db-seeder

What problem does it solve?

Manually populating databases with realistic test data for development, testing, or staging environments is time-consuming and often leads to inconsistent data. This skill automates the generation and seeding of diverse, fake data, ensuring consistent and production-like environments.

Core Features & Use Cases

• Multi-Database Support: Seed PostgreSQL, MySQL, SQLite, and MongoDB using ORM-based patterns (SQLAlchemy, Django, Prisma).
• Realistic Data Generation: Leverage the Faker library to create diverse and localized fake data, including Vietnamese-specific content.
• Automated Schema Inspection: Automatically analyze your database schema to generate factory functions and JSON fixture templates.
• Use Case: Quickly populate a local development database with 100 users and 500 posts, or generate a consistent set of test fixtures for your CI/CD pipeline, complete with foreign key relationships.

Quick Start

Ask the db-seeder skill to automatically detect my database configuration and suggest a command to seed it with 50 candidates.