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