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go-messaging

Enable inter-service messaging in Go with channels, goroutine pools, and external brokers.

11|1|Updated Feb 9, 2026
Search Tags:#messaging#redis#go#channels#kafka#nats#rabbitmq
One-click install
npx skills add https://github.com/mindcockpit-ai/cognitive-core --skill go-messaging-mindcockpit-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: go-messaging
Source: https://github.com/mindcockpit-ai/cognitive-core/tree/main/language-packs/go/skills/go-messaging
Command: npx skills add https://github.com/mindcockpit-ai/cognitive-core --skill go-messaging-mindcockpit-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers need a clear, scalable approach to handle communication between goroutines and services, ensuring reliable message passing without reinventing boilerplate for each broker.

Core Features & Use Cases

  • In‑process channels & goroutine pools for lightweight concurrency.
  • NATS integration for lightweight pub/sub with optional JetStream persistence.
  • RabbitMQ support with durable queues, dead‑letter handling, and routing.
  • Redis Streams consumer groups for event sourcing lite.
  • Kafka high‑throughput streaming with partitioning and replication.
  • Testing utilities for each broker using embedded servers or testcontainers.

Quick Start

Use the go-messaging skill to publish a test event to a NATS subject.

Frequently Asked Questions about go-messaging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I handle reliable messaging between Go microservices?▼

Reliable messaging in Go microservices is supported via typed interfaces and context-aware cancellation across channels, goroutine pools, and external brokers like NATS, RabbitMQ, Redis Streams, and Kafka.

What is the best way to choose between Kafka and RabbitMQ for Go distributed systems?▼

Choosing between Kafka and RabbitMQ depends on requirements: Kafka supports high-throughput streaming with partitioning, while RabbitMQ provides durable queues, dead-letter handling, and routing for distributed systems.

Can I use Redis Streams for event sourcing in Go?▼

Yes, Redis Streams supports event sourcing lite in Go by utilizing consumer groups to manage event consumption and provide optional persistence for inter-service communication.

Does this Go messaging approach support in-process concurrency without an external broker?▼

Yes, this Go messaging approach supports in-process concurrency without an external broker by utilizing native channels and goroutine pools for lightweight communication within services.

How do I test message brokers in Go without a live production environment?▼

You test message brokers in Go without a live environment by using provided testing utilities that leverage embedded servers or testcontainers for NATS, RabbitMQ, Redis Streams, and Kafka.

When do I need NATS JetStream persistence for Go messaging?▼

You need NATS JetStream persistence for Go messaging when lightweight pub/sub requires optional message durability to meet reliability requirements in distributed systems where message loss is unacceptable.

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