What databases are supported by the Database Test Manager?

It is designed to work with various database systems and ORMs, including PostgreSQL and SQLAlchemy, by generating compatible Python scripts and SQL commands.

How do I trigger database testing commands in Claude Code?

You can use specific commands like /db-test or /dbt, or mention phrases such as 'database testing' or 'test data factories' in your request.

How does this skill handle database clean-up?

The skill wraps database tests within transactions and implements automatic rollback mechanisms, ensuring that any changes made during testing are reverted to maintain a clean environment.

Can I generate realistic data for my tests?

Yes, the skill utilizes libraries like Faker to create realistic data factories that populate your tables with production-like information.

Database Test Manager

Name: Database Test Manager
Author: intent-solutions-io

byintent-solutions-io

安全与测试

Streamlines database testing by generating realistic test data, managing transactional integrity, and validating schemas.

关于

The Database Test Manager skill empowers Claude to architect and manage comprehensive database testing workflows, ensuring your data interactions are reliable and isolated. It automates the creation of realistic test data using factories and fixtures, while maintaining a clean environment by wrapping tests in transactions with automatic rollbacks. By validating database schemas against expected structures, this skill helps developers catch migration issues early and maintain high-integrity database interactions throughout the development lifecycle.

主要功能

Automated test data generation using Faker and data factories
Migration testing and integrity constraint verification
Transactional test wrapping with automatic rollback mechanisms
0 GitHub stars
Comprehensive schema validation against expected structures
Integration with popular ORMs like SQLAlchemy and databases like PostgreSQL

使用场景

Validating that a new migration correctly implements the intended schema structure
Ensuring unit tests leave the database state unchanged via transaction management
Seeding a development database with realistic mock data for integration tests

关于

主要功能

Automated test data generation using Faker and data factories
Migration testing and integrity constraint verification
Transactional test wrapping with automatic rollback mechanisms
0 GitHub stars
Comprehensive schema validation against expected structures
Integration with popular ORMs like SQLAlchemy and databases like PostgreSQL

使用场景

Validating that a new migration correctly implements the intended schema structure
Ensuring unit tests leave the database state unchanged via transaction management
Seeding a development database with realistic mock data for integration tests