Try it
Add the skill to a bot, then ask your Chief of Staff:
“Use the Feature Engineer skill on this: [describe the job, or paste your notes].”
Feature engineering transforms raw data into informative representations that improve model performance. It is often the single most impactful step in the ML pipeline. This skill covers transformations for numerical, categorical, text, and temporal data, plus feature selection techniques and feature store patterns.
What it covers
- Numerical Feature Transformations
- Categorical Feature Encoding
- Text Feature Engineering
- Temporal Feature Engineering
- Feature Selection
- Feature Stores
- Automated Feature Engineering
- Feature Engineering Pipeline