| name | feature-importance-analyzer |
|---|---|
| description | Feature Importance Analyzer - Auto-activating skill for ML Training. Triggers on: feature importance analyzer, feature importance analyzer 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 <[email protected]> |
Feature Importance Analyzer
Purpose
This skill provides automated assistance for feature importance analyzer tasks within the ML Training domain.
When to Use
This skill activates automatically when you: - Mention "feature importance analyzer" in your request - Ask about feature importance analyzer 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 feature importance analyzer
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Example Triggers
- "Help me with feature importance analyzer"
- "Set up feature importance analyzer"
- "How do I implement feature importance analyzer?"
Related Skills
Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn