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Training visualization with TensorBoard v1.0.0

Use this resource to visualize training metrics and profile a model with TensorBoard

New

  • 580 downloads
  • 158 likes
  • 250 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install tensorboard-training-monitoring

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 adds TensorBoard logging to a PyTorch or TensorFlow training loop, launches the local interface and helps read curves, histograms and profiles. You get a dashboard to compare your runs.

Mostly picked by

Updated November 2, 2026

Card for the “Training visualization with TensorBoard” skill

Details

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

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What you get

  • SKILL.md: installation, PyTorch and TensorFlow integration, launch
  • references/visualization.md: histograms, graphs and embeddings
  • references/profiling.md: performance profiling

Good fit for

  • You want to compare three runs with different hyperparameters
  • Training has stalled and you are looking for the cause in the gradients

Not for

    Tags

    • tensorboard
    • training
    • metrics
    • profiling

    About

    You say

    “Add TensorBoard to my PyTorch training loop and show me how to compare two runs.”

    Card for the “Training visualization with TensorBoard” 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 visualize training metrics and profile a model with TensorBoard
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/integrations.md16.4 KB
    • references/profiling.md13.6 KB
    • references/visualization.md15.2 KB
    • SKILL.md15.6 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/mlops-tensorboard
    Licence
    MIT

    Notice

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

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