What kind of documentation does it generate?

It generates a standardized data-model.md file that includes entity summaries, attribute tables, relationship diagrams, and state machine transitions.

Can it model complex state transitions?

Absolutely. It identifies status-based fields and generates state machine documentation to ensure that business logic and valid transitions are clearly defined.

How does it handle sensitive information?

The skill includes a built-in PII identification system that marks sensitive fields like emails, phone numbers, and SSNs during the modeling process.

Does this skill work with existing databases?

Yes, it includes specific patterns for brownfield projects to extend, rename, or reuse existing entities while maintaining documentation clarity.

Domain Entity Modeling

Name: Domain Entity Modeling
Author: deepeshBodh

bydeepeshBodh

•

Database Management

Models domain entities from requirements using Domain-Driven Design (DDD) principles to define attributes, relationships, and state machines.

About

This skill enables Claude Code to transform high-level requirements into structured domain models by applying industry-standard DDD patterns. It facilitates entity identification, attribute definition using conceptual types, and complex relationship mapping including cardinality and direction. Beyond basic modeling, it helps developers document state machine lifecycles for stateful entities and identify PII for security compliance, making it an essential tool for maintaining clean architecture in both greenfield and existing brownfield projects.

Key Features

Automated state machine modeling for complex entity lifecycles and workflows
Comprehensive relationship modeling (1:1, 1:N, N:M) with cardinality documentation
7 GitHub stars
Sensitive data (PII) identification and tagging for data privacy compliance
Heuristic-based entity identification from user stories and requirements
Brownfield project support for extending or reusing existing data structures

Use Cases

Extending legacy databases by mapping new entities to existing tables safely
Architecting the initial data schema for a new feature or microservice
Documenting complex business logic workflows through visual state transitions

About

Key Features

Automated state machine modeling for complex entity lifecycles and workflows
Comprehensive relationship modeling (1:1, 1:N, N:M) with cardinality documentation
7 GitHub stars
Sensitive data (PII) identification and tagging for data privacy compliance
Heuristic-based entity identification from user stories and requirements
Brownfield project support for extending or reusing existing data structures

Use Cases

Extending legacy databases by mapping new entities to existing tables safely
Architecting the initial data schema for a new feature or microservice
Documenting complex business logic workflows through visual state transitions