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Prototype, inspect, and improve product UI, UX, and design implementation flows.
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This skill helps Spring Boot developers integrate LangChain4j with declarative AI services and auto-configuration for production-grade AI apps.
Comprehensive testing strategies for LangChain4j applications with mocks, containers, and RAG validation. \n \n Provides unit testing patterns with mock mode…
This skill provides testing strategies for LangChain4J applications, enabling reliable unit, integration, and end-to-end tests with mocks and Testcontainers.
Annotation-based and programmatic tool system for LangChain4j agents to execute external functions, APIs, and services. \n \n Define tools using @Tool annota…
This skill enables building agentic applications by defining tools and function calls with LangChain4j, enabling real-time API access and external integrations.
LangChain4J vector store configuration for RAG applications with multiple database backends. \n \n Supports PostgreSQL/pgvector, Pinecone, MongoDB Atlas, Mil…
This skill helps configure LangChain4J vector stores for RAG applications, enabling efficient embedding storage, retrieval, and production-ready performance.
Low-code AI builder for agentic and RAG applications
INVOKE THIS SKILL for LangGraph workflows, parallel execution, interrupts, or streaming. Covers Send API for fan-out, interrupt() for human-in-the-loop,…
langgraph-persistence-&-memory — an installable skill for AI agents, published by langchain-ai/langchain-skills.
This skill enables building complex multi-agent workflows with state persistence, human-in-the-loop, and time-travel debugging using LangGraph.
This skill helps you design production-grade AI agents with LangGraph, enabling graph-based state management, persistence, and reactive tool integration.
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4988 candidates for Design. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
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