Data Quality Rules
This skill is covered in detail in the main Data Validation Rules skill.
Please refer to: 43-data-reliability/data-validation-rules/SKILL.md
That skill covers:
- Levels of data validation (database, application, pipeline, API)
- Common validation patterns (required fields, type, format, range, enum, cross-field, conditional)
- Validation libraries (Pydantic, Zod, JSON Schema, Marshmallow, Cerberus, Joi, Yup)
- Database-level validation (CHECK constraints, triggers, domain types)
- API validation (FastAPI, Fastify)
- ETL pipeline validation
- Validation error handling
- Performance considerations
- Real-world validation scenarios
Related Skills
43-data-reliability/data-validation-rules(Main skill)43-data-reliability/data-quality-checks43-data-reliability/data-contracts