pyspark-test-generator

Features and purpose

Generate comprehensive PySpark-based data quality validation tests for Databricks tables. Use when creating automated tests for data completeness, accuracy, consistency, and conformity, or when user mentions test generation, data validation, quality monitoring, or PySpark test frameworks.

Quick start

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