golang-pro

Build concurrent Go services with goroutines, channels, and interface-driven architecture.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/jsdfhasuh/emosonic --skill golang-pro-jsdfhasuh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: golang-pro
Source: https://github.com/jsdfhasuh/emosonic/tree/main/.agents/skills/golang-pro
Command: npx skills add https://github.com/jsdfhasuh/emosonic --skill golang-pro-jsdfhasuh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you design and implement reliable, high-performance Go systems by applying proven concurrency patterns, robust interface design, and production-grade testing.

Core Features & Use Cases

  • Concurrent Go implementation: Use goroutines, channels, fan-out/fan-in pipelines, worker pools, and backpressure with correct lifecycle management.
  • Microservices architecture support: Structure services around small interfaces and production practices suitable for gRPC/REST.
  • Production-quality engineering workflow: Apply Go 1.21+ generics, idiomatic patterns, explicit error handling, and thorough testing including race detector checks.

Quick Start

Tell the AI: “Review my Go module for concurrency correctness and propose idiomatic interfaces, generics usage, and a table-driven test plan, then provide improved code and test stubs.”

Frequently Asked Questions about golang-pro

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

FAQPage Schema
How do I manage goroutine lifecycles and prevent leaks in concurrent Go services?

Manage goroutine lifecycles in concurrent Go services by applying context propagation, channel pipelines, and worker pools. This ensures safe parallelism, handles context cancellation properly, and prevents goroutine leaks in production microservices.

What's the best way to structure Go microservices using small interfaces and gRPC?

Structure Go microservices using interface-driven architecture with small, focused interfaces suitable for gRPC and REST endpoints. This approach supports high-performance systems and promotes safe parallelism in production-grade concurrent services.

How do I use Go 1.21+ generics and constraints to build idiomatic high-performance systems?

Use Go 1.21+ generics and constraints to build idiomatic high-performance systems by applying generics-based design alongside explicit error handling with wrapping. This targets production readiness and safe parallelism in concurrent Go services.

How do I write table-driven tests with race detection and benchmarks for Go modules?

Write table-driven tests with race detection and benchmarks for Go modules by following production-quality engineering workflows. This includes running race detector checks and benchmarking to ensure concurrency correctness and safe parallelism in high-performance systems.

How do I implement fan-out/fan-in pipelines and backpressure with channels in Go?

Implement fan-out/fan-in pipelines and backpressure with channels in Go by utilizing goroutine lifecycle management and pipeline patterns. This approach ensures safe parallelism and prevents resource exhaustion in concurrent microservices.

How do I handle context cancellation and explicit error wrapping in Go microservices?

Handle context cancellation and explicit error wrapping in Go microservices by applying idiomatic patterns and production practices. This ensures robust concurrent services with safe parallelism and proper goroutine lifecycle management.