Can I implement a worker pool with this skill?

Yes, it includes optimized worker pool patterns that handle task distribution, worker lifecycle management, and result collection with context support.

How does this skill help avoid Go race conditions?

It provides standardized patterns for synchronization using Mutexes, atomic operations, and the core 'share memory by communicating' philosophy using channels.

What is the benefit of the Fan-out/Fan-in pattern provided?

The Fan-out/Fan-in pattern allows you to parallelize CPU-intensive or I/O-bound tasks across multiple workers and then merge the results back into a single stream for downstream processing.

Does it support the Go Context package?

Absolutely. All patterns are designed to be context-aware, ensuring that cancellation signals and deadlines propagate correctly through your goroutine tree.

Go Concurrency Patterns

Name: Go Concurrency Patterns
Author: nguyendinhquocx

bynguyendinhquocx

0•

API開発

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

This skill provides specialized guidance for building high-performance, concurrent Go applications. It covers the full spectrum of Go's concurrency model, from basic goroutines and channels to complex patterns like fan-out/fan-in, bounded concurrency with semaphores, and graceful shutdown orchestration. By following these industry-standard patterns, developers can ensure thread safety, prevent race conditions, and manage resource lifecycles effectively in distributed systems and microservices.

主な機能

01Production-ready worker pool and pipeline implementations

02Standardized graceful shutdown patterns for concurrent services

03Context-driven cancellation and timeout management

04Thread-safe data handling with sharded and sync maps

050 GitHub stars

06Bounded concurrency control using sync/errgroup and semaphores

ユースケース

01Managing complex microservice lifecycles and resource cleanup

02Building high-throughput data processing and ETL pipelines

03Optimizing backend API performance through parallel task execution

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nguyendinhquocx/code-ai go-concurrency-patterns

For use in Claude.ai and ChatGPT

主な機能

01Production-ready worker pool and pipeline implementations

02Standardized graceful shutdown patterns for concurrent services

03Context-driven cancellation and timeout management

04Thread-safe data handling with sharded and sync maps

050 GitHub stars

06Bounded concurrency control using sync/errgroup and semaphores

ユースケース

01Managing complex microservice lifecycles and resource cleanup

02Building high-throughput data processing and ETL pipelines

03Optimizing backend API performance through parallel task execution

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nguyendinhquocx/code-ai go-concurrency-patterns

For use in Claude.ai and ChatGPT