golang-samber-ro

Compose asynchronous data stream pipelines with reactive operators in Go.

Updated Apr 20, 2026
One-click install
npx skills add https://github.com/matdev83/go-llm-interactive-proxy --skill golang-samber-ro-matdev83
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: golang-samber-ro
Source: https://github.com/matdev83/go-llm-interactive-proxy/tree/main/.agents/skills/golang-samber-ro
Command: npx skills add https://github.com/matdev83/go-llm-interactive-proxy --skill golang-samber-ro-matdev83

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies handling asynchronous data streams in Go by providing reactive pipeline capabilities.

Core Features & Use Cases

  • Asynchronous Data Processing: Build declarative pipelines for real-time or infinite streams, such as WebSocket feeds or event logs.
  • Reactive Operators: Use operators like Map, Filter, Merge, Zip, and Error handling to compose complex data workflows.
  • Use Case: Process stock prices in real-time, compute running averages, and handle connectivity errors seamlessly with retry logic.

Quick Start

Use the golang-samber-ro skill to create a pipeline that filters and transforms a stream of integers.

Frequently Asked Questions about golang-samber-ro

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

FAQPage Schema
How do I handle asynchronous data streams in Go for real-time event processing?▼

Handle asynchronous data streams in Go by building declarative reactive pipelines using operators like Map, Filter, and Merge to compose complex real-time workflows for event logs or WebSocket feeds.

What is the best way to manage error propagation in reactive Go pipelines?▼

Manage error propagation in reactive Go pipelines by utilizing built-in error handling operators and retry logic to seamlessly handle connectivity errors during stream processing.

Can I use reactive operators to compute running averages on infinite streams in Go?▼

Yes, you can use reactive operators to process infinite streams in Go, computing running averages on continuous data feeds such as real-time stock prices.

Does the samber/ro library require specific concurrency patterns for stream composition?▼

The samber/ro library leverages existing Go concurrency patterns to support execution control and stream composition without requiring specialized external concurrency frameworks.

How do I filter and transform a stream of integers using reactive pipelines in Go?▼

Filter and transform a stream of integers by creating a declarative pipeline that applies reactive operators to sequentially process and modify the incoming asynchronous data.