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Getting started with MLflow for your use case v1.0.0

Use this resource to get started with MLflow by choosing the path that fits your project, GenAI or classic ML

New

  • 573 downloads
  • 183 likes
  • 139 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install mlflow-onboarding-quickstart

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 identifies your use case (GenAI agents and apps, or machine and deep learning) from your code, experiment tags or answers. It points you to the quickstart tutorials and the first integration, reusing your existing configuration.

Mostly picked by

Updated November 2, 2026

Card for the “Getting started with MLflow for your use case” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: use-case detection from code and signals
  • SKILL.md: GenAI or classic ML quickstart path, then integration

Good fit for

  • You want to add MLflow tracking to a scikit-learn project
  • You want observability for a RAG chatbot

Not for

    Tags

    • mlflow
    • onboarding
    • tracking
    • observability
    • integration

    About

    You say

    “Add MLflow to my project: it's a RAG chatbot with tool calls.”

    Card for the “Getting started with MLflow for your use case” skill

    Skill published by mlflow under the Apache-2.0 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 get started with MLflow by choosing the path that fits your project, GenAI or classic ML
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md13.2 KB

    Origin and licence

    Listed unmodified

    Author
    mlflow
    Source
    github.com/mlflow/skills/tree/6a505d8f30b7fbf93533cdf4e7d88fc30d66ba8b/mlflow-onboarding
    Licence
    Apache-2.0

    Notice

    « mlflow-onboarding » (mlflow, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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