Does this skill respect foreign key constraints?

Yes, the skill analyzes your database schema to ensure all generated data maintains proper relational integrity and respects constraints across all tables.

Is the generated data random or realistic?

The data is realistic. It uses Faker libraries to generate contextually appropriate information like real-looking names, emails, addresses, and dates.

What formats can the seed scripts be generated in?

It can generate scripts in several formats, including standard SQL, JavaScript, and popular ORM formats like TypeORM or Prisma.

Can I specify how many records I need?

Absolutely. You can request specific volumes, such as '100 users with 5 posts each', and the skill will scale the generation accordingly.

Can I use this for existing databases?

Yes, the skill uses tools like Grep and Read to analyze your existing project files and schema definitions before generating the appropriate seeding logic.

Database Data Seeder Generator

Name: Database Data Seeder Generator
Author: jeremylongshore

byjeremylongshore

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884

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Database Management

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

This skill empowers developers to quickly populate databases with high-quality, realistic sample data using Faker libraries while maintaining complex relational integrity. By analyzing existing schemas, it generates consistent records across multiple tables, creates idempotent SQL or JavaScript seed scripts, and allows for configurable data volumes. It is an essential tool for setting up local development environments, powering automated integration tests, and creating believable product demonstrations without using sensitive production data.

Key Features

01Automated schema analysis to understand table structures and constraints

02Configurable data volumes to scale from small samples to large test sets

03Generation of idempotent seed scripts in multiple formats including SQL and TypeORM

04Relational integrity maintenance to ensure valid foreign key connections

05884 GitHub stars

06Realistic data generation using integrated Faker libraries for various data types

Use Cases

01Creating sanitized demonstration environments for stakeholders with realistic-looking content

02Generating consistent and repeatable datasets for automated end-to-end testing suites

03Populating a local development database with believable user, post, and transaction records

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills data-seeder-generator

For use in Claude.ai and ChatGPT

Download Skill