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gin-gonic skill

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This skill provides practical guidance for Gin-Gonic routing, middleware, validation, and best practices to build robust Go web applications.

npx playbooks add skill partme-ai/full-stack-skills --skill gin-gonic

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SKILL.md

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---
name: gin-gonic
description: Provides comprehensive guidance for Gin-Gonic framework including routing, middleware, validation, and best practices. Use when the user asks about Gin-Gonic, needs to create Go web applications, or implement Gin patterns.
license: Complete terms in LICENSE.txt
---

## When to use this skill

Use this skill whenever the user wants to:
- [待完善：根据具体工具添加使用场景]

## How to use this skill

[待完善：根据具体工具添加使用指南]

## Best Practices

[待完善：根据具体工具添加最佳实践]

## Keywords

[待完善：根据具体工具添加关键词]

Overview

This skill provides comprehensive, practical guidance for building web applications with the Gin-Gonic framework in Go. It covers routing, middleware, request validation, error handling, performance tuning, and common patterns for scalable APIs. The guidance is focused on actionable examples and best practices you can apply immediately.

How this skill works

The skill inspects common Gin usage scenarios and offers targeted advice: route organization, parameter binding, middleware composition, and response handling. It explains implementation choices, trade-offs, and secure defaults, with patterns for testing, logging, and graceful shutdown. Recommendations are technology-specific and aim to speed development while avoiding common pitfalls.

When to use it

You are creating RESTful APIs or microservices in Go using Gin.
You need help organizing routes, groups, and middleware for a maintainable codebase.
You want to implement input validation, binding, and JSON schema enforcement.
You need guidance on performance tuning, concurrency, and safe shutdown.
You are integrating authentication, authorization, or CORS in a Gin app.

Best practices

Group related routes with RouterGroup and minimize global state for testability.
Use context-aware middleware; attach request-scoped values to gin.Context rather than globals.
Prefer explicit binding and validation (ShouldBind/ShouldBindJSON with validator tags) and return clear error responses.
Keep handlers thin: delegate business logic to services and keep controllers focused on HTTP concerns.
Instrument logging and metrics at middleware level and practice graceful shutdown with http.Server and context timeouts.

Example use cases

Designing a versioned REST API with route groups and shared middleware for auth and rate limiting.
Implementing input validation for complex payloads and returning consistent error formats.
Building a high-throughput microservice: tuning timeouts, limiting goroutines, and enabling HTTP/2 if applicable.
Adding JWT-based authentication middleware and role-based authorization checks per route.
Creating integration tests for handlers using httptest and Gin's router without starting a real server.

FAQ

Should I use Gin for high-performance APIs?

Yes—Gin is designed for speed. Combine lean handlers, efficient middleware, and proper concurrency control to maximize throughput.

How do I validate nested JSON structures reliably?

Use struct tags with the validator library, custom validation functions for complex rules, and explicit binding methods like ShouldBindJSON to surface errors clearly.