Does it support bounded concurrency to prevent resource exhaustion?

Yes, it provides implementations for semaphores and bounded worker pools to ensure your application doesn't spawn an uncontrolled number of goroutines.

Can I use this for building web servers and APIs?

Absolutely. It includes patterns for graceful shutdown and request-scoped context management, which are essential for building production-ready Go-based APIs.

How does this skill help prevent race conditions in Go?

It provides patterns that emphasize the Go mantra of 'sharing memory by communicating' via channels and properly utilizing sync.Mutex or sync.RWMutex when shared state is necessary.

How are errors handled across multiple goroutines?

The skill includes patterns for using the golang.org/x/sync/errgroup package, which allows a group of subtasks to be cancelled as soon as any one of them returns an error.

Go Concurrency Patterns

Name: Go Concurrency Patterns
Author: as4584

byas4584

API Development

Implements production-grade Go concurrency models including worker pools, pipelines, and safe state management using goroutines and channels.

About

This skill equips Claude with advanced patterns for handling asynchronous operations in Go. It provides structured guidance on implementing worker pools, managing goroutine lifecycles via Context, orchestrating fan-out/fan-in pipelines, and handling graceful shutdowns. By adhering to the 'share memory by communicating' mantra, it helps developers build scalable, race-condition-free applications while leveraging built-in synchronization primitives like Mutexes, WaitGroups, and Semaphores to ensure robust system behavior.

Key Features

Fan-out/Fan-in pipeline orchestration
Worker pool and job processing implementations
Race condition prevention using sync primitives and channels
Bounded concurrency management with semaphores and ErrorGroups
0 GitHub stars
Context-aware cancellation and graceful shutdown logic

Use Cases

Building high-performance backend services and microservices
Orchestrating complex data processing pipelines
Debugging and fixing race conditions in concurrent applications

About

Key Features

Fan-out/Fan-in pipeline orchestration
Worker pool and job processing implementations
Race condition prevention using sync primitives and channels
Bounded concurrency management with semaphores and ErrorGroups
0 GitHub stars
Context-aware cancellation and graceful shutdown logic

Use Cases

Building high-performance backend services and microservices
Orchestrating complex data processing pipelines
Debugging and fixing race conditions in concurrent applications