go-samber-ro

Compose reactive data flows with samber/ro observables in Go.

Updated May 2, 2026
One-click install
npx skills add https://github.com/Qunnnn/agents --skill go-samber-ro
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: go-samber-ro
Source: https://github.com/Qunnnn/agents/tree/main/skills/go/go-samber-ro
Command: npx skills add https://github.com/Qunnnn/agents --skill go-samber-ro

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers manage asynchronous data streams in Go by providing patterns for composing, transforming, and coordinating event-driven workflows with samber/ro.

Core Features & Use Cases

  • Reactive Stream Composition: Create and combine observable pipelines with type-safe operators for asynchronous processing.
  • Stream Operations: Apply filtering, mapping, merging, buffering, error handling, and timing controls to event streams.
  • Use Case: Build applications that coordinate multiple asynchronous sources such as database results, API responses, WebSocket messages, or timed events using clean reactive patterns.

Quick Start

Use the go-samber-ro skill to design a type-safe reactive stream pipeline in Go using observables, operators, and subscriptions.

Frequently Asked Questions about go-samber-ro

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

FAQPage Schema
How do I handle asynchronous event streams in Go?

You handle asynchronous event streams in Go by composing reactive data pipelines using observables and type-safe operators. This approach applies filtering, mapping, merging, and buffering to coordinate concurrent workflows like API responses or WebSocket messages.

What is reactive programming in Go using samber/ro?

Reactive programming in Go using samber/ro involves creating observable pipelines that manage asynchronous data flows. Developers use typed operators to transform event streams, handle errors reactively, and coordinate multiple concurrent sources like databases and APIs.

Can I use reactive streams for WebSocket and API coordination in Go?

Yes, you can use reactive streams for WebSocket and API coordination in Go. By merging multiple asynchronous sources into observable pipelines, you can apply buffering and timing controls to manage concurrent event streams effectively.

How do I manage errors in Go observable pipelines?

You manage errors in Go observable pipelines by applying reactive error handling patterns within your stream operations. This ensures asynchronous workflows process failures gracefully during filtering, mapping, and merging operations.

When should I use reactive streams instead of standard goroutines in Go?

Use reactive streams instead of standard goroutines when you need to compose complex asynchronous workflows with type-safe operators. This approach provides structured stream operations for merging, buffering, and coordinating event sources that are difficult to manage with raw goroutines.