golang-samber-ro

Implement reactive programming pipelines in Go with samber/ro.

Updated May 30, 2026
One-click install
npx skills add https://github.com/ozan-fn/mqtt-capture --skill golang-samber-ro-ozan-fn
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Skill: golang-samber-ro
Source: https://github.com/ozan-fn/mqtt-capture/tree/main/.agents/skills/golang-samber-ro
Command: npx skills add https://github.com/ozan-fn/mqtt-capture --skill golang-samber-ro-ozan-fn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires github.com/samber/ro, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide to building reactive pipelines in Go using the samber/ro library, enabling developers to create event-driven, asynchronous data processing applications.

Core Features & Use Cases

  • Reactive Programming: Implement reactive streams and event-driven programming patterns in Go.
  • Operator Library: Utilize over 150 type-safe operators for various transformations and filtering.
  • Subjects: Choose from different subject types (Publish, Behavior, Replay, Async, Unicast) for various use cases.
  • Use Case: For a Go developer looking to implement a real-time data processing pipeline that requires backpressure, error propagation, and Go context integration.

Quick Start

Install the samber/ro library using go get github.com/samber/ro. Then, use the ro.Pipe chain to transform and process data streams in your Go application.

Frequently Asked Questions about golang-samber-ro

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

FAQPage Schema
How do I build reactive pipelines in Go for real-time data processing?

You can build reactive pipelines in Go using the samber/ro library to create declarative, asynchronous data streams. It provides over 150 type-safe operators for transforming and filtering real-time data within event-driven architectures.

What is the best way to handle infinite streams in an event-driven Go application?

Handling infinite streams in an event-driven Go application is best achieved through reactive programming. Using samber/ro, developers can manage backpressure, error propagation, and Go context integration for continuous asynchronous data flows.

How do I get started with samber/ro for reactive programming in Go?

To get started with samber/ro for reactive programming in Go, install the library using `go get github.com/samber/ro`. Then, utilize the `ro.Pipe` chain to declaratively transform and process data streams in your application.

Does samber/ro support different subject types for event-driven architecture?

Yes, samber/ro supports different subject types for event-driven architecture. You can choose from Publish, Behavior, Replay, Async, and Unicast subjects to handle various reactive stream distribution use cases in Go.

Can I use Go context integration with asynchronous reactive streams?

Yes, you can use Go context integration with asynchronous reactive streams. The samber/ro library explicitly supports Go context integration alongside backpressure and error propagation for robust pipeline management.

Why use reactive programming patterns instead of standard channels for Go data processing?

Reactive programming patterns offer declarative transformations and built-in backpressure for Go data processing, unlike standard channels. The samber/ro library provides 150 type-safe operators for filtering streams that standard channels lack.