Does this skill help prevent memory leaks in Go?

Yes, it includes specific patterns for providing explicit exit paths and using context for cancellation to prevent goroutine leaks.

How does it handle errors in concurrent tasks?

It utilizes the errgroup pattern to manage multiple goroutines and capture the first error encountered during parallel execution.

Can it handle complex state synchronization?

Absolutely, it covers the implementation of sync.WaitGroup, sync.Mutex, sync.RWMutex, and sync.Once for robust state management.

Does it support the Pipeline pattern for data processing?

Yes, it provides implementation templates for generator, square, and other transformation stages in Go-based data pipelines.

Go Concurrency Patterns

Name: Go Concurrency Patterns
Author: IvanTorresEdge

byIvanTorresEdge

API 개발

Implements efficient Go concurrency models using goroutines, channels, and synchronization primitives.

소개

The Go Concurrency Patterns skill empowers Claude to architect and implement high-performance concurrent systems in Golang. It provides structured guidance on managing goroutine lifecycles, utilizing channels for communication, and applying synchronization primitives like WaitGroups and Mutexes. By incorporating best practices for fan-out/fan-in, worker pools, and error handling with errgroup, this skill ensures the creation of robust, race-free, and leak-proof concurrent code for modern backend applications and cloud infrastructure.

주요 기능

Advanced channel patterns including Fan-Out, Fan-In, and Pipelines
0 GitHub stars
Context-aware cancellation and timeout handling via context.Context
Thread-safe synchronization using Mutexes, RWMutexes, and WaitGroups
Standardized goroutine management and lifecycle control
Best practices for avoiding common pitfalls like goroutine leaks and race conditions

사용 사례

Implementing complex data processing pipelines with multiple concurrent stages
Designing thread-safe caches and shared state management for high-concurrency environments
Building high-throughput worker pools for asynchronous background task processing

소개

주요 기능

Advanced channel patterns including Fan-Out, Fan-In, and Pipelines
0 GitHub stars
Context-aware cancellation and timeout handling via context.Context
Thread-safe synchronization using Mutexes, RWMutexes, and WaitGroups
Standardized goroutine management and lifecycle control
Best practices for avoiding common pitfalls like goroutine leaks and race conditions

사용 사례

Implementing complex data processing pipelines with multiple concurrent stages
Designing thread-safe caches and shared state management for high-concurrency environments
Building high-throughput worker pools for asynchronous background task processing