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Test Data Generation

aj-geddes/useful-ai-prompts

Solid foundation for generating test data without hardcoding values everywhere. Covers the main approaches: factories with overrides for simple cases, builders for complex nested objects, fixtures for integration test setup, and faker libraries for realistic looking data. The examples show JavaScript but the patterns translate directly to other languages. Most useful when you're tired of maintaining brittle test data across dozens of test files or need to spin up varied test scenarios quickly. The factory pattern guide is the strongest part, though I wish there were more examples of handling relational data and unique constraints. Worth using if you're past the "just inline some objects" phase of testing.

skills.sh installs
502
GitHub stars
379
last updated
Aug 21, 2026
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Install

$ npx -y skills add aj-geddes/useful-ai-prompts --skill test-data-generation --agent claude-code

Installs into .claude/skills of the current project.

Files

Test Data Generation

Table of Contents

Overview

Test data generation creates realistic, consistent, and maintainable test data for automated testing. Well-designed test data reduces test brittleness, improves readability, and makes it easier to create diverse test scenarios.

When to Use

  • Creating fixtures for integration tests
  • Generating fake data for development databases
  • Building test data with complex relationships
  • Creating realistic user inputs for testing
  • Seeding test databases
  • Generating edge cases and boundary values
  • Building reusable test data factories

Quick Start

Minimal working example:

// tests/factories/userFactory.js
const { faker } = require("@faker-js/faker");
SKILL.md on GitHub

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Details

Repository
github.com/aj-geddes/useful-ai-prompts
Categories
Testing & QA, AI & Agent Building
First seen
Jun 3, 2026

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