dotnet-backend-patterns
الگوهای C#/.NET برای API، سرور MCP و backend سازمانی
این اسکیل الگوهای C#/.NET مدرن را برای API تولیدی، سرور MCP و backend سازمانی ارائه میدهد.
چه چیزی میگیرید
- الگوهای API
- سرور MCP
- مرزهای قالب
برای چه کاری خوب است
- backend سازمانی
- ساخت MCP در .NET
برای چه کاری نیست
- پروژههای غیر .NET
دربارهٔ این اسکیل
.NET Backend Development Patterns
Master C#/.NET patterns for building production-grade APIs, MCP servers, and enterprise backends with modern best practices (2024/2025).
Use this skill when
- Developing new .NET Web APIs or MCP servers
- Reviewing C# code for quality and performance
- Designing service architectures with dependency injection
- Implementing caching strategies with Redis
- Writing unit and integration tests
- Optimizing database access with EF Core or Dapper
- Configuring applications with IOptions pattern
- Handling errors and implementing resilience patterns
Do not use this skill when
- The project is not using .NET or C#
- You only need frontend or client guidance
- The task is unrelated to backend architecture
Template boundaries
Examples target .NET 8-era APIs and SQL Server; package/provider versions must be
pinned and compiled in the destination application. Assets are partial sketches,
not a standalone project: supply interfaces, DTO namespaces, options and schema.
Use one shared domain Product type when combining them. Authorization/tenant
filters precede reads, writes and cache access; the single-tenant sample keys are
not suitable for multi-tenant data. No migration or production write is implied.
Instructions
- Define architecture boundaries, modules, and layering.
- Apply DI, async patterns, and resilience strategies.
- Validate data access performance and caching.
- Add tests and observability for critical flows.
- If detailed patterns are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed .NET patterns and examples.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.