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Flutter development with Riverpod state management, Freezed, go_router, and mocktail testing

Overview

Publisheralinaqi
Repositorymaggy
Skill nameflutter
Stars
707
Forks
57
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 alinaqi on GitHub. Read the source before you install it.

Installation

Install the Flutter 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/alinaqi/maggy/tree/main/skills/flutter
  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/alinaqi/maggy.git /tmp/maggy
mkdir -p .claude/skills
cp -r /tmp/maggy/skills/flutter .claude/skills/flutter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flutter 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 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 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 Skill


Project Structure

project/
├── lib/
│   ├── core/                           # Core utilities
│   │   ├── constants/                  # App constants
│   │   ├── extensions/                 # Dart extensions
│   │   ├── router/                     # go_router configuration
│   │   │   └── app_router.dart
│   │   └── theme/                      # App theme
│   │       └── app_theme.dart
│   ├── data/                           # Data layer
│   │   ├── models/                     # Freezed data models
│   │   ├── repositories/               # Repository implementations
│   │   └── services/                   # API services
│   ├── domain/                         # Domain layer
│   │   ├── entities/                   # Business entities
│   │   └── repositories/               # Repository interfaces
│   ├── presentation/                   # UI layer
│   │   ├── common/                     # Shared widgets
│   │   ├── features/                   # Feature modules
│   │   │   └── feature_name/
│   │   │       ├── providers/          # Riverpod providers
│   │   │       ├── widgets/            # Feature-specific widgets
│   │   │       └── feature_screen.dart
│   │   └── providers/                  # Global providers
│   ├── main.dart
│   └── app.dart
├── test/
│   ├── unit/                           # Unit tests
│   ├── widget/                         # Widget tests
│   └── integration/                    # Integration tests
├── pubspec.yaml
├── analysis_options.yaml
└── CLAUDE.md

Riverpod State Management

Provider Types

dart
// Simple value provider
final appNameProvider = Provider<String>((ref) => 'My App');

// StateProvider for simple mutable state
final counterProvider = StateProvider<int>((ref) => 0);

// NotifierProvider for complex state logic
final userProvider = NotifierProvider<UserNotifier, User?>(() => UserNotifier());

// AsyncNotifierProvider for async operations
final usersProvider = AsyncNotifierProvider<UsersNotifier, List<User>>(
  () => UsersNotifier(),
);

// FutureProvider for simple async data
final configProvider = FutureProvider<Config>((ref) async {
  return await ref.watch(configServiceProvider).loadConfig();
});

// StreamProvider for real-time data
final messagesProvider = StreamProvider<List<Message>>((ref) {
  return ref.watch(messageServiceProvider).watchMessages();
});

// Family providers for parameterized data
final userByIdProvider = FutureProvider.family<User, String>((ref, userId) async {
  return await ref.watch(userRepositoryProvider).getUser(userId);
});

Notifier Pattern

dart
@riverpod
class Users extends _$Users {
  @override
  Future<List<User>> build() async {
    return await _fetchUsers();
  }

  Future<List<User>> _fetchUsers() async {
    final repository = ref.read(userRepositoryProvider);
    return await repository.getUsers();
  }

  Future<void> refresh() async {
    state = const AsyncLoading();
    state = await AsyncValue.guard(() => _fetchUsers());
  }

  Future<void> addUser(User user) async {
    final repository = ref.read(userRepositoryProvider);
    await repository.addUser(user);
    ref.invalidateSelf();
  }
}

AsyncValue Handling

dart
class UsersScreen extends ConsumerWidget {
  const UsersScreen({super.key});

  @override
  Widget build(BuildContext context, WidgetRef ref) {
    final usersAsync = ref.watch(usersProvider);

    return usersAsync.when(
      data: (users) => UsersList(users: users),
      loading: () => const Center(child: CircularProgressIndicator()),
      error: (error, stack) => ErrorDisplay(
        error: error,
        onRetry: () => ref.invalidate(usersProvider),
      ),
    );
  }
}

// Pattern matching alternative
Widget build(BuildContext context, WidgetRef ref) {
  final usersAsync = ref.watch(usersProvider);

  return switch (usersAsync) {
    AsyncData(:final value) => UsersList(users: value),
    AsyncLoading() => const LoadingIndicator(),
    AsyncError(:final error) => ErrorDisplay(error: error),
  };
}

ref Methods

dart
// watch - rebuilds when provider changes
final users = ref.watch(usersProvider);

// read - one-time read, no rebuild
void onButtonPressed() {
  ref.read(counterProvider.notifier).state++;
}

// listen - react to changes without rebuild
ref.listen(authProvider, (previous, next) {
  if (next == null) {
    context.go('/login');
  }
});

// invalidate - force refresh
ref.invalidate(usersProvider);

// keepAlive - prevent auto-dispose
final link = ref.keepAlive();
// Later: link.close() to allow disposal

Freezed Data Models

Model Definition

dart
import 'package:freezed_annotation/freezed_annotation.dart';

part 'user.freezed.dart';
part 'user.g.dart';

@freezed
class User with _$User {
  const factory User({
    required String id,
    required String name,
    required String email,
    @Default(false) bool isActive,
    DateTime? createdAt,
  }) = _User;

  factory User.fromJson(Map<String, dynamic> json) => _$UserFromJson(json);
}

// Union types for states
@freezed
sealed class AuthState with _$AuthState {
  const factory AuthState.initial() = _Initial;
  const factory AuthState.loading() = _Loading;
  const factory AuthState.authenticated(User user) = _Authenticated;
  const factory AuthState.unauthenticated() = _Unauthenticated;
  const factory AuthState.error(String message) = _Error;
}

Using Freezed Unions

dart
Widget build(BuildContext context, WidgetRef ref) {
  final authState = ref.watch(authProvider);

  return authState.when(
    initial: () => const SplashScreen(),
    loading: () => const LoadingScreen(),
    authenticated: (user) => HomeScreen(user: user),
    unauthenticated: () => const LoginScreen(),
    error: (message) => ErrorScreen(message: message),
  );
}

go_router Navigation

Router Configuration

dart
final routerProvider = Provider<GoRouter>((ref) {
  final authState = ref.watch(authProvider);

  return GoRouter(
    initialLocation: '/',
    refreshListenable: authState,
    redirect: (context, state) {
      final isLoggedIn = authState.valueOrNull != null;
      final isLoggingIn = state.matchedLocation == '/login';

      if (!isLoggedIn && !isLoggingIn) return '/login';
      if (isLoggedIn && isLoggingIn) return '/';
      return null;
    },
    routes: [
      GoRoute(
        path: '/',
        builder: (context, state) => const HomeScreen(),
        routes: [
          GoRoute(
            path: 'user/:id',
            builder: (context, state) => UserScreen(
              userId: state.pathParameters['id']!,
            ),
          ),
        ],
      ),
      GoRoute(
        path: '/login',
        builder: (context, state) => const LoginScreen(),
      ),
    ],
    errorBuilder: (context, state) => ErrorScreen(error: state.error),
  );
});

Navigation

dart
// Navigate to route
context.go('/user/123');

// Push onto stack
context.push('/user/123');

// Pop current route
context.pop();

// Replace current route
context.pushReplacement('/home');

// Named routes
context.goNamed('user', pathParameters: {'id': '123'});

Widget Patterns

ConsumerWidget vs ConsumerStatefulWidget

dart
// Stateless with Riverpod
class UserCard extends ConsumerWidget {
  const UserCard({super.key, required this.userId});

  final String userId;

  @override
  Widget build(BuildContext context, WidgetRef ref) {
    final user = ref.watch(userByIdProvider(userId));
    return user.when(
      data: (user) => Card(child: Text(user.name)),
      loading: () => const CardSkeleton(),
      error: (e, _) => ErrorCard(error: e),
    );
  }
}

// Stateful with Riverpod
class SearchScreen extends ConsumerStatefulWidget {
  const SearchScreen({super.key});

  @override
  ConsumerState<SearchScreen> createState() => _SearchScreenState();
}

class _SearchScreenState extends ConsumerState<SearchScreen> {
  final _controller = TextEditingController();

  @override
  void dispose() {
    _controller.dispose();
    super.dispose();
  }

  @override
  Widget build(BuildContext context) {
    final results = ref.watch(searchProvider(_controller.text));
    return Column(
      children: [
        TextField(
          controller: _controller,
          onChanged: (_) => setState(() {}),
        ),
        Expanded(child: SearchResults(results: results)),
      ],
    );
  }
}

HookConsumerWidget (with flutter_hooks)

dart
class AnimatedCounter extends HookConsumerWidget {
  const AnimatedCounter({super.key});

  @override
  Widget build(BuildContext context, WidgetRef ref) {
    final controller = useAnimationController(duration: const Duration(milliseconds: 300));
    final count = ref.watch(counterProvider);

    useEffect(() {
      controller.forward(from: 0);
      return null;
    }, [count]);

    return ScaleTransition(
      scale: controller,
      child: Text('$count'),
    );
  }
}

Testing with Mocktail

Unit Tests

dart
import 'package:flutter_test/flutter_test.dart';
import 'package:mocktail/mocktail.dart';
import 'package:riverpod/riverpod.dart';

class MockUserRepository extends Mock implements UserRepository {}

void main() {
  late MockUserRepository mockRepository;
  late ProviderContainer container;

  setUp(() {
    mockRepository = MockUserRepository();
    container = ProviderContainer(
      overrides: [
        userRepositoryProvider.overrideWithValue(mockRepository),
      ],
    );
  });

  tearDown(() {
    container.dispose();
  });

  test('usersProvider returns list of users', () async {
    final users = [User(id: '1', name: 'John', email: 'john@example.com')];
    when(() => mockRepository.getUsers()).thenAnswer((_) async => users);

    final result = await container.read(usersProvider.future);

    expect(result, equals(users));
    verify(() => mockRepository.getUsers()).called(1);
  });
}

Widget Tests

dart
void main() {
  testWidgets('UserCard displays user name', (tester) async {
    final user = User(id: '1', name: 'John', email: 'john@example.com');

    await tester.pumpWidget(
      ProviderScope(
        overrides: [
          userByIdProvider('1').overrideWith((_) => AsyncData(user)),
        ],
        child: const MaterialApp(home: UserCard(userId: '1')),
      ),
    );

    expect(find.text('John'), findsOneWidget);
  });

  testWidgets('UserCard shows loading indicator', (tester) async {
    await tester.pumpWidget(
      ProviderScope(
        overrides: [
          userByIdProvider('1').overrideWith((_) => const AsyncLoading()),
        ],
        child: const MaterialApp(home: UserCard(userId: '1')),
      ),
    );

    expect(find.byType(CircularProgressIndicator), findsOneWidget);
  });
}

pubspec.yaml

yaml
name: my_app
description: A Flutter application
publish_to: 'none'
version: 1.0.0+1

environment:
  sdk: '>=3.2.0 <4.0.0'

dependencies:
  flutter:
    sdk: flutter

  # State management
  flutter_riverpod: ^2.4.9
  riverpod_annotation: ^2.3.3

  # Data models
  freezed_annotation: ^2.4.1
  json_annotation: ^4.8.1

  # Navigation
  go_router: ^13.0.0

  # Networking
  dio: ^5.4.0

  # Storage
  shared_preferences: ^2.2.2

  # Utils
  intl: ^0.19.0

dev_dependencies:
  flutter_test:
    sdk: flutter

  # Code generation
  build_runner: ^2.4.8
  freezed: ^2.4.6
  json_serializable: ^6.7.1
  riverpod_generator: ^2.3.9

  # Testing
  mocktail: ^1.0.2

  # Linting
  flutter_lints: ^3.0.1

GitHub Actions

yaml
name: Flutter CI

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

jobs:
  build:
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v4

      - uses: subosito/flutter-action@v2
        with:
          flutter-version: '3.16.0'
          channel: 'stable'
          cache: true

      - name: Install dependencies
        run: flutter pub get

      - name: Generate code
        run: dart run build_runner build --delete-conflicting-outputs

      - name: Analyze
        run: flutter analyze --fatal-infos

      - name: Run tests
        run: flutter test --coverage

      - name: Build APK
        run: flutter build apk --release

analysis_options.yaml

yaml
include: package:flutter_lints/flutter.yaml

analyzer:
  exclude:
    - "**/*.g.dart"
    - "**/*.freezed.dart"
  errors:
    invalid_annotation_target: ignore
  language:
    strict-casts: true
    strict-inference: true
    strict-raw-types: true

linter:
  rules:
    - always_declare_return_types
    - avoid_dynamic_calls
    - avoid_print
    - avoid_type_to_string
    - cancel_subscriptions
    - close_sinks
    - prefer_const_constructors
    - prefer_const_declarations
    - prefer_final_locals
    - require_trailing_commas
    - unawaited_futures
    - use_super_parameters

Flutter Anti-Patterns

  • ❌ Provider without autoDispose - Use .autoDispose to prevent memory leaks
  • ❌ watch in callbacks - Use ref.read() in onPressed/callbacks, not ref.watch()
  • ❌ Business logic in widgets - Move to Notifiers/providers
  • ❌ Mutable state in providers - Use Freezed for immutable models
  • ❌ Not using AsyncValue - Handle loading/error states with when()
  • ❌ setState with Riverpod - Use providers for shared state
  • ❌ Passing ref to functions - Keep ref usage within widgets/providers
  • ❌ Deeply nested Consumer - Use ConsumerWidget instead
  • ❌ Not using family for params - Use .family for parameterized providers
  • ❌ Global GoRouter instance - Use Provider for router with redirect logic
  • ❌ BuildContext across async - Store values before await, not context
  • ❌ Ignoring dispose - Clean up controllers in ConsumerStatefulWidget

Frequently asked questions

What does the Flutter AI skill do?

Flutter development with Riverpod state management, Freezed, go_router, and mocktail testing

Why use Flutter on TypingMind?

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

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

Which AI models can use Flutter?

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?

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

Is the Flutter AI skill free?

Yes. It is published on GitHub by alinaqi 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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