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Experiment logging with W&B v1.0.0

Use this resource to add W&B tracking to a training script

New

  • 358 downloads
  • 116 likes
  • 225 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install wandb-experiment-logging

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

This skill activates on W&B requests and guides the agent step by step, with examples and error-handling rules. Its page does not detail which metrics to log, so choose them for your experiment.

Mostly picked by

Updated November 2, 2026

Card for the “Experiment logging with W&B” skill

Details

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

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What you get

  • SKILL.md: tracking integration steps and prerequisites
  • SKILL.md: examples and error handling

Good fit for

  • You want to compare several training runs
  • You share experiment results with a team

Not for

    Tags

    • wandb
    • tracking
    • experiments
    • machine learning

    About

    You say

    “Add W&B tracking to my training script so it logs the metrics.”

    Card for the “Experiment logging with W&B” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> 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 add W&B tracking to a training script
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/07-ml-training/wandb-experiment-logger
    Licence
    MIT

    Notice

    « wandb-experiment-logger » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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