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Dart Add Unit Test

OrganizationPopular
flutter
dart-add-unit-test

Write and organize unit tests for functions, methods, and classes using `package:test`. Use when creating new logic or fixing bugs to ensure code remains correct and regression-free.

Overview

Publisherflutter
Repositoryagent-plugins
Skill namedart-add-unit-test
Stars
3K
Forks
182
Bundled files
Instructions only
LicenseBSD-3-Clause
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 flutter on GitHub. Read the source before you install it.

Installation

Install the Dart Add Unit Test 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/flutter/agent-plugins/tree/main/skills/dart-add-unit-test
  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/flutter/agent-plugins.git /tmp/agent-plugins
mkdir -p .claude/skills
cp -r /tmp/agent-plugins/skills/dart-add-unit-test .claude/skills/dart-add-unit-test
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dart Add Unit Test 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 Dart Add Unit Test 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 Dart Add Unit Test 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 Dart and Flutter Applications

Contents

Structuring Test Files

Organize test files to mirror the lib directory structure to maintain predictability.

  • Place all test code within the test directory at the root of the package.
  • Append _test.dart to the end of all test file names (e.g., lib/src/utils.dart should be tested in test/src/utils_test.dart).
  • If writing integration tests, place them in an integration_test directory at the root of the package.

Writing Tests

Utilize package:test as the standard testing library for Dart applications.

  • Import package:test/test.dart (or package:flutter_test/flutter_test.dart for Flutter).
  • Group related tests using the group() function to provide shared context.
  • Define individual test cases using the test() function.
  • Validate outcomes using the expect() function alongside matchers (e.g., equals(), isTrue, throwsA()).
  • Write asynchronous tests using standard async/await syntax. The test runner automatically waits for the Future to complete.
  • Manage test setup and teardown using setUp() and tearDown() callbacks.
  • If testing code that relies on dependency injection, use package:mockito alongside package:test to generate mock objects, configure fixed scenarios, and verify interactions.

Executing Tests

Select the appropriate test runner based on the project type and test location.

  • If working on a pure Dart project, execute tests using the dart test command.
  • If working on a Flutter project, execute tests using the flutter test command.
  • If running integration tests, explicitly specify the directory path, as the default runner ignores it: dart test integration_test or flutter test integration_test.

Test Implementation Workflow

Follow this sequential workflow when implementing new test suites. Copy the checklist to track your progress.

Task Progress

  • 1. Create the test file in the test/ directory, ensuring the _test.dart suffix.
  • 2. Import package:test/test.dart and the target library.
  • 3. Define a main() function.
  • 4. Initialize shared resources or mocks using setUp().
  • 5. Write test() cases grouped by functionality using group().
  • 6. Execute the test suite using the appropriate CLI command.
  • 7. Feedback Loop: Run test -> Review stack trace for failures -> Fix implementation or assertions -> Re-run until passing.

Examples

Standard Unit Test Suite

Demonstrates grouping, setup, synchronous, and asynchronous testing.

dart
import 'package:test/test.dart';
import 'package:my_package/calculator.dart';

void main() {
  group('Calculator', () {
    late Calculator calc;

    setUp(() {
      calc = Calculator();
    });

    test('adds two numbers correctly', () {
      expect(calc.add(2, 3), equals(5));
    });

    test('handles asynchronous operations', () async {
      final result = await calc.fetchRemoteValue();
      expect(result, isNotNull);
      expect(result, greaterThan(0));
    });
  });
}

Mocking with Mockito

Demonstrates configuring a mock object for dependency injection testing.

dart
import 'package:test/test.dart';
import 'package:mockito/mockito.dart';
import 'package:mockito/annotations.dart';
import 'package:my_package/api_client.dart';
import 'package:my_package/data_service.dart';

// Generate the mock using build_runner: dart run build_runner build
@GenerateNiceMocks([MockSpec<ApiClient>()])
import 'data_service_test.mocks.dart';

void main() {
  group('DataService', () {
    late MockApiClient mockApiClient;
    late DataService dataService;

    setUp(() {
      mockApiClient = MockApiClient();
      dataService = DataService(apiClient: mockApiClient);
    });

    test('returns parsed data on successful API call', () async {
      // Configure the mock
      when(mockApiClient.get('/data')).thenAnswer((_) async => '{"id": 1}');

      // Execute the system under test
      final result = await dataService.fetchData();

      // Verify outcomes and interactions
      expect(result.id, equals(1));
      verify(mockApiClient.get('/data')).called(1);
    });
  });
}

Frequently asked questions

What does the Dart Add Unit Test AI skill do?

Write and organize unit tests for functions, methods, and classes using `package:test`. Use when creating new logic or fixing bugs to ensure code remains correct and regression-free.

Why use Dart Add Unit Test on TypingMind?

Because you install it once and use it with any model. Dart Add Unit Test 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 Dart Add Unit Test in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/flutter/agent-plugins/tree/main/skills/dart-add-unit-test. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dart Add Unit Test?

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 Dart Add Unit Test?

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

Is the Dart Add Unit Test AI skill free?

Yes. It is published on GitHub by flutter under the BSD-3-Clause 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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