What script formats can this skill generate?

It can generate various formats including raw SQL insert statements, JavaScript scripts using TypeORM, and other common ORM seeding patterns based on your project structure.

Can I specify exactly how many records I need?

Yes, you can explicitly request specific volumes, such as 'Generate 50 users' or 'Create a large dataset for performance testing,' and the skill will scale accordingly.

Does it use real production data?

No, it uses Faker libraries to generate realistic but entirely synthetic data, ensuring privacy and security while maintaining the structure of real information.

How does the skill handle foreign key relationships?

The skill analyzes your database schema to identify table relationships and ensures that generated data maintains valid foreign key links across all tables.

Database Seeder & Data Generator

Name: Database Seeder & Data Generator
Author: intent-solutions-io

byintent-solutions-io

데이터베이스 관리

Generates realistic, schema-aware test data and database seed scripts to populate development and testing environments.

소개

This skill empowers Claude to automate the creation of high-quality database seed scripts by analyzing existing schemas and leveraging Faker libraries. It maintains complex relational integrity across foreign keys while allowing users to configure data volumes, making it an essential tool for developers who need to quickly set up realistic environments for testing, demonstrations, or local development workflows. By automating the tedious process of writing insert statements, it ensures that your application has believable data that respects all database constraints.

주요 기능

0 GitHub stars
Schema-aware data generation using Faker libraries
Supports multiple formats including SQL, JavaScript, and TypeORM
Configurable data volumes for small or large-scale testing
Maintains complex relational integrity and foreign key constraints
Automated schema analysis to match data types and constraints

사용 사례

Generating edge-case datasets for automated integration and UI testing
Creating idempotent seed scripts for rapid environment resets and demos
Populating local development databases with realistic user and product profiles

소개

주요 기능

0 GitHub stars
Schema-aware data generation using Faker libraries
Supports multiple formats including SQL, JavaScript, and TypeORM
Configurable data volumes for small or large-scale testing
Maintains complex relational integrity and foreign key constraints
Automated schema analysis to match data types and constraints

사용 사례

Generating edge-case datasets for automated integration and UI testing
Creating idempotent seed scripts for rapid environment resets and demos
Populating local development databases with realistic user and product profiles