go-concurrency

Implement Go concurrency patterns with goroutines, channels, and sync primitives.

11|4|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/wpank/ai --skill go-concurrency-wpank
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: go-concurrency
Source: https://github.com/wpank/ai/tree/main/skills/backend/go-concurrency
Command: npx skills add https://github.com/wpank/ai --skill go-concurrency-wpank

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides robust solutions for building efficient and reliable concurrent Go applications, helping developers avoid common pitfalls like race conditions and deadlocks.

Core Features & Use Cases

  • Concurrency Primitives: Deep dives into goroutines, channels, sync.Mutex, sync.WaitGroup, and context.Context.
  • Advanced Patterns: Implements worker pools, fan-out/fan-in pipelines, and graceful shutdown mechanisms.
  • Use Case: Optimize a web server to handle thousands of requests simultaneously by implementing a worker pool that efficiently manages goroutines and uses channels for communication.

Quick Start

Use the go-concurrency skill to implement a worker pool for processing a batch of jobs.

Frequently Asked Questions about go-concurrency

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

FAQPage Schema
How do I implement a worker pool in Go to handle thousands of concurrent requests?

Use goroutines and channels to build a worker pool in Go that processes concurrent requests. This pattern manages goroutine lifecycles and uses channels for communication, enabling a web server to handle thousands of simultaneous requests efficiently.

What is the best way to avoid race conditions and deadlocks in Go concurrency?

Prevent race conditions and deadlocks in Go concurrency by applying sync primitives like sync.Mutex and sync.WaitGroup. Managing goroutine lifecycles and channel communication properly ensures reliable concurrent applications without these common pitfalls.

How do I build a fan-out fan-in pipeline for parallel processing in Go?

Construct a fan-out/fan-in pipeline in Go by distributing work across multiple goroutines and collecting results via channels. This pattern implements efficient parallel processing for fault-tolerant concurrent systems.

How does context.Context work for managing goroutine lifecycles and graceful shutdown?

The context.Context package manages goroutine lifecycles in Go by propagating cancellation signals and timeouts. It enables graceful shutdown mechanisms, ensuring goroutines terminate cleanly and avoid leaks during concurrent processing.

When should I use channels versus sync primitives in Go concurrent applications?

Use channels in Go for communication and synchronization between goroutines, such as in pipelines or worker pools. Use sync primitives like sync.Mutex or sync.WaitGroup when protecting shared memory or coordinating independent concurrent tasks without passing data.