langchain4j-ai-services-patterns
Provides patterns to build declarative AI Services with LangChain4j for LLM integration, chatbot development, AI agent implementation, and conversational AI in Java. Generates type-safe AI services using interface-based patterns, annotations, memory management, and tools integration. Use when creating AI-powered Java applications with minimal boilerplate, implementing conversational AI with memory, or building AI agents with function calling.
npx skills add majiayu000/claude-skill-registry --skill langchain4j-ai-services-patterns-giuseppe-trisciuogli-developer- --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LangChain4j AI Services Patterns This skill provides guidance for building declarative AI Services with LangChain4j using interface-based patterns, annotations for system and user messages, memory management, tools integration, and advanced AI application patterns that abstract away low-level LLM interactions. ## Overview LangChain4j AI Services define AI functionality using Java interfaces with annotations, providing type-safe, declarative AI with minimal boilerplate. ## When to Use Use this skill when: - Building declarative AI services with minimal boilerplate using Java interfaces - Creating type-safe conversational AI with memory management - Implementing AI agents with function/tool calling capabilities - Designing AI services returning structured data (enums, POJOs, lists) - Integrating RAG patterns declaratively ## Instructions Follow these steps to create declarative AI Services with LangChain4j: ### 1. Define AI Service Interface Create a Java interface with method signatures for AI interactions: ```java interface Assistant { String chat(String userMessage); } ``` ### 2. Add Annotations for System and User Messages Use `@SystemMessage` and `@UserMessage` annotations to
- Overview
- When to Use
- Instructions
- 1. Define AI Service Interface
- 2. Add Annotations for System and User Messages
- 3. Create AI Service Instance
- 4. Configure Memory for Multi-turn Conversations
- 5. Integrate Tools for Function Calling
- 6. Validate and Test
- Examples
- API Reference
- Best Practices
- Dependencies
- References
What does the langchain4j-ai-services-patterns skill do?
Provides patterns to build declarative AI Services with LangChain4j for LLM integration, chatbot development, AI agent implementation, and conversational AI in Java. Generates type-safe AI services using interface-based patterns, annotations, memory management, and tools integration. Use when creating AI-powered Java applications with minimal boilerplate, implementing conversational AI with memory, or building AI agents with function calling.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langchain4j-ai-services-patterns-giuseppe-trisciuogli-developer- --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.