java-xmlrpc-guideline

Enforce Java XML-RPC API contracts using XmlRpcException and JAXB serialization.

2|1|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/gabia/agent-skills --skill java-xmlrpc-guideline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: java-xmlrpc-guideline
Source: https://github.com/gabia/agent-skills/tree/main/skills/java-xmlrpc-guideline
Command: npx skills add https://github.com/gabia/agent-skills --skill java-xmlrpc-guideline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that Java XML-RPC APIs are designed for clear communication of success and failure, promoting interoperability and maintainability across different systems.

Core Features & Use Cases

  • Clear Fault Signaling: Mandates the use of XmlRpcException for all API failures.
  • Consistent Return Types: Guides the handling of void-like operations and success results.
  • Interoperable DTOs: Promotes JAXB for data serialization over Java's Serializable.
  • Use Case: When developing a Java XML-RPC service that needs to be consumed by various clients (Java, Python, etc.), this skill helps define an API contract that clearly signals errors and exchanges data in a universally understood format.

Quick Start

Use the java-xmlrpc-guideline skill to ensure all API methods declare XmlRpcException and use JAXB for DTO serialization.

Frequently Asked Questions about java-xmlrpc-guideline

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

FAQPage Schema
How do I handle exceptions in Java XML-RPC API design?

Java XML-RPC API design should enforce clear fault signaling by mandating XmlRpcException for all API failures, ensuring robust cross-language interoperability and consistent error communication across diverse clients.

Why replace Java Serializable with JAXB for XML-RPC DTOs?

Migrating XML-RPC DTOs from Java Serializable to JAXB promotes interoperable data serialization, allowing services to exchange data in a universally understood format across non-Java clients like Python.

What is the best way to handle void returns in an XML-RPC service?

XML-RPC services should replace void returns with explicit operation results, enforcing consistent return types for void-like operations and success results to maintain a robust API contract.

How do I review XML-RPC handlers for return-code anti-patterns?

Reviewing XML-RPC handlers involves checking method signatures and return types against specific patterns, removing return-code anti-patterns to enforce robust API design and clear success signaling.

Can I use JAXB serialization for cross-language XML-RPC clients?

Yes, using JAXB for DTO serialization over Java's Serializable ensures cross-language compatibility, enabling Java XML-RPC services to be consumed by various clients like Python through universally understood data formats.