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Olore Masstransit Latest

Organization
olorehq
olore-masstransit-latest

Local MassTransit documentation reference (latest). MassTransit message bus documentation. Use for distributed messaging, consumers, sagas, state machines, RabbitMQ, Azure Service Bus, Amazon SQS, and event-driven architecture in .NET.

Overview

Publisherolorehq
Repositoryolore
Skill nameolore-masstransit-latest
Stars
103
Forks
6
Bundled files
98
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.

  • 98 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Olore Masstransit Latest 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/olorehq/olore.git /tmp/olore
mkdir -p .claude/skills
cp -r /tmp/olore/vault/packages/masstransit/latest .claude/skills/olore-masstransit-latest
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Olore Masstransit Latest 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 Olore Masstransit Latest 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 Olore Masstransit Latest 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.

MassTransit Documentation

MassTransit is an open-source distributed application framework for .NET that provides a consistent abstraction on top of supported message transports (RabbitMQ, Azure Service Bus, Amazon SQS, Kafka, ActiveMQ, SQL, and more). It simplifies building event-driven, message-based applications with consumers, sagas, state machines, routing slips, and the outbox pattern.

Documentation Structure

contents/
├── 2.quick-starts/          # Transport-specific quick start guides (6 files)
├── 3.documentation/
│   ├── 1.concepts/          # Core messaging concepts (10 files)
│   ├── 2.configuration/     # Full configuration reference (40 files)
│   │   ├── 1.sagas/         # Saga configuration
│   │   ├── 2.transports/    # Transport-specific config
│   │   ├── 3.middleware/    # Middleware and filters
│   │   ├── 4.persistence/   # Saga persistence backends
│   │   ├── 6.topology/      # Broker topology
│   │   ├── 7.routing-slips/ # Routing slip configuration
│   │   └── integrations/    # SignalR, logging, NServiceBus, analyzers
│   ├── 3.patterns/          # Messaging patterns (12 files)
│   │   ├── 6.saga/          # Saga patterns and state machines
│   │   └── 7.routing-slips/ # Routing slip patterns
│   └── 6.transports/        # Transport reference docs (7 files)
├── 4.support/               # Upgrade guides and troubleshooting (5 files)
└── samples/                 # Complete working code samples (5 files)

Topic Guide

TopicKey Files
Getting started / setupcontents/2.quick-starts/1.in-memory.md, contents/3.documentation/2.configuration/0.index.md
Messages and contractscontents/3.documentation/1.concepts/1.messages.md, contents/3.documentation/2.configuration/serialization.md
Consumerscontents/3.documentation/1.concepts/2.consumers.md, contents/3.documentation/2.configuration/1.consumers.md
Publishing and sendingcontents/3.documentation/1.concepts/3.producers.md
Request / responsecontents/3.documentation/1.concepts/6.requests.md
Exception handling and retrycontents/3.documentation/1.concepts/4.exceptions.md
Testingcontents/3.documentation/1.concepts/5.testing.md, contents/3.documentation/2.configuration/test-harness.md
Sagas and state machinescontents/3.documentation/3.patterns/6.saga/2.state-machine.md, contents/3.documentation/2.configuration/1.sagas/0.overview.md
Saga persistencecontents/3.documentation/2.configuration/4.persistence/entity-framework.md, contents/3.documentation/2.configuration/4.persistence/marten.md, contents/3.documentation/2.configuration/4.persistence/mongodb.md, contents/3.documentation/2.configuration/4.persistence/redis.md
RabbitMQcontents/2.quick-starts/2.rabbitmq.md, contents/3.documentation/2.configuration/2.transports/2.rabbitmq.md, contents/3.documentation/6.transports/2.rabbitmq.md
Azure Service Buscontents/2.quick-starts/3.azure-service-bus.md, contents/3.documentation/2.configuration/2.transports/3.azure-service-bus.md
Amazon SQScontents/2.quick-starts/4.amazon-sqs.md, contents/3.documentation/2.configuration/2.transports/4.amazon-sqs.md
Kafkacontents/3.documentation/2.configuration/2.transports/10.kafka.md, contents/3.documentation/6.transports/kafka.md
SQL transport / PostgreSQLcontents/2.quick-starts/5.postgresql.md, contents/3.documentation/2.configuration/2.transports/6.sql.md
Outbox patterncontents/3.documentation/3.patterns/10.in-memory-outbox.md, contents/3.documentation/3.patterns/11.transactional-outbox.md, contents/3.documentation/2.configuration/3.middleware/3.outbox.md
Job consumerscontents/3.documentation/3.patterns/13.job-consumers.md, contents/samples/job-consumer.md
Routing slips / Couriercontents/3.documentation/1.concepts/7.routing-slips.md, contents/3.documentation/2.configuration/7.routing-slips/0.overview.md
Middleware and filterscontents/3.documentation/2.configuration/3.middleware/0.index.md, contents/3.documentation/2.configuration/3.middleware/1.filters.md
Schedulingcontents/3.documentation/2.configuration/5.scheduling.md
Observability / OpenTelemetrycontents/3.documentation/2.configuration/observability.md
MultiBuscontents/3.documentation/2.configuration/multibus.md
Topology and broker configurationcontents/3.documentation/2.configuration/6.topology/0.index.md, contents/3.documentation/2.configuration/6.topology/deploy.md
Upgrading between versionscontents/4.support/4.upgrade.md
Troubleshootingcontents/4.support/common-mistakes.md, contents/4.support/show-configuration.md

When to use

Use this skill when the user asks about:

  • Setting up MassTransit with any transport (RabbitMQ, Azure Service Bus, Amazon SQS, Kafka, SQL)
  • Defining and consuming messages in .NET
  • Publishing and sending messages, request/response patterns
  • Writing consumers, including fault consumers and exception handling
  • Sagas, state machines, and stateful workflow patterns
  • Saga persistence with Entity Framework, MongoDB, Redis, Marten, DynamoDB, etc.
  • Outbox pattern (in-memory or transactional) for exactly-once delivery
  • Routing slips and activity-based workflows (Courier)
  • Job consumers for long-running background work
  • Middleware, filters, and pipeline customization
  • Message scheduling and delayed delivery
  • Topology configuration and broker setup
  • Testing MassTransit applications with the test harness
  • Observability with OpenTelemetry
  • Upgrading MassTransit versions

How to find information

  1. Use Topic Guide above to identify relevant files
  2. Read TOC.md for complete file listing by directory
  3. Read specific files from contents/{path}

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 38 more files.

Frequently asked questions

What does the Olore Masstransit Latest AI skill do?

Local MassTransit documentation reference (latest). MassTransit message bus documentation. Use for distributed messaging, consumers, sagas, state machines, RabbitMQ, Azure Service Bus, Amazon SQS, and event-driven architecture in .NET.

Why use Olore Masstransit Latest on TypingMind?

Because you install it once and use it with any model. Olore Masstransit Latest 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 Olore Masstransit Latest in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/olorehq/olore/tree/main/vault/packages/masstransit/latest. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Olore Masstransit Latest?

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 Olore Masstransit Latest?

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

Is the Olore Masstransit Latest AI skill free?

Yes. It is published on GitHub by olorehq 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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