When available, review the linked original source before use for precise instructions, requirements, and limitations.

ml-pipeline is listed as an agent skill in RefHub. The listed maintainer is jeffallan. The available catalog summary is: 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 When available, review the linked original source for exact usage instructions, required tools, and limitations.

Installation and updates

These commands are displayed for copying only and are never executed on RefHub servers. Review the linked upstream source before running them.

Install command

npx skills add jeffallan/claude-skills --skill ml-pipeline -y

Agent compatibility

No compatibility test has been recorded

Do not assume agent compatibility until documented test evidence is available.