How does the Data Validation Engine handle complex business rules?

The skill analyzes your specific requirements and uses the engine to generate custom logic or SQL constraints that enforce your unique business rules automatically.

Can this skill be used with existing databases?

Yes, it can be triggered to analyze and add validation constraints to existing database tables to improve data quality without a full migration.

Does it support email and string format validation?

Absolutely. It includes patterns for validating common formats like email addresses, URLs, and phone numbers using robust regular expressions.

What happens if a validation rule implementation fails?

Claude performs a verification step after applying rules to identify errors or conflicts, ensuring that your database remains functional and consistent.

Is this skill compatible with different database types?

The engine is built for multi-database environments, allowing Claude to implement validation logic that is compatible with various SQL dialects and application frameworks.

Data Validation Engine

Name: Data Validation Engine
Author: jeremylongshore

byjeremylongshore

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884

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데이터베이스 관리

Automates database integrity checks by enforcing strict data types, ranges, and custom business rules across multi-database environments.

The Data Validation Engine skill empowers Claude to maintain high data quality by implementing comprehensive validation rules at both the database and application levels. By leveraging specialized plugin logic, it automates the creation of constraints for email formats, numeric ranges, and referential integrity, ensuring that only clean, valid data enters your system. It is particularly useful when architecting new schemas, hardening existing production databases, or implementing complex business logic validation without writing manual boilerplate code.

주요 기능

01Automated verification of applied validation constraints

02884 GitHub stars

03Multi-database environment support for production readiness

04RegEx-based format validation for emails and patterns

05Referential integrity and business rule implementation

06Automated data type and numeric range enforcement

사용 사례

01Adding format validation to existing tables like email or phone columns

02Hardening a new database schema with strict integrity constraints

03Implementing cross-field business logic checks at the application layer

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills data-validation-engine

For use in Claude.ai and ChatGPT

Download Skill

주요 기능

01Automated verification of applied validation constraints

02884 GitHub stars

03Multi-database environment support for production readiness

04RegEx-based format validation for emails and patterns

05Referential integrity and business rule implementation

06Automated data type and numeric range enforcement

사용 사례

01Adding format validation to existing tables like email or phone columns

02Hardening a new database schema with strict integrity constraints

03Implementing cross-field business logic checks at the application layer

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills data-validation-engine

For use in Claude.ai and ChatGPT

Download Skill