with one click
go-concurrency-patterns
Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.
Menu
Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.
Based on SOC occupation classification
| name | go-concurrency-patterns |
| description | Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions. |
Production patterns for Go concurrency including goroutines, channels, synchronization primitives, and context management.
| 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 |
Don't communicate by sharing memory;
share memory by communicating.
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 pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.
This skill should be used when the user asks to "optimize a prompt", "improve prompt performance", "design a prompt template", "write better prompts", "debug prompt issues", "use chain-of-thought", "structured prompting", "few-shot prompting", or wants to apply advanced prompt engineering patterns for production LLM applications.
Schedule and publish social media posts across 13 platforms (X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, Pinterest) via the SocialClaw API. Use when the user wants to publish, schedule, or manage social media content programmatically. Requires SOCIALCLAW_API_KEY.
Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for accessibility, fixing WCAG violations, or implementing accessible design patterns.
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.