siteseed
CommunitySeamless web app data seeding and testing automation.
Authorgarricn
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the process of discovering an app's data model, generating realistic test data, and efficiently populating web applications for testing and development purposes.
Core Features & Use Cases
- Data Model Discovery: Extracts app schemas from OpenAPI specifications or UI forms to understand data relationships.
- Realistic Data Generation: Creates authentic-looking data tailored to each field's type and constraints.
- Automated Seeding: Seeds data via API calls or form filling, enabling rapid environment setup for testing, demos, or development.
- Use Case: Developers can initialize a staging environment with representative data, perform end-to-end testing, and iterate faster by mimicking real user data.
Quick Start
Use siteseed to discover the data model from your API, plan the seed size, and automatically populate your app with realistic data.
Dependency Matrix
Required Modules
@faker-js/faker@modelcontextprotocol/sdkjs-yamlzod
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: siteseed Download link: https://github.com/garricn/siteseed/archive/main.zip#siteseed Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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