Claude-skill-registry Data Quality Rules

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

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/data-quality-rules" ~/.claude/skills/majiayu000-claude-skill-registry-data-quality-rules && rm -rf "$T"

manifest: skills/data/data-quality-rules/SKILL.md

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
```