Does it support complex pipeline architectures?

Absolutely. It features specific patterns for Fan-Out/Fan-In and bounded concurrency using semaphores to manage complex data flows and resource limits.

What are the main Go concurrency primitives covered?

This skill covers goroutines, channels, the select statement, sync.Mutex, sync.WaitGroup, and context.Context for cancellation and deadline management.

Can this skill help with graceful shutdowns in Go?

Yes, it includes implementation patterns for handling OS signals and coordinating with context cancellation to ensure all goroutines complete their work before the process exits.

How does this help with Go race conditions?

It provides patterns for safe memory access using communication-based concurrency (channels) and synchronization primitives (mutexes and sharded maps) to ensure thread safety.

Is errgroup supported for error handling?

Yes, the skill includes patterns for using the golang.org/x/sync/errgroup package to manage groups of subtasks that need to return errors and cancel the group on failure.

Go Concurrency Patterns

Name: Go Concurrency Patterns
Author: pur3v4d3r

bypur3v4d3r

•

API開発

Implements production-grade Go concurrency patterns including worker pools, fan-out/fan-in pipelines, and robust context management.

概要

This skill equips Claude with the expertise to design and implement highly efficient concurrent Go applications using idiomatic patterns. It covers the full spectrum of Go's concurrency primitives—from basic goroutines and channels to advanced synchronization with wait groups, errgroups, and semaphores—while emphasizing the core philosophy of sharing memory by communicating. It is an essential resource for developers looking to build scalable backend systems, manage complex worker lifecycles, and eliminate race conditions in production codebases.

主な機能

Utilizes advanced synchronization with errgroup and semaphores
Implements scalable Worker Pool and Pipeline patterns
Manages lifecycle control with Context and Graceful Shutdown
Provides thread-safe data structures like Sharded Maps
1 GitHub stars
Offers best practices for preventing and debugging race conditions

ユースケース

Implementing resource-aware workers with rate limiting and timeouts
Building high-performance API backends and microservices
Processing large data sets using fan-out/fan-in pipelines

概要

主な機能

Utilizes advanced synchronization with errgroup and semaphores
Implements scalable Worker Pool and Pipeline patterns
Manages lifecycle control with Context and Graceful Shutdown
Provides thread-safe data structures like Sharded Maps
1 GitHub stars
Offers best practices for preventing and debugging race conditions

ユースケース

Implementing resource-aware workers with rate limiting and timeouts
Building high-performance API backends and microservices
Processing large data sets using fan-out/fan-in pipelines