feature engineering
✓Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability
Installation
SKILL.md
Feature engineering creates and transforms features to improve model performance, interpretability, and generalization through domain knowledge and mathematical transformations.
Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability Source: aj-geddes/useful-ai-prompts.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill feature engineering Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Security certified for safe and reliable code One-click installation with simplified configuration Compatible with Claude Code, Cursor, and more
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill feature engineering- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is feature engineering?
Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability Source: aj-geddes/useful-ai-prompts.
How do I install feature engineering?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill feature engineering Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/aj-geddes/useful-ai-prompts
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01