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Machine learning model deployment v1.0.0

Use this resource to serve a machine learning model with FastAPI, Docker and drift monitoring

New

  • 336 downloads
  • 113 likes
  • 236 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ml-model-deployment

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 builds the prediction server with /predict and /health endpoints, writes the Dockerfile, then adds monitoring and drift detection. You get a model served in production with health checks.

Mostly picked by

Updated November 2, 2026

Card for the “Machine learning model deployment” skill

Details

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

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What you get

  • SKILL.md : FastAPI server, Dockerfile and deployment checklist
  • references/ : model CI/CD, production server and drift monitoring

Good fit for

  • A trained model must be available through an API
  • Predictions slow down or degrade after release

Not for

    Tags

    • ml
    • deployment
    • fastapi
    • docker

    About

    You say

    “Deploy this scikit-learn model behind a FastAPI API, with a Dockerfile and a health check.”

    Card for the “Machine learning model deployment” 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 serve a machine learning model with FastAPI, Docker and drift monitoring
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/cicd-ml-models.md14.7 KB
    • references/containerization-deployment.md11.3 KB
    • references/fastapi-production-server.md17 KB
    • references/model-monitoring-drift.md14.2 KB
    • SKILL.md9.7 KB

    Origin and licence

    Listed unmodified

    Author
    secondsky
    Source
    github.com/secondsky/claude-skills/tree/88378361314f558fb719aec0af9fd898ab36f0b2/plugins/model-deployment/skills/model-deployment
    Licence
    MIT

    Notice

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

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