Agent skill · AI & Agents

langchain4j-spring-boot-integration

Integration patterns for LangChain4j with Spring Boot. Auto-configuration, dependency injection, and Spring ecosystem integration. Use when embedding LangChain4j into Spring Boot applications.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill langchain4j-spring-boot-integration-giuseppe-trisciuogli-develop --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Version: 1.1.0
Allowed tools: ReadWriteBashGrep
Path: skills/ai-llm/langchain4j-spring-boot-integration-giuseppe-trisciuogli-develop/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# LangChain4j Spring Boot Integration To accomplish integration of LangChain4j with Spring Boot applications, follow this comprehensive guidance covering auto-configuration, declarative AI Services, chat models, embedding stores, and production-ready patterns for building AI-powered applications. ## When to Use To accomplish integration of LangChain4j with Spring Boot when: - Integrating LangChain4j into existing Spring Boot applications - Building AI-powered microservices with Spring Boot - Setting up auto-configuration for AI models and services - Creating declarative AI Services with Spring dependency injection - Configuring multiple AI providers (OpenAI, Azure, Ollama, etc.) - Implementing RAG systems with Spring Boot - Setting up observability and monitoring for AI components - Building production-ready AI applications with Spring Boot ## Overview LangChain4j Spring Boot integration provides declarative AI Services through Spring Boot starters, enabling automatic configuration of AI components based on properties. The integration combines the power of Spring dependency injection with LangChain4j's AI capabilities, allowing developers to create AI-powered applications using int

What's inside
Steps it walks through
  1. When to Use
  2. Overview
  3. Core Concepts
  4. Configuration
  5. Declarative AI Services
  6. RAG Implementation
  7. Tool Integration
  8. Examples
  9. Best Practices
  10. References
Ships with 1 file
  • metadata.json
More from claude-skill-registry
All skills →
About this skill
What does the langchain4j-spring-boot-integration skill do?

Integration patterns for LangChain4j with Spring Boot. Auto-configuration, dependency injection, and Spring ecosystem integration. Use when embedding LangChain4j into Spring Boot applications.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill langchain4j-spring-boot-integration-giuseppe-trisciuogli-develop --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.

Keep going