generating-test-data
Generate realistic test data including edge cases and boundary conditions. Use when creating realistic fixtures or edge case test data. Trigger with phrases like "generate test data", "create fixtures", or "setup test database".
Install
mkdir -p .claude/skills/generating-test-data && curl -L -o skill.zip "https://mcp.directory/api/skills/download/4770" && unzip -o skill.zip -d .claude/skills/generating-test-data && rm skill.zipInstalls to .claude/skills/generating-test-data
About this skill
Test Data Generator
Overview
Generate realistic, type-safe test data including fixtures, factory functions, seed datasets, and edge case values. Supports Faker.js, Factory Bot patterns, Fishery (TypeScript factories), pytest fixtures, and database seed scripts.
Prerequisites
- Data generation library installed (Faker.js/@faker-js/faker, Fishery, factory-boy for Python, or JavaFaker)
- Database schema or TypeScript/Python type definitions for the data models
- Test framework with fixture support (Jest, pytest, JUnit)
- Seed management for reproducible random data (
faker.seed()) - Database client for seed data insertion (if generating database fixtures)
Instructions
- Read the project's data models, TypeScript interfaces, database schemas, or ORM definitions to understand the shape of all entities.
- For each entity, create a factory function that produces a valid default instance:
- Use Faker methods matched to field semantics (e.g.,
faker.person.fullName()for names,faker.internet.email()for emails). - Provide sensible defaults for required fields.
- Allow overrides via a partial parameter for test-specific customization.
- Set a deterministic seed for reproducibility (
faker.seed(12345)).
- Use Faker methods matched to field semantics (e.g.,
- Generate edge case data variants for each entity:
- Empty values: Empty strings, null, undefined, empty arrays.
- Boundary values: Maximum string length, integer overflow, zero, negative numbers.
- Unicode and i18n: Names with accents, CJK characters, RTL text, emoji.
- Adversarial inputs: SQL injection strings, XSS payloads, excessively long strings.
- Temporal edge cases: Leap years, timezone boundaries, epoch zero, far-future dates.
- Create relationship factories that build connected entity graphs:
- A user factory that also creates associated addresses and orders.
- Configurable depth to avoid infinite recursion.
- Lazy evaluation for optional relationships.
- Generate database seed files for integration tests:
- SQL insert scripts or ORM seed functions.
- Idempotent operations (use
ON CONFLICTorINSERT IF NOT EXISTS). - Separate seed sets for different test scenarios (empty state, populated state, edge cases).
- Write fixture files in JSON, YAML, or TypeScript for static test data:
- Group fixtures by test scenario.
- Include both valid and invalid data sets.
- Validate generated data against the schema to ensure factories remain in sync with model changes.
Output
- Factory function files (one per entity) in
test/factories/ortests/factories/ - Edge case data collections covering boundaries and adversarial inputs
- Database seed scripts for integration test environments
- JSON/YAML fixture files for static test data
- Factory index file exporting all factories for easy test imports
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Factory produces invalid data | Schema changed but factory not updated | Add a validation step that runs the factory output through the schema validator |
| Duplicate unique values | Faker generates collisions in small datasets | Use sequential IDs or append a counter; increase Faker's unique retry limit |
| Database seed fails on foreign key | Seed insertion order violates referential integrity | Sort seed operations topologically by dependency; disable FK checks during seeding |
| Factory recursion overflow | Circular relationships (User -> Order -> User) | Limit relationship depth; use lazy references; break cycles with ID-only references |
| Non-deterministic test failures | Random seed not set consistently | Call faker.seed() in beforeAll or at factory module level; document seed values |
Examples
TypeScript factory with Fishery:
import { Factory } from 'fishery';
import { faker } from '@faker-js/faker';
interface User {
id: string;
name: string;
email: string;
role: 'admin' | 'user';
createdAt: Date;
}
export const userFactory = Factory.define<User>(({ sequence }) => ({
id: `user-${sequence}`,
name: faker.person.fullName(),
email: faker.internet.email(),
role: 'user',
createdAt: faker.date.past(),
}));
// Usage:
const user = userFactory.build();
const admin = userFactory.build({ role: 'admin' });
const users = userFactory.buildList(10);
pytest fixture factory:
import pytest
from faker import Faker
fake = Faker()
Faker.seed(42)
@pytest.fixture
def make_user():
def _make_user(**overrides):
defaults = {
"name": fake.name(),
"email": fake.email(),
"age": fake.random_int(min=18, max=99),
}
return {**defaults, **overrides}
return _make_user
def test_user_validation(make_user):
user = make_user(age=17)
assert validate_age(user) is False
Edge case data collection:
export const edgeCases = {
strings: ['', ' ', '\t\n', 'a'.repeat(10000), '<script>alert(1)</script>', # 10000: 10 seconds in ms
"Robert'); DROP TABLE users;--", '\u0000null\u0000byte'],
numbers: [0, -0, -1, Number.MAX_SAFE_INTEGER, NaN, Infinity, -Infinity],
dates: [new Date(0), new Date('2024-02-29'), new Date('9999-12-31')], # 2024: 9999 = configured value
};
Resources
- Faker.js: https://fakerjs.dev/
- Fishery (TypeScript factories): https://github.com/thoughtbot/fishery
- factory_boy (Python): https://factoryboy.readthedocs.io/
- Chance.js: https://chancejs.com/
- Test data management patterns: https://martinfowler.com/bliki/ObjectMother.html
More by jeremylongshore
View all skills by jeremylongshore →You might also like
flutter-development
aj-geddes
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
drawio-diagrams-enhanced
jgtolentino
Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.
ui-ux-pro-max
nextlevelbuilder
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."
godot
bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
nano-banana-pro
garg-aayush
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
fastapi-templates
wshobson
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Related MCP Servers
Browse all serversEffortlessly create 25+ chart types with MCP Server Chart. Visualize complex datasets using TypeScript and AntV for powe
Transform any OpenAPI specification into callable tools. Easily test an API, handle authentication, and generate schemas
Create interactive visualizations and charts with VChart, a powerful data analysis tool and pie chart maker for flexible
Access and analyze US Treasury financial data, including 10 year treasury graphs, historical yields, and bond prices usi
Access organized Next.js documentation on routing, API routes, deployment & more. Find the latest Next.js doc resources
Analyze test data on Sauce Labs, including urine test results, urinary analysis results, and blood test vitamin B12 for
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.