go-concurrency-safe

Enforce safe goroutine, channel, and synchronization patterns in Go programs.

Updated Jan 8, 2026

Search Tags:#concurrency #patterns #go #goroutines #channel #mutex #race-conditions

Ready to run

npx skills add https://github.com/OlegHQ/claude-config --skill go-concurrency-safe

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: go-concurrency-safe
Source: https://github.com/OlegHQ/claude-config/tree/main/go-skills-plugin/skills/go-concurrency-safe
Command: npx skills add https://github.com/OlegHQ/claude-config --skill go-concurrency-safe

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Go concurrency often leads to leaks, races, and deadlocks; this skill documents proven patterns to make concurrent Go code safe and maintainable.

Core Features & Use Cases

Learn and apply patterns for proper goroutine lifecycle, channel usage, mutexes, and worker pools.
Use cases include building concurrent workers, safe data sharing, and race-free pipelines.

Quick Start

Refactor current Go code to ensure proper goroutine lifecycle, avoid leaks, and eliminate race conditions.

Frequently Asked Questions about go-concurrency-safe

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I fix race conditions in Go programs using goroutines and shared state?▼

Fix race conditions in Go by applying safe patterns for goroutines, channels, and mutexes to enforce race-free behavior and predictable shutdown of shared state. This eliminates concurrency bugs through proper synchronization and bounded buffers.

What is the best way to prevent goroutine leaks and deadlocks in Go worker pools?▼

Prevent goroutine leaks and deadlocks in Go worker pools by enforcing clear lifecycle management, explicit cancellation, and single reader per channel patterns. This ensures robust concurrent processing without resource exhaustion.

How do I implement safe data sharing across Go channels without causing races?▼

Implement safe data sharing across Go channels by enforcing single reader per channel constraints, bounded buffers, and robust mutex usage. This guarantees race-free pipelines and predictable concurrent execution.

When do I need explicit cancellation and bounded buffers for Go concurrency?▼

You need explicit cancellation and bounded buffers for Go concurrency when building worker pools or shared state pipelines that require predictable shutdown and race-free behavior under load. This prevents memory leaks and data races.

Can I use standard Go mutexes to eliminate race conditions in concurrent pipelines?▼

Yes, you can eliminate race conditions in concurrent pipelines by applying robust mutex usage patterns combined with clear lifecycle management for goroutines. This ensures safe synchronization across shared state.