langchain4j-spring-boot-integration
Spring Boot auto-configuration and declarative AI services for LangChain4j integration.
Works with
What it does
Provides property-based configuration for multiple AI providers (OpenAI, Azure, Ollama) with Spring Boot starters and automatic bean wiring
Enables interface-based AI service definitions using @AiService annotations combined with message templates and Spring dependency injection
Supports RAG systems through configurable embedding stores (pgvector, Neo4j, Pinecone) and document ingestion pipelines
Installation Guide
How to use langchain4j-spring-boot-integration on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
langchain4j-spring-boot-integration
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches langchain4j-spring-boot-integration from giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate langchain4j-spring-boot-integration. Access via /langchain4j-spring-boot-integration in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort