Data Contracts

The data-quality-frameworks skill helps teams plan production data validation with dbt tests, Great Expectations, and data contracts. Use it to choose the right checks, map them to a testing pyramid, and guide CI/CD-ready data quality workflows for Data Cleaning and pipeline reliability.

pydantic-models-py helps you create Pydantic v2 multi-model sets with Base, Create, Update, Response, and InDB variants. Use it for backend development, API request and response schemas, PATCH-friendly updates, camelCase aliases, and database-ready Python models.