go-concurrency-patterns

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

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

Updated Dec 23, 2025

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

Ready to run

npx skills add https://github.com/drgaciw/academic-compliance-hub-glm --skill go-concurrency-patterns-drgaciw

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: go-concurrency-patterns
Source: https://github.com/drgaciw/academic-compliance-hub-glm/tree/main/agents/plugins/systems-programming/skills/go-concurrency-patterns
Command: npx skills add https://github.com/drgaciw/academic-compliance-hub-glm --skill go-concurrency-patterns-drgaciw

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 essential patterns and best practices for writing efficient, scalable, and robust concurrent Go applications, preventing common pitfalls like race conditions and deadlocks.

Core Features & Use Cases

Concurrency Primitives: Demonstrates effective use of goroutines, channels, select, 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.
Use Case: When building a web server that needs to handle many requests concurrently, or a data processing pipeline that requires parallel execution of tasks, this Skill offers proven solutions.

Quick Start

Use the go-concurrency-patterns skill to implement a worker pool that processes 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 to process jobs concurrently?▼

Go concurrency patterns use goroutines and channels to build worker pools for parallel task processing. This approach prevents resource exhaustion by limiting active workers while efficiently distributing incoming jobs across available concurrent processes.

What is the best way to handle errors and cancellations in concurrent Go applications?▼

The best way to handle errors in concurrent Go applications is using the errgroup package with context.Context. This synchronizes goroutines, propagates cancellation signals, and ensures graceful shutdown when a concurrent task fails.

How does fan-out/fan-in pipeline pattern work in Go for data processing?▼

The fan-out/fan-in pipeline in Go distributes data from one channel across multiple goroutines for parallel processing, then merges results into a single output channel. This pattern maximizes throughput for concurrent data pipelines.

How do I use semaphores for rate limiting in Go goroutines?▼

To use semaphores for rate limiting in Go, acquire a weighted token before launching a goroutine to restrict concurrent execution. This limits parallelism, preventing system overload while safely managing concurrent resource access.

When do I need context.Context for managing concurrent tasks in Go?▼

You need context.Context in Go to enforce timeouts and cancellation signals across spawned goroutines. It ensures concurrent tasks initiate graceful shutdown when a parent operation aborts, preventing deadlocked or leaked processes.

How do I prevent race conditions and deadlocks in concurrent Go applications?▼

Prevent race conditions and deadlocks in Go concurrency by using sync.Mutex for safe data access and sync.WaitGroup to coordinate goroutine lifecycles. These synchronization primitives ensure robust concurrent execution without common pitfalls.