Data Quality Rules

See the main Data Validation Rules skill for comprehensive coverage of data quality rule implementation.

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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

majiayu000/claude-skill-registry-data/tree/main/data/data-quality-rules-amnadtaowsoam-cerebratechai-claude commit 76ccedb7e1

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npx skillmds add majiayu000/data-quality-rules-2