---
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:

1. Understand the full context of your feature engineer request
2. Apply best practices and conventions for Data & Analytics
3. Produce clean, well-structured, production-ready output
4. 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](https://github.com/inbharatai/claude-skills) collection — 183+ skills for Claude.*
