go-concurrency-patterns

Implement Go concurrency patterns using goroutines, channels, and errgroup.

Updated Aug 23, 2026

Search Tags:#context #concurrency #patterns #go #channels #goroutines #errgroup

Ready to run

npx skills add https://github.com/TriNgo0108/z-command --skill go-concurrency-patterns-tringo0108

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: go-concurrency-patterns
Source: https://github.com/TriNgo0108/z-command/tree/main/templates/skills/go-concurrency-patterns
Command: npx skills add https://github.com/TriNgo0108/z-command --skill go-concurrency-patterns-tringo0108

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires golang.org/x/sync/semaphore, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides practical, production-ready patterns for building robust and efficient concurrent applications in Go, addressing common challenges like race conditions, deadlocks, and resource management.

Core Features & Use Cases

Concurrency Primitives: Demonstrates effective use of goroutines, channels, sync.Mutex, sync.WaitGroup, and context.Context.
Design Patterns: Implements worker pools, fan-out/fan-in pipelines, rate limiting with semaphores, and graceful shutdown mechanisms.
Error Handling: Shows how to manage errors in concurrent operations using errgroup.
Use Case: When developing a high-throughput web service that needs to process multiple requests concurrently, this Skill offers proven patterns for managing goroutines, handling requests, and ensuring graceful shutdown.

Quick Start

Implement a worker pool in Go using goroutines and channels to process a list of jobs concurrently.

Frequently Asked Questions about go-concurrency-patterns

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

FAQPage Schema

How do I implement a worker pool in Go using goroutines and channels?▼

To implement a worker pool in Go, you use goroutines for concurrent execution and channels to distribute and collect jobs. This pattern manages concurrent task processing while preventing resource exhaustion in high-throughput services.

What is the best way to handle errors in concurrent Go operations?▼

The best way to handle errors in concurrent Go operations is using `errgroup`. It manages multiple goroutines, propagating the first encountered error to synchronize concurrent execution and ensure safe error handling.

How does context management work for graceful shutdown in Go microservices?▼

Context management for graceful shutdown uses `context.Context` to propagate cancellation signals. This mechanism stops active goroutines safely during shutdown, preventing data loss and ensuring clean resource release.

How do I build a fan-out fan-in pipeline in Go for concurrent data processing?▼

Building a fan-out/fan-in pipeline in Go involves distributing work across multiple goroutines and merging results through channels. This pattern maximizes throughput by parallelizing data processing stages.

How do I use a semaphore for rate limiting in Go concurrent applications?▼

Rate limiting in Go concurrent applications uses `golang.org/x/sync/semaphore` to restrict active goroutines. This controls resource utilization, preventing system overload during peak traffic in backend systems.

When do I need synchronization primitives like sync.Mutex in Go?▼

You need synchronization primitives like `sync.Mutex` and `sync.WaitGroup` when managing shared state across goroutines. They prevent race conditions and coordinate concurrent execution safely within your application.