From jeremylongshore-claude-code-plugins-plus-skills
Assists with gradient clipping in ML training workflows, providing step-by-step guidance, production-ready code, and configurations for data preparation, model training, and hyperparameter tuning.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin langchain-py-packThis skill is limited to using the following tools:
This skill provides automated assistance for gradient clipping helper tasks within the ML Training domain.
Manages learning rate scheduler operations in ML training, generating code and configurations for PyTorch, TensorFlow, and scikit-learn. Useful for hyperparameter tuning and training workflows.
Assesses ML pipeline stage and applies patterns for data pipelines, model training, serving, MLOps, evaluation, and debugging with validations like schema checks, drift detection, and skew guards.
Provides LeetCode-style PyTorch interview practice with auto-grading, gradient verification, and timing for 40 problems implementing softmax, LayerNorm, attention, GPT-2 from scratch.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for gradient clipping helper tasks within the ML Training domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with gradient clipping helper" 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