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Testing

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evanca
testing

Use when writing or reviewing Flutter/Dart tests (unit, widget, golden), fixing flaky tests, adding coverage, or choosing between unit and widget tests.

Overview

Publisherevanca
Repositoryflutter-ai-rules
Skill nametesting
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 Testing 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/testing
  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/testing .claude/skills/testing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Testing 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 Testing 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 Testing 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.

Testing Skill

Write effective, meaningful Flutter and Dart tests that catch real regressions.

When to Use

Use this skill when:

  • Writing unit tests for business logic, repositories, or utility classes.
  • Writing widget tests for UI components.
  • Reviewing existing tests for correctness and coverage.
  • Fixing flaky or false-positive tests.
  • Deciding between unit tests, widget tests, and integration tests.

1. Test Validity

Before writing or accepting a test, ask:

"Can this test actually fail if the real code is broken?"

  • Avoid tests that only confirm mocked/fake behavior without exercising real logic.
  • Avoid tests that confirm behavior guaranteed by the language or standard library.
  • Every test must be capable of catching a real regression.
dart
// BAD — tests the mock, not real logic
test('should return user', () {
  when(() => repo.getUser()).thenReturn(fakeUser);
  expect(repo.getUser(), fakeUser); // Only proves the mock works
});

// GOOD — tests the cubit's state transitions driven by the mock
blocTest<UserCubit, UserState>(
  'should emit loaded state when getUser succeeds',
  build: () {
    when(() => repo.getUser()).thenAnswer((_) async => fakeUser);
    return UserCubit(repo);
  },
  act: (cubit) => cubit.fetchUser(),
  expect: () => [
    const UserState(status: UserStatus.loading),
    UserState(status: UserStatus.loaded, user: fakeUser),
  ],
);

2. Structure

Always use group() in test files. Name the group after the class under test:

dart
group('Counter', () {
  late Counter counter;

  setUp(() {
    counter = Counter();
  });

  test('value should start at 0', () {
    expect(counter.value, 0);
  });

  test('should increment value by 1', () {
    counter.increment();
    expect(counter.value, 1);
  });
});

Rules:

  • Use setUp for shared object creation; use tearDown for cleanup (closing streams, controllers).
  • Keep each test focused on one behavior.
  • Nest group() blocks for sub-features when a class has many methods.

3. Naming

Name test cases using "should" to describe expected behavior:

dart
test('should emit updated list when item is added', () { ... });
test('should throw ArgumentError when input is negative', () { ... });

4. Unit Tests vs Widget Tests

TypeTargetTools
Unit testPure Dart logic, repositories, cubits/blocstest, bloc_test, mocktail
Widget testIndividual widgets, UI behavior, navigationflutter_test, WidgetTester

Default to unit tests for business logic. Use widget tests when verifying UI rendering, gesture handling, or widget interaction.


5. Widget Test Patterns

dart
testWidgets('should display error message on failure', (tester) async {
  await tester.pumpWidget(
    MaterialApp(
      home: BlocProvider<LoginCubit>.value(
        value: mockLoginCubit,
        child: const LoginView(),
      ),
    ),
  );

  // Simulate failure state
  whenListen(
    mockLoginCubit,
    Stream.fromIterable([const LoginState(status: LoginStatus.failure, errorMessage: 'Invalid')]),
    initialState: const LoginState(),
  );
  await tester.pump();

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

Rules:

  • Wrap widgets in MaterialApp (or the app's root widget) to provide MediaQuery, Directionality, etc.
  • Use pump() for a single frame or pumpAndSettle() when animations must complete.
  • Prefer find.byKey over find.text for widgets that may have localized or dynamic text.

6. Mocking Best Practices

  • Use mocktail for mocks (no code generation required).
  • Call registerFallbackValue() in setUpAll for custom types passed to any().
  • Mock at the repository boundary, not at the HTTP/database layer.
dart
class MockAuthRepository extends Mock implements AuthRepository {}

void main() {
  setUpAll(() {
    registerFallbackValue(FakeLoginRequest());
  });

  // ... tests
}

7. Test File Organization

test/
  feature_a/
    cubit/
      feature_a_cubit_test.dart
    view/
      feature_a_view_test.dart
    model/
      feature_a_model_test.dart
  • Mirror the lib/ folder structure under test/.
  • One test file per source file.
  • Name test files <source_file>_test.dart.

Frequently asked questions

What does the Testing AI skill do?

Use when writing or reviewing Flutter/Dart tests (unit, widget, golden), fixing flaky tests, adding coverage, or choosing between unit and widget tests.

Why use Testing on TypingMind?

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

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

Which AI models can use Testing?

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 Testing?

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

Is the Testing 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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