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seed-data

Generate test seed data and factory definitions across six named scenarios.

6|1|Updated Feb 25, 2026
Search Tags:#testing#qa#test data#seed data#fixtures#factories#database seeding
One-click install
npx skills add https://github.com/vibbs/company-os --skill seed-data-vibbs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: seed-data
Source: https://github.com/vibbs/company-os/tree/main/.claude/skills/seed-data
Command: npx skills add https://github.com/vibbs/company-os --skill seed-data-vibbs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of comprehensive test data, ensuring your applications are thoroughly tested across all possible scenarios, from empty states to high-volume loads.

Core Features & Use Cases

  • Scenario-Based Generation: Creates data for empty, minimal, nominal, edge-cases, high-volume, and error-states.
  • Tech-Stack Agnostic: Generates seed files and factories appropriate for JS/TS, Python, Go, or SQL-only projects.
  • Use Case: Before a major release, use this Skill to generate a high-volume dataset that mimics production traffic, allowing you to run performance benchmarks and identify bottlenecks before they impact users.

Quick Start

Generate nominal seed data for the application using the seed-data skill.

Frequently Asked Questions about seed-data

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate realistic test data for different application scenarios?▼

To generate realistic test data, this Skill creates comprehensive seed files and factory definitions across six named scenarios: empty, minimal, nominal, edge-cases, high-volume, and error-states. It discovers domain entities directly from your codebase and PRD criteria.

Can I create database seeding scripts for a Python or Go project?▼

Yes, you can create database seeding scripts for Python or Go projects. The Skill is tech-stack agnostic, generating appropriate seed files and factories tailored for JS/TS, Python, Go, or SQL-only environments based on your specific stack.

What is the best way to generate high-volume test data for performance benchmarking?▼

The best way to generate high-volume test data is using the high-volume scenario feature, which produces datasets that mimic production traffic. This allows you to run performance benchmarks and identify bottlenecks before a major release.

Does the generated seed data include edge cases and error states?▼

Yes, the generated seed data includes edge cases and error states. The Skill explicitly covers six scenarios, ensuring your applications are thoroughly tested against empty states, edge-cases, and error-states alongside nominal and minimal data.

How do I build fixtures and factories based on my existing codebase?▼

You can build fixtures and factories by letting the Skill discover domain entities from your codebase and PRD criteria. It analyzes your project structure to produce tech-stack-appropriate seed files and a comprehensive seed-data catalog artifact.

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