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Flutter App Architecture

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evanca
flutter-app-architecture

Use when scaffolding a project, refactoring into layers, creating view models/repositories, configuring dependency injection, or implementing unidirectional data flow (MVVM).

Overview

Publisherevanca
Repositoryflutter-ai-rules
Skill nameflutter-app-architecture
Stars
651
Forks
67
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 evanca on GitHub. Read the source before you install it.

Installation

Install the Flutter App 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/evanca/flutter-ai-rules/tree/main/skills/flutter-app-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/evanca/flutter-ai-rules.git /tmp/flutter-ai-rules
mkdir -p .claude/skills
cp -r /tmp/flutter-ai-rules/skills/flutter-app-architecture .claude/skills/flutter-app-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flutter App 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 Flutter App 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 Flutter App 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.

Flutter App Architecture Skill

This skill defines how to structure Flutter applications using layered architecture, proper data flow, and MVVM patterns for maintainability and testability.

When to Use

Use this skill when:

  • Scaffolding a new Flutter project with layered architecture.
  • Creating or refactoring View Models, Repositories, or Services.
  • Wiring dependency injection between architectural components.
  • Implementing unidirectional data flow across layers.
  • Adding a Domain (Logic) Layer for complex business logic or shared use cases.

1. Layer Structure

Separate every app into a UI Layer and a Data Layer. Add a Logic (Domain) Layer only for complex apps.

┌──────────────────────────────────────────────────────────────┐
│   UI Layer    │  Views + ViewModels                           │
├──────────────────────────────────────────────────────────────┤
│  Logic Layer  │  Use Cases / Interactors  (optional)         │
├──────────────────────────────────────────────────────────────┤
│   Data Layer  │  Repositories + Services                     │
└──────────────────────────────────────────────────────────────┘

Rules:

  • Only adjacent layers may communicate. The UI layer must never access a Service directly.
  • Data changes always happen in the Data layer (SSOT = Repository). No mutation in UI or Logic layers.
  • Follow unidirectional data flow: state flows down (Data → UI), events flow up (UI → Data).

2. Component Responsibilities

View

  • Describes how to present data; keep logic minimal and UI-related only.
  • Passes events to the ViewModel in response to user interactions.

ViewModel

  • Converts app data into UI state and maintains the current state needed by the View.
  • Exposes callbacks (commands) to the View and retrieves/transforms data from Repositories.
dart
class BookingViewModel extends ChangeNotifier {
  final BookingRepository _repo;

  BookingViewModel(this._repo);

  List<Booking> _bookings = [];
  List<Booking> get bookings => List.unmodifiable(_bookings);

  bool _isLoading = false;
  bool get isLoading => _isLoading;

  Future<void> loadBookings() async {
    _isLoading = true;
    notifyListeners();

    _bookings = await _repo.getBookings();
    _isLoading = false;
    notifyListeners();
  }

  Future<void> cancelBooking(String id) async {
    await _repo.cancelBooking(id);
    _bookings = await _repo.getBookings();
    notifyListeners();
  }
}

Repository (Single Source of Truth)

  • The only class that may mutate its data; all other classes read from it.
  • Handles caching, error handling, and data refresh logic.
  • Transforms raw data from Services into domain models.
dart
class BookingRepository {
  final BookingApiService _apiService;
  final BookingLocalService _localService;

  BookingRepository(this._apiService, this._localService);

  Future<List<Booking>> getBookings() async {
    try {
      final remote = await _apiService.fetchBookings();
      await _localService.cacheBookings(remote);
      return remote;
    } catch (_) {
      return _localService.getCachedBookings();
    }
  }

  Future<void> cancelBooking(String id) async {
    await _apiService.cancelBooking(id);
    await _localService.removeCachedBooking(id);
  }
}

Service

  • Wraps API endpoints and exposes asynchronous response objects.
  • Isolates data-loading and holds no state.
dart
class BookingApiService {
  final http.Client _client;
  BookingApiService(this._client);

  Future<List<Booking>> fetchBookings() async {
    final response = await _client.get(Uri.parse('/api/bookings'));
    if (response.statusCode != 200) {
      throw HttpException('Failed to load bookings');
    }
    final data = jsonDecode(response.body) as List;
    return data.map((json) => Booking.fromJson(json)).toList();
  }
}

3. Dependency Injection

Supply dependencies via constructors. Define abstract interfaces so implementations can be swapped for testing.

dart
// Abstract interface for the repository
abstract class BookingRepository {
  Future<List<Booking>> getBookings();
  Future<void> cancelBooking(String id);
}

// Concrete implementation
class BookingRepositoryImpl implements BookingRepository {
  final BookingApiService _api;
  BookingRepositoryImpl(this._api);

  @override
  Future<List<Booking>> getBookings() => _api.fetchBookings();

  @override
  Future<void> cancelBooking(String id) => _api.cancelBooking(id);
}

4. Use Cases (Domain Layer)

Introduce use cases only when:

  • Logic is complex or does not fit cleanly in the UI or Data layers.
  • Logic is reused across multiple ViewModels or merges data from multiple Repositories.
dart
class GetUpcomingBookingsUseCase {
  final BookingRepository _bookingRepo;
  final UserRepository _userRepo;

  GetUpcomingBookingsUseCase(this._bookingRepo, this._userRepo);

  Future<List<Booking>> call() async {
    final user = await _userRepo.getCurrentUser();
    final bookings = await _bookingRepo.getBookings();
    return bookings
        .where((b) => b.userId == user.id && b.date.isAfter(DateTime.now()))
        .toList();
  }
}

5. Workflow: Scaffold a New Feature

  1. Create the Service — implement the API wrapper with typed response parsing.
  2. Create the Repository — inject the Service, implement caching and error-handling logic.
  3. Create the ViewModel — inject the Repository, expose UI state and commands.
  4. Create the View — bind to the ViewModel, render state, dispatch events.
  5. Wire DI — register all components in the dependency injection container.
  6. Verify — confirm the View never accesses the Service directly and data flows unidirectionally.

6. Data Storage

  • Use key-value storage (e.g., shared_preferences) for configuration and preferences.
  • Use SQL storage (e.g., drift, sqflite) for complex relational data.
  • Implement optimistic updates to improve perceived responsiveness by updating UI before server confirms.
  • Support offline-first by combining local and remote data sources in Repositories.

7. Coding Conventions

  • Use StatelessWidget when possible; avoid unnecessary StatefulWidgets.
  • Keep build methods simple and focused on rendering.
  • Prefer final for fields and top-level variables. Prefer const constructors when the class supports it.
  • Prefer explicit typing on public APIs (e.g., Command0<void> over dynamic signatures).
  • Use descriptive constant names (e.g., _todoTableName over _kTableTodo).

References

Frequently asked questions

What does the Flutter App Architecture AI skill do?

Use when scaffolding a project, refactoring into layers, creating view models/repositories, configuring dependency injection, or implementing unidirectional data flow (MVVM).

Why use Flutter App Architecture on TypingMind?

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

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

Which AI models can use Flutter App 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 Flutter App Architecture?

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

Is the Flutter App Architecture AI skill free?

Yes. It is published on GitHub by evanca 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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