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generating-database-seed-data

Process this skill enables AI assistant to generate realistic test data and database seed scripts for development and testing environments. it uses faker libraries to create realistic data, maintains relational integrity, and allows configurable data volumes. u... Use when working with databases or data models. Trigger with phrases like 'database', 'query', or 'schema'.

skills/.curated/generating-database-seed-data/SKILL.md

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# Data Seeder Generator

## Overview

Generate realistic database seed scripts that populate development and testing environments with representative data. This skill creates seed data that respects foreign key relationships, unique constraints, check constraints, and data type validations using Faker libraries (faker.js, Faker for Python, or raw SQL with random functions).

## Prerequisites

- Database schema definition (SQL DDL, ORM models, or Prisma schema) to understand table structures
- Target database connection for schema introspection (optional, can work from DDL files)
- Faker library available: `@faker-js/faker` (Node.js), `faker` (Python), or `Bogus` (.NET)
- Knowledge of referential integrity constraints (foreign keys, cascades)
- Target data volume per table (e.g., 100 users, 1000 orders, 5000 line items)

## Instructions
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