golang-samber-ro

Create declarative reactive pipelines in Go using samber/ro operators.

23|1|Updated May 10, 2026
One-click install
npx skills add https://github.com/berksunduri/GOPost --skill golang-samber-ro-berksunduri
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: golang-samber-ro
Source: https://github.com/berksunduri/GOPost/tree/main/.agents/skills/golang-samber-ro
Command: npx skills add https://github.com/berksunduri/GOPost --skill golang-samber-ro-berksunduri

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 addresses the complexity of building asynchronous event-driven pipelines in Go by leveraging samber/ro's reactive programming features, making it easier to handle real-time data processing and streams.

Core Features & Use Cases

  • Reactive Streams: Implements ReactiveX principles with 150+ type-safe operators.
  • Hot Observables: Support for cold and hot observables with various subjects.
  • Declarative Pipelines: Utilizes Pipe functions for composing pipelines without manual goroutine/channel management.
  • Use Case: Ideal for Go developers looking to create robust, efficient, and scalable reactive applications, particularly for real-time data processing and event-driven systems.

Quick Start

To use the golang-samber-ro skill, first install it using the command: go get github.com/samber/ro. Then, write your reactive pipeline code in Go.

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 stream processing?

Yes, you can create event-driven architectures in Go by utilizing samber/ro's 150+ type-safe operators and subjects. This approach implements ReactiveX principles to handle asynchronous data streams and real-time processing effectively.

Does samber/ro support hot and cold observables for event-driven applications?

Yes, samber/ro supports both cold and hot observables. It provides various subjects to construct event-driven applications, allowing Go developers to manage real-time data streams and reactive programming paradigms efficiently.

What is the best way to handle asynchronous streams in Go without manual channels?

Using samber/ro's declarative pipelines is an effective way to handle asynchronous streams. It abstracts manual goroutine and channel management through type-safe operators, streamlining real-time data processing in Go.

Do I need manual goroutine management for reactive programming in Go?

No, manual goroutine management is not required. The samber/ro library allows you to compose declarative pipelines using Pipe functions and type-safe operators, abstracting away the complexity of underlying channels and concurrency.

When should I use declarative pipelines for stream processing in Go?

Declarative pipelines are ideal when building scalable, real-time data processing systems or event-driven architectures in Go. They provide a robust way to manage complex asynchronous streams using type-safe reactive operators.