Is the skill compatible with standard Go libraries?

Yes, it focuses on Go standard library primitives and industry-standard extensions like golang.org/x/sync for advanced synchronization.

Can I implement worker pools using this skill?

Yes, it provides standardized patterns for creating worker pools that efficiently distribute tasks across multiple goroutines while managing result collection.

Does it support context-aware cancellation?

Absolutely. All patterns emphasize the use of context.Context to handle timeouts, deadlines, and cascading cancellations across goroutine hierarchies.

How does this skill help with Go race conditions?

It provides implementation patterns for sync.Mutex, sync.RWMutex, and channel-based communication to ensure thread-safe operations and eliminate data races.

Go Concurrency Patterns

Name: Go Concurrency Patterns
Author: drgaciw

bydrgaciw

API Development

Implements production-ready Go concurrency patterns including worker pools, pipelines, and safe state management.

About

This skill equips Claude with the expertise to architect, implement, and debug highly concurrent Go applications. It provides domain-specific guidance on goroutines, channels, and synchronization primitives while enforcing the 'share memory by communicating' mantra. Users can leverage this skill to build robust worker pools, complex fan-out/fan-in pipelines, and context-aware services that handle graceful shutdowns and error propagation effectively.

Key Features

Graceful shutdown patterns for long-running services
Advanced error handling in concurrent environments using errgroup
Race condition debugging and prevention using sync primitives
Implementation of scalable worker pools and data processing pipelines
0 GitHub stars
Context management for cancellation, timeouts, and deadlines

Use Cases

Implementing rate-limited concurrent API clients and crawlers
Building high-throughput data processing pipelines
Managing lifecycle and cancellation of background goroutines

About

Key Features

Graceful shutdown patterns for long-running services
Advanced error handling in concurrent environments using errgroup
Race condition debugging and prevention using sync primitives
Implementation of scalable worker pools and data processing pipelines
0 GitHub stars
Context management for cancellation, timeouts, and deadlines

Use Cases

Implementing rate-limited concurrent API clients and crawlers
Building high-throughput data processing pipelines
Managing lifecycle and cancellation of background goroutines