golang-pro

Design Go concurrency with goroutines, channels, and context propagation for production systems.

Updated Mar 18, 2026
One-click install
npx skills add https://github.com/bpteam/coder --skill golang-pro-bpteam
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: golang-pro
Source: https://github.com/bpteam/coder/tree/main/.opencode/skills/golang-pro
Command: npx skills add https://github.com/bpteam/coder --skill golang-pro-bpteam

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Senior Go developers and teams need reliable, idiomatic concurrency patterns to build scalable, production-grade systems. This skill provides a structured approach to designing, implementing, and validating concurrent Go code with modern features like generics, interfaces, and robust error handling.

Core Features & Use Cases

  • Idiomatic concurrency patterns: goroutine lifecycle management, channel orchestration, and context-aware error handling.
  • Design for microservices: scalable pipelines, testable interfaces, and performance profiling with pprof.
  • Use Case: Build a high-throughput service that processes parallel requests while maintaining safe cancellation and clean shutdown.

Quick Start

Demonstrate a robust worker-pipeline example showing goroutines, channels, and context management.

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 context cancellation in Go microservices?

Implement Go worker pipelines by orchestrating channels and applying context propagation for safe parallelism. This approach enables high-throughput request processing while maintaining robust goroutine management, clean cancellation, and graceful shutdown.

How do I build a high-throughput Go pipeline for parallel request processing?

Implement Go worker pipelines by orchestrating channels and applying context propagation for safe parallelism. This approach enables high-throughput request processing while maintaining robust goroutine management, clean cancellation, and graceful shutdown.

Does this approach to Go concurrency satisfy race detection and golangci-lint requirements?

Use Go generics and interfaces to design scalable, testable concurrency pipelines. These features allow you to build structured, high-throughput systems with robust error handling and idiomatic channel orchestration for production workloads.

How do I use generics and interfaces to design testable concurrent Go systems?

Use Go generics and interfaces to design scalable, testable concurrency pipelines. These features allow you to build structured, high-throughput systems with robust error handling and idiomatic channel orchestration for production workloads.

What is the best way to profile Go microservices for concurrent performance bottlenecks?

Profile Go microservices using pprof to identify performance bottlenecks in concurrent workloads. This validates your goroutine management and channel orchestration, ensuring robust parallelism without resource leaks or race conditions.

Why does my Go concurrent code fail race detection during high-throughput processing?

Go concurrent code fails race detection when lacking robust goroutine management and safe parallelism. Applying idiomatic concurrency patterns with proper context propagation and channel orchestration resolves unsafe shared state access.