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golang

Build Go microservices with goroutines, channels, and gRPC.

1|Updated Mar 26, 2026
Search Tags:#performance#microservices#concurrency#go#profiling#gRPC
One-click install
npx skills add https://github.com/jdiegosierra/enterprise-agent-plugins --skill golang-jdiegosierra
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: golang
Source: https://github.com/jdiegosierra/enterprise-agent-plugins/tree/main/plugins/acme-engineering/src/skills/golang
Command: npx skills add https://github.com/jdiegosierra/enterprise-agent-plugins --skill golang-jdiegosierra

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pprof, grpc-go, golangci-lint, mockgen, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Developers need efficient tools and practices to create reliable, high-performance microservices and systems in Go.

Core Features & Use Cases

  • Concurrent Programming: Design scalable systems utilizing goroutines, channels, and synchronization primitives.
  • Service Development: Implement microservices with gRPC, REST, and error handling best practices.
  • Use Case: Build a microservice that handles thousands of client requests per second with optimized memory and error management.

Quick Start

Use the Go skills to create a microservice that manages user sessions, utilizing goroutines for concurrency and channels for communication.

Frequently Asked Questions about golang

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

FAQPage Schema
How do I build high-performance microservices in Go that handle thousands of concurrent requests?▼

Building high-performance Go microservices requires utilizing goroutines for concurrency and channels for communication. This allows your service to handle thousands of client requests per second with optimized memory and error management.

What is the best way to implement concurrency in Go for scalable cloud-native applications?▼

The best way to implement concurrency in Go for scalable cloud-native applications is by designing systems with goroutines, channels, and synchronization primitives. This idiomatic pattern ensures proper error handling and efficient memory management.

How does profiling with pprof improve Go application performance in production?▼

Profiling with pprof improves Go application performance by identifying memory and CPU bottlenecks in concurrent systems. It ensures your microservices meet production standards through proper testing and optimized resource utilization.

Can I use gRPC and REST together when developing microservices in Go?▼

Yes, you can develop microservices in Go using both gRPC and REST. This allows for flexible service communication while maintaining proper error handling best practices and high-performance concurrent processing.

Do I need golangci-lint and mockgen to ensure proper testing for Go microservices?▼

Yes, utilizing golangci-lint for linting and mockgen for mocking dependencies ensures proper testing and code quality for Go microservices. These tools help meet production standards by verifying error handling and concurrent logic.

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