
Go Concurrency Patterns
FreeMaster Go concurrency with proven patterns and practices.
Free · Opens the source repo
What Go Concurrency Patterns does
Go Concurrency Patterns provides a comprehensive guide to mastering concurrency in Go programming. It covers essential concurrency primitives such as goroutines, channels, and synchronization mechanisms, allowing developers to build efficient and responsive applications. This skill is particularly useful for anyone looking to implement worker pools, manage goroutine lifecycles, and debug race conditions effectively.
The skill emphasizes the importance of using channels for communication between goroutines and provides best practices for managing concurrency. With a focus on the mantra, "Don't communicate by sharing memory; share memory by communicating," users will learn to structure their applications to avoid common pitfalls associated with concurrent programming. The included code examples demonstrate practical implementations of these concepts, helping users to quickly grasp and apply them in their own projects.
For those working on concurrent Go applications, this skill serves as a vital resource. It not only outlines the core concepts but also provides detailed patterns and worked examples, ensuring that users have access to the knowledge they need to implement concurrency effectively. Whether you are a beginner or an experienced developer, this skill will enhance your understanding of Go's concurrency model and improve your coding practices.
When to use it
Use this skill when developing concurrent Go applications, especially when implementing worker pools or debugging race conditions.
When not to use it
This skill may not be suitable for single-threaded applications or when concurrency is not a requirement.
What you can build with it
Building a Worker Pool
Implement a worker pool to process tasks concurrently, utilizing goroutines and channels for efficient task management.
Debugging Race Conditions
Use the provided patterns to identify and resolve race conditions in your Go applications, ensuring data integrity.
Implementing Graceful Shutdown
Learn how to manage goroutine lifecycles and implement graceful shutdowns in your applications using context.
How to install Go Concurrency Patterns
View source1. Install with the skills CLI
npx skills add wshobson/agents/go-concurrency-patterns --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by wshobsonGo Concurrency Patterns
Production patterns for Go concurrency including goroutines, channels, synchronization primitives, and context management.
When to Use This Skill
- Building concurrent Go applications
- Implementing worker pools and pipelines
- Managing goroutine lifecycles
- Using channels for communication
- Debugging race conditions
- Implementing graceful shutdown
Core Concepts
1. Go Concurrency Primitives
| Primitive | Purpose |
|---|---|
goroutine | Lightweight concurrent execution |
channel | Communication between goroutines |
select | Multiplex channel operations |
sync.Mutex | Mutual exclusion |
sync.WaitGroup | Wait for goroutines to complete |
context.Context | Cancellation and deadlines |
2. Go Concurrency Mantra
Don't communicate by sharing memory;
share memory by communicating.
Quick Start
package main
import (
"context"
"fmt"
"sync"
"time"
)
func main() {
ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
defer cancel()
results := make(chan string, 10)
var wg sync.WaitGroup
// Spawn workers
for i := 0; i < 3; i++ {
wg.Add(1)
go worker(ctx, i, results, &wg)
}
// Close results when done
go func() {
wg.Wait()
close(results)
}()
// Collect results
for result := range results {
fmt.Println(result)
}
}
func worker(ctx context.Context, id int, results chan<- string, wg *sync.WaitGroup) {
defer wg.Done()
select {
case <-ctx.Done():
return
case results <- fmt.Sprintf("Worker %d done", id):
}
}
Detailed patterns and worked examples
Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.
Best Practices
Do's
- Use context - For cancellation and deadlines
- Close channels - From sender side only
- Use errgroup - For concurrent operations with errors
- Buffer channels - When you know the count
- Prefer channels - Over mutexes when possible
Don'ts
- Don't leak goroutines - Always have exit path
- Don't close from receiver - Causes panic
- Don't use shared memory - Unless necessary
- Don't ignore context cancellation - Check ctx.Done()
- Don't use time.Sleep for sync - Use proper primitives
Frequently asked questions about Go Concurrency Patterns
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