From jeremylongshore-claude-code-plugins-plus-skills
Guides TensorFlow model training: data prep, hyperparameter tuning, experiment tracking. Auto-activates on 'tensorflow model trainer' mentions.
How this skill is triggered — by the user, by Claude, or both
Slash command
/jeremylongshore-claude-code-plugins-plus-skills:tensorflow-model-trainerThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill provides automated assistance for tensorflow model trainer tasks within the ML Training domain.
This skill provides automated assistance for tensorflow model trainer tasks within the ML Training domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with tensorflow model trainer" 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
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skillsGenerates production-ready PyTorch model training code and configurations. Provides step-by-step guidance for data preparation, hyperparameter tuning, and experiment tracking.
Builds and trains neural networks using TensorFlow Keras API, including sequential models, CNNs for image classification like MNIST, with training, evaluation, and model saving.
Organizes PyTorch code into LightningModules, configures Trainers for multi-GPU/TPU, builds data pipelines and callbacks, and runs distributed training (DDP, FSDP, DeepSpeed). Use when structuring training loops or scaling neural-network training.