Patterns and techniques for evaluating and improving AI agent outputs.
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Design patterns and architectural guidance for .NET applications. Navigation skill covering vertical slices, domain modeling, messaging patterns, resilience, caching, and system design. For building scalable, maintainable applications. Keywords: architecture, patterns, vertical slices, domain modeling, messaging, resilience, caching, design patterns
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Design patterns and architectural guidance for building scalable, maintainable .NET applications. This meta-skill provides navigation to ~15 architecture-focused skills covering vertical slices, domain modeling, messaging, resilience, and system design.
Load this skill when:
| Need | Load Skill | Level |
|---|---|---|
| Vertical slices, minimal APIs | dotnet-architecture-patterns | Intermediate |
| Domain modeling, DDD | dotnet-domain-modeling | Advanced |
| SOLID principles | dotnet-solid-principles | Intermediate |
| Need | Load Skill | Level |
|---|---|---|
| Pub/sub, competing consumers | dotnet-messaging-patterns | Advanced |
| Producer/consumer queues | dotnet-channels | Advanced |
| Real-time communication | dotnet-realtime-communication | Advanced |
| Need | Load Skill | Level |
|---|---|---|
| Retry, circuit breaker | dotnet-resilience | Intermediate |
| Background services | dotnet-background-services | Intermediate |
| Service communication choice | dotnet-service-communication | Intermediate |
| Need | Load Skill | Level |
|---|---|---|
| Caching strategies | dotnet-architecture-patterns | Intermediate |
| Observability | dotnet-observability | Intermediate |
| Structured logging | dotnet-structured-logging | Intermediate |
| Need | Load Skill | Level |
|---|---|---|
| API versioning | dotnet-api-versioning | Intermediate |
| Middleware patterns | dotnet-middleware-patterns | Intermediate |
| Minimal APIs | dotnet-minimal-apis | Intermediate |
| Need | Load Skill | Level |
|---|---|---|
| Aspire patterns | dotnet-aspire-patterns | Advanced |
| gRPC services | dotnet-grpc | Intermediate |
| Real-time features | dotnet-realtime-communication | Advanced |
Simple CRUD API → Minimal APIs (dotnet-minimal-apis)
↓
Complex Business Logic → Vertical Slices (dotnet-architecture-patterns)
↓
Distributed System → Aspire (dotnet-aspire-patterns)
↓
Event-Driven → Messaging Patterns (dotnet-messaging-patterns)
| Scenario | Pattern | Skill |
|---|---|---|
| Transient failures | Retry | dotnet-resilience |
| Cascading failures | Circuit Breaker | dotnet-resilience |
| Slow dependencies | Timeout | dotnet-resilience |
| Bulkhead isolation | Bulkhead | dotnet-resilience |
| Scenario | Pattern | Skill |
|---|---|---|
| Synchronous request/response | REST/gRPC | dotnet-service-communication |
| Asynchronous events | Pub/Sub | dotnet-messaging-patterns |
| Real-time updates | SignalR/SSE | dotnet-realtime-communication |
| Background jobs | Channels | dotnet-channels |
dotnet-architecture-patterns - Vertical slices, pipelines, cachingdotnet-domain-modeling - DDD, aggregates, value objectsdotnet-solid-principles - SOLID/DRY principlesdotnet-middleware-patterns - ASP.NET Core middlewaredotnet-minimal-apis - Minimal API patternsdotnet-messaging-patterns - Pub/sub, competing consumersdotnet-channels - Channel<T>, backpressuredotnet-realtime-communication - SignalR, SSE, gRPC streamingdotnet-service-communication - Protocol decisionsdotnet-resilience - Polly v8, patternsdotnet-background-services - IHostedServicedotnet-observability - OpenTelemetrydotnet-structured-logging - Log pipelinesdotnet-api-versioning - API versioningdotnet-aspire-patterns - Distributed appsdotnet-grpc - gRPC servicesdotnet-resilience - Fault tolerancedotnet-web meta-skilldotnet-data meta-skilldotnet-performance meta-skilldotnet-security meta-skilldotnet-fundamentals meta-skill还没有评价。欢迎分享你的使用感受。
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Patterns and techniques for evaluating and improving AI agent outputs.
中文简介正在准备中。当前显示原文说明。
Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations.
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Use when user requests research requiring multiple sources, comprehensive analysis, or synthesis across topics - technical research, domain knowledge gathering, market analysis, or learning about complex subjects
中文简介正在准备中。当前显示原文说明。
AI-powered wiki generation for code repositories with commands, agents, and skills
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Use when building .NET 10 or C# 14 applications; when using minimal APIs, modular monolith patterns, or feature folders; when implementing HTTP resilience, Options pattern, Channels, or validation; when seeing outdated patterns like old extension method syntax
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Implements accessible .NET UI. SemanticProperties, ARIA, AutomationPeer, testing per platform.
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