go-concurrency

Name: go-concurrency
Availability: InStock
Author: skeletorflet

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

7|1|Updated Mar 28, 2026

Search Tags:#context #concurrency #go #channels #goroutines #mutex #race-detection

Ready to run

npx skills add https://github.com/skeletorflet/opencode-kit --skill go-concurrency-skeletorflet

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: go-concurrency
Source: https://github.com/skeletorflet/opencode-kit/tree/main/.opencode/skills/go-concurrency
Command: npx skills add https://github.com/skeletorflet/opencode-kit --skill go-concurrency-skeletorflet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Go developers often struggle with writing correct and scalable concurrency in Go, risking deadlocks, race conditions, and hard-to-maintain code. This skill consolidates proven concurrency patterns (goroutines, channels, sync primitives, and context) into reusable guidance. It enables teams to design robust concurrent components with predictable performance.

Core Features & Use Cases

Goroutine lifecycle management with safe cancellation
Channel-based communication patterns and synchronization
Proper use of sync primitives (Mutex, RWMutex, WaitGroup, Once)
Context-aware cancellation and timeouts
Worker pools and parallel pipelines
Debugging tips and race-detection practices

Quick Start

Load and apply these Go concurrency patterns to a small Go service, then run tests with the -race flag.

Frequently Asked Questions about go-concurrency

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

FAQPage Schema

How do I prevent race conditions in Go concurrency patterns?▼

Prevent Go race conditions by applying proper synchronization primitives like Mutex and WaitGroup, then validate your concurrent code by running tests with the `-race` flag to detect data races.

What is the best way to manage goroutine lifecycles and cancellation in Go?▼

Manage goroutine lifecycles in Go by using context-aware cancellation and timeouts. This ensures safe termination of goroutines and prevents leaks when building high-concurrency services or parallel pipelines.

How do I build a worker pool in Go using channels?▼

Build a Go worker pool using channel-based communication patterns for task distribution and synchronization. Combine channels with WaitGroup to coordinate workers and safely collect parallel data processing results.

When should I use Mutex instead of channels for Go concurrency?▼

Use Mutex or RWMutex in Go concurrency when protecting shared state, and use channels for communicating data between goroutines. This skill provides guidance on selecting the right sync primitive to avoid deadlocks.

Can I use context cancellation with parallel data processing pipelines in Go?▼

Yes, you can use context cancellation with parallel data processing pipelines in Go. Applying context-aware timeouts ensures your concurrent pipeline stages shut down cleanly without leaking goroutines during cancellation.

Why does my Go concurrent service deadlock when using channels?▼

Go concurrent services deadlock when channel synchronization is mismanaged or goroutines block on send/receive operations. This skill identifies common concurrency antipatterns and provides safe channel communication patterns.