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ML engineer agent: training to production v1.0.0

Use this resource to design a model lifecycle, from training to production

New

  • 367 downloads
  • 218 likes
  • 179 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ml-model-lifecycle-engineer

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 takes an ML engineer role: it frames the training pipeline, validation, deployment and drift monitoring. You get tooling choices (MLflow, Kubeflow, scikit-learn, Optuna) and performance criteria to track.

Mostly picked by

Updated November 2, 2026

Card for the “ML engineer agent: training to production” skill

Details

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

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What you get

  • SKILL.md: role, domain and primary tools
  • SKILL.md: key capabilities, success criteria and integration

Good fit for

  • You move a model from a notebook to a production service
  • You want to monitor a model's drift after deployment

Not for

    Tags

    • machine learning
    • mlops
    • deployment
    • training
    • monitoring

    About

    You say

    “Design the production pipeline for my scoring model, with drift tracking.”

    Card for the “ML engineer agent: training to production” skill

    Skill published by tony363 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 design a model lifecycle, from training to production
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.2 KB

    Origin and licence

    Listed unmodified

    Author
    tony363
    Source
    github.com/tony363/superclaude/tree/6634f8ef5d5e67f17285df4a2c8a361638849c70/.claude/skills/agent-ml-engineer
    Licence
    MIT

    Notice

    « agent-ml-engineer » (tony363, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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