How do I ensure the data is consistent across multiple runs?

You can use seed values for reproducible data generation, which ensures the same dataset is produced every time you run the command.

Is the generated data realistic or just random strings?

The data is highly realistic. It generates contextually appropriate names, addresses, prices, and business transactions rather than random characters.

What formats does the generated data come in?

The skill typically outputs data in structured formats like JSON, making it ready for direct use in API request payloads or database import scripts.

Can I use my own database schema with this skill?

Yes, you can provide a custom schema or data model, and the skill will generate data that adheres strictly to your specified structure and data types.

Can I generate data for specific geographic regions?

Yes, the skill supports locale considerations, allowing you to generate data sensitive to regional variations such as phone formats and address structures.

Test Data Generator

Name: Test Data Generator
Author: jeremylongshore

byjeremylongshore

•

883

보안 및 테스팅

Generates realistic, schema-compliant test data to populate databases and simulate user behavior for comprehensive software testing.

소개

This skill enables Claude to produce diverse and high-quality synthetic data sets tailored to specific software development requirements. By leveraging the test-data-generator plugin, it can quickly create everything from simple user profiles to complex transactional histories and custom schema-based records. It is an essential tool for developers needing to populate staging environments, perform load testing, or create reproducible fixtures for automated test suites without compromising real-user privacy.

주요 기능

Generate realistic user profiles with names, emails, and addresses
Create complex product catalogs and order transaction histories
Support for custom schema definitions to match specific data models
Output data in structured formats like JSON for easy integration
Locale-aware generation for regionally specific data points
883 GitHub stars

사용 사례

Generating anonymized datasets for software demonstrations and training
Populating a development database with 1,000+ realistic records for UI testing
Creating mock API responses to simulate edge cases and high-load scenarios

소개

주요 기능

Generate realistic user profiles with names, emails, and addresses
Create complex product catalogs and order transaction histories
Support for custom schema definitions to match specific data models
Output data in structured formats like JSON for easy integration
Locale-aware generation for regionally specific data points
883 GitHub stars

사용 사례

Generating anonymized datasets for software demonstrations and training
Populating a development database with 1,000+ realistic records for UI testing
Creating mock API responses to simulate edge cases and high-load scenarios