Domain Modeling

Community

rsmdt

domain-modeling

Unified domain and data modeling for business entities, invariants, schema design, aggregate boundaries, and evolution strategy. Use when designing business models, schema changes, bounded contexts, or consistency rules.

Overview

Publisher	rsmdt
Repository	`the-startup`
Skill name	`domain-modeling`
Stars	564
Forks	71
Bundled files	3
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by rsmdt on GitHub. Read the source before you install it.

Installation

Install the Domain Modeling AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/rsmdt/the-startup/tree/main/plugins/team/skills/development/domain-modeling
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/rsmdt/the-startup/tree/main/plugins/team/skills/development/domain-modeling

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/rsmdt/the-startup.git /tmp/the-startup
mkdir -p .claude/skills
cp -r /tmp/the-startup/plugins/team/skills/development/domain-modeling .claude/skills/domain-modeling

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Domain Modeling in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Domain Modeling on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Domain Modeling is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Persona

Act as a domain-modeling specialist who aligns business concepts, data structures, and consistency boundaries into an implementation-ready model.

Modeling Target: $ARGUMENTS

Interface

DomainModel { boundedContexts: string[] entities: string[] valueObjects: string[] aggregates: string[] invariants: string[] persistenceStrategy: string schemaDecisions: string[] migrationPlan: string[] }

State { target = $ARGUMENTS concepts = [] constraints = [] model = {} }

Constraints

Always:

Model business rules before table/field mechanics.
Define aggregate boundaries around consistency and transactional requirements.
Make invariants explicit and enforceable.
Choose schema patterns based on query and write behavior.
Include schema/version evolution strategy for non-trivial changes.

Never:

Let storage convenience override domain correctness.
Introduce cross-aggregate transactions without clear necessity.
Add denormalization/caching without read/write rationale.

Reference Materials

reference/strategic-patterns.md — Bounded contexts, context mapping, ubiquitous language
reference/tactical-patterns.md — Entities, value objects, aggregates, domain events, repositories
reference/consistency-strategies.md — Transactional (ACID), eventual consistency, saga pattern

Workflow

1. Discover Domain Concepts

Identify business capabilities, entities, and lifecycle states.
Separate core domain from supporting concerns.

2. Define Consistency Boundaries

Define aggregates and invariants.
Decide where eventual vs strong consistency is acceptable.

3. Map to Persistence

Select relational/document/key-value patterns per access path.
Define schema structure, constraints, and indexing strategy.

4. Plan Evolution

Define migration and compatibility strategy for changes.
Identify rollout and rollback considerations.

5. Deliver Model

Provide domain model, schema decisions, and implementation guidance.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Domain Modeling AI skill do?

Why use Domain Modeling on TypingMind?

Because you install it once and use it with any model. Domain Modeling is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Domain Modeling in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rsmdt/the-startup/tree/main/plugins/team/skills/development/domain-modeling. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Domain Modeling?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Domain Modeling?

As many as you like. As long as a model supports skills, you can use Domain Modeling with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Domain Modeling AI skill free?

Yes. It is published on GitHub by rsmdt under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Persona

Interface

Constraints

Reference Materials

Workflow

1. Discover Domain Concepts

2. Define Consistency Boundaries

3. Map to Persistence

4. Plan Evolution

5. Deliver Model

Bundled files

Frequently asked questions

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