Is it compatible with non-English codebases?

Yes, the skill is specifically designed to handle both English and Japanese domain terminology, making it ideal for international development teams.

How does it extract business terms?

It parses class names, function names, and docstrings (JSDoc/Pydoc), breaking down CamelCase and snake_case strings to identify core domain terminology.

Can it generate visual diagrams?

Yes, it includes specialized scripts to generate Mermaid ER diagrams that visualize conceptual relationships and inheritance between entities.

Which programming languages are supported?

The skill currently supports TypeScript (classes/interfaces), Python (dataclasses/Pydantic), and various database ORMs like Prisma, TypeORM, and SQLAlchemy.

Domain Discovery & Documentation

Name: Domain Discovery & Documentation
Author: thkt

bythkt

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Learning & Documentation

Generates comprehensive domain understanding documentation by analyzing codebases to extract entities, business logic, and conceptual relationships.

About

This skill automates the complex task of reverse-engineering business logic and domain structures from existing code. By scanning source files, it identifies core entities, data models, and service layers to construct a structured overview of a project's domain. It is particularly useful for onboarding new developers, auditing legacy systems, or synchronizing technical implementation with business requirements through automated glossary generation and Mermaid ER diagrams. The skill supports multiple languages and frameworks, providing a standardized bridge between code and conceptual design.

Key Features

Automated entity and data model extraction for TypeScript, Python, and SQL
Bilingual support for Japanese and English technical documentation
3 GitHub stars
Domain-specific glossary generation from identifiers and source comments
Context-aware analysis of business logic within services and handlers
Visual relationship mapping using Mermaid ER diagram generation

Use Cases

Auditing domain logic consistency and relationships during large-scale refactors
Maintaining up-to-date technical documentation for stakeholders and product owners
Accelerating onboarding for new team members by providing instant domain maps

About

Key Features

Automated entity and data model extraction for TypeScript, Python, and SQL
Bilingual support for Japanese and English technical documentation
3 GitHub stars
Domain-specific glossary generation from identifiers and source comments
Context-aware analysis of business logic within services and handlers
Visual relationship mapping using Mermaid ER diagram generation

Use Cases

Auditing domain logic consistency and relationships during large-scale refactors
Maintaining up-to-date technical documentation for stakeholders and product owners
Accelerating onboarding for new team members by providing instant domain maps