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MLOps pipelines: deployment, drift and CI/CD v1.0.0

Use this resource to deploy and monitor a machine learning model

New

  • 599 downloads
  • 160 likes
  • 133 saves

Free

Install with the CLI

In a terminal, from the folder you want:

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

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 picks the deployment strategy (batch, real-time, edge, streaming), sets up performance and drift monitoring, plans alerts and model versioning, then describes the continuous integration pipeline. You get an operational MLOps plan.

Mostly picked by

Updated November 2, 2026

Card for the “MLOps pipelines: deployment, drift and CI/CD” skill

Details

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

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What you get

  • SKILL.md: four model deployment strategies
  • SKILL.md: monitoring, drift detection and alerts
  • SKILL.md: CI/CD for models, versioning and feature store concepts

Good fit for

  • Your prediction model degrades after a few months
  • You want to put a model in production with an automated chain

Not for

    Tags

    • mlops
    • drift
    • deployment
    • ci/cd

    About

    You say

    “Propose a real-time deployment strategy for our fraud detection model, with a drift alert.”

    Card for the “MLOps pipelines: deployment, drift and CI/CD” skill

    Skill published by monumentalsystems 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 deploy and monitor a machine learning model
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.8 KB

    Origin and licence

    Listed unmodified

    Author
    monumentalsystems
    Source
    github.com/monumentalsystems/atlas-agent-teams/tree/826a409e23fde79a322d8e7680d0a23ff5cad9d5/teams/data-science/skills/mlops-pipelines
    Licence
    MIT

    Notice

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

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