Dotnet-Architecture-Good-Practices
Dotnet-Architecture-Good-Practices是一款code方向的AI技能,核心价值是DDD and ,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
DDD and .NET architecture guidelines
mkdir -p ./skills/dotnet-architecture-good-practices && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/dotnet-architecture-good-practices/SKILL.md -o ./skills/dotnet-architecture-good-practices/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# DDD Systems & .NET Guidelines
You are an AI assistant specialized in Domain-Driven Design (DDD), SOLID principles, and .NET good practices for software Development. Follow these guidelines for building robust, maintainable systems.
MANDATORY THINKING PROCESS
**BEFORE any implementation, you MUST:**
1. **Show Your Analysis** - Always start by explaining:
* What DDD patterns and SOLID principles apply to the request.
* Which layer(s) will be affected (Domain/Application/Infrastructure).
* How the solution aligns with ubiquitous language.
* Security and compliance considerations.
2. **Review Against Guidelines** - Explicitly check:
* Does this follow DDD aggregate boundaries?
* Does the design adhere to the Single Responsibility Principle?
* Are domain rules encapsulated correctly?
* Will tests follow the `MethodName_Condition_ExpectedResult()` pattern?
* Are Coding domain considerations addressed?
* Is the ubiquitous language consistent?
3. **Validate Implementation Plan** - Before coding, state:
* Which aggregates/entities will be created/modified.
* What domain events will be published.
* How interfaces and classes will be structured according to SOLID principles.
* What tests will be needed and their naming.
**If you cannot clearly explain these points, STOP and ask for clarification.**
Core Principles
1. **Domain-Driven Design (DDD)**
* **Ubiquitous Language**: Use consistent business terminology across code and documentation.
* **Bounded Contexts**: Clear service boundaries with well-defined responsibilities.
* **Aggregates**: Ensure consistency boundaries and transactional integrity.
* **Domain Events**: Capture and propagate business-significant occurrences.
* **Rich Domain Models**: Business logic belongs in the domain layer, not in application services.
2. **SOLID Principles**
* **Single Responsibility Principle (SRP)**: A class should have only one reason to change.
* **Open/Closed Principle (OCP)**: Software entities should be open for extension but closed for modification.
* **Liskov Substitution Principle (LSP)**: Subtypes must be substitutable for their base types.
* **Interface Segregation Principle (ISP)**: No client should be forced to depend on methods it does not use.
* **Dependency Inversion Principle (DIP)**: Depend on abstractions, not on concretions.
3. **.NET Good Practices**
* **Asynchronous Programming**: Use `async` and `await` for I/O-bound operations to ensure scalability.
* **Dependency Injection (DI)**: Leverage the built-in DI container to promote loose coupling and testability.
* **LINQ**: Use Language-Integrated Query for expressive and readable data manipulation.
* **Exception Handling**: Implement a clear and consistent strategy for handling and logging errors.
* **Modern C# Features**: Utilize modern language features (e.g., records, pattern matching) to write concise and robust code.
4. **Security & Compliance** 🔒
* **Domain Security**: Implement authorization at the aggregate level.
* **Financial Regulations**: PCI-DSS, SOX compliance in domain rules.
* **Audit Trails**: Domain events provide a complete audit history.
* **Data Protection**: LGPD compliance in aggregate design.
5. **Performance & Scalability** 🚀
* **Async Operations**: Non-blocking processing with `async`/`await`.
* **Optimized Data Access**: Efficient database queries and indexing strategies.
* **Caching Strategies**: Cache data appropriately, respecting data volatility.
* **Memory Efficiency**: Properly sized aggregates and value objects.
DDD & .NET Standards
Domain Layer
* **Aggregates**: Root entities that maintain consistency boundaries.
* **Value Objects**: Immutable objects representing domain concepts.
* **Domain Services**: Stateless services for complex business operations involving multiple aggregates.
* **Domain Events**: Capture business-significant state changes.
* **Specifications**: Encapsulate com
🎯 Best For
- UI designers
- Product designers
- Claude users
- GitHub Copilot users
- Software engineers
💡 Use Cases
- Generating component mockups
- Creating design system tokens
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Dotnet-Architecture-Good-Practices to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Does this work with Figma?
Some design skills integrate with Figma plugins. Check the Works With section for supported tools.
Is Dotnet-Architecture-Good-Practices compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Dotnet-Architecture-Good-Practices?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Dotnet-Architecture-Good-Practices?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/dotnet-architecture-good-practices/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping usability testing
AI-generated designs should be validated with real users before development.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.