data-quality-test-generator

This Skill auto-generates comprehensive dbt test suites enforcing data quality standards. It produces dbt 1.10+ data_tests for staging, fact, and dimension models, including grain uniqueness, FK relationships, enum validation, and freshness checks, eliminating manual test scripting.

The Skill requires dbt 1.10+ syntax with data_tests, arguments, and config blocks. It generates tests including not_null, unique_combination_of_columns, relationships, accepted_values, and expression checks across staging, fact, and dimension models.

Yes. The Skill applies to new model creation, test coverage expansion, and data quality gates. It analyzes existing models and generates additional tests to meet data quality standards under dbt 1.10+ syntax.

The Skill enforces data quality gates by automatically generating standardized tests that validate grain uniqueness, foreign key relationships, enum constraints, and freshness across your dbt models, reducing manual quality assurance work.

The Skill is designed for Fantasy Football Analytics models but applies template-driven test generation to any dbt staging, fact, or dimension models following dbt 1.10+ syntax conventions.