java-vo

Generate standardized Java VO classes from DO objects with Lombok and validation annotations.

36|10|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/jie023/trae-setting --skill java-vo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: java-vo
Source: https://github.com/jie023/trae-setting/tree/main/skills/java-vo
Command: npx skills add https://github.com/jie023/trae-setting --skill java-vo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a unified standard for Java VO generation, including VO classification, naming conventions, class structure, field specifications, and annotation usage, ensuring consistent DO-to-VO mappings and data transfer objects across projects.

Core Features & Use Cases

  • VO classification: supports Business DataIdVO, DataSaveVO, and DataShowVO structures for clear data roles.
  • Naming and structure: enforces big-camel class names, descriptive field names, and a conventional package/layout.
  • Field and annotation guidelines: prescribes data types, generic collections, and JSR validation annotations to maintain data integrity.
  • Use cases: generate VO classes from DOs, convert DOs to VO representations, and standardize API response objects.

Quick Start

Use the java-vo skill to generate a AdminDepartmentDataSaveVO with proper VO structure and annotations from a corresponding DO.

Frequently Asked Questions about java-vo

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

FAQPage Schema
How do I generate standardized Java VO classes from DO objects?

To generate standardized Java VO classes from DO objects, define the target VO classification like DataIdVO, DataSaveVO, or DataShowVO, then apply enforced naming conventions, class structures, and JSR validation annotations to ensure consistent data transfer structures.

What is the difference between DataIdVO, DataSaveVO, and DataShowVO in Java data transfer?

DataIdVO, DataSaveVO, and DataShowVO are distinct Java VO classifications used to separate data roles. DataIdVO handles identifiers, DataSaveVO manages input for creation or updates, and DataShowVO structures API response data for frontend display.

What naming conventions should I follow when creating a Java VO class?

Creating a Java VO class requires following strict naming conventions, including big-camel class names that combine the business domain with the VO type, descriptive field names, and a conventional package layout to maintain structural consistency across backend services.

Can I use frameworks beyond Lombok and standard validation annotations for my Java VO?

No, Java VO generation avoids dependencies beyond Lombok and standard JSR validation annotations. Prescribing specific data types, generic collections, and these minimal annotations maintains data integrity without introducing heavy framework coupling into your data transfer objects.

Why do I need separate VO classes instead of using Java DO objects directly in API responses?

Using separate Java VO classes instead of DO objects directly in API responses ensures consistent DO-to-VO mappings and enforces data integrity. This standardizes API response objects, isolating your database entities from the frontend data transfer structures.

Does Java VO generation support JSR validation annotations for data integrity?

Yes, Java VO generation prescribes JSR validation annotations to maintain data integrity. It enforces field and annotation guidelines, applying standard validation rules across your DataIdVO, DataSaveVO, and DataShowVO generation workflows.