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Track experiments and model registry with MLflow v1.0.0

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

New

  • 549 downloads
  • 158 likes
  • 215 saves

Free

Install with the CLI

In a terminal, from the folder you want:

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

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 sets up MLflow experiment tracking (parameters, metrics, artifacts), autologging, the model registry with versions and stage transitions, then deployment. It also helps reproduce an experiment and compare model versions.

Mostly picked by

Updated November 2, 2026

Card for the “Track experiments and model registry 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, UI and run tracking with autologging
  • references/: tracking, model registry and deployment

Good fit for

  • You compare several training runs and lose track of parameters
  • You want to version your models before putting them into production

Not for

    Tags

    • mlflow
    • experiments
    • registry
    • mlops

    About

    You say

    “Log the parameters and metrics of my last three training runs in MLflow.”

    Card for the “Track experiments and model registry with MLflow” skill

    Skill published by davila7 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 with MLflow
    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
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/mlops-mlflow
    Licence
    MIT

    Notice

    « mlops-mlflow » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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