itsm-backend-guide

Provide structured backend development guidance for Go-based ITSM projects using Gin and Ent ORM.

57|13|Updated Jul 12, 2025
One-click install
npx skills add https://github.com/heidsoft/itsm --skill itsm-backend-guide
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: itsm-backend-guide
Source: https://github.com/heidsoft/itsm/tree/main/.trae/skills/itsm-backend-guide
Command: npx skills add https://github.com/heidsoft/itsm --skill itsm-backend-guide

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The backend development guide provides structured patterns and best practices for building ITSM services with Go, Gin, and Ent ORM, ensuring consistency and maintainability across the codebase.

Core Features & Use Cases

  • Standardized architecture: Controller, Service, Ent-based data layer, and DTOs, enabling consistent layering and testability.
  • Recipe-driven workflows: Clear steps for database schema changes, DTO validation, transaction handling, and tenant isolation.
  • Use Case: When starting a new ITSM backend module, follow this guide to implement scalable, secure, and auditable services with proper error handling and logging.

Quick Start

Start by aligning your project with the guide's recommended architecture and follow the examples to implement a new ITSM backend module.

Frequently Asked Questions about itsm-backend-guide

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

FAQPage Schema
How do I structure a Go backend for ITSM using Gin and Ent ORM?

To structure a Go backend for ITSM, use a layered architecture with controllers, services, Ent-based data layers, and DTOs to ensure consistency and testability. This pattern separates business logic from data access and API routing.

What is the best way to handle transactions and tenancy in an Ent-backed Go service?

Handling transactions and tenancy in an Ent-backed Go service requires recipe-driven workflows for schema changes and tenant isolation. This approach enforces best practices for secure, auditable data access across multiple tenants.

How do I implement DTO validation and error handling in a Gin web application?

Implement DTO validation and error handling in a Gin application by defining structured data transfer objects and passing them through service layers. This ensures consistent validation and proper logging before Ent ORM processes the data.

Does this backend guide support code generation for Ent schemas?

Yes, this backend guide supports code generation for Ent schemas as part of its core features. It provides clear steps for database schema changes and enforces best practices for generating maintainable code structures.

Can I use this architecture for adding audit trails to ITSM modules?

Yes, you can use this architecture to add audit trails to ITSM modules. The guide enforces best practices for audit trails within the Ent-backed backend, ensuring scalable and secure service operations.

When do I need DTOs in a layered Go backend architecture?

You need DTOs in a layered Go backend architecture to transfer data between controllers and services consistently. They enable standardized validation and decouple your API request structures from the Ent ORM database models.