Does it support relationships between different models?

Yes, it can generate nested factories and provides helper methods like 'buildWithUser' to create entities with their associated dependencies automatically.

What dependencies are added to my project?

The generated factories rely on @faker-js/faker. The skill can automatically suggest adding this to your project's devDependencies if it is missing.

How does it handle realistic data generation?

It utilizes semantic mapping to match specific field names like 'email', 'name', or 'address' to corresponding Faker.js methods for realistic output.

What sources can the Generate Factory skill use?

It can generate factories from TypeScript interfaces, Prisma schemas, JSON Schemas, database migrations, and OpenAPI specifications.

Can I use this for reproducible tests?

Yes, the skill includes a deterministic mode that allows you to set a specific seed for Faker.js, ensuring consistent data across every test run.

Test Data Factory Generator

Name: Test Data Factory Generator
Author: jmagly

byjmagly

•

Seguridad y Pruebas

Auto-generates robust, Faker.js-powered test data factories from TypeScript interfaces, Prisma schemas, and model definitions to streamline test infrastructure.

The Generate Factory skill automates the creation of test data infrastructure by analyzing existing codebases to produce realistic, dynamic factories. By mapping types and semantic field names to specific Faker.js methods, it eliminates the need for manual, hard-coded fixtures and reduces test setup boilerplate by up to 60%. This skill supports advanced testing patterns including entity traits, complex relationships, and deterministic data generation, ensuring that your test suites remain maintainable and synchronized with your evolving schemas and models.

Características Principales

01Batch generation capabilities for entire model directories

02Support for complex entity relationships and reusable traits

03Deterministic mode for reproducible, seed-based test results

04Schema-aware generation from TypeScript, Prisma, and JSON schemas

05Semantic field mapping for realistic Faker.js data generation

0667 GitHub stars

Casos de Uso

01Automating test data updates following major database schema migrations

02Rapidly setting up test infrastructure for new projects with complex data models

03Modernizing legacy test suites by replacing hard-coded fixtures with dynamic factories

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jmagly/ai-writing-guide generate-factory

For use in Claude.ai and ChatGPT

Download Skill