Data Model Creation
Helps with data, data modeling, creation as part of working with databases and data persistence workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add data-model-creation npx -- -y @trustedskills/data-model-creation
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"data-model-creation": {
"command": "npx",
"args": [
"-y",
"@trustedskills/data-model-creation"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The data-model-creation skill enables AI agents to design and generate database schemas based on user input. It supports defining relationships, fields, and constraints for relational or NoSQL databases, making it ideal for developers setting up new projects or refining existing ones.
When to use it
- You need to create a database schema from scratch for a new application.
- You want to convert an existing data structure into a formal database model.
- Your team is migrating data between different database systems and needs a structured mapping.
- You're prototyping and require quick, accurate database models for testing.
Key capabilities
- Generates relational or NoSQL schema definitions
- Maps user-defined entities and relationships
- Supports common database types (e.g., MySQL, MongoDB)
- Provides validation rules for data integrity
Example prompts
- "Create a database model for an e-commerce platform with users, products, and orders."
- "Convert this JSON structure into a relational database schema."
- "Design a NoSQL model for storing user activity logs."
Tips & gotchas
- Ensure your input includes clear definitions of entities and relationships to get accurate results.
- While the skill supports multiple databases, you may need to manually adjust generated models for specific system requirements.
Tags
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