How does it handle SQL Server startup timeouts?

It provides specific troubleshooting guidance for SQL Server, which can take 3-5 minutes to start, including memory allocation checks and separate test execution commands.

Does this skill require Docker to be installed?

Yes, integration tests use Testcontainers to spin up real database instances, which requires a running Docker environment with at least 4GB of memory recommended.

What testing framework does this skill use?

This skill is optimized for projects using Vitest as the primary test runner and pnpm for package management.

Which database connectors can I test with this skill?

The skill supports testing for PostgreSQL, MySQL, MariaDB, SQL Server, and SQLite, along with JSON RPC integrations.

Can I run tests for a single database type instead of the whole suite?

Absolutely. The skill includes specific commands to run tests for individual database connectors, such as pnpm test for just the postgres.integration.test.ts file.

DBHub Database Testing

Name: DBHub Database Testing
Author: Activer007

byActiver007

Security & Testing

Automates and troubleshoots unit and integration tests for database connectors using Testcontainers and Vitest.

About

This skill empowers Claude to manage the comprehensive testing lifecycle for the DBHub project, specializing in complex integration tests that utilize Testcontainers for real-world database environments. It provides specialized guidance for running unit tests, debugging container startup issues, and verifying specific database connectors like PostgreSQL, MySQL, and SQL Server. By automating environment checks and providing targeted troubleshooting for Docker resource constraints and timeout issues, it ensures high-quality code changes and reliable database interactions.

Key Features

Targeted testing for specific connectors including Postgres, MySQL, and SQL Server
Verbose debugging patterns for investigating CI/CD and local test failures
Database container lifecycle management using Testcontainers
Automated execution of unit and integration tests via pnpm and Vitest
0 GitHub stars
Proactive troubleshooting for Docker memory allocation and container startup issues

Use Cases

Verifying new database connector features across multiple SQL dialects
Debugging complex integration test failures related to Docker or network connectivity
Optimizing test performance by isolating specific database test suites

About

Key Features

Targeted testing for specific connectors including Postgres, MySQL, and SQL Server
Verbose debugging patterns for investigating CI/CD and local test failures
Database container lifecycle management using Testcontainers
Automated execution of unit and integration tests via pnpm and Vitest
0 GitHub stars
Proactive troubleshooting for Docker memory allocation and container startup issues

Use Cases

Verifying new database connector features across multiple SQL dialects
Debugging complex integration test failures related to Docker or network connectivity
Optimizing test performance by isolating specific database test suites