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data-modeler

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Design robust data models with validation.

Software Engineering#schema design#pydantic#validation#type hints#nested models
Authormatteocervelli
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill guides the design of robust, validated data models using Pydantic, ensuring type safety and clear data contracts.

Core Features & Use Cases

  • Pydantic Schema Design: BaseModel structures with validation, defaults, and nested models.
  • Validators & Rules: Field validators, cross-field validation, and error handling patterns.
  • Relation Modeling: Clear guidance on entity relationships and serialization.

Quick Start

Create a comprehensive Pydantic schema for a user-like entity with validation and nested address.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: data-modeler
Download link: https://github.com/matteocervelli/llms/archive/main.zip#data-modeler

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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