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Riverpod

Community
evanca
riverpod

Use when setting up providers, combining requests, managing state disposal, passing arguments, performing side effects, or testing providers (Riverpod).

Overview

Publisherevanca
Repositoryflutter-ai-rules
Skill nameriverpod
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 Riverpod 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/riverpod
  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/riverpod .claude/skills/riverpod
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Riverpod 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 Riverpod 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 Riverpod 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.

Riverpod Skill

This skill defines how to correctly use Riverpod for state management in Flutter and Dart applications.


1. Setup

dart
void main() {
  runApp(const ProviderScope(child: MyApp()));
}
  • Wrap your app with ProviderScope directly in runApp — never inside MyApp.
  • Install and use riverpod_lint to enable IDE refactoring and enforce best practices.

2. Defining Providers

dart
// Functional provider (codegen)
@riverpod
int example(Ref ref) => 0;

// FutureProvider (codegen)
@riverpod
Future<List<Todo>> todos(Ref ref) async {
  return ref.watch(repositoryProvider).fetchTodos();
}

// Notifier (codegen)
@riverpod
class TodosNotifier extends _$TodosNotifier {
  @override
  Future<List<Todo>> build() async {
    return ref.watch(repositoryProvider).fetchTodos();
  }

  Future<void> addTodo(Todo todo) async { ... }
}
  • Define all providers as final top-level variables.
  • Use Provider, FutureProvider, or StreamProvider based on the return type.
  • Use ConsumerWidget or ConsumerStatefulWidget instead of StatelessWidget/StatefulWidget when accessing providers.

3. Using Ref

MethodUse for
ref.watchReactively listen — rebuilds when value changes. Use during build phase only.
ref.readOne-time access — use in callbacks/Notifier methods, not in build.
ref.listenImperative subscription — prefer ref.watch where possible.
ref.onDisposeCleanup when provider state is destroyed.
dart
// In a widget
class MyWidget extends ConsumerWidget {
  @override
  Widget build(BuildContext context, WidgetRef ref) {
    final value = ref.watch(myProvider);
    return Text('$value');
  }
}

// Cleanup in a provider
final provider = StreamProvider<int>((ref) {
  final controller = StreamController<int>();
  ref.onDispose(controller.close);
  return controller.stream;
});
  • Never call ref.watch inside callbacks, listeners, or Notifier methods.
  • Use ref.read(yourNotifierProvider.notifier).method() to call Notifier methods from the UI.
  • Check context.mounted before using ref after an await in async callbacks.

4. Combining Providers

dart
@riverpod
Future<String> userGreeting(Ref ref) async {
  final user = await ref.watch(userProvider.future);
  return 'Hello, ${user.name}!';
}
  • Use ref.watch(asyncProvider.future) to await an async provider's resolved value.
  • Providers only execute once and cache the result — multiple widgets listening to the same provider share one computation.

5. Passing Arguments (Families)

dart
@riverpod
Future<Todo> todo(Ref ref, String id) async {
  return ref.watch(repositoryProvider).fetchTodo(id);
}

// Usage
final todo = ref.watch(todoProvider('some-id'));
  • Always enable autoDispose for parameterized providers to prevent memory leaks.
  • Use Dart 3 records or code generation for multiple parameters — they naturally override ==.
  • Avoid passing plain List or Map as parameters (no == override); use const collections, records, or classes with proper equality.
  • Use the provider_parameters lint rule from riverpod_lint to catch equality mistakes.

6. Auto Dispose & State Lifecycle

  • With codegen: state is destroyed by default when no longer listened to. Opt out with keepAlive: true.
  • Without codegen: state is kept alive by default. Use .autoDispose to enable disposal.
  • State is always destroyed when a provider is recomputed.
dart
// keepAlive with timer
ref.onCancel(() {
  final link = ref.keepAlive();
  Timer(const Duration(minutes: 5), link.close);
});
  • Use ref.onDispose for cleanup; do not trigger side effects or modify providers inside it.
  • Use ref.invalidate(provider) to force destruction; use ref.invalidateSelf() from within the provider.
  • Use ref.refresh(provider) to invalidate and immediately read the new value — always use the return value.

7. Eager Initialization

Providers are lazy by default. To eagerly initialize:

dart
// In MyApp or a dedicated widget under ProviderScope:
Consumer(
  builder: (context, ref, _) {
    ref.watch(myEagerProvider); // forces initialization
    return const MyApp();
  },
)
  • Place eager initialization in a public widget (not main()) for consistent test behavior.
  • Use AsyncValue.requireValue to read data directly and throw clearly if not ready.

8. Performing Side Effects

dart
@riverpod
class TodosNotifier extends _$TodosNotifier {
  Future<void> addTodo(Todo todo) async {
    state = const AsyncLoading();
    state = await AsyncValue.guard(() async {
      await ref.read(repositoryProvider).addTodo(todo);
      return [...?state.value, todo];
    });
  }
}

// In UI:
ElevatedButton(
  onPressed: () => ref.read(todosNotifierProvider.notifier).addTodo(todo),
  child: const Text('Add'),
)
  • Use ref.read (not ref.watch) in event handlers.
  • After a side effect, update state by: setting it directly, calling ref.invalidateSelf(), or manually updating the cache.
  • Always handle loading and error states in the UI.
  • Do not perform side effects in provider constructors or build methods.

9. Provider Observers

dart
class MyObserver extends ProviderObserver {
  @override
  void didUpdateProvider(ProviderObserverContext context, Object? previousValue, Object? newValue) {
    print('[${context.provider}] updated: $previousValue → $newValue');
  }

  @override
  void providerDidFail(ProviderObserverContext context, Object error, StackTrace stackTrace) {
    // Report to error service
  }
}

runApp(ProviderScope(observers: [MyObserver()], child: MyApp()));

10. Testing

dart
// Unit test
final container = ProviderContainer(
  overrides: [repositoryProvider.overrideWith((_) => FakeRepository())],
);
addTearDown(container.dispose);

expect(await container.read(todosProvider.future), isNotEmpty);

// Widget test
await tester.pumpWidget(
  ProviderScope(
    overrides: [repositoryProvider.overrideWith((_) => FakeRepository())],
    child: const MyApp(),
  ),
);
  • Create a new ProviderContainer or ProviderScope for each test — never share state between tests.
  • Use container.listen over container.read for autoDispose providers to keep state alive during the test.
  • Use overrides to inject mocks or fakes.
  • Prefer mocking dependencies (repositories) rather than Notifiers directly.
  • If you must mock a Notifier, subclass the original — don't use implements or with Mock.
  • Place Notifier mocks in the same file as the Notifier if using code generation.
  • Obtain the container in widget tests with ProviderScope.containerOf(tester.element(...)).

References

Frequently asked questions

What does the Riverpod AI skill do?

Use when setting up providers, combining requests, managing state disposal, passing arguments, performing side effects, or testing providers (Riverpod).

Why use Riverpod on TypingMind?

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

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

Which AI models can use Riverpod?

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 Riverpod?

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

Is the Riverpod 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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