synthetic-data

Features and purpose

Patterns for generating synthetic data for ML training, testing, and privacy. Covers LLM-based generation, tabular synthesis, and quality validation. Use when "synthetic data, generate training data, fake data generation, data augmentation, SDV, Gretel, test data, privacy-preserving data, " mentioned.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.