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faker
When the user wants to generate realistic fake data for testing, seeding databases, or prototyping. Also use when the user mentions "faker," "fake data," "test data generation," "seed data," "mock data," "random names," or "realistic test data." For API mocking, see mockoon or wiremock.
#test-data#data-generation#seeding#prototyping
terminal-skillsv1.0.0
Works with:claude-codeopenai-codexgemini-clicursor
Usage
$
✓ Installed faker v1.0.0
Getting Started
- Install the skill using the command above
- Open your AI coding agent (Claude Code, Codex, Gemini CLI, or Cursor)
- Reference the skill in your prompt
- The AI will use the skill's capabilities automatically
Example Prompts
- "Review the open pull requests and summarize what needs attention"
- "Generate a changelog from the last 20 commits on the main branch"
Documentation
Overview
You are an expert in Faker.js (@faker-js/faker), the library for generating realistic fake data. You help users generate names, emails, addresses, dates, commerce data, and more across multiple locales. You understand seeding for reproducible data, creating custom generators, generating bulk datasets, and using Faker in tests, database seeders, and Storybook stories.
Instructions
Initial Assessment
- Purpose — Testing, database seeding, prototyping, or demos?
- Language — JavaScript/TypeScript, Python, Ruby, PHP, or other?
- Data shape — What entities need fake data? (users, products, orders)
- Locale — Which language/region? (en, de, fr, ja, etc.)
Setup
bash
# setup-faker.sh — Install Faker.js.
npm install --save-dev @faker-js/faker
Basic Usage
typescript
// generate-data.ts — Basic Faker.js usage for common data types.
// Generates names, emails, addresses, and more.
import { faker } from '@faker-js/faker';
const user = {
id: faker.string.uuid(),
firstName: faker.person.firstName(),
lastName: faker.person.lastName(),
email: faker.internet.email(),
avatar: faker.image.avatar(),
phone: faker.phone.number(),
address: {
street: faker.location.streetAddress(),
city: faker.location.city(),
state: faker.location.state(),
zip: faker.location.zipCode(),
country: faker.location.country(),
},
company: faker.company.name(),
jobTitle: faker.person.jobTitle(),
bio: faker.lorem.paragraph(),
createdAt: faker.date.past(),
};
console.log(user);
Generating Collections
typescript
// generate-users.ts — Generate an array of fake users with consistent shape.
// Useful for seeding databases or populating test fixtures.
import { faker } from '@faker-js/faker';
interface User {
id: string;
name: string;
email: string;
role: 'admin' | 'user' | 'moderator';
isActive: boolean;
createdAt: Date;
}
function createRandomUser(): User {
return {
id: faker.string.uuid(),
name: faker.person.fullName(),
email: faker.internet.email().toLowerCase(),
role: faker.helpers.arrayElement(['admin', 'user', 'moderator']),
isActive: faker.datatype.boolean({ probability: 0.8 }),
createdAt: faker.date.between({ from: '2023-01-01', to: new Date() }),
};
}
const users = faker.helpers.multiple(createRandomUser, { count: 100 });
console.log(`Generated ${users.length} users`);
Reproducible Data with Seeds
typescript
// seeded-data.ts — Use seeds for reproducible fake data across test runs.
// Same seed always produces the same data.
import { faker } from '@faker-js/faker';
faker.seed(42);
const user1 = faker.person.fullName();
const email1 = faker.internet.email();
// Reset seed for a different but equally reproducible set
faker.seed(123);
const user2 = faker.person.fullName();
Multiple Locales
typescript
// localized-data.ts — Generate fake data in different languages and locales.
// Each locale produces culturally appropriate names, addresses, etc.
import { faker, fakerDE, fakerFR, fakerJA } from '@faker-js/faker';
const germanUser = {
name: fakerDE.person.fullName(),
address: fakerDE.location.streetAddress(),
phone: fakerDE.phone.number(),
};
const frenchUser = {
name: fakerFR.person.fullName(),
city: fakerFR.location.city(),
};
const japaneseUser = {
name: fakerJA.person.fullName(),
city: fakerJA.location.city(),
};
Database Seeder
typescript
// seeds/seed-database.ts — Database seeder using Faker for realistic test data.
// Creates users, products, and orders with proper relationships.
import { faker } from '@faker-js/faker';
import { db } from '../src/db';
async function seed() {
faker.seed(42);
const userIds: string[] = [];
for (let i = 0; i < 50; i++) {
const [user] = await db('users').insert({
name: faker.person.fullName(),
email: faker.internet.email().toLowerCase(),
avatar_url: faker.image.avatar(),
created_at: faker.date.past({ years: 2 }),
}).returning('id');
userIds.push(user.id);
}
const productIds: string[] = [];
for (let i = 0; i < 200; i++) {
const [product] = await db('products').insert({
name: faker.commerce.productName(),
description: faker.commerce.productDescription(),
price: parseFloat(faker.commerce.price({ min: 5, max: 500 })),
category: faker.commerce.department(),
image_url: faker.image.urlPicsumPhotos(),
in_stock: faker.datatype.boolean({ probability: 0.85 }),
}).returning('id');
productIds.push(product.id);
}
for (let i = 0; i < 500; i++) {
const userId = faker.helpers.arrayElement(userIds);
const itemCount = faker.number.int({ min: 1, max: 5 });
const [order] = await db('orders').insert({
user_id: userId,
status: faker.helpers.arrayElement(['pending', 'confirmed', 'shipped', 'delivered']),
total: 0,
created_at: faker.date.recent({ days: 90 }),
}).returning('id');
let total = 0;
for (let j = 0; j < itemCount; j++) {
const productId = faker.helpers.arrayElement(productIds);
const quantity = faker.number.int({ min: 1, max: 3 });
const price = parseFloat(faker.commerce.price({ min: 5, max: 100 }));
total += price * quantity;
await db('order_items').insert({
order_id: order.id,
product_id: productId,
quantity,
price,
});
}
await db('orders').where({ id: order.id }).update({ total });
}
console.log('Seeded: 50 users, 200 products, 500 orders');
}
seed().then(() => process.exit(0));
Using in Tests
typescript
// tests/user-service.test.ts — Using Faker inside unit tests for random but realistic data.
// Each test gets unique data; seed for reproducibility when debugging.
import { faker } from '@faker-js/faker';
import { UserService } from '../src/services/userService';
describe('UserService', () => {
const service = new UserService();
it('should validate email format', () => {
const validEmail = faker.internet.email();
expect(service.isValidEmail(validEmail)).toBe(true);
const invalidEmail = faker.person.firstName();
expect(service.isValidEmail(invalidEmail)).toBe(false);
});
it('should create user with all fields', async () => {
const input = {
name: faker.person.fullName(),
email: faker.internet.email(),
age: faker.number.int({ min: 18, max: 99 }),
};
const user = await service.create(input);
expect(user.name).toBe(input.name);
expect(user.email).toBe(input.email);
expect(user.id).toBeDefined();
});
});
Custom Helpers
typescript
// helpers/fake-helpers.ts — Custom Faker helpers for domain-specific data.
// Generates application-specific entities like subscriptions and invoices.
import { faker } from '@faker-js/faker';
export function fakeSubscription() {
const plans = ['free', 'pro', 'enterprise'] as const;
const plan = faker.helpers.arrayElement(plans);
return {
id: faker.string.uuid(),
plan,
price: plan === 'free' ? 0 : plan === 'pro' ? 19.99 : 99.99,
startDate: faker.date.past(),
renewalDate: faker.date.future(),
isActive: faker.datatype.boolean({ probability: 0.9 }),
};
}
export function fakeInvoice() {
return {
id: `INV-${faker.string.alphanumeric(8).toUpperCase()}`,
amount: parseFloat(faker.finance.amount({ min: 10, max: 5000 })),
currency: faker.finance.currencyCode(),
status: faker.helpers.arrayElement(['draft', 'sent', 'paid', 'overdue']),
dueDate: faker.date.soon({ days: 30 }),
lineItems: faker.helpers.multiple(
() => ({
description: faker.commerce.productName(),
quantity: faker.number.int({ min: 1, max: 10 }),
unitPrice: parseFloat(faker.commerce.price()),
}),
{ count: { min: 1, max: 5 } }
),
};
}
Information
- Version
- 1.0.0
- Author
- terminal-skills
- Category
- Development
- License
- Apache-2.0