skills.rest
cursosmrugerio
cursosmrugerioCOMMUNITY
Explore all skills by this author →
GitHub

adk-java-expert

Guide Java agent development with LlmAgent, SequentialAgent, ParallelAgent, and LoopAgent patterns.

Updated Aug 23, 2026
Search Tags:#tool integration#deployment#ai agent#java#google cloud#multi-agent system#adk
One-click install
npx skills add https://github.com/cursosmrugerio/inmobiliariaAgent --skill adk-java-expert
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: adk-java-expert
Source: https://github.com/cursosmrugerio/inmobiliariaAgent/tree/main/.claude/skills/adk-java-expert
Command: npx skills add https://github.com/cursosmrugerio/inmobiliariaAgent --skill adk-java-expert

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires com.google.adk:google-adk, com.google.adk:google-adk-contrib-langchain4j, and includes references (resource) components.

What problem does it solve?

Building robust, scalable, and debuggable AI agents in Java can be complex, requiring deep knowledge of frameworks, tools, and deployment strategies. This Skill simplifies the entire development lifecycle, providing expert guidance to overcome common challenges and accelerate your agent projects.

Core Features & Use Cases

  • Multi-Agent Orchestration: Design and implement sophisticated systems with LlmAgent, SequentialAgent, ParallelAgent, and LoopAgent patterns.
  • Custom Tool Integration: Extend agent capabilities by easily integrating custom Java functions, external APIs, and databases.
  • Cloud-Native Deployment: Get step-by-step guidance for deploying agents to Google Cloud Run or Vertex AI, ensuring your agents are production-ready.
  • Use Case: Automate a complex business process by chaining specialized agents (e.g., a ParallelAgent for data gathering, followed by an LlmAgent for synthesis, then a SequentialAgent for reporting).

Quick Start

Explain how to create a new LlmAgent in Java with a custom tool for fetching real-time stock prices.