golang-samber-ro

Build reactive data pipelines in Go with samber/ro operators.

7|1|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/Harmeet10000/skills --skill golang-samber-ro-harmeet10000
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: golang-samber-ro
Source: https://github.com/Harmeet10000/skills/tree/main/skills/backend/Golang/golang-samber-ro
Command: npx skills add https://github.com/Harmeet10000/skills --skill golang-samber-ro-harmeet10000

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Go developers frequently struggle to coordinate asynchronous data flows, backpressure, and robust error handling in production-grade services. This Skill provides a declarative approach to building reactive pipelines in Go using samber/ro, enabling composable streams, hot/cold observables, and flexible subject patterns.

Core Features & Use Cases

  • 150+ operators across creation, transformation, filtering, combining, and error handling.
  • Support for cold and hot observables, multiple subject types, and context-aware pipelines.
  • Integration points through optional plugins and utilities for real-world data processing and orchestration.

Quick Start

Instantiate a simple pipeline using Just/FromSlice, transform with Map, and terminate with Collect.

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 asynchronous data pipelines in Go?

Build asynchronous data pipelines in Go declaratively using samber/ro. Instantiate streams with Just or FromSlice, transform data with Map, and terminate with Collect for reliable, composable data processing.

What is the best way to handle backpressure in Go reactive streams?

Handle backpressure in Go reactive streams using context-aware pipelines from samber/ro. The library provides declarative operators that manage data flow and prevent overwhelming consumers in asynchronous environments.

How do I coordinate complex orchestration across microservices in Go?

Coordinate complex orchestration across microservices using declarative reactive streams. Samber/ro supports hot and cold observables, multiple subject types, and 150+ operators to manage event-driven service communication.

Does the samber/ro library support cold and hot observables for real-time processing?

Yes, samber/ro supports both cold and hot observables for real-time data processing. It includes multiple subject types and optional plugins to integrate flexible event-driven workflows in Go applications.

How do I use operators to transform and filter data in a Go pipeline?

Transform and filter data in a Go pipeline using over 150 operators provided by samber/ro. These operators cover creation, transformation, filtering, combining, and error handling for robust stream processing.

What are the limitations of using declarative pipelines for Go asynchronous streams?

Declarative pipelines in Go require understanding reactive stream paradigms and context-aware backpressure management. Developers must map traditional imperative concurrency logic to composable operators to avoid complex orchestration bottlenecks.