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Log and reproduce machine learning experiments v1.0.0

Use this resource to log ML experiments and make them reproducible

New

  • 423 downloads
  • 122 likes
  • 125 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ml-experiment-logging-reproducibility

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 experiment logging with MLflow or Weights & Biases, versions data with DVC and applies a reproducibility checklist: code, data, environment and hyperparameters. The model registry is covered too.

Mostly picked by

Updated November 2, 2026

Card for the “Log and reproduce machine learning experiments” skill

Details

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

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What you get

  • SKILL.md: core competencies and what to log
  • references/: MLflow setup and model registry
  • references/: Weights & Biases patterns, reproducibility checklist and workflow integration

Good fit for

  • You compare several training runs and lose track of which result came from which settings
  • You must be able to rerun a training exactly

Not for

    Tags

    • mlflow
    • reproducibility
    • experiment tracking
    • machine learning

    About

    You say

    “Add MLflow tracking to my training script and log the hyperparameters and the validation metric.”

    Card for the “Log and reproduce machine learning experiments” skill

    Skill published by 4444j99 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 log ML experiments and make them reproducible
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/mlflow-setup.md3.5 KB
    • references/reproducibility-checklist.md4.1 KB
    • references/wandb-patterns.md4.4 KB
    • references/workflow-integration.md6.1 KB
    • SKILL.md7.7 KB

    Origin and licence

    Listed unmodified

    Author
    4444j99
    Source
    github.com/4444j99/a-i--skills/tree/df5445878f12d78d81ec48571fa11063f9a5cd46/skills/data/ml-experiment-tracker
    Licence
    MIT

    Notice

    « ml-experiment-tracker » (4444j99, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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