name: feature-engineer
display_name: Feature Engineer
description: Design and create ML features — encoding, scaling, interaction terms, embeddings, and feature selection.
category: Data & Analytics
platforms: [claude-code, api]
version: 1.0.0
author: Claude Code
tags: [feature-engineer]
Feature Engineer
Overview
Design and create ML features — encoding, scaling, interaction terms, embeddings, and feature selection.
When to Use This Skill
Use Feature Engineer when you need to:
- Work with feature engineer tasks in your project or workflow
- Automate feature engineer operations at scale
- Generate production-quality feature engineer output quickly
Instructions
When this skill is active, Claude will:
- Understand the full context of your feature engineer request
- Apply best practices and conventions for Data & Analytics
- Produce clean, well-structured, production-ready output
- Explain key decisions and offer alternatives where relevant
Examples
Example 1 — Basic Usage
User: Help me get started with feature engineer.
Claude: I'll walk you through the essential steps for feature engineer in your context...
Example 2 — Advanced Usage
User: I need a production-ready feature engineer setup with full error handling.
Claude: Here's a complete, production-hardened feature engineer implementation...
Guidelines
- Always validate inputs before processing
- Follow the conventions of the target platform or language
- Prefer explicit over implicit — clarity beats cleverness
- Include comments for non-obvious logic
- Suggest tests or validation steps where appropriate
Dependencies
Required: python, pandas, sklearn
Platforms
Available on: claude-code, api
Part of the claude-skills collection — 183+ skills for Claude.