golang-samber-ro

Implement reactive programming pipelines in Go with samber/ro.

Updated May 30, 2026

Search Tags:#data processing #event-driven #Go #reactive programming #samber/ro

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npx skills add https://github.com/ozan-fn/mqtt-capture --skill golang-samber-ro-ozan-fn

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Please help me install this Agent Skill.
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.