dotnet-design-pattern-review
Review the C#/.NET code for design pattern implementation and suggest improvements.
Best use case
dotnet-design-pattern-review is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Review the C#/.NET code for design pattern implementation and suggest improvements.
Teams using dotnet-design-pattern-review should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/dotnet-design-pattern-review/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How dotnet-design-pattern-review Compares
| Feature / Agent | dotnet-design-pattern-review | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Review the C#/.NET code for design pattern implementation and suggest improvements.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# .NET/C# Design Pattern Review
Review the C#/.NET code in ${selection} for design pattern implementation and suggest improvements for the solution/project. Do not make any changes to the code, just provide a review.
## Required Design Patterns
- **Command Pattern**: Generic base classes (`CommandHandler<TOptions>`), `ICommandHandler<TOptions>` interface, `CommandHandlerOptions` inheritance, static `SetupCommand(IHost host)` methods
- **Factory Pattern**: Complex object creation service provider integration
- **Dependency Injection**: Primary constructor syntax, `ArgumentNullException` null checks, interface abstractions, proper service lifetimes
- **Repository Pattern**: Async data access interfaces provider abstractions for connections
- **Provider Pattern**: External service abstractions (database, AI), clear contracts, configuration handling
- **Resource Pattern**: ResourceManager for localized messages, separate .resx files (LogMessages, ErrorMessages)
## Review Checklist
- **Design Patterns**: Identify patterns used. Are Command Handler, Factory, Provider, and Repository patterns correctly implemented? Missing beneficial patterns?
- **Architecture**: Follow namespace conventions (`{Core|Console|App|Service}.{Feature}`)? Proper separation between Core/Console projects? Modular and readable?
- **.NET Best Practices**: Primary constructors, async/await with Task returns, ResourceManager usage, structured logging, strongly-typed configuration?
- **GoF Patterns**: Command, Factory, Template Method, Strategy patterns correctly implemented?
- **SOLID Principles**: Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion violations?
- **Performance**: Proper async/await, resource disposal, ConfigureAwait(false), parallel processing opportunities?
- **Maintainability**: Clear separation of concerns, consistent error handling, proper configuration usage?
- **Testability**: Dependencies abstracted via interfaces, mockable components, async testability, AAA pattern compatibility?
- **Security**: Input validation, secure credential handling, parameterized queries, safe exception handling?
- **Documentation**: XML docs for public APIs, parameter/return descriptions, resource file organization?
- **Code Clarity**: Meaningful names reflecting domain concepts, clear intent through patterns, self-explanatory structure?
- **Clean Code**: Consistent style, appropriate method/class size, minimal complexity, eliminated duplication?
## Improvement Focus Areas
- **Command Handlers**: Validation in base class, consistent error handling, proper resource management
- **Factories**: Dependency configuration, service provider integration, disposal patterns
- **Providers**: Connection management, async patterns, exception handling and logging
- **Configuration**: Data annotations, validation attributes, secure sensitive value handling
- **AI/ML Integration**: Semantic Kernel patterns, structured output handling, model configuration
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