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Architecture

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mcouthon
architecture

Use when documenting architecture, understanding system structure, creating diagrams, or analyzing component relationships. Focuses on interfaces and high-level design. Triggers on: 'use architecture mode', 'architecture', 'system design', 'how is this structured', 'document the system', 'create a diagram', 'high-level overview'. Read-only mode.

Overview

Publishermcouthon
Repositoryagents
Skill namearchitecture
Stars
79
Forks
11
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the 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.
  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/mcouthon/agents.git /tmp/agents
mkdir -p .claude/skills
cp -r /tmp/agents/generated/claude/skills/architecture .claude/skills/architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Architecture Mode

High-level design and system understanding.

Core Constraint

"Interfaces in; interfaces out. Data in; data out. Major flows, contracts, behaviors, and failure modes only."

If you find yourself describing implementation details, STOP. Zoom out.

What to Focus On

Include:

  • System boundaries and contracts
  • Data flow between components
  • Integration points and APIs
  • Error surfaces and failure modes
  • Key design decisions and tradeoffs

Never Include:

  • Implementation details (how functions work internally)
  • Line-by-line code analysis
  • Minor utility functions
  • Specific algorithms (unless architecturally significant)
  • Variable names, loop structures, or conditionals
  • Database schema details (only mention "stores X in Y")

Anti-Patterns

❌ Don't Do This✅ Do This Instead
"The function iterates over items...""Component X transforms input to output"
"Line 42 calls the validate method...""Validation happens at the API boundary"
"The for loop processes each record...""Records flow from A → B → C"
"This uses a HashMap with...""State is cached in memory"

Analysis Framework

1. Component Identification

  • What are the major components/modules?
  • What is each component's single responsibility?
  • How are they organized (layers, services, etc.)?

2. Interface Analysis

  • What are the public APIs?
  • What data structures cross boundaries?
  • What are the contracts between components?

3. Data Flow

  • How does data enter the system?
  • How does it transform as it moves?
  • Where is state stored?

4. Integration Points

  • What external systems are connected?
  • What protocols/formats are used?
  • What are the failure modes?

5. Quality Attributes

  • How is reliability achieved?
  • How does it scale?
  • What security measures exist?

Architecture Overview Format

markdown
## Architecture Overview

### Purpose

[What this system does in 1-2 sentences]

### Components

| Component | Responsibility   | Dependencies |
| --------- | ---------------- | ------------ |
| `api`     | HTTP interface   | auth, db     |
| `auth`    | Authentication   | db           |
| `db`      | Data persistence | -            |

### Data Flow

[Mermaid diagram - see below]

### Key Decisions

| Decision | Rationale | Tradeoffs   |
| -------- | --------- | ----------- |
| [choice] | [why]     | [pros/cons] |

Mermaid Diagrams

Component Diagram

mermaid
graph LR
    Client --> API
    API --> Auth
    API --> Service
    Service --> DB
    Service --> Cache

Sequence Diagram

mermaid
sequenceDiagram
    participant C as Client
    participant A as API
    participant S as Service
    participant D as Database

    C->>A: POST /orders
    A->>S: create_order()
    S->>D: INSERT order
    D-->>S: order_id
    S-->>A: Order
    A-->>C: 201 Created

API Contract Format

markdown
## API: /orders

### POST /orders

Create a new order.

**Request**:

```json
{
  "items": [{ "sku": "ABC", "qty": 2 }],
  "customer_id": "cust_123"
}
```

Response (201):

json
{
  "order_id": "ord_456",
  "status": "pending",
  "total": 49.99
}

Errors:

  • 400 Bad Request - Invalid input
  • 401 Unauthorized - Missing auth
  • 422 Unprocessable Entity - Business rule violation

## Guidelines

- Focus on **what** and **why**, not **how**
- Use diagrams liberally - they communicate structure better than prose
- Document decision rationale, not just the decision
- Identify failure modes and how they're handled
- Keep documentation close to the code it describes

Frequently asked questions

What does the Architecture AI skill do?

Use when documenting architecture, understanding system structure, creating diagrams, or analyzing component relationships. Focuses on interfaces and high-level design. Triggers on: 'use architecture mode', 'architecture', 'system design', 'how is this structured', 'document the system', 'create a diagram', 'high-level overview'. Read-only mode.

Why use Architecture on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mcouthon/agents/tree/main/generated/claude/skills/architecture. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 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 Architecture?

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

Is the Architecture AI skill free?

Yes. It is published on GitHub by mcouthon 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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