datarobot-feature-engineering

# DataRobot Feature Engineering Skill This skill provides guidance for working with features in DataRobot, including understanding automated feature engineering, analyzing feature importance, and optimizing feature sets. ## Quick Start **Most common use case**: Analyze feature importance for a model 1. **Get feature importance**: `get_feature_importance(model_id)` to get importance scores 2. **Analyze top features**: Sort by importance and identify key drivers 3. **Export feature list**: `export_feature_list(project_id)` to document features **Example**: "Show me the top 10 most important features for model xyz123" ## When to use this skill Use this skill when you need to: - Understand what features DataRobot creates automatically - Analyze feature importance for models - Discover which features drive predictions - Optimize feature sets for better performance - Understand feature types and transformations - Export feature lists and definitions ## Key capabilities ### 1. Feature Discovery - Understand automated feature engineering in DataRobot - Review derived features and transformations - Identify feature types (numeric, categorical, text, date) - Explore feature relationships and interactions ### 2. Feature Importance Analysis - Get feature importance scores for models - Understand which features drive predictions - Compare feature importance across models - Identify redundant or low-value features ### 3. Feature Optimization - Select important features for mo...