Data Quality Rules

---
name: Data Quality Rules
description: See the main Data Validation Rules skill for comprehensive coverage of data quality rule implementation.
---

# 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-checks`
- `43-data-reliability/data-contracts`