| name | hyperparameter-tuner |
| description | Hyperparameter Tuner - Auto-activating skill for ML Training.
Triggers on: hyperparameter tuner, hyperparameter tuner
Part of the ML Training skill category.
|
| allowed-tools | Read, Write, Edit, Bash(python:*), Bash(pip:*) |
| version | 1.0.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
Hyperparameter Tuner
Purpose
This skill provides automated assistance for hyperparameter tuner tasks within the ML Training domain.
When to Use
This skill activates automatically when you:
- Mention "hyperparameter tuner" in your request
- Ask about hyperparameter tuner patterns or best practices
- Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.
Capabilities
- Provides step-by-step guidance for hyperparameter tuner
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Example Triggers
- "Help me with hyperparameter tuner"
- "Set up hyperparameter tuner"
- "How do I implement hyperparameter tuner?"
Related Skills
Part of the ML Training skill category.
Tags: ml, training, pytorch, tensorflow, sklearn
