tensorboard-visualizer
Generate tensorboard visualizer operations. Auto-activating skill for ML Training. Triggers on: tensorboard visualizer, tensorboard visualizer Part of the ML Training skill category. Use when working with tensorboard visualizer functionality. Trigger with phrases like "tensorboard visualizer", "tensorboard visualizer", "tensorboard". '
Profile →npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill tensorboard-visualizer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Tensorboard Visualizer ## Overview This skill provides automated assistance for tensorboard visualizer tasks within the ML Training domain. ## When to Use This skill activates automatically when you: - Mention "tensorboard visualizer" in your request - Ask about tensorboard visualizer patterns or best practices - Need help with machine learning training skills covering data preparation, model tr
What does the tensorboard-visualizer skill do?
Generate tensorboard visualizer operations. Auto-activating skill for ML Training. Triggers on: tensorboard visualizer, tensorboard visualizer Part of the ML Training skill category. Use when working with tensorboard visualizer functionality. Trigger with phrases like "tensorboard visualizer", "tensorboard visualizer", "tensorboard". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill tensorboard-visualizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.