FreeSkills
Commits, branches and sync with the but CLI
- 361361 downloads
- 198198 likes
- 103103 saves
Works with
- Claude Code
- Codex
- Cursor
- and 3 more
TensorBoard training visualization v1.0.0
Use this resource to visualize training metrics with TensorBoard
New
- 438 downloads
- 130 likes
- 233 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install tensorboard-training-visualization-2With 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 loginThe agent follows a step-by-step method to set up TensorBoard. You get instructions, examples and a section on common errors.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: step-by-step instructions and examples
- SKILL.md: prerequisites, output format and error handling
Good fit for
- You want to follow the loss curves of a training run
- You want to inspect a training run in progress
Not for
Tags
- tensorboard
- training
- metrics
About
You say
“Set up TensorBoard to track the loss of my training run.”
Skill published by Jeremy Longshore <jeremy@intentsolutions.io> under the MIT license, delivered in its original version.
Show moreShow less
How to use it
- Install the skill in your agent's skills folder
- Ask your agent to visualize training metrics with TensorBoard
- 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/tensorboard-visualizer
- Licence
- MIT
Notice
« tensorboard-visualizer » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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