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dkyazzentwatwa

feature-engineering-kit

by @dkyazzentwatwa in AI & LLM
7
0
# Install this skill:
npx skills add dkyazzentwatwa/chatgpt-skills --skill "feature-engineering-kit"

Install specific skill from multi-skill repository

# Description

Auto-generate features with encodings, scaling, polynomial features, and interaction terms for ML pipelines.

# SKILL.md

name: feature-engineering-kit
description: Auto-generate features with encodings, scaling, polynomial features, and interaction terms for ML pipelines.

Feature Engineering Kit

Automated feature engineering with encodings, scaling, and transformations.

Features

  • Encodings: One-hot, label, target encoding
  • Scaling: Standard, min-max, robust scaling
  • Polynomial Features: Generate interactions
  • Binning: Discretize continuous features
  • Date Features: Extract time-based features
  • Text Features: TF-IDF, word counts
  • Missing Value Handling: Imputation strategies

CLI Usage

python feature_engineering.py --data train.csv --output engineered.csv --config config.json

Dependencies

  • scikit-learn>=1.3.0
  • pandas>=2.0.0
  • numpy>=1.24.0

# Related Skills

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

⚡ Amp 🚀 Antigravity 🤖 Claude Code 🦀 Clawdbot 📝 Codex ▶️ Cursor 🤖 Droid 💎 Gemini CLI 🐙 GitHub Copilot 🪿 Goose 📊 Kilo Code 🔧 Kiro CLI 💻 OpenCode 🦘 Roo Code 🌲 Trae 🏄 Windsurf

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.