Feature Engineering
Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability
npx skills add majiayu000/claude-skill-registry --skill feature-engineering-aj-geddes-useful-ai-prompts --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Feature Engineering ## Overview Feature engineering creates and transforms features to improve model performance, interpretability, and generalization through domain knowledge and mathematical transformations. ## When to Use - When you need to improve model performance beyond using raw features - When dealing with categorical variables that need encoding for ML algorithms - When features have different scales and require normalization - When creating domain-specific features based on business knowledge - When handling skewed distributions or non-linear relationships - When preparing data for different types of ML algorithms with specific requirements ## Engineering Techniques - **Encoding**: Converting categorical to numerical - **Scaling**: Normalizing feature ranges - **Polynomial Features**: Higher-order terms - **Interactions**: Combining features - **Domain-specific**: Business-relevant transformations - **Temporal**: Time-based features ## Key Principles - Create features based on domain knowledge - Remove redundant features - Scale features appropriately - Handle categorical variables - Create meaningful interactions ## Implementation with Python ```python import pandas as
- Overview
- When to Use
- Engineering Techniques
- Key Principles
- Implementation with Python
- Best Practices
- Common Transformations
- Deliverables
What does the Feature Engineering skill do?
Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill feature-engineering-aj-geddes-useful-ai-prompts --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.