Does it work with existing database tables?

Absolutely. You can use this skill to analyze existing tables and add new validation rules or constraints to improve the integrity of your current data structure.

What types of databases does the Data Validation Engine support?

The engine is designed for production-ready implementations and supports multi-database environments by generating standard SQL constraints and application-level validation logic.

How does this skill improve application security?

By enforcing strict data types and formats at the database level, it acts as a secondary defense against malformed data and injection attempts that might bypass frontend checks.

Can I use this skill to validate email formats?

Yes, the skill can specifically implement regular expression constraints to ensure columns like email addresses or phone numbers follow strict formatting rules.

Database Data Validation Engine

Name: Database Data Validation Engine
Author: BbgnsurfTech

byBbgnsurfTech

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데이터베이스 관리

Automates the enforcement of data types, referential integrity, and custom business rules across database schemas to ensure high-quality data storage.

소개

The Data Validation Engine skill empowers Claude to proactively manage and protect database integrity by implementing robust validation rules at both the schema and application levels. It automates the creation of constraints for data types, value ranges, and specific formats like email addresses or custom regex patterns. By supporting multi-database environments, this skill helps developers prevent data corruption, automate boilerplate validation logic, and maintain production-ready data quality standards throughout the development lifecycle.

주요 기능

3 GitHub stars
Custom business rule and logic enforcement
Multi-database environment compatibility
Referential integrity and data range verification
Regex-based format validation for complex strings
Automatic schema-level constraint generation

사용 사례

Validating user input formats to prevent invalid data storage
Ensuring data consistency during complex schema migrations
Hardening existing database schemas with new integrity constraints

소개

주요 기능

3 GitHub stars
Custom business rule and logic enforcement
Multi-database environment compatibility
Referential integrity and data range verification
Regex-based format validation for complex strings
Automatic schema-level constraint generation

사용 사례

Validating user input formats to prevent invalid data storage
Ensuring data consistency during complex schema migrations
Hardening existing database schemas with new integrity constraints