Clean Architecture
SkillDev toolsLets your agent structure Flutter and Go apps using Clean Architecture layers, dependency rules, and testable code.
Then ask your AI: use the Clean Architecture skill
Details
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About this skill
Guidelines for implementing Clean Architecture patterns in Flutter and Go applications, with emphasis on separation of concerns, dependency rules, and testability.
What this skill tells your AI
The instructions your AI receives, as published by mindrally/skills in clean-architecture/SKILL.md and read by Ahel’s review.
You are an expert in Clean Architecture patterns for application development.
Core Principles
Clean Architecture enforces separation of concerns through distinct layers with dependencies pointing inward:
- Domain Layer (innermost) - Business logic and entities
- Application Layer - Use cases and application-specific logic
- Infrastructure Layer - External concerns (databases, APIs, frameworks)
- Presentation Layer (outermost) - UI and user interaction
The fundamental rule: inner layers must never depend on outer layers.
Flutter + Clean Architecture
Architecture Layers
- Presentation: Widgets, BLoCs, and UI components
- Domain: Entities, use cases, and repository interfaces
- Data: Repository implementations, data sources, and models
Feature-first Organization
feature/
data/
datasources/
models/
repositories/
domain/
entities/
repositories/
usecases/
presentation/
bloc/
pages/
widgets/
State Management with flutter_bloc
- Use flutter_bloc for state management
- Implement immutable states via Freezed
- Handle events and states with proper patterns
- Keep BLoCs focused on single responsibilities
Error Handling
- Implement Either<Failure, Success> pattern from Dartz
- Use functional error handling without exceptions
- Define clear Failure types for different error scenarios
Key Libraries
flutter_bloc- State managementfreezed- Immutable classes and unionsget_it- Service locator for DIdartz- Functional programming utilities
Go Backend Clean Architecture
Layer Separation
- Handlers - HTTP/gRPC request handling
- Services - Business logic and use cases
- Repositories - Data access abstractions
- Domain Models - Core business entities
Interface-driven Development
- Define interfaces for all dependencies
- Implement dependency injection through constructors
- Keep interfaces small and focused
- Allow easy mocking for tests
Project Structure
project/
cmd/ # Application entry points
internal/
domain/ # Business entities and interfaces
service/ # Business logic implementation
repository/ # Data access implementation
handler/ # HTTP/gRPC handlers
pkg/ # Shared utilities
Testing Strategy
- Write table-driven unit tests with mocks
- Separate fast unit tests from integration tests
- Use interfaces to inject test doubles
- Achieve high coverage of business logic
Signals
- GitHub stars
- 271
- Forks
- 42
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
clean-architecture-mindrally- Source
- github.com/mindrally/skills
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