dotnet-artisan

Analyzes .NET project context, requirements, and constraints to recommend architecture approaches, framework choices, and design patterns. Triggers on: what framework to use, how to structure a project, recommend an approach, architecture review.

Analyzes ASP.NET Core middleware, request pipelines, minimal API design, DI lifetime selection, and diagnostic scenarios. Routes UI framework questions to [skill:dotnet-ui-specialist], security to [skill:dotnet-security-reviewer], performance to [skill:dotnet-performance-specialist].

Plans cloud deployment, .NET Aspire orchestration, AKS configuration, multi-stage CI/CD pipelines, distributed tracing, and infrastructure-as-code for .NET apps. Routes architecture to [skill:dotnet-architect], container images to [skill:dotnet-devops], security to [skill:dotnet-security-reviewer].

Manages .NET code health operations: resolves build errors (MSBuild, NuGet, SDK, analyzer warnings) and runs systematic quality cleanup (7-step pipeline: formatting, usings, analyzers, dead code, TODOs, sealed classes, CancellationToken). Triggers on: build failed, clean up, refactor, de-sloppify, dead code, fix warnings, tech debt.

Reviews .NET code for correctness, performance, security, and architecture concerns. Triages findings and routes to specialist agents for deep analysis. Triggers on: review this, code review, PR review, what's wrong with this code.

Central orchestrator for ALL .NET development requests. Owns the entire flow: detects .NET version, aligns requirements via structured questioning (USAGE.md framework), loads coding standards, applies .NET-first defaults, and routes to the correct domain skills and specialist agents. Invoked after [skill:using-dotnet] confirms .NET intent. The single entry point for every .NET task — no request should bypass this skill. Do not use for domain-specific implementation guidance.

AI/ML integration patterns for .NET. Covers MCP server/client creation and debugging, LLM integration (Semantic Kernel, OpenAI, Azure AI), RAG pipelines, ML.NET model training/inference, and AI technology selection. Load when building AI features in .NET, creating MCP servers, integrating LLMs, or evaluating AI frameworks. Synthesized from dotnet/skills dotnet-ai plugin + dotnet-artisan Semantic Kernel references.

Builds ASP.NET Core APIs, EF Core data access, gRPC, SignalR, and backend services with middleware, security (OAuth, JWT, OWASP), resilience, messaging, OpenAPI, .NET Aspire, Semantic Kernel, HybridCache, YARP reverse proxy, output caching, Office documents (Excel, Word, PowerPoint), PDF, and architecture patterns. Spans 33 topic areas. Do not use for UI rendering patterns or CI/CD pipeline authoring.

Baseline C# skill loaded for every .NET code path. Guides language patterns (records, pattern matching, primary constructors, C# 8-15), coding standards, async/await, DI, LINQ, serialization, domain modeling, concurrency, Roslyn analyzers, globalization, native interop (P/Invoke, LibraryImport, ComWrappers), WASM interop (JSImport/JSExport), and type design. Spans 27 topics. Do not use for ASP.NET endpoint architecture, UI framework patterns, or CI/CD guidance.

Debugs Windows and Linux/macOS applications (native, .NET/CLR, mixed-mode) with WinDbg MCP (crash dumps, !analyze, !syncblk, !dlk, !runaway, !dumpheap, !gcroot, BSOD), dotnet-dump, lldb with SOS, createdump, and container diagnostics (Docker, Kubernetes). Hang/deadlock diagnosis, high CPU triage, memory leak investigation, kernel debugging, and dotnet-monitor for production. Spans 17 topic areas. Do not use for routine .NET SDK profiling, benchmark design, or CI test debugging.

3 hooks across 3 events