Does it support specific databases like PostgreSQL?

Yes, it is designed to generate code for various database systems and ORMs, including PostgreSQL, MySQL, and SQLAlchemy.

How do I trigger the database testing features in Claude?

You can use the /db-test or /dbt commands, or simply ask Claude to help with tasks like 'database testing' or 'test data factories' in plain language.

How does this skill maintain a clean database during testing?

It wraps test execution in transactions and automatically triggers a rollback after completion, ensuring no persistent changes are made to your testing environment.

Can I generate realistic data for specific tables?

Yes, the skill utilizes libraries like Faker to create realistic test data factories tailored to your specific schema, such as users, products, or order records.

Database Testing Manager

Name: Database Testing Manager
Author: BbgnsurfTech

byBbgnsurfTech

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安全与测试

Automates database testing workflows by generating realistic test data, managing transaction rollbacks, and validating schema integrity.

关于

The Database Testing Manager skill empowers developers to build reliable database interactions by automating the creation of test data factories and ensuring clean testing environments. It simplifies the implementation of transaction-wrapped tests that automatically roll back changes, preventing database pollution during integration testing. Additionally, it provides tools for schema validation to catch migration errors early, making it an essential utility for maintaining data integrity across the development lifecycle.

主要功能

Integration with popular libraries like SQLAlchemy and PostgreSQL
Support for /db-test and /dbt command-line triggers
3 GitHub stars
Seamless transaction wrapping with automatic rollback capabilities
Real-time database schema validation against expected structures
Automated test data generation using Faker and factories

使用场景

Seeding a development database with realistic user and product records
Verifying that database migrations match the intended architectural design
Running integration tests without polluting the persistent database state

关于

主要功能

Integration with popular libraries like SQLAlchemy and PostgreSQL
Support for /db-test and /dbt command-line triggers
3 GitHub stars
Seamless transaction wrapping with automatic rollback capabilities
Real-time database schema validation against expected structures
Automated test data generation using Faker and factories

使用场景

Seeding a development database with realistic user and product records
Verifying that database migrations match the intended architectural design
Running integration tests without polluting the persistent database state