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The Pydantic Validation skill empowers Claude to architect and implement strict data schemas for Python applications. It provides a library of reusable patterns for record-level validation, including nested models, custom field constraints, and batch processing logic. This skill is particularly useful for data engineers building ETL pipelines or developers creating robust APIs who need to ensure data integrity, handle type coercion, and generate clear validation error reports during data ingestion.
