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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

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Related Skills

• 43-data-reliability/data-validation-rules (Main skill)
• 43-data-reliability/data-quality-checks
• 43-data-reliability/data-contracts