How does this skill help with race conditions?

It provides standardized patterns for protecting shared state using sync.Mutex and sync.RWMutex, along with best practices for choosing between channel-based communication and memory locking.

Does it cover the Context package?

Yes, the skill includes comprehensive patterns for using the context package for cancellation, deadlines, and passing request-scoped values across concurrent boundaries.

Is it suitable for building worker pools?

Absolutely, it features a production-ready worker pool pattern for distributing tasks across multiple concurrent workers to optimize resource utilization.

Can it help prevent goroutine leaks?

Yes, the skill includes specific implementation details for proper cleanup, using context cancellation, and ensuring WaitGroups are correctly managed so all goroutines exit predictably.

Go Concurrency Patterns

Name: Go Concurrency Patterns
Author: TheBushidoCollective

byTheBushidoCollective

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API Development

Implements high-performance Go concurrency models using goroutines, channels, and advanced synchronization patterns.

About

Go Concurrency Patterns provides a comprehensive set of domain-specific implementation guides for building scalable and efficient Go applications. It empowers developers to master goroutines, manage communication through channels, and handle complex synchronization with mutexes, WaitGroups, and the Context package. Whether you are building high-throughput backend services, worker pools, or data pipelines using fan-out/fan-in patterns, this skill ensures best practices are followed to prevent common pitfalls like deadlocks, race conditions, and goroutine leaks.

Key Features

Advanced synchronization using sync.Mutex, sync.WaitGroup, and sync.Once
39 GitHub stars
Context-aware cancellation and timeout management
Robust error handling in concurrent environments using errgroup
Implementation of goroutines and channel communication patterns
High-concurrency patterns including worker pools and fan-out/fan-in

Use Cases

Building high-throughput, concurrent backend API services
Implementing complex I/O multiplexing with select statements and timeouts
Processing large streams of data using parallel worker pools

About

Key Features

Advanced synchronization using sync.Mutex, sync.WaitGroup, and sync.Once
39 GitHub stars
Context-aware cancellation and timeout management
Robust error handling in concurrent environments using errgroup
Implementation of goroutines and channel communication patterns
High-concurrency patterns including worker pools and fan-out/fan-in

Use Cases

Building high-throughput, concurrent backend API services
Implementing complex I/O multiplexing with select statements and timeouts
Processing large streams of data using parallel worker pools