Can it help with database migrations and ORMs?

Yes, it includes specialized patterns for sqlx and GORM, covering transactions, named queries, and relationship preloading.

Does it follow the standard Go project layout?

It proactively suggests the 'Standard Go Project Layout' using cmd/, internal/, and pkg/ directories to ensure long-term maintainability.

How does it handle Go concurrency?

It provides safe patterns for using goroutines with WaitGroups, context timeouts for cancellation, and bounded worker pools to prevent resource exhaustion.

Does this skill support frameworks other than Gin?

Yes, it provides idiomatic patterns for Gin, Echo, Fiber, and the standard Go net/http library.

Go Backend Expert

Name: Go Backend Expert
Author: nguyenthienthanh

bynguyenthienthanh

•

Desarrollo de API

Provides expert-level patterns and guidance for developing robust Go backend services, APIs, and concurrent applications.

Acerca de

The Go Expert skill transforms Claude into a senior-level Golang architect specializing in high-performance backend development. It enforces idiomatic Go patterns, including typed error handling, dependency injection, and interface-driven design while providing deep support for popular frameworks like Gin, Echo, and Fiber. From setting up standardized project structures to implementing complex concurrency patterns with goroutines and channels, this skill ensures that your code is scalable, testable, and production-ready.

Características Principales

Advanced concurrency management using WaitGroups, Context, and worker pools
Robust error handling strategies with custom typed errors and wrapping
Standardized Go project layouts and idiomatic code patterns
1 GitHub stars
Comprehensive framework guidance for Gin, Echo, and Fiber
Table-driven testing and HTTP handler mocking best practices

Casos de Uso

Refactoring Go codebases to follow senior-level architectural patterns
Implementing safe concurrent data processing pipelines
Building high-performance RESTful APIs with Gin or Fiber

Acerca de

Características Principales

Advanced concurrency management using WaitGroups, Context, and worker pools
Robust error handling strategies with custom typed errors and wrapping
Standardized Go project layouts and idiomatic code patterns
1 GitHub stars
Comprehensive framework guidance for Gin, Echo, and Fiber
Table-driven testing and HTTP handler mocking best practices

Casos de Uso

Refactoring Go codebases to follow senior-level architectural patterns
Implementing safe concurrent data processing pipelines
Building high-performance RESTful APIs with Gin or Fiber