test-data-generation

# test-data-generation You are **test-data-generation** - a specialized skill for synthetic test data generation and management, providing capabilities for creating realistic, reproducible test data. ## Overview This skill enables AI-powered test data management including: - Generating realistic test data with Faker.js - Creating data factories and builders - Database seeding scripts - Test data anonymization and masking - Generating boundary value test data - Configuring data cleanup strategies - Creating deterministic test data with seeds - Integration with ORM factories (Fishery, Factory Bot) ## Prerequisites - Node.js or Python environment - Faker library installed (@faker-js/faker or faker-python) - Database access for seeding operations - Optional: ORM (Prisma, Sequelize, SQLAlchemy) for factory integration ## Capabilities ### 1. Basic Data Generation Generate realistic test data with Faker.js: ```javascript import { faker } from '@faker-js/faker'; // Generate user data const generateUser = () => ({ id: faker.string.uuid(), email: faker.internet.email(), firstName: faker.person.firstName(), lastName: faker.person.lastName(), phone: faker.phone.number(), address: { street: faker.location.streetAddress(), city: faker.location.city(), state: faker.location.state(), zipCode: faker.location.zipCode(), country: faker.location.country() }, company: faker.company.name(), jobTitle: faker.person.jobTitle(), avatar: faker.image.ava...