How does it handle error management in concurrent tasks?

The skill utilizes the golang.org/x/sync/errgroup pattern, allowing you to manage multiple goroutines and return the first error encountered while canceling the remaining tasks.

Does it include patterns for scaling worker processes?

Absolutely. It includes production-ready code for worker pools and bounded concurrency using semaphores to prevent resource exhaustion.

Is graceful shutdown supported?

Yes, it includes patterns for signal handling and context-aware cancellation to ensure that all goroutines finish their work or clean up before the application exits.

Can this skill help me prevent race conditions?

Yes, it provides patterns using sync.Mutex, sync.RWMutex, and atomic operations, along with channel-based patterns that eliminate common data race scenarios.

What is the core philosophy of Go concurrency used in this skill?

This skill follows the Go mantra: 'Don't communicate by sharing memory; share memory by communicating.' It prioritizes channels for synchronization over shared state whenever possible.

Go Concurrency Patterns

Name: Go Concurrency Patterns
Author: GaitanS

byGaitanS

API開発

Implements production-grade Go concurrency patterns including worker pools, pipelines, and synchronization primitives.

概要

Master Go's unique concurrency model with a comprehensive library of implementation patterns for goroutines, channels, and the sync package. This skill provides structured guidance for building high-performance, thread-safe applications by implementing proven architectural patterns like worker pools, fan-out/fan-in pipelines, and bounded concurrency. It specifically addresses common challenges in Go development, such as managing context lifecycles, implementing graceful shutdowns, and preventing race conditions through idiomatic communication strategies.

主な機能

Standardized worker pool and pipeline implementation patterns
Synchronization primitives for thread-safe data access
Graceful shutdown and signal handling for production services
0 GitHub stars
Error group management with concurrent execution limits
Advanced context management for timeouts and cancellation

ユースケース

Managing resource-constrained worker pools for backend tasks
Building high-throughput data processing pipelines
Debugging and resolving race conditions in concurrent Go applications

概要

主な機能

Standardized worker pool and pipeline implementation patterns
Synchronization primitives for thread-safe data access
Graceful shutdown and signal handling for production services
0 GitHub stars
Error group management with concurrent execution limits
Advanced context management for timeouts and cancellation

ユースケース

Managing resource-constrained worker pools for backend tasks
Building high-throughput data processing pipelines
Debugging and resolving race conditions in concurrent Go applications