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Go Service Builder

Caution

Scaffold and develop production-ready Go microservices with idiomatic patterns, REST/gRPC APIs, middleware, and structured logging.

By community 4,200 v1.3.0 Updated 2026-03-08

Install

Claude Code

Copy the SKILL.md file to .claude/skills/go-service.md

About This Skill

Go Service Builder scaffolds idiomatic Go microservices that follow the standard project layout and best practices recommended by the Go community. It generates clean, testable code that's ready for production deployment.

What It Generates

  • Project structure — cmd/, internal/, pkg/ layout with proper separation of concerns
  • HTTP/gRPC servers — net/http or gRPC servers with TLS, graceful shutdown, and timeouts
  • Middleware — Authentication, rate limiting, request logging, panic recovery, and CORS
  • Configuration — Environment-based config with Viper or standard library
  • Observability — Structured logging with zerolog/zap, Prometheus metrics, and trace headers

Idiomatic Patterns

The skill enforces Go idioms: explicit error handling, small interfaces, composition over inheritance, and context propagation. Generated code passes `go vet` and `staticcheck` without modification.

Database Integration

Optionally generates repository layers using `database/sql` with sqlx, or pgx for PostgreSQL. Includes migration helpers compatible with golang-migrate.

Testing Scaffolding

Generates table-driven tests for handlers and repository mocks using testify. Integration test helpers with `httptest` are included for API endpoint testing.

Use Cases

  • Bootstrapping new Go microservice projects with standard layout
  • Adding gRPC or REST endpoints to existing Go services
  • Implementing middleware chains for auth, rate limiting, and logging
  • Setting up graceful shutdown and health check endpoints

Pros & Cons

Pros

  • + Generates idiomatic Go code that passes linting without modification
  • + Supports both REST and gRPC in the same service
  • + Includes full observability stack from day one
  • + Produces table-driven tests alongside production code

Cons

  • - Opinionated project layout may conflict with existing codebases
  • - gRPC generation requires protoc toolchain installed separately

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