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Track ML experiments with Weights & Biases v1.0.0

Use this resource to log and compare machine learning experiments

New

  • 424 downloads
  • 205 likes
  • 157 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ml-experiment-tracking-wandb

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 installs W&B, instruments your training loop to record metrics and hyperparameters, then sets up sweeps and artifacts. You then compare runs in the dashboard.

Mostly picked by

Updated November 2, 2026

Card for the “Track ML experiments with Weights & Biases” skill

Details

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

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What you get

  • SKILL.md: installation, login and logging a run
  • references/: artifacts, integrations and sweeps

Good fit for

  • You are comparing twenty or so training runs scattered across files
  • You want an automated hyperparameter search

Not for

    Tags

    • weights & biases
    • tracking
    • experiments
    • sweeps
    • mlops

    About

    You say

    “Add W&B tracking to my PyTorch loop and run a sweep over the learning rate.”

    Card for the “Track ML experiments with Weights & Biases” 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 log and compare machine learning experiments
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/artifacts.md13.1 KB
    • references/integrations.md15.8 KB
    • references/sweeps.md17.3 KB
    • SKILL.md12.4 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/nousresearch/hermes-agent/tree/0c74cc682dc81bf78b78a1737b3ee77a820ccb79/optional-skills/mlops/evaluation/weights-and-biases
    Licence
    MIT

    Notice

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

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