Can I use it to document multi-column constraints?

Yes, the skill includes a specific format for adding multi-column constraints immediately following the attribute tables.

Does this skill add attributes to the Mermaid diagram?

No, per its design principles, the Mermaid diagram focus strictly on entity relationships to maintain visual clarity, while attributes are detailed in dedicated tables.

What kind of data types are supported?

The skill supports standard database types including Long, String, Integer, Decimal, Boolean, Date, and DateTime with specific length and precision guidelines.

How does it handle validation rules?

It uses a standardized set of rules such as Primary Key/Sequence, Not Null, Unique, Foreign Key references, and range/value constraints to ensure data integrity.

AI Data Modeler

Name: AI Data Modeler
Author: martinellich

bymartinellich

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Gestión de Bases de Datos

Generates comprehensive entity model documentation featuring Mermaid.js ER diagrams and standardized attribute tables.

Acerca de

The Data Modeler skill streamlines the database design process within Claude Code by automating the creation of professional entity-relationship documentation. It enforces a strict, clean documentation structure that separates high-level relationship visualization via Mermaid.js from granular technical specifications. By providing pre-defined data types and validation rules, it ensures that every entity is documented with consistent precision, making it an essential tool for software architects and developers transitioning from requirements to implementation.

Características Principales

Standardized 5-column attribute tables for rigorous data definition.
Structured validation rules for primary keys, foreign keys, and constraints.
4 GitHub stars
Todo-driven workflow to ensure complete coverage of all required entities.
Automated Mermaid.js ER diagram generation focused on entity relationships.
Built-in reference for SQL-compatible data types and lengths.

Casos de Uso

Converting functional requirements into technical database schemas.
Creating visual architecture maps for complex data relationships.
Generating documentation for database-first development workflows.

Acerca de

Características Principales

Standardized 5-column attribute tables for rigorous data definition.
Structured validation rules for primary keys, foreign keys, and constraints.
4 GitHub stars
Todo-driven workflow to ensure complete coverage of all required entities.
Automated Mermaid.js ER diagram generation focused on entity relationships.
Built-in reference for SQL-compatible data types and lengths.

Casos de Uso

Converting functional requirements into technical database schemas.
Creating visual architecture maps for complex data relationships.
Generating documentation for database-first development workflows.