Data Transformation (Universal)

Overview

This skill enables you to perform comprehensive data transformations including cleaning, normalization, reshaping, filtering, and feature engineering. Unlike cloud-hosted solutions, this skill uses standard Python data manipulation libraries (pandas, numpy, sklearn) and executes locally in your environment, making it compatible with ALL LLM providers including GPT, Gemini, Claude, DeepSeek, and Qwen.

When to Use This Skill

• Clean and preprocess raw data
• Normalize or scale numeric features
• Reshape data between wide and long formats
• Handle missing values
• Filter and subset datasets
• Merge multiple datasets
• Create new features from existing ones
• Convert data types and formats

How to Use

Step 1: Import Required Libraries