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ML pipelines, experiment tracking and model registry v1.0.0

Use this resource to set up ML pipelines, experiment tracking and a model registry

New

  • 329 downloads
  • 112 likes
  • 148 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install mlops-pipelines-registry

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 designs pipeline orchestration, experiment tracking, model version management and the supporting infrastructure, taking the cloud environment and containers into account. You get an MLOps architecture usable in production.

Mostly picked by

Updated November 2, 2026

Card for the “ML pipelines, experiment tracking and model registry” skill

Details

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

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What you get

  • SKILL.md: pipeline orchestration, tracking and model registry
  • SKILL.md: cloud, Kubernetes, infrastructure as code and data pipeline expertise

Good fit for

  • Your models are trained by hand with no version tracking
  • You want to industrialise moving a model to production

Not for

    Tags

    • mlops
    • mlflow
    • pipelines

    About

    You say

    “Design an MLflow pipeline to track my experiments and version my forecasting models.”

    Card for the “ML pipelines, experiment tracking and model registry” skill

    Skill published by sickn33 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 set up ML pipelines, experiment tracking and a model registry
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md11 KB

    Origin and licence

    Listed unmodified

    Author
    sickn33
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/mlops-engineer
    Licence
    MIT

    Notice

    « mlops-engineer » (sickn33, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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