go-concurrency-patterns

Implement Go worker pools, fan-out/fan-in, and graceful shutdown with context.

7|Updated Feb 2, 2026

Search Tags:#context #synchronization #concurrency #go #channels #goroutines #worker-pool

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npx skills add https://github.com/masteryyh/agenty --skill go-concurrency-patterns-masteryyh

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: go-concurrency-patterns
Source: https://github.com/masteryyh/agenty/tree/main/.agents/skills/go-concurrency-patterns
Command: npx skills add https://github.com/masteryyh/agenty --skill go-concurrency-patterns-masteryyh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Go developers often struggle with designing safe and scalable concurrency patterns. This Skill provides repeatable patterns and best practices to manage goroutines, channels, and context for robust software.

Core Features & Use Cases

Worker Pool: manage a fixed set of workers to process jobs concurrently.
Fan-Out/Fan-In: parallelize work and merge results safely.
Graceful Shutdown: clean termination of goroutines using context cancellation.
Real-world use cases include high-throughput servers, background tasks, and data processing pipelines.

Quick Start

Run a small Go program that creates a 3-worker pool, enqueues several jobs, and prints results to demonstrate cancellation and graceful shutdown.

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 limit concurrent goroutines?▼

A Go worker pool limits concurrent goroutines by managing a fixed set of workers that process jobs from a channel. This pattern prevents resource exhaustion and ensures controlled concurrency for high-throughput tasks.

What is the best way to gracefully shutdown goroutines using context cancellation?▼

Graceful shutdown in Go uses context cancellation to signal goroutines to stop processing and clean up. This ensures clean termination and proper lifecycle management when your application receives an interrupt signal.

How does fan-out fan-in concurrency work with Go channels?▼

Fan-out fan-in concurrency in Go parallelizes work across multiple goroutines and safely merges results back into a single channel. This pattern maximizes throughput for data processing pipelines by distributing and collecting results concurrently.

When do I need synchronization primitives versus channels for Go concurrency?▼

Synchronization primitives like mutexes protect shared state, while Go channels facilitate communication and bounded concurrency between goroutines. You need synchronization for direct memory access, but channels for coordinating worker pools and pipelines.

Can I use Go concurrency patterns for background tasks in high-throughput servers?▼

Yes, Go concurrency patterns are designed for high-throughput servers and background tasks. Using worker pools and context cancellation ensures your server handles concurrent requests efficiently while maintaining safe and scalable resource management.

Why does my Go pipeline experience goroutine leaks during shutdown?▼

Goroutine leaks in Go pipelines occur when workers are not properly signaled to exit. Implementing bounded concurrency with context cancellation ensures all goroutines terminate cleanly during graceful shutdown, preventing resource leaks.