dotnet-core-expert
Supports .NET 8 application development with minimal APIs, clean architecture, and microservices. Covers Entity Framework Core, CQRS with MediatR, JWT authentication, and AOT compilation.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Supports .NET 8 application development with minimal APIs, clean architecture, and microservices. Covers Entity Framework Core, CQRS with MediatR, JWT authentication, and AOT compilation.
Examines how design patterns are implemented in C# and .NET code. Suggests improvements to those implementations.
Detects the project type and asks architecture questions to generate tailored CLAUDE.md instructions. Supports setup for fresh or existing .NET codebases without manual template copying.
Validates .NET SDKs, workloads, Java JDK, Android SDK, Xcode, and Windows SDK on macOS, Windows, and Linux. Discovers version requirements dynamically from NuGet WorkloadDependencies.json and troubleshoots setup and build errors.
Provides C# and .NET conventions and patterns for robust, maintainable applications. Covers dependency injection, async/await, and general development best practices.
Guides calls to C and C++ libraries from .NET, including signatures, string marshalling, memory lifetime, SafeHandle, and cross-platform patterns. Supports reviewing interop code and diagnosing crashes, leaks, and memory corruption.
Provides .NET timezone guidance using TimeZoneInfo, DateTimeOffset, and NodaTime. Covers UTC conversion, daylight saving time, scheduling, Windows/IANA IDs, and location-based timezone lookup with ready-to-use C# code.
Guides collection of performance data and explains diagnostic tool trade-offs. Accounts for Windows and Linux, .NET Framework and modern .NET, and containerized or non-containerized environments.
Supplies ready-to-use prompts for comprehensive .NET framework upgrade analysis and execution.
Guides controller and minimal API endpoint development. Covers OpenAPI and Swagger setup, .http test files, and global error-handling middleware.
Extracts verifiable claims from AI output and searches for supporting or contradicting sources. Reviews hallucination patterns and produces a structured verification report with source links for human review.
Cross-examines nontrivial decisions and tests plans for hidden failure modes before proceeding. Applies to unfamiliar code and high-stakes work such as security-sensitive logic, migrations, and irreversible operations.
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