Test Data Preparation And Synthetic Data

Overview

Use this skill when data work needs realistic test inputs without depending on unsafe copies of production. It helps agents decide when to use masked subsets, synthetic data, seeded fixtures, or contract-shaped test datasets.

When to Use

• building lower-environment validation datasets
• preparing integration-test or QA data
• creating representative demo or training datasets
• generating synthetic data that preserves shape and edge cases
• defining seeded fixtures for pipelines, dbt, or Spark jobs

Do not assume production copies are the default answer for testing.

Workflow