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Messaging

Organization
codewithmukesh
messaging

Asynchronous messaging patterns for .NET applications. Covers Wolverine and MassTransit, outbox pattern, saga and choreography, and broker configuration for RabbitMQ and Azure Service Bus. Load this skill when implementing event-driven communication, background processing, module-to-module messaging, or when the user mentions "Wolverine", "MassTransit", "message bus", "RabbitMQ", "Azure Service Bus", "event", "publish", "consumer", "outbox", "saga", "integration event", "queue", or "pub/sub".

Overview

Publishercodewithmukesh
Repositorydotnet-claude-kit
Skill namemessaging
Stars
721
Forks
170
Bundled files
Instructions only
LicenseMIT
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 codewithmukesh on GitHub. Read the source before you install it.

Installation

Install the Messaging 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/codewithmukesh/dotnet-claude-kit.git /tmp/dotnet-claude-kit
mkdir -p .claude/skills
cp -r /tmp/dotnet-claude-kit/skills/messaging .claude/skills/messaging
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Messaging 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 Messaging 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 Messaging 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.

Messaging

Core Principles

  1. Wolverine is the recommended default — MIT licensed, combines mediator + messaging in one library with built-in outbox, saga support, and convention-based handlers. MassTransit is an alternative but requires a commercial license from v9.
  2. Outbox pattern for reliability — Always use the transactional outbox to ensure messages are published only when the database transaction succeeds.
  3. Choreography for simple flows, saga for complex — If a workflow has 2-3 steps, use event choreography. If it has compensating actions or complex state, use a saga.
  4. Messages are contracts — Put message types in a shared contracts project. Keep them as simple records with primitive types.

Patterns

Wolverine Setup

csharp
// Program.cs
builder.Host.UseWolverine(opts =>
{
    // Auto-discover handlers from this assembly
    opts.Discovery.IncludeAssembly(typeof(Program).Assembly);

    // RabbitMQ transport
    opts.UseRabbitMq(rabbit =>
    {
        rabbit.HostName = "localhost";
        // Or from configuration:
        // rabbit.HostName = builder.Configuration["RabbitMq:Host"]!;
    })
    .AutoProvision()   // Create queues/exchanges automatically
    .AutoPurgeOnStartup(); // Dev only — clear queues on startup

    // Enable transactional outbox with EF Core
    opts.Services.AddDbContextWithWolverineIntegration<AppDbContext>(x =>
        x.UseNpgsql(builder.Configuration.GetConnectionString("Default")));

    opts.Policies.AutoApplyTransactions(); // Wrap handlers in DB transactions
});

Why: UseWolverine() registers handler discovery, transport, and outbox in one place. AutoProvision() eliminates manual broker setup during development.

Publishing Events

Wolverine supports two publishing styles: cascading messages (return values) and explicit publishing.

csharp
// Message contract (in shared Contracts project)
public record OrderCreated(Guid OrderId, string CustomerId, decimal Total, DateTimeOffset CreatedAt);

// Style 1: Cascading messages — return the event from the handler
// Wolverine automatically publishes returned messages after the handler completes.
public static class CreateOrder
{
    public record Command(string CustomerId, List<OrderItem> Items);
    public record Response(Guid OrderId, decimal Total);

    public static async Task<(Response, OrderCreated)> HandleAsync(
        Command command, AppDbContext db, TimeProvider clock, CancellationToken ct)
    {
        var order = Order.Create(command.CustomerId, command.Items, clock.GetUtcNow());
        db.Orders.Add(order);
        await db.SaveChangesAsync(ct);

        var response = new Response(order.Id, order.Total);
        var @event = new OrderCreated(order.Id, order.CustomerId, order.Total, order.CreatedAt);

        return (response, @event); // Both are published automatically
    }
}
csharp
// Style 2: Explicit publishing via IMessageBus
public static class CreateOrder
{
    public record Command(string CustomerId, List<OrderItem> Items);
    public record Response(Guid OrderId, decimal Total);

    public static async Task<Response> HandleAsync(
        Command command, AppDbContext db, IMessageBus bus, TimeProvider clock, CancellationToken ct)
    {
        var order = Order.Create(command.CustomerId, command.Items, clock.GetUtcNow());
        db.Orders.Add(order);
        await db.SaveChangesAsync(ct);

        await bus.PublishAsync(new OrderCreated(
            order.Id, order.CustomerId, order.Total, order.CreatedAt));

        return new Response(order.Id, order.Total);
    }
}

Why: Cascading messages (tuple return) are simpler and testable — the handler is a pure function. Use explicit IMessageBus when publishing is conditional or requires multiple events.

Consuming Events

Wolverine uses convention-based handlers — no interface, no base class. Just a Handle method with the message type as the first parameter.

csharp
// Notifications module — handles OrderCreated from Orders module
public static class OrderCreatedHandler
{
    public static async Task HandleAsync(
        OrderCreated message, NotificationsDbContext db, ILogger logger, CancellationToken ct)
    {
        logger.LogInformation("Processing OrderCreated: {OrderId}", message.OrderId);

        var notification = new OrderNotification(message.OrderId, message.CustomerId);
        db.Notifications.Add(notification);
        await db.SaveChangesAsync(ct);
    }
}

Why: Convention-based handlers have zero ceremony. Wolverine discovers them by signature: any public method named Handle/HandleAsync/Consume/ConsumeAsync with the message type as the first parameter.

Transactional Outbox

Ensures messages are only published if the database transaction succeeds.

csharp
// 1. Register DbContext with Wolverine integration
builder.Host.UseWolverine(opts =>
{
    opts.Services.AddDbContextWithWolverineIntegration<AppDbContext>(x =>
        x.UseNpgsql(builder.Configuration.GetConnectionString("Default")));

    opts.Policies.AutoApplyTransactions();
});

// 2. DbContext — add Wolverine outbox tables
public class AppDbContext(DbContextOptions<AppDbContext> options) : DbContext(options)
{
    public DbSet<Order> Orders => Set<Order>();

    protected override void OnModelCreating(ModelBuilder modelBuilder)
    {
        // Wolverine inbox/outbox tables — required for transactional messaging
        modelBuilder.AddIncomingWolverineMessageTable();
        modelBuilder.AddOutgoingWolverineMessageTable();
    }
}

Why: AddDbContextWithWolverineIntegration + AutoApplyTransactions wraps every handler in a transaction that includes outbox writes. Messages are only sent after the transaction commits — no dual-write problem.

Saga (Stateful Orchestration)

Wolverine sagas use a Saga<T> base class with Start and Handle methods. Cascading messages drive the saga forward.

csharp
public record OrderSagaState(Guid Id)
{
    public string? CustomerId { get; set; }
    public bool PaymentReceived { get; set; }
}

public class OrderSaga : Saga<OrderSagaState>
{
    public Guid Id { get; set; }

    // Start the saga when an OrderCreated event arrives
    public static (OrderSagaState, ProcessPayment) Start(OrderCreated message)
    {
        var state = new OrderSagaState(message.OrderId)
        {
            CustomerId = message.CustomerId
        };

        var command = new ProcessPayment(message.OrderId, message.Total);
        return (state, command); // State is persisted, command is sent
    }

    // Handle payment result
    public CompleteOrder Handle(PaymentCompleted message)
    {
        PaymentReceived = true;
        MarkCompleted(); // Ends the saga
        return new CompleteOrder(Id);
    }

    // Compensating action on failure
    public CancelOrder Handle(PaymentFailed message)
    {
        MarkCompleted();
        return new CancelOrder(Id);
    }
}

Why: Wolverine sagas use simple C# methods instead of a state machine DSL. Each handler returns cascading messages to drive the workflow. MarkCompleted() cleans up the saga state.

Alternative: MassTransit

MassTransit is a mature alternative with a commercial license requirement from v9+. Key API surface:

csharp
// Setup
builder.Services.AddMassTransit(x =>
{
    x.SetKebabCaseEndpointNameFormatter();
    x.AddConsumers(typeof(Program).Assembly);
    x.UsingRabbitMq((context, cfg) =>
    {
        cfg.Host(builder.Configuration.GetConnectionString("RabbitMq"));
        cfg.ConfigureEndpoints(context);
    });
});

// Publishing
await publishEndpoint.Publish(new OrderCreated(...), ct);

// Consuming — requires IConsumer<T> interface
public class OrderCreatedConsumer(AppDbContext db) : IConsumer<OrderCreated>
{
    public async Task Consume(ConsumeContext<OrderCreated> context)
    {
        var message = context.Message;
        // Handle event...
    }
}

// Outbox
x.AddEntityFrameworkOutbox<AppDbContext>(o =>
{
    o.UsePostgres();
    o.UseBusOutbox();
});

// Saga — uses MassTransitStateMachine<TState>
public class OrderSaga : MassTransitStateMachine<OrderSagaState> { /* ... */ }

License note: MassTransit v9+ requires a commercial license for production use. Wolverine (MIT) is the recommended default for new projects.

Anti-patterns

Don't Publish Events Without Outbox

csharp
// BAD — if SaveChanges succeeds but Publish fails, data is inconsistent
await db.SaveChangesAsync(ct);
await bus.PublishAsync(new OrderCreated(...));

// GOOD — use transactional outbox (messages are in the same transaction)
// Configure AddDbContextWithWolverineIntegration() + AutoApplyTransactions()
// Wolverine handles this automatically

Don't Put Complex Logic in Message Contracts

csharp
// BAD — behavior in a message
public record OrderCreated(Guid OrderId)
{
    public decimal CalculateShipping() => /* logic */; // DON'T
}

// GOOD — messages are pure data
public record OrderCreated(Guid OrderId, string CustomerId, decimal Total, DateTimeOffset CreatedAt);

Don't Use Fire-and-Forget for Important Events

csharp
// BAD — no guarantee of delivery
_ = Task.Run(() => bus.PublishAsync(new OrderCreated(...)));

// GOOD — await the publish (with outbox, this is transactional)
await bus.PublishAsync(new OrderCreated(...));

Decision Guide

ScenarioRecommendation
Module-to-module communication (new project)Wolverine with events (MIT, free)
Module-to-module communication (existing MassTransit)MassTransit (commercial license required from v9)
Reliable event publishingTransactional outbox (both Wolverine and MassTransit support this)
Simple 2-3 step workflowEvent choreography
Complex workflow with compensationWolverine saga or MassTransit saga
Local development brokerRabbitMQ (via Docker or Aspire)
Production cloud brokerAzure Service Bus or RabbitMQ
Want single lib for mediator + messagingWolverine (replaces both Mediator and MassTransit)

Frequently asked questions

What does the Messaging AI skill do?

Asynchronous messaging patterns for .NET applications. Covers Wolverine and MassTransit, outbox pattern, saga and choreography, and broker configuration for RabbitMQ and Azure Service Bus. Load this skill when implementing event-driven communication, background processing, module-to-module messaging, or when the user mentions "Wolverine", "MassTransit", "message bus", "RabbitMQ", "Azure Service Bus", "event", "publish", "consumer", "outbox", "saga", "integration event", "queue", or "pub/sub".

Why use Messaging on TypingMind?

Because you install it once and use it with any model. Messaging 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 Messaging in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/codewithmukesh/dotnet-claude-kit/tree/main/skills/messaging. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Messaging?

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 Messaging?

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

Is the Messaging AI skill free?

Yes. It is published on GitHub by codewithmukesh under the MIT license. 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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