.claude/skills/dotnet-core-expert/SKILL.md
Use when building .NET 8 applications with minimal APIs, clean architecture, or cloud-native microservices. Invoke for Entity Framework Core, CQRS with MediatR, JWT authentication, AOT compilation.
npx skillsauth add shalevamin/The-_Ultimate_agents dotnet-core-expertInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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dotnet build to verify compilation — if build fails, review errors, fix issues, and rebuild before proceedingdotnet test to confirm all tests pass — if tests fail, diagnose failures, fix the implementation, and re-run before continuing; verify endpoints with curl or a REST clientLoad detailed guidance based on context:
| Topic | Reference | Load When |
|-------|-----------|-----------|
| Minimal APIs | references/minimal-apis.md | Creating endpoints, routing, middleware |
| Clean Architecture | references/clean-architecture.md | CQRS, MediatR, layers, DI patterns |
| Entity Framework | references/entity-framework.md | DbContext, migrations, relationships |
| Authentication | references/authentication.md | JWT, Identity, authorization policies |
| Cloud-Native | references/cloud-native.md | Docker, health checks, configuration |
<Nullable>enable</Nullable> in the .csprojawait dbContext.Users.ToListAsync()public record UserDto(int Id, string Name);WebApplicationFactory<Program>// Program.cs
var builder = WebApplication.CreateBuilder(args);
builder.Services.AddEndpointsApiExplorer();
builder.Services.AddSwaggerGen();
builder.Services.AddMediatR(cfg => cfg.RegisterServicesFromAssembly(typeof(Program).Assembly));
var app = builder.Build();
app.UseSwagger();
app.UseSwaggerUI();
app.MapGet("/users/{id}", async (int id, ISender sender, CancellationToken ct) =>
{
var result = await sender.Send(new GetUserQuery(id), ct);
return result is null ? Results.NotFound() : Results.Ok(result);
})
.WithName("GetUser")
.Produces<UserDto>()
.ProducesProblem(404);
app.Run();
// Application/Users/GetUserQuery.cs
public record GetUserQuery(int Id) : IRequest<UserDto?>;
public sealed class GetUserQueryHandler : IRequestHandler<GetUserQuery, UserDto?>
{
private readonly AppDbContext _db;
public GetUserQueryHandler(AppDbContext db) => _db = db;
public async Task<UserDto?> Handle(GetUserQuery request, CancellationToken ct) =>
await _db.Users
.AsNoTracking()
.Where(u => u.Id == request.Id)
.Select(u => new UserDto(u.Id, u.Name))
.FirstOrDefaultAsync(ct);
}
// Infrastructure/AppDbContext.cs
public sealed class AppDbContext(DbContextOptions<AppDbContext> options) : DbContext(options)
{
public DbSet<User> Users => Set<User>();
protected override void OnModelCreating(ModelBuilder modelBuilder)
{
modelBuilder.ApplyConfigurationsFromAssembly(typeof(AppDbContext).Assembly);
}
}
// Usage in a service
public async Task<IReadOnlyList<UserDto>> GetAllAsync(CancellationToken ct) =>
await _db.Users
.AsNoTracking()
.Select(u => new UserDto(u.Id, u.Name))
.ToListAsync(ct);
public record UserDto(int Id, string Name);
public record CreateUserRequest(string Name, string Email);
When implementing .NET features, provide:
development
Use when building cross-platform applications with Flutter 3+ and Dart. Invoke for widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, performance optimization.
testing
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
tools
Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.
tools
Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection.