Elegant Architecture logo

Elegant Architecture

Community
majiayu000
elegant-architecture

Guides clean architecture design with strict 200-line file limits. Use when starting new features, refactoring large files, or planning module structure. Enforces modular design and real testing.

Overview

Publishermajiayu000
Repositoryspellbook
Skill nameelegant-architecture
Stars
280
Forks
26
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 majiayu000 on GitHub. Read the source before you install it.

Installation

Install the Elegant 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/majiayu000/spellbook.git /tmp/spellbook
mkdir -p .claude/skills
cp -r /tmp/spellbook/skills/elegant-architecture .claude/skills/elegant-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Elegant 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 Elegant 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 Elegant 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.

Elegant Architecture

Core Principles

  • 200-line limit — No file exceeds 200 lines of code
  • Split when exceeded — Convert to folder or multiple files
  • Plan first, code later — Design architecture before implementation
  • Single responsibility — Each module does one thing well
  • Real tests only — No mocks, test actual behavior

Execution Flow

1. Analyze Requirements

markdown
Before writing any code:
- List all features/functionalities needed
- Estimate code volume for each module
- Identify shared components
- Map dependencies between modules

2. Design File Structure

markdown
When estimated lines > 200:
- Convert file to folder with index
- Split by sub-functionality
- Extract shared utilities

Example transformation:
# Before (user.ts - 400+ lines)
user.ts

# After (user/ folder)
user/
├── index.ts        # Public exports
├── types.ts        # Interfaces, types
├── validation.ts   # Input validation
├── repository.ts   # Data access
└── service.ts      # Business logic

3. Define Interfaces First

typescript
// Define contracts before implementation
interface UserService {
  create(input: CreateUserInput): Promise<User>;
  findById(id: string): Promise<User | null>;
  update(id: string, input: UpdateUserInput): Promise<User>;
  delete(id: string): Promise<void>;
}

interface UserRepository {
  save(user: User): Promise<User>;
  findById(id: string): Promise<User | null>;
  findByEmail(email: string): Promise<User | null>;
  delete(id: string): Promise<void>;
}

4. Implement Incrementally

markdown
For each module:
1. Create type definitions
2. Implement core logic
3. Add error handling
4. Write tests
5. Verify line count < 200

5. Test Without Mocks

typescript
// ❌ Avoid: Mock everything
const mockRepo = jest.fn();
const service = new UserService(mockRepo);

// ✅ Prefer: Real implementations
const testDb = createTestDatabase();
const repo = new UserRepository(testDb);
const service = new UserService(repo);

// Test actual behavior
const user = await service.create({ email: 'test@example.com' });
const found = await service.findById(user.id);
expect(found).toEqual(user);

Design Patterns

Modular Design

src/
├── modules/
│   ├── auth/
│   │   ├── index.ts
│   │   ├── types.ts
│   │   ├── service.ts
│   │   └── middleware.ts
│   ├── user/
│   │   ├── index.ts
│   │   ├── types.ts
│   │   ├── service.ts
│   │   └── repository.ts
│   └── order/
│       ├── index.ts
│       ├── types.ts
│       ├── service.ts
│       └── repository.ts
├── shared/
│   ├── database/
│   ├── errors/
│   └── utils/
└── index.ts

Dependency Injection

typescript
// Decouple components via constructor injection
class OrderService {
  constructor(
    private readonly orderRepo: OrderRepository,
    private readonly userService: UserService,
    private readonly paymentGateway: PaymentGateway
  ) {}

  async createOrder(userId: string, items: OrderItem[]): Promise<Order> {
    const user = await this.userService.findById(userId);
    if (!user) throw new NotFoundError('User', userId);

    const order = Order.create(user, items);
    await this.paymentGateway.charge(user, order.total);
    return this.orderRepo.save(order);
  }
}

// Wire up in composition root
const orderService = new OrderService(
  new PostgresOrderRepository(db),
  new UserService(userRepo),
  new StripePaymentGateway(stripeClient)
);

Factory Pattern

typescript
// Complex object creation
class NotificationFactory {
  create(type: NotificationType, data: NotificationData): Notification {
    switch (type) {
      case 'email':
        return new EmailNotification(data, this.emailClient);
      case 'sms':
        return new SmsNotification(data, this.smsClient);
      case 'push':
        return new PushNotification(data, this.pushClient);
      default:
        throw new Error(`Unknown notification type: ${type}`);
    }
  }
}

Strategy Pattern

typescript
// Replaceable algorithms
interface PricingStrategy {
  calculate(order: Order): Money;
}

class StandardPricing implements PricingStrategy {
  calculate(order: Order): Money {
    return order.items.reduce((sum, item) => sum.add(item.price), Money.zero());
  }
}

class DiscountPricing implements PricingStrategy {
  constructor(private readonly discount: Percentage) {}

  calculate(order: Order): Money {
    const standard = new StandardPricing().calculate(order);
    return standard.subtract(standard.multiply(this.discount));
  }
}

class OrderProcessor {
  constructor(private pricing: PricingStrategy) {}

  setPricing(strategy: PricingStrategy) {
    this.pricing = strategy;
  }

  process(order: Order): ProcessedOrder {
    const total = this.pricing.calculate(order);
    return { ...order, total };
  }
}

File Splitting Guidelines

When to Split

IndicatorAction
File > 200 linesSplit immediately
File > 150 linesPlan split
3+ distinct responsibilitiesSplit by responsibility
Shared types growingExtract to types.ts
Utility functions accumulatingExtract to utils.ts

How to Split

markdown
1. Identify logical boundaries
2. Create folder with same name as file
3. Move related code to separate files
4. Create index.ts for public exports
5. Update imports in dependent files

Naming Conventions

module/
├── index.ts          # Public API exports
├── types.ts          # Interfaces, types, enums
├── constants.ts      # Configuration, magic values
├── utils.ts          # Helper functions
├── service.ts        # Business logic
├── repository.ts     # Data access
├── validation.ts     # Input validation
└── errors.ts         # Custom errors

Architecture Checklist

markdown
## Pre-Implementation
- [ ] Requirements analyzed
- [ ] Code volume estimated
- [ ] File structure designed
- [ ] Interfaces defined
- [ ] Dependencies mapped

## Implementation
- [ ] Each file < 200 lines
- [ ] Single responsibility per module
- [ ] Dependencies injected
- [ ] Error handling complete
- [ ] No hardcoded values

## Testing
- [ ] Real implementations used
- [ ] No mocks for core logic
- [ ] Edge cases covered
- [ ] Integration tests exist

## Review
- [ ] Architecture documented
- [ ] Public APIs clear
- [ ] No circular dependencies
- [ ] Easy to extend

Anti-Patterns to Avoid

markdown
❌ God files (500+ lines doing everything)
❌ Mocking everything in tests
❌ Coding before planning
❌ Tight coupling between modules
❌ Hardcoded configuration
❌ Circular dependencies
❌ Unclear module boundaries

Key Principles

  1. Measure twice, cut once — Plan architecture before coding
  2. Small is beautiful — 200 lines max, no exceptions
  3. Test reality — Real tests catch real bugs
  4. Inject dependencies — Loose coupling, easy testing
  5. Single purpose — One reason to change per module

Frequently asked questions

What does the Elegant Architecture AI skill do?

Guides clean architecture design with strict 200-line file limits. Use when starting new features, refactoring large files, or planning module structure. Enforces modular design and real testing.

Why use Elegant Architecture on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/majiayu000/spellbook/tree/main/skills/elegant-architecture. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Elegant 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 Elegant Architecture?

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

Is the Elegant Architecture AI skill free?

Yes. It is published on GitHub by majiayu000 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇