langchain4j-ai-services-patterns
Build declarative AI Services with LangChain4j using interface-based patterns, annotations, memory management, tools integration, and advanced application patterns. Use when implementing type-safe AI-powered features with minimal boilerplate code in Java applications.
npx skills add majiayu000/claude-skill-registry --skill langchain4j-ai-services-patterns --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. ## When to Use Use this skill when: - Building declarative AI-powered interfaces with minimal boilerplate code - Creating type-safe AI services with Java interfaces and annotations - Implementing conversational AI systems with memory management - Designing AI services that can call external tools and functions - Building multi-agent systems with specialized AI components - Creating AI services with different personas and behaviors - Implementing RAG (Retrieval-Augmented Generation) patterns declaratively - Building production AI applications with proper error handling and validation - Creating AI services that return structured data types (enums, POJOs, lists) - Implementing streaming AI responses with reactive patterns ## Overview LangChain4j AI Services allow you to define AI-powered functionality using plain Java interfaces with annotations, eliminating the need for manu
- When to Use
- Overview
- Quick Start
- Basic AI Service Definition
- System Message and Templates
- Memory Management
- Tool Integration
- Examples
- API Reference
- Best Practices
- Dependencies
- References
What does the langchain4j-ai-services-patterns skill do?
Build declarative AI Services with LangChain4j using interface-based patterns, annotations, memory management, tools integration, and advanced application patterns. Use when implementing type-safe AI-powered features with minimal boilerplate code in Java applications.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langchain4j-ai-services-patterns --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.