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Tracking experiments and models with MLflow v1.0.0

Use this resource to track ML experiments and manage a model registry

New

  • 556 downloads
  • 150 likes
  • 236 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install mlflow-experiment-tracking-2

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 helps you install MLflow, log parameters, metrics and artifacts for each run, then version models in the registry. It also covers deployment and experiment reproduction.

Mostly picked by

Updated November 2, 2026

Card for the “Tracking experiments and models with MLflow” skill

Details

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

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What you get

  • SKILL.md: installation, run tracking and autologging
  • references/tracking.md, model-registry.md and deployment.md: tracking, registry and deployment

Good fit for

  • You compare several model training runs
  • You want to version and deploy models as a team

Not for

    Tags

    • mlflow
    • experiments
    • model registry
    • deployment

    About

    You say

    “Add MLflow to my training script to track metrics and version the model.”

    Card for the “Tracking experiments and models with MLflow” skill

    Skill published by Orchestra Research 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 track ML experiments and manage a model registry
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/deployment.md17 KB
    • references/model-registry.md17.8 KB
    • references/tracking.md15.3 KB
    • SKILL.md15.9 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/orchestra-research/ai-research-skills/tree/773a52944ba4747a18bd4ae9ade53fff041adcbc/13-mlops/mlflow
    Licence
    MIT

    Notice

    « mlflow » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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