go-concurrency-patterns

Name: go-concurrency-patterns
Availability: InStock
Author: EngineerWithAI

Provides Go patterns for concurrent application development using goroutines and channels.

4|Updated Jan 10, 2026

Search Tags:#synchronization #concurrency #patterns #go #channels #goroutines

Ready to run

npx skills add https://github.com/EngineerWithAI/engineerwith-agents --skill go-concurrency-patterns-engineerwithai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: go-concurrency-patterns
Source: https://github.com/EngineerWithAI/engineerwith-agents/tree/main/plugins/systems-programming/skills/go-concurrency-patterns
Command: npx skills add https://github.com/EngineerWithAI/engineerwith-agents --skill go-concurrency-patterns-engineerwithai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides practical, production-ready patterns for building efficient and robust concurrent applications in Go, addressing common challenges in multi-goroutine communication and synchronization.

Core Features & Use Cases

Concurrency Primitives: Demonstrates effective use of goroutines, channels, select, sync.Mutex, sync.WaitGroup, and context.Context.
Key Patterns: Includes implementations for Worker Pools, Fan-Out/Fan-In pipelines, Rate Limiting, Graceful Shutdown, Error Groups, and Concurrent Maps.
Use Case: When developing a web service that needs to handle many requests concurrently, you can use the Worker Pool pattern to manage a fixed number of goroutines processing incoming requests, ensuring efficient resource utilization and preventing overload.

Quick Start

Execute the provided Go code examples to understand and implement various concurrency patterns.

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 to handle concurrent requests?▼

Fan-out/fan-in concurrency patterns in Go distribute work across multiple goroutines and merge their results into a single channel. This approach maximizes throughput for pipeline stages by running them concurrently while maintaining synchronized data flow.

How do I handle errors across multiple goroutines in Go?▼

Handling errors across multiple goroutines uses the errgroup package to synchronize concurrent execution and capture the first error. This pattern ensures robust error handling in distributed systems by propagating failures back to the main goroutine for graceful shutdown.

What is the best way to rate limit goroutines in Go?▼

Rate limiting goroutines in Go is best achieved using channels and a ticker to control the frequency of concurrent execution. This pattern prevents resource exhaustion by throttling incoming requests and coordinating synchronization across distributed workloads.

How do I perform a graceful shutdown of concurrent goroutines in Go?▼

Graceful shutdown of concurrent goroutines in Go uses context.Context to signal cancellation and sync.WaitGroup to wait for completion. This pattern ensures all active processes finish safely and prevents data loss during application termination.

Do I need sync.Mutex to manage concurrent map access in Go?▼

You need sync.Mutex to manage concurrent map access in Go when implementing a custom concurrent map for safe multi-goroutine communication. Alternatively, synchronization patterns using channels can coordinate reads and writes to prevent race conditions.