Can I use the generated data for automated tests?

Absolutely. The data can be outputted as JSON, CSV, or code fixtures suitable for unit, integration, and E2E testing suites.

Are the generated results reproducible?

Yes, by using seed values, you can ensure the generator produces the exact same dataset across different runs, which is critical for consistent testing.

Does it support localized data like international addresses?

Yes, you can specify the desired locale to ensure names, addresses, and phone numbers match specific regional formats.

Can I generate data for custom database schemas?

Yes, the skill can generate data based on specific schemas or data models provided in your prompt or within your project files.

Test Data Generator

Name: Test Data Generator
Author: BbgnsurfTech

byBbgnsurfTech

•

보안 및 테스팅

Generates realistic, schema-compliant test data for software development, database population, and automated testing.

소개

The Test Data Generator skill empowers developers to quickly create diverse and realistic datasets, including user profiles, product catalogs, and transactional records. By leveraging the test-data-generator plugin, Claude can produce structured data in formats like JSON that adhere to specific schemas or business logic. This skill is ideal for populating testing environments, conducting load tests, or creating convincing demonstration data while maintaining data privacy by avoiding the use of real production data.

주요 기능

Schema-based custom data generation
3 GitHub stars
Support for locale-specific formatting (names, addresses, phones)
Structured output ready for database insertion or API fixtures
Seed values for reproducible test results across runs
Realistic user, product, and transaction mockups

사용 사례

Populating development databases with mock user profiles and transaction history
Creating localized sample data for client demonstrations and UI/UX walkthroughs
Generating high-volume datasets for performance and load testing scenarios

소개

주요 기능

Schema-based custom data generation
3 GitHub stars
Support for locale-specific formatting (names, addresses, phones)
Structured output ready for database insertion or API fixtures
Seed values for reproducible test results across runs
Realistic user, product, and transaction mockups

사용 사례

Populating development databases with mock user profiles and transaction history
Creating localized sample data for client demonstrations and UI/UX walkthroughs
Generating high-volume datasets for performance and load testing scenarios