Can I generate data without an existing schema?

Yes, the GENERATE mode allows you to create seed data from simple entity definitions or use a provided starter template for Users and Roles.

What programming languages and formats are supported?

It generates seed files for C# (Bogus), TypeScript (Faker.js), Python (Faker), as well as raw JSON and SQL formats.

Does it handle complex relational dependencies?

Yes, it manages the generation order based on entity relationships, ensuring parent records exist before child records with valid foreign key references.

Which ORMs are supported for schema migration?

The skill supports major ORMs including Prisma, Drizzle, TypeORM, EF Core, SQLAlchemy, and Django ORM.

Is the generated data consistent across multiple runs?

Absolutely. The generator uses deterministic seeding with a fixed value to ensure the exact same dataset is produced every time you run it.

Universal Seed Data Generator

Name: Universal Seed Data Generator
Author: levnikolaevich

bylevnikolaevich

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147

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Database Management

Generates realistic, deterministic seed data from ORM schemas or entity definitions across multiple languages and formats.

This skill automates the creation of production-ready seed data by either parsing existing ORM schemas (Prisma, Drizzle, EF Core, etc.) or generating datasets from new entity definitions. It ensures data integrity by managing complex foreign key relationships and utilizing faker libraries to produce realistic, deterministic samples. Ideal for developers needing to bootstrap databases or create consistent mock data for integration testing in C#, TypeScript, Python, JSON, or SQL environments.

Key Features

01Cross-Language Output: Generates target-specific code for C# (Bogus), TypeScript (Faker.js), Python (Faker), JSON, and SQL.

02Deterministic Seeding: Employs fixed seed values (42) to ensure reproducible and consistent datasets across runs.

03Relationship Intelligence: Automatically handles entity dependencies, ensuring parents are generated before children with valid foreign keys.

04147 GitHub stars

05Multi-ORM Support: Automatically detects and parses schemas from Drizzle, Prisma, TypeORM, EF Core, SQLAlchemy, and Django.

06Realistic Data Generation: Replaces random strings with human-readable, context-aware data using industry-standard faker libraries.

Use Cases

01Quickly bootstrapping new development environments with realistic sample users, roles, and business entities.

02Generating large-scale, valid datasets for performance benchmarking and API demonstration environments.

03Transforming existing database schemas into mock data providers for automated integration and UI testing.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add levnikolaevich/claude-code-skills ln-723-seed-data-generator

For use in Claude.ai and ChatGPT

Download Skill