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go-backend-tool

Generate Go backend project structures with REST APIs, database integration, and testing patterns.

Updated Jan 15, 2026
Search Tags:#web development#database#api#backend#microservices#golang#go
One-click install
npx skills add https://github.com/yasinnerten/temporal-openai-agents-sdk --skill go-backend-tool
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: go-backend-tool
Source: https://github.com/yasinnerten/temporal-openai-agents-sdk/tree/main/skills/go-backend-tool
Command: npx skills add https://github.com/yasinnerten/temporal-openai-agents-sdk --skill go-backend-tool

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive guidance and patterns for building robust, scalable, and maintainable Go backend services, APIs, and microservices.

Core Features & Use Cases

  • Project Structure: Standardized layouts for organizing Go backend projects.
  • API Development: Patterns for HTTP handlers, middleware, and RESTful endpoints.
  • Database Integration: Techniques for database access, transaction management, and connection pooling.
  • Error Handling: Strategies for custom error types and middleware.
  • Testing: Best practices for table-driven tests and mock interfaces.
  • Concurrency: Implementing goroutines and WaitGroups for parallel processing.
  • Deployment: Dockerfile examples and health check implementations.
  • Use Case: Develop a new microservice for user management, including API endpoints for CRUD operations, database persistence, authentication middleware, and comprehensive unit tests.

Quick Start

Use the go-backend-tool skill to generate a standard Go project structure for a new web service.

Frequently Asked Questions about go-backend-tool

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

FAQPage Schema
How do I structure a new Go backend project for microservices?▼

Implement REST API patterns using HTTP handlers and middleware to manage routing and authentication. This approach handles CRUD operations and structured logging effectively within a Go backend service.

What's the best way to handle database transactions and connection pooling in Go?▼

Database integration in Go utilizes connection pooling and transaction management to maintain data persistence. These techniques ensure reliable concurrent access and safe execution of database operations across microservices.

How do I implement concurrency with goroutines and WaitGroups for parallel processing?▼

Go concurrency patterns use goroutines and WaitGroups to execute parallel processing safely. This mechanism allows backend services to handle multiple API requests or background tasks simultaneously without blocking.

What are the best practices for testing Go backend APIs?▼

Testing Go backend APIs relies on table-driven tests and mock interfaces to verify HTTP handlers and middleware logic. This strategy ensures comprehensive coverage of error handling and database integration scenarios.

How do I deploy a Go microservice using Docker and health checks?▼

Deploy Go microservices using Dockerfile examples that package the compiled binary, and implement health check endpoints. This deployment strategy guarantees service availability and reliable container orchestration.

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