Create and manage Mocktail mocks for Dart and Flutter unit tests.
npx skills add https://github.com/reloveution/dart-flutter-rules --skill dart-mocktail
Please help me install this Agent Skill. Skill: dart-mocktail Source: https://github.com/reloveution/dart-flutter-rules/tree/main/skills/dart-mocktail Command: npx skills add https://github.com/reloveution/dart-flutter-rules --skill dart-mocktail
This Skill streamlines the process of creating and managing mock objects in Dart and Flutter projects, reducing boilerplate code and preventing common testing errors like MissingStubError.
Use the dart-mocktail skill to set up fallback values for MyDomainType and stub the fetchData method on MockIRepository to return a predefined list.
High-intent search queries and answers about installing and using this skill.
To fix MissingStubError during Dart unit testing, you must explicitly stub mock methods or register fallback values for custom types before executing test assertions. This ensures all mocked dependencies return predictable data instead of throwing unhandled exceptions.
Creating mocks for Dart and Flutter repository classes involves generating mock instances from abstract interfaces and stubbing their methods. You define expected return values for asynchronous data fetching methods to isolate service logic during unit tests.
The best way to verify method calls with parameter matchers in Flutter tests is using verification methods after execution. You assert that specific mocked repository methods were called with expected arguments, ensuring your service interacts correctly with dependencies.
You need to register fallback values for custom types in Flutter mocking because parameter matchers require valid default instances. Without registering these defaults, matchers fail to evaluate wildcard arguments during verification, causing runtime errors in your unit tests.
Yes, Mocktail works for stubbing asynchronous methods in Dart unit tests. It allows you to define expected Future or Stream return values for mocked repository methods, ensuring predictable asynchronous data flows during service verification.
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