test-data-generation
Synthetic test data generation and management using Faker.js and similar tools. Generate realistic test data, create data factories, implement database seeding, and manage test data anonymization.
npx skills add a5c-ai/babysitter --skill test-data-generation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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: fak
- Overview
- Prerequisites
- Capabilities
- 1. Basic Data Generation
- 2. Data Factory Pattern
- 3. Fishery Factory (TypeScript)
- 4. Database Seeding
- 5. Boundary Value Generation
- 6. Data Anonymization
- 7. Multi-Locale Support
- 8. Deterministic Data with Seeds
- MCP Server Integration
- Best Practices
- Process Integration
What does the test-data-generation skill do?
Synthetic test data generation and management using Faker.js and similar tools. Generate realistic test data, create data factories, implement database seeding, and manage test data anonymization.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill test-data-generation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.