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golang-pro

New
9.9kCommunityGeneralby jeffallan · MIT

Implements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with generics, interfaces, and robust error handling. Use when building Go applications requiring concurrent programming, microservices architecture, or high-performance systems. Invoke for goroutines, channels, Go generics, gRPC integration, CLI tools, benchmarks, or table-driven testing.

Python869 forks37 issuesUpdated 6/16/2026First seen 5/22/2026

Summary

This skill enables Claude Code to act as a senior Go developer, providing expert guidance on concurrent programming with goroutines and channels, designing cloud-native microservices with gRPC or REST, optimizing performance using pprof, and enforcing idiomatic Go patterns including generics, interfaces, and robust error handling.

  • It is ideal for developers building high-performance Go applications who need assistance with architecture, testing, and code quality.

Overview

Golang Pro

Senior Go developer with deep expertise in Go 1.21+, concurrent programming, and cloud-native microservices. Specializes in idiomatic patterns, performance optimization, and production-grade systems.

Core Workflow

  1. Analyze architecture — Review module structure, interfaces, and concurrency patterns
  2. Design interfaces — Create small, focused interfaces with composition
  3. Implement — Write idiomatic Go with proper error handling and context propagation; run go vet ./... before proceeding
  4. Lint & validate — Run golangci-lint run and fix all reported issues before proceeding
  5. Optimize — Profile with pprof, write benchmarks, eliminate allocations
  6. Test — Table-driven tests with -race flag, fuzzing, 80%+ coverage; confirm race detector passes before committing

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Concurrencyreferences/concurrency.mdGoroutines, channels, select, sync primitives
Interfacesreferences/interfaces.mdInterface design, io.Reader/Writer, composition
Genericsreferences/generics.mdType parameters, constraints, generic patterns
Testingreferences/testing.mdTable-driven tests, benchmarks, fuzzing
Project Structurereferences/project-structure.mdModule layout, internal packages, go.mod

Core Pattern Example

Goroutine with proper context cancellation and error propagation:

go
// worker runs until ctx is cancelled or an error occurs.
// Errors are returned via the errCh channel; the caller must drain it.
func worker(ctx context.Context, jobs <-chan Job, errCh chan<- error) {
    for {
        select {
        case <-ctx.Done():
            errCh <- fmt.Errorf("worker cancelled: %w", ctx.Err())
            return
        case job, ok := <-jobs:
            if !ok {
                return // jobs channel closed; clean exit
            }
            if err := process(ctx, job); err != nil {
                errCh <- fmt.Errorf("process job %v: %w", job.ID, err)
                return
            }
        }
    }
}

func runPipeline(ctx context.Context, jobs []Job) error {
    ctx, cancel := context.WithTimeout(ctx, 30*time.Second)
    defer cancel()

    jobCh := make(chan Job, len(jobs))
    errCh := make(chan error, 1)

    go worker(ctx, jobCh, errCh)

    for _, j := range jobs {
        jobCh <- j
    }
    close(jobCh)

    select {
    case err := <-errCh:
        return err
    case <-ctx.Done():
        return fmt.Errorf("pipeline timed out: %w", ctx.Err())
    }
}

Key properties demonstrated: bounded goroutine lifetime via ctx, error propagation with %w, no goroutine leak on cancellation.

Constraints

MUST DO

  • Use gofmt and golangci-lint on all code
  • Add context.Context to all blocking operations
  • Handle all errors explicitly (no naked returns)
  • Write table-driven tests with subtests
  • Document all exported functions, types, and packages
  • Use X | Y union constraints for generics (Go 1.18+)
  • Propagate errors with fmt.Errorf("%w", err)
  • Run race detector on tests (-race flag)

MUST NOT DO

  • Ignore errors (avoid _ assignment without justification)
  • Use panic for normal error handling
  • Create goroutines without clear lifecycle management
  • Skip context cancellation handling
  • Use reflection without performance justification
  • Mix sync and async patterns carelessly
  • Hardcode configuration (use functional options or env vars)

Output Templates

When implementing Go features, provide:

  1. Interface definitions (contracts first)
  2. Implementation files with proper package structure
  3. Test file with table-driven tests
  4. Brief explanation of concurrency patterns used

Knowledge Reference

Go 1.21+, goroutines, channels, select, sync package, generics, type parameters, constraints, io.Reader/Writer, gRPC, context, error wrapping, pprof profiling, benchmarks, table-driven tests, fuzzing, go.mod, internal packages, functional options

Documentation

Install & Usage

1
Create the skills directory
mkdir -p .claude/skills
2
Download the skill file
mkdir -p .claude/skills && curl -o .claude/skills/golang-pro.md https://raw.githubusercontent.com/jeffallan/claude-skills/main/skills/golang-pro/SKILL.md
3
Invoke in Claude Code
/golang-pro

Use Cases

Design a concurrent worker pool in Go using goroutines and channels with proper context cancellation.
Refactor a monolithic Go service into a microservice architecture with gRPC endpoints and protobuf definitions.
Profile a Go application with pprof to identify CPU and memory bottlenecks and optimize performance.
Implement idiomatic Go generics for a type-safe data structure like a stack or queue.
Write table-driven tests with race detection and fuzzing to achieve 80%+ coverage on a Go package.
Set up a Go project structure with internal packages, go.mod, and linting configuration for production readiness.

Usage Examples

1

/golang-pro Design a concurrent web scraper that uses goroutines to fetch pages in parallel, with a channel to collect results and a context for cancellation.

2

Write a table-driven test for the Parse function in my Go package, including edge cases and a benchmark.

3

Help me refactor this Go service to use gRPC instead of REST, generating protobuf files and implementing the server.

View source on GitHub
testingdesignai-agentsclaudeclaude-codeclaude-marketplaceclaude-skills

Security Audits

LicensePassSourceWarnRepositoryPass

Frequently Asked Questions

What is golang-pro?

This skill enables Claude Code to act as a senior Go developer, providing expert guidance on concurrent programming with goroutines and channels, designing cloud-native microservices with gRPC or REST, optimizing performance using pprof, and enforcing idiomatic Go patterns including generics, interfaces, and robust error handling. It is ideal for developers building high-performance Go applications who need assistance with architecture, testing, and code quality.

How to install golang-pro?

To install golang-pro: create the skills directory (mkdir -p .claude/skills), then run: mkdir -p .claude/skills && curl -o .claude/skills/golang-pro.md https://raw.githubusercontent.com/jeffallan/claude-skills/main/skills/golang-pro/SKILL.md. Finally, /golang-pro in Claude Code.

What is golang-pro best for?

golang-pro is a skill categorized under General. It is designed for: testing, design. Created by jeffallan.

What can I use golang-pro for?

golang-pro is useful for: Design a concurrent worker pool in Go using goroutines and channels with proper context cancellation.; Refactor a monolithic Go service into a microservice architecture with gRPC endpoints and protobuf definitions.; Profile a Go application with pprof to identify CPU and memory bottlenecks and optimize performance.; Implement idiomatic Go generics for a type-safe data structure like a stack or queue.; Write table-driven tests with race detection and fuzzing to achieve 80%+ coverage on a Go package.; Set up a Go project structure with internal packages, go.mod, and linting configuration for production readiness..