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Csharp Wolverinefx

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wshaddix
csharp-wolverinefx

Build .NET applications with WolverineFX for messaging, HTTP services, and event sourcing. Use when implementing command handlers, message handlers, HTTP endpoints with WolverineFx.HTTP, transactional outbox patterns, event sourcing with Marten, CQRS architectures, cascading messages, batch message processing, or configuring transports like RabbitMQ, Azure Service Bus, or Amazon SQS.

Overview

Publisherwshaddix
Repositorydotnet-skills
Skill namecsharp-wolverinefx
Stars
79
Forks
13
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by wshaddix on GitHub. Read the source before you install it.

Installation

Install the Csharp Wolverinefx AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/wshaddix/dotnet-skills.git /tmp/dotnet-skills
mkdir -p .claude/skills
cp -r /tmp/dotnet-skills/skills/csharp-wolverinefx .claude/skills/csharp-wolverinefx
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Csharp Wolverinefx in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Csharp Wolverinefx on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Csharp Wolverinefx is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

WolverineFX for .NET

When to Use This Skill

Use this skill when:

  • Building message handlers or command handlers with Wolverine
  • Creating HTTP endpoints with WolverineFx.HTTP (alternative to Minimal API/MVC)
  • Implementing event sourcing with Marten and Wolverine
  • Setting up transactional outbox pattern for reliable messaging
  • Configuring message transports (RabbitMQ, Azure Service Bus, Amazon SQS, TCP)
  • Implementing CQRS with event sourcing
  • Processing messages in batches
  • Using cascading messages for testable, pure function handlers
  • Configuring error handling and retry policies
  • Pre-generating code for optimized cold starts

Related Skills

  • efcore-patterns - Entity Framework Core patterns for data access
  • csharp-coding-standards - Modern C# patterns (records, pattern matching)
  • http-client-resilience - Polly resilience patterns (complementary)
  • background-services - Hosted services and background job patterns
  • aspire-configuration - .NET Aspire orchestration

Core Principles

  1. Low Ceremony Code - Pure functions, method injection, minimal boilerplate
  2. Cascading Messages - Return messages from handlers instead of injecting IMessageBus
  3. Transactional Outbox - Guaranteed message delivery with database transactions
  4. Code Generation - Runtime or pre-generated code for optimal performance
  5. Vertical Slice Architecture - Organize code by feature, not technical layers
  6. Pure Functions for Business Logic - Isolate infrastructure from business logic

Required NuGet Packages

Core Messaging

xml
<PackageReference Include="Wolverine" />
<PackageReference Include="WolverineFx.Http" />

Persistence Integration

xml
<PackageReference Include="WolverineFx.Marten" />

Transports

xml
<PackageReference Include="WolverineFx.RabbitMQ" />
<PackageReference Include="WolverineFx.AzureServiceBus" />
<PackageReference Include="WolverineFx.Kafka" />
<PackageReference Include="WolverineFx.AmazonSQS" />

Basic Setup

Program.cs (ASP.NET Core)

csharp
using JasperFx;
using Wolverine;
using Wolverine.Http;

var builder = WebApplication.CreateBuilder(args);

builder.Host.UseWolverine(opts =>
{
    opts.Policies.AutoApplyTransactions();
    opts.Policies.UseDurableLocalQueues();
});

builder.Services.AddWolverineHttp();

var app = builder.Build();

app.MapWolverineEndpoints();

return await app.RunJasperFxCommands(args);

Message Handlers

Simple Message Handler

csharp
public record DebitAccount(long AccountId, decimal Amount);

public static class DebitAccountHandler
{
    public static void Handle(DebitAccount command, IAccountRepository repository)
    {
        repository.Debit(command.AccountId, command.Amount);
    }
}

Handler with Cascading Messages

csharp
public record CreateOrder(Guid OrderId, string[] Items);
public record OrderCreated(Guid OrderId);

public static class CreateOrderHandler
{
    public static (OrderCreated, ShipOrder) Handle(
        CreateOrder command,
        IDocumentSession session)
    {
        var order = new Order { Id = command.OrderId, Items = command.Items };
        session.Store(order);
        
        return (
            new OrderCreated(command.OrderId),
            new ShipOrder(command.OrderId)
        );
    }
}

Using OutgoingMessages for Multiple Messages

csharp
public static OutgoingMessages Handle(ProcessOrder command)
{
    var messages = new OutgoingMessages
    {
        new OrderProcessed(command.OrderId),
        new SendEmail(command.CustomerEmail, "Order processed"),
        new UpdateInventory(command.Items)
    };
    
    messages.Delay(new CleanupOrder(command.OrderId), 5.Minutes());
    
    return messages;
}

HTTP Endpoints (WolverineFx.HTTP)

Basic GET Endpoint

csharp
[WolverineGet("/users/{id}")]
public static Task<User?> GetUser(int id, IQuerySession session)
    => session.LoadAsync<User>(id);

POST with Message Publishing

csharp
[WolverinePost("/orders")]
public static async Task<IResult> CreateOrder(
    CreateOrderRequest request,
    IDocumentSession session,
    IMessageBus bus)
{
    var order = new Order { Id = Guid.NewGuid(), Items = request.Items };
    session.Store(order);
    
    await bus.PublishAsync(new OrderCreated(order.Id));
    
    return Results.Created($"/orders/{order.Id}", order);
}

Compound Handler (Load/Validate/Handle)

csharp
public static class UpdateOrderEndpoint
{
    public static async Task<(Order?, IResult)> LoadAsync(
        UpdateOrder command,
        IDocumentSession session)
    {
        var order = await session.LoadAsync<Order>(command.OrderId);
        return order != null
            ? (order, new WolverineContinue())
            : (order, Results.NotFound());
    }

    [WolverinePut("/orders")]
    public static void Handle(UpdateOrder command, Order order, IDocumentSession session)
    {
        order.Items = command.Items;
        session.Store(order);
    }
}

Event Sourcing with Marten

Aggregate Handler Workflow

csharp
public class Order
{
    public Guid Id { get; set; }
    public int Version { get; set; }
    public Dictionary<string, Item> Items { get; set; } = new();
    public DateTimeOffset? Shipped { get; private set; }

    public void Apply(ItemReady ready) => Items[ready.Name].Ready = true;
    public void Apply(IEvent<OrderShipped> shipped) => Shipped = shipped.Timestamp;

    public bool IsReadyToShip() => Shipped == null && Items.Values.All(x => x.Ready);
}

public record MarkItemReady(Guid OrderId, string ItemName, int Version);

[AggregateHandler]
public static IEnumerable<object> Handle(MarkItemReady command, Order order)
{
    if (order.Items.TryGetValue(command.ItemName, out var item))
    {
        item.Ready = true;
        yield return new ItemReady(command.ItemName);
    }
    
    if (order.IsReadyToShip())
    {
        yield return new OrderReady();
    }
}

Read Aggregate (Read-Only)

csharp
[WolverineGet("/orders/{id}")]
public static Order GetOrder([ReadAggregate] Order order) => order;

Write Aggregate with Validation

csharp
public static IEnumerable<object> Handle(
    MarkItemReady command,
    [WriteAggregate(Required = true, OnMissing = OnMissing.ProblemDetailsWith404)] Order order)
{
    order.Items[command.ItemName].Ready = true;
    yield return new ItemReady(command.ItemName);
}

Returning Updated Aggregate

csharp
[AggregateHandler]
public static (UpdatedAggregate, Events) Handle(
    MarkItemReady command,
    Order order)
{
    var events = new Events();
    events.Add(new ItemReady(command.ItemName));
    return (new UpdatedAggregate(), events);
}

Transactional Outbox

Marten Integration

csharp
builder.Services.AddMarten(opts =>
{
    opts.Connection(connectionString);
}).IntegrateWithWolverine();

builder.Host.UseWolverine(opts =>
{
    opts.Policies.AutoApplyTransactions();
});

Using Outbox in Controllers

csharp
[HttpPost("/orders")]
public async Task Post(
    [FromBody] CreateOrder command,
    [FromServices] IDocumentSession session,
    [FromServices] IMartenOutbox outbox)
{
    outbox.Enroll(session);
    
    var order = new Order { Id = command.OrderId };
    session.Store(order);
    
    await outbox.PublishAsync(new OrderCreated(command.OrderId));
    
    await session.SaveChangesAsync();
}

Transport Configuration

RabbitMQ

csharp
builder.Host.UseWolverine(opts =>
{
    opts.UseRabbitMq("host=localhost")
        .AutoProvision()
        .AutoPurgeOnStartup();
    
    opts.PublishAllMessages()
        .ToRabbitExchange("wolverine.events", exchange =>
        {
            exchange.ExchangeType = ExchangeType.Topic;
        });
});

Azure Service Bus

csharp
builder.Host.UseWolverine(opts =>
{
    opts.UseAzureServiceBus(asbConnectionString)
        .AutoProvision()
        .ConfigureQueue(q => q.MaxDeliveryCount = 5);
});

Amazon SQS

csharp
builder.Host.UseWolverine(opts =>
{
    opts.UseAmazonSqs(sqsConfig)
        .AutoProvision();
});

Batch Message Processing

Configure Batching

csharp
builder.Host.UseWolverine(opts =>
{
    opts.BatchMessagesOf<SubTaskCompleted>(batching =>
    {
        batching.BatchSize = 500;
        batching.TriggerTime = 1.Seconds();
    });
});

Batch Handler

csharp
public static class ItemBatchHandler
{
    public static void Handle(Item[] items, IRepository repository)
    {
        foreach (var item in items)
        {
            repository.Process(item);
        }
    }
}

Custom Batching Strategy

csharp
public record SubTaskCompleted(string TaskId, string SubTaskId);
public record SubTaskBatch(string TaskId, string[] SubTaskIds);

public class SubTaskBatcher : IMessageBatcher
{
    public IEnumerable<Envelope> Group(IReadOnlyList<Envelope> envelopes)
    {
        var groups = envelopes
            .GroupBy(x => x.Message!.As<SubTaskCompleted>().TaskId);
        
        foreach (var group in groups)
        {
            var subTaskIds = group
                .Select(x => x.Message)
                .OfType<SubTaskCompleted>()
                .Select(x => x.SubTaskId)
                .ToArray();
            
            yield return new Envelope(
                new SubTaskBatch(group.Key, subTaskIds),
                group);
        }
    }

    public Type BatchMessageType => typeof(SubTaskBatch);
}

Error Handling

Retry Policies

csharp
builder.Host.UseWolverine(opts =>
{
    opts.Policies.OnException<SqlException>()
        .RetryWithCooldown(50.Milliseconds(), 100.Milliseconds(), 250.Milliseconds());
    
    opts.Policies.OnException<TimeoutException>()
        .RetryTimes(3);
    
    opts.Policies.OnException<InvalidOperationException>()
        .Requeue();
    
    opts.Policies.OnAnyException()
        .MoveToErrorQueue();
});

Circuit Breaker

csharp
opts.ListenToRabbitQueue("incoming")
    .CircuitBreaker(cb =>
    {
        cb.PauseTime = 1.Minutes();
        cb.FailurePercentageThreshold = 50;
        cb.MinimumThreshold = 10;
    });

Scheduled Messages

Delayed Messages

csharp
public static IEnumerable<object> Handle(OrderCreated command)
{
    yield return new ProcessPayment(command.OrderId);
    yield return new ShipOrder(command.OrderId)
        .DelayedFor(30.Minutes());
}

Scheduled at Specific Time

csharp
yield return new GenerateReport()
    .ScheduledAt(DateTime.Today.AddDays(1));

Using OutgoingMessages

csharp
var messages = new OutgoingMessages();
messages.Delay(new Reminder(orderId), TimeSpan.FromHours(24));
messages.Schedule(new MonthlyReport(), DateTime.Today.AddMonths(1));

Request/Reply Pattern

Sending with Response Request

csharp
public async Task<OrderStatus> GetOrderStatus(IMessageBus bus, Guid orderId)
{
    return await bus.InvokeAsync<OrderStatus>(new GetOrder(orderId));
}

Handler with Response

csharp
public record GetOrder(Guid OrderId);
public record OrderStatus(Guid OrderId, string Status);

public static class GetOrderHandler
{
    public static OrderStatus Handle(GetOrder query, IQuerySession session)
    {
        var order = session.Load<Order>(query.OrderId);
        return new OrderStatus(query.OrderId, order?.Status ?? "NotFound");
    }
}

Middleware

Custom Middleware

csharp
public class LoggingMiddleware
{
    public void Before(Envelope envelope, ILogger logger)
    {
        logger.LogInformation("Processing {MessageType}", envelope.MessageType);
    }

    public void After(Envelope envelope, ILogger logger)
    {
        logger.LogInformation("Completed {MessageType}", envelope.MessageType);
    }
}

builder.Host.UseWolverine(opts =>
{
    opts.Handlers.AddMiddleware<LoggingMiddleware>();
});

Transaction Middleware

csharp
builder.Host.UseWolverine(opts =>
{
    opts.Policies.AutoApplyTransactions();
});

Code Generation

Pre-Generate Types

bash
dotnet run -- codegen write

Generated code appears in ./Internal/Generated/WolverineHandlers/

Configure for AOT/Trimming

csharp
builder.Host.UseWolverine(opts =>
{
    opts.CodeGeneration.TypeLoadMode = TypeLoadMode.Auto;
});

Multi-Tenancy

Conjoined Tenancy

csharp
builder.Host.UseWolverine(opts =>
{
    opts.Policies.ConjoinedTenancy(x =>
    {
        x.TenantIdStyle = TenantIdStyle.PerRequest;
    });
});

Publishing to Specific Tenant

csharp
await bus.PublishAsync(new OrderCreated(orderId), 
    new DeliveryOptions { TenantId = "tenant-1" });

Marten Side Effects

csharp
public static IMartenOp Handle(CreateTodo command)
{
    var todo = new Todo { Name = command.Name };
    return MartenOps.Store(todo);
}

public static IMartenOp Handle(DeleteTodo command)
{
    return MartenOps.Delete<Todo>(command.Id);
}

Ancillary Stores (Modular Monolith)

csharp
public interface IPlayerStore : IDocumentStore;

builder.Host.UseWolverine(opts =>
{
    opts.Services.AddMartenStore<IPlayerStore>(m =>
    {
        m.Connection(connectionString);
        m.DatabaseSchemaName = "players";
    })
    .IntegrateWithWolverine();
});

[MartenStore(typeof(IPlayerStore))]
public static class PlayerMessageHandler
{
    public static IMartenOp Handle(PlayerMessage message)
    {
        return MartenOps.Store(new Player { Id = message.Id });
    }
}

Command Line Tools

Available Commands

bash
dotnet run -- help           # List all commands
dotnet run -- describe       # Application description
dotnet run -- resources      # Resource management
dotnet run -- storage        # Message storage admin
dotnet run -- codegen write  # Pre-generate code

Best Practices

  1. Prefer pure functions - Business logic should be testable without mocks
  2. Use cascading messages - Return messages instead of injecting IMessageBus
  3. Keep call stacks short - Avoid deep service hierarchies
  4. Pre-generate code - Optimize cold starts in production
  5. Use compound handlers - Separate load/validate/handle logic
  6. Configure error handling - Let Wolverine handle retries and errors
  7. Use transactional outbox - Guarantee message delivery
  8. Batch when appropriate - Improve throughput for high-volume messages

Anti-Patterns to Avoid

  1. Injecting IMessageBus deep in call stack - Makes workflow hard to reason about
  2. Over-using constructor injection - Prefer method injection
  3. Ignoring transactional outbox - Can lose messages on failure
  4. Not pre-generating code - Slow cold starts in production
  5. Mixing too many concerns in one handler - Keep handlers focused
  6. Not configuring error handling - Messages end up in error queue unexpectedly

Frequently asked questions

What does the Csharp Wolverinefx AI skill do?

Build .NET applications with WolverineFX for messaging, HTTP services, and event sourcing. Use when implementing command handlers, message handlers, HTTP endpoints with WolverineFx.HTTP, transactional outbox patterns, event sourcing with Marten, CQRS architectures, cascading messages, batch message processing, or configuring transports like RabbitMQ, Azure Service Bus, or Amazon SQS.

Why use Csharp Wolverinefx on TypingMind?

Because you install it once and use it with any model. Csharp Wolverinefx is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Csharp Wolverinefx in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wshaddix/dotnet-skills/tree/master/skills/csharp-wolverinefx. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Csharp Wolverinefx?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Csharp Wolverinefx?

As many as you like. As long as a model supports skills, you can use Csharp Wolverinefx with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Csharp Wolverinefx AI skill free?

It is published on GitHub by wshaddix. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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