go-implementor

Implement production-grade Go backend services with REST and gRPC.

2|1|Updated Jul 2, 2025

Search Tags:#testing #architecture #backend #golang #go #observability #clean-architecture

Ready to run

npx skills add https://github.com/rikdc/claude_code_template --skill go-implementor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: go-implementor
Source: https://github.com/rikdc/claude_code_template/tree/main/.claude/skills/go-implementor
Command: npx skills add https://github.com/rikdc/claude_code_template --skill go-implementor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides expert Go software engineering guidance and implementation for production-grade backend services.

Core Features & Use Cases

Idiomatic Go patterns: Design clean, maintainable services with proper error handling, interfaces, and context propagation.
End-to-end production readiness: TDD-driven development, structured logging, metrics, tracing, and robust testing.
Use case examples: Build REST or gRPC backends with clean architectures and test coverage, including deployment and observability.

Quick Start

Tell the Go Implementor to scaffold a new service with an HTTP API, tests, and observability. Example: create a skeleton for a User service with a CreateUser handler and unit tests.

Frequently Asked Questions about go-implementor

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

FAQPage Schema

How do I build a production-grade Go backend service?▼

Production-grade Go services require idiomatic patterns, structured logging, metrics, tracing, and clean architecture. This Skill provides end-to-end guidance for REST and gRPC backends with test coverage, error handling, context propagation, and deployment-ready observability integrated from the start.

What testing approach should I use for Go microservices?▼

TDD-driven development ensures robust Go services. This Skill covers unit testing, test structure, and testing patterns that work with clean architecture to validate both business logic and service boundaries before deployment.

How do I add observability to a Go REST or gRPC service?▼

Observability in Go requires structured logging, metrics collection, and distributed tracing. This Skill integrates these patterns into service design so context flows through requests, errors surface clearly, and production behavior becomes visible.

What's the best way to organize a Go service project for maintainability?▼

Clean architecture separates concerns and reduces coupling in Go projects. This Skill scaffolds maintainable service structures with proper layer boundaries, interface design, and error handling conventions that scale as services grow.

Can I use Go for cloud-native backend services?▼

Go is well-suited for cloud-native backends. This Skill applies idiomatic Go patterns, context propagation, and observability practices specifically for cloud environments, covering both REST and gRPC protocols used in modern deployments.

How do I ensure proper error handling and context propagation in Go?▼

Error handling and context propagation are critical in production Go services. This Skill teaches idiomatic patterns for wrapping errors meaningfully, propagating request context through call chains, and maintaining traceability across distributed calls.