Can I use this for existing databases?

Yes, it can be used to analyze existing tables and add new constraints or validation rules to improve overall data integrity.

How does it handle complex formats like emails?

It utilizes the data-validation-engine plugin to apply regular expression constraints and formatting rules directly to your schema or application code.

Does it provide feedback when validation fails?

Yes, it is designed to implement clear, informative error messages that help guide users or developers to correct invalid data inputs.

What database types does this skill support?

This skill is designed for multi-database environments, supporting both standard SQL databases and application-level validation logic.

Data Validation Engine

Name: Data Validation Engine
Author: intent-solutions-io

byintent-solutions-io

データベース管理

Ensures database integrity by automatically enforcing data types, constraints, and complex business rules across multi-database environments.

概要

This skill empowers developers to implement robust data validation logic within their database schemas and applications, providing a systematic way to enforce referential integrity, data formats, and business logic. It streamlines the creation of constraints, reduces manual error-checking, and ensures high data quality throughout the development lifecycle, making it an essential tool for maintaining production-grade database systems.

主な機能

Support for multi-database environment configurations
Referential integrity and constraint enforcement
Regular expression-based format checking for emails and phone numbers
0 GitHub stars
Automated data type and range validation
Real-time verification and error reporting for validation rules

ユースケース

Validating complex user input formats at the database level
Ensuring business rule compliance for financial or inventory data systems
Enforcing strict data types and ranges in SQL or NoSQL schemas

概要

主な機能

Support for multi-database environment configurations
Referential integrity and constraint enforcement
Regular expression-based format checking for emails and phone numbers
0 GitHub stars
Automated data type and range validation
Real-time verification and error reporting for validation rules

ユースケース

Validating complex user input formats at the database level
Ensuring business rule compliance for financial or inventory data systems
Enforcing strict data types and ranges in SQL or NoSQL schemas