golang-gin-architect

Guide Go Gin REST API architecture, project structure, and scalability patterns.

3|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/henriqueatila/golang-gin-best-practices --skill golang-gin-architect
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: golang-gin-architect
Source: https://github.com/henriqueatila/golang-gin-best-practices/tree/main/skills/golang-gin-architect
Command: npx skills add https://github.com/henriqueatila/golang-gin-best-practices --skill golang-gin-architect

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides pragmatic guidance and best practices for designing, building, and evolving production-grade REST APIs using Go and the Gin framework, addressing complexity and ensuring maintainability.

Core Features & Use Cases

  • Architecture Decision Making: Guides choices on microservices vs. monolith, sync vs. async, and appropriate design patterns.
  • Project Structure: Recommends scalable project layouts from small MVPs to large enterprise systems.
  • API Design: Enforces best practices for versioning, pagination, filtering, and error handling.
  • Use Case: When starting a new Go Gin project, use this Skill to define the initial architecture, choose the right patterns, and set up a scalable project structure from day one.

Quick Start

Use the golang-gin-architect skill to define the project structure for a new Go Gin API.

Frequently Asked Questions about golang-gin-architect

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

FAQPage Schema
How do I structure a scalable Go Gin REST API project?

To structure a scalable Go Gin REST API, you must adopt a project layout that evolves with complexity. This approach recommends organizing directories by scale, transitioning from small MVPs to large enterprise systems while maintaining strict separation of concerns.

What's the best way to handle API versioning and pagination in a Gin application?

Handling API versioning and pagination in a Gin application requires enforcing specific architectural best practices. This guidance implements standardized patterns for filtering, pagination, and versioning to ensure consistent and maintainable API endpoints.

How do I decide between a microservices or monolith architecture for my Go API?

Deciding between a microservices or monolith architecture for your Go API involves assessing system complexity and scalability requirements. This guidance evaluates your project scale to recommend appropriate design patterns and sync versus async communication strategies.

How should I handle cross-cutting concerns and error handling in Go Gin?

Handling cross-cutting concerns and error handling in Go Gin demands strict adherence to production-grade best practices. This approach provides architectural patterns to centralize error management and address system-wide concerns for maintainable applications.

When should I not use a monolithic structure for my Go Gin application?

You should not use a monolithic structure for your Go Gin application when system complexity and scalability demands exceed MVP requirements. This guidance helps identify when to transition to microservices and adopt distributed architecture patterns for better maintainability.