How does this skill improve production code quality?

By automating the generation of validation logic, it reduces manual coding errors and ensures that database constraints are rigorously tested and verified before deployment.

Does it handle referential integrity between tables?

Absolutely. It can define and enforce foreign key constraints and other referential rules to ensure consistency across your entire database schema.

Can it validate complex formats like email addresses?

Yes, the skill can implement regular expression-based validation to ensure columns like email addresses, phone numbers, and custom identifiers follow specific patterns.

What types of databases does the Data Validation Engine support?

The skill is designed for multi-database environments, supporting standard SQL-based systems like PostgreSQL, MySQL, and SQLite common in modern application development.

Data Validation Engine

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

byintent-solutions-io

数据库管理

Automates the implementation of database integrity constraints, data type validation, and business rules across multiple database environments.

关于

The Data Validation Engine skill empowers Claude to proactively manage and enforce data integrity within your software applications. By automatically generating and applying validation rules for data types, ranges, formats, and referential integrity, it ensures that databases remain clean, consistent, and production-ready. This skill is essential for developers looking to automate the tedious process of writing validation logic and constraint scripts while maintaining high data quality standards across diverse database schemas and application levels.

主要功能

Referential integrity and business rule enforcement
Multi-database environment support for production readiness
Automated data type and range validation implementation
Format enforcement via regular expressions (e.g., email, zip codes)
Real-time verification of constraints and error reporting
0 GitHub stars

使用场景

Automating the setup of referential integrity rules in complex relational databases
Validating application-level inputs to ensure only clean data reaches the storage layer
Enforcing data constraints on new or existing database schemas to prevent corruption

关于

主要功能

Referential integrity and business rule enforcement
Multi-database environment support for production readiness
Automated data type and range validation implementation
Format enforcement via regular expressions (e.g., email, zip codes)
Real-time verification of constraints and error reporting
0 GitHub stars

使用场景

Automating the setup of referential integrity rules in complex relational databases
Validating application-level inputs to ensure only clean data reaches the storage layer
Enforcing data constraints on new or existing database schemas to prevent corruption