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Machine learning pipeline automation v1.0.0

Use this resource to orchestrate the steps of a machine learning model with Airflow, Kubeflow and MLflow

New

  • 542 downloads
  • 108 likes
  • 175 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ml-pipeline-orchestration-2

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent writes the DAG that chains data, training and deployment, sets up MLflow to track experiments, then schedules retraining. You get a reproducible, monitored pipeline.

Mostly picked by

Updated November 2, 2026

Card for the “Machine learning pipeline automation” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md : Airflow DAG, installation and scheduler startup
  • references/kubeflow-mlflow.md : Kubeflow pipelines and MLflow tracking

Good fit for

  • Your model must be retrained weekly without manual steps
  • Experiments are hard to compare because they are not tracked

Not for

    Tags

    • pipeline
    • airflow
    • mlflow
    • mlops

    About

    You say

    “Create an Airflow DAG that chains data preparation, training and evaluation with MLflow.”

    Card for the “Machine learning pipeline automation” skill

    Skill published by secondsky under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to orchestrate the steps of a machine learning model with Airflow, Kubeflow and MLflow
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/airflow-patterns.md11.1 KB
    • references/kubeflow-mlflow.md15.6 KB
    • references/pipeline-monitoring.md19.4 KB
    • SKILL.md13 KB

    Origin and licence

    Listed unmodified

    Author
    secondsky
    Source
    github.com/secondsky/claude-skills/tree/88378361314f558fb719aec0af9fd898ab36f0b2/plugins/ml-pipeline-automation/skills/ml-pipeline-automation
    Licence
    MIT

    Notice

    « ml-pipeline-automation » (secondsky, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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