go-concurrency-patterns

Implement Go concurrency patterns with worker pools and graceful shutdown.

2|2|Updated Jan 21, 2026

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

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npx skills add https://github.com/NorkzYT/claude-code-autopilot --skill go-concurrency-patterns-norkzyt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: go-concurrency-patterns
Source: https://github.com/NorkzYT/claude-code-autopilot/tree/main/.claude/skills/go-concurrency-patterns
Command: npx skills add https://github.com/NorkzYT/claude-code-autopilot --skill go-concurrency-patterns-norkzyt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps Go developers implement reliable, scalable concurrency by teaching reusable patterns for worker pools, fan-out/fan-in pipelines, bounded concurrency, and graceful shutdown, reducing race conditions and synchronization bugs.

Core Features & Use Cases

Worker Pool pattern for safe parallel task processing.
Fan-Out/Fan-In pipelines for streaming and parallel data processing.
Bounded concurrency with semaphores to limit resource usage.
Graceful shutdown and cancellation using context.

Quick Start

Study the provided Go concurrency patterns and implement a simple worker pool example to observe concurrent execution and safe cancellation.

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 process tasks concurrently?▼

A worker pool in Go processes tasks concurrently by spawning a fixed number of goroutines that consume jobs from a channel. This pattern ensures safe parallel task processing and limits resource usage.

What is the best way to build a fan-out/fan-in pipeline for parallel data processing in Go?▼

A fan-out/fan-in pipeline in Go distributes data across multiple goroutines for parallel processing and merges the results back into a single channel. This pattern streamlines streaming and concurrent data processing.

How does context work for graceful shutdown of goroutines in Go?▼

Context enables graceful shutdown in Go by propagating cancellation signals across goroutines. It coordinates safe termination during concurrent operations, ensuring services and CLIs exit cleanly without synchronization bugs.

When do I need bounded concurrency with semaphores in Go?▼

You need bounded concurrency with semaphores in Go when managing massive parallel operations that risk exhausting system resources. This pattern limits active goroutines to prevent resource exhaustion and ensure stable execution.

How do I prevent race conditions when coordinating goroutines and channels?▼

Prevent race conditions in Go by applying established concurrency patterns with sync primitives and channels. Coordinating goroutines with worker pools and context ensures safe synchronization and reduces bugs.