Does it support context-aware programming?

Absolutely, it prioritizes the use of context.Context for handling graceful shutdowns, timeouts, and cancellations across concurrent processes.

Can it implement bounded concurrency?

Yes, it includes advanced implementation patterns for worker pools and semaphores to prevent resource exhaustion from unbounded goroutine creation.

How does this skill help with race conditions?

It provides standardized patterns for synchronization using mutexes and demonstrates how to leverage the Go race detector to identify and resolve data races effectively.

What synchronization primitives are covered?

The skill covers the full suite of Go sync primitives including Mutex, RWMutex, WaitGroup, Once, and the extended errgroup package for error management.

Go Concurrency Expert

Name: Go Concurrency Expert
Author: geoffjay

bygeoffjay

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API Development

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

About

This skill empowers Claude to architect and debug complex concurrent systems in Go with production-grade reliability. It provides expert guidance on implementing advanced orchestration patterns like worker pools, pipelines, and fan-out/fan-in strategies while ensuring thread safety through mutexes, wait groups, and atomic operations. Whether you are optimizing parallel processing, managing context-driven cancellations, or resolving difficult race conditions, this skill ensures your Go code is performant, scalable, and follows modern best practices.

Key Features

Expert orchestration of goroutines and channels
Robust error propagation using the errgroup package
Implementation of scalable worker pools and data pipelines
Race condition detection and deadlock prevention strategies
Synchronization management with Mutex, RWMutex, and WaitGroups
2 GitHub stars

Use Cases

Building high-throughput data processing services
Scaling backend APIs with efficient parallel execution
Debugging and refactoring legacy Go code for thread safety

About

Key Features

Expert orchestration of goroutines and channels
Robust error propagation using the errgroup package
Implementation of scalable worker pools and data pipelines
Race condition detection and deadlock prevention strategies
Synchronization management with Mutex, RWMutex, and WaitGroups
2 GitHub stars

Use Cases

Building high-throughput data processing services
Scaling backend APIs with efficient parallel execution
Debugging and refactoring legacy Go code for thread safety