concurrent-skill

Implement goroutine-safe wrappers, queues, and errgroup parallelism in Go.

Updated Jan 24, 2026
One-click install
npx skills add https://github.com/Penitence1992/go-zero-backend-skills --skill concurrent-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: concurrent-skill
Source: https://github.com/Penitence1992/go-zero-backend-skills/tree/main/skills/concurrent-skill
Command: npx skills add https://github.com/Penitence1992/go-zero-backend-skills --skill concurrent-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Go applications often struggle with safe and scalable concurrency. This Skill provides patterns and code samples to help you implement goroutine-safe wrappers, fixed and dynamic memory queues, queue groups, and parallel execution with errgroup.

Core Features & Use Cases

  • Goroutine-safe wrappers to protect critical sections and recover from panics.
  • Efficient fixed-size and dynamic task queues with worker pools.
  • Queue group management and errgroup-based parallel queries for scalable workloads.
  • Real-world use cases include high-throughput HTTP handlers, data processing pipelines, and background task orchestration.

Quick Start

  1. Review the sample implementations in the Skill documentation and adapt the patterns to your Go project.
  2. Integrate a goroutine-safe wrapper for critical sections, implement a fixed or dynamic task queue, and use errgroup to orchestrate concurrent operations.
  3. Run go mod tidy and fetch required dependencies such as golang.org/x/sync/errgroup to enable parallel workflows.

Frequently Asked Questions about concurrent-skill

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

FAQPage Schema
How do I manage high-concurrency patterns safely in Go?

To manage high-concurrency patterns in Go, use goroutine-safe wrappers, fixed and dynamic memory queues, and errgroup-based parallel processing. These primitives protect critical sections, recover from panics, and orchestrate scalable workloads.

What's the best way to process parallel queries in Go without crashing from panics?

Processing parallel queries in Go without crashing requires errgroup-based orchestration combined with goroutine-safe wrappers. These wrappers protect critical sections and automatically recover from panics to ensure predictable concurrent execution.

How do I implement a fixed-size task queue with worker pools in Go?

Implementing a fixed-size task queue in Go involves creating a worker pool that processes tasks from a bounded channel. This Skill provides patterns to establish predictable queue behavior and efficient task pooling.

Can I use errgroup to orchestrate concurrent HTTP handlers in a Go application?

Yes, you can use errgroup to orchestrate concurrent HTTP handlers in a Go application. It applies errgroup-based parallel processing to high-throughput HTTP handlers, ensuring safe concurrent execution and scalable workloads.

Do I need external dependencies to run concurrent task pools and queue groups?

Yes, managing concurrent task pools and queue groups requires fetching dependencies such as golang.org/x/sync/errgroup. You must run go mod tidy to enable parallel workflows and integrate standard Go primitives.