From jeremylongshore-claude-code-plugins-plus-skills
Generates TensorBoard visualizer operations and configurations for ML training tasks like data preparation, model training, hyperparameter tuning, and experiment tracking.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin framecraftThis skill is limited to using the following tools:
This skill provides automated assistance for tensorboard visualizer tasks within the ML Training domain.
Builds TensorFlow model trainers with guidance on data preparation, training, hyperparameter tuning, and experiment tracking. Activates on TensorFlow trainer phrases.
Tracks/visualizes ML training metrics and alerts via Python API/CLI. Syncs to Hugging Face Spaces for real-time dashboards, supports webhooks and JSON for automation.
Tracks ML experiments with Trackio using Python API for logging metrics/alerts and CLI for retrieval. Syncs to Hugging Face Spaces for real-time dashboards.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for tensorboard visualizer tasks within the ML Training domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with tensorboard visualizer" Result: Provides step-by-step guidance and generates appropriate configurations
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn