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Hexagonal Architecture

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lexler
hexagonal-architecture

Applies hexagonal (ports & adapters) architecture. Use when designing application structure, separating domain from infrastructure, creating testable boundaries, or when user mentions ports, adapters, hexagonal, or clean architecture.

Overview

Publisherlexler
Repositoryskill-factory
Skill namehexagonal-architecture
Stars
239
Forks
63
Bundled files
1
LicenseApache-2.0
Links
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by lexler on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/lexler/skill-factory/tree/main/output_skills/design/hexagonal-architecture
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/lexler/skill-factory.git /tmp/skill-factory
mkdir -p .claude/skills
cp -r /tmp/skill-factory/output_skills/design/hexagonal-architecture .claude/skills/hexagonal-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hexagonal Architecture 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 Hexagonal Architecture 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 Hexagonal Architecture 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.

Hexagonal Architecture

The Core Decision Rule

To decide if something belongs inside or outside the hexagon, ask:

"Does it do I/O or run out-of-process?"

  • No → Inside the hexagon (domain or application layer)
  • Yes → Outside (adapter)

Critical: Consider ALL dependencies. A component's dependencies disqualify it even if the component itself doesn't do I/O. If it depends on Spring, a database driver, or any framework—it's outside.

Layer Responsibilities

Common misconception: The hexagon is NOT just the domain. The hexagon contains both domain AND application layers. Adapters sit outside.

┌─────────────────────────────────────────┐
│           ADAPTERS (outside)            │
│  Web, CLI, Database, External APIs      │
│  ┌───────────────────────────────────┐  │
│  │     APPLICATION SERVICES          │  │
│  │  ┌─────────────────────────────┐  │  │
│  │  │         DOMAIN              │  │  │
│  │  └─────────────────────────────┘  │  │
│  └───────────────────────────────────┘  │
└─────────────────────────────────────────┘
        Dependencies flow INWARD only

Domain — Business constraints (what CAN happen). Contains Entities, Value Objects, Domain Services.

Application — Orchestration (HOW things happen). Contains Use Cases, Application Services.

Adapters — Translation to/from external world. Contains Controllers, Repositories, API clients.

Domain defines ports (interfaces). Adapters implement them.

Naming Conventions

  • Display/response: *View or *Response → MemberView, OrderResponse
  • Incoming request: *Request → CreateMemberRequest
  • Database entity: *Dbo → MemberDbo
  • Domain → DTO: static from(domain) → MemberView.from(member)
  • DTO → Domain: as*() method → request.asMember()

Anti-Patterns

Brittle Interfaces

register(username, password)  // Breaks when email required

Use wrapper objects that can evolve without breaking signatures.

Domain Scope Pollution

Third-party types (GoogleUser, StripePayment) leaking into domain. Keep external types in adapters; map to domain types at the boundary.

Use-Case Interdependencies

Use cases calling other use cases creates coupling. Each use case should be self-contained, orchestrating domain objects directly.

Anemic Domain

Entities as data bags with logic scattered in services. Business rules belong IN entities and value objects.

Premature Database Design

Designing schema before domain model. Domain model comes first; database adapter maps to it.

Over-Complicated Adapters

Adapters adding logic beyond translation. Adapters should be thin—just implement the port interface.

Testing Strategy

  • Domain: Unit tests, no doubles needed (pure logic)
  • Application: Unit tests with port doubles (fake repositories, stub notifiers)
  • Adapters: Integration tests against real infrastructure (real database, real HTTP)

Ports give clean seams for test doubles. Test the domain exhaustively with fast unit tests; test adapters against real infrastructure sparingly.

When NOT to Use

  • Small/simple projects, especially CRUD-based apps (overhead not worth it)

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 Hexagonal Architecture AI skill do?

Applies hexagonal (ports & adapters) architecture. Use when designing application structure, separating domain from infrastructure, creating testable boundaries, or when user mentions ports, adapters, hexagonal, or clean architecture.

Why use Hexagonal Architecture on TypingMind?

Because you install it once and use it with any model. Hexagonal Architecture 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 Hexagonal Architecture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lexler/skill-factory/tree/main/output_skills/design/hexagonal-architecture. 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 Hexagonal Architecture?

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 Hexagonal Architecture?

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

Is the Hexagonal Architecture AI skill free?

Yes. It is published on GitHub by lexler under the Apache-2.0 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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