From jeremylongshore-claude-code-plugins-plus-skills
Provides guidance and code generation for feature engineering in ML training pipelines, covering data preparation, model training, hyperparameter tuning, and experiment tracking. Activates on 'feature engineering helper' mentions.
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 feature engineering helper tasks within the ML Training domain.
Generates and executes Python code to create, select, and transform ML features including interactions, scaling, encoding, and importance analysis.
Generates scikit-learn pipelines and code for ML training tasks including data preparation, model training, hyperparameter tuning, and experiment tracking.
Builds production ML systems with PyTorch 2.x, TensorFlow, and modern frameworks for model serving, feature engineering, A/B testing, monitoring, and infrastructure.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for feature engineering helper tasks within the ML Training domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with feature engineering 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