83,201 skills sorted by stars.
INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLo...
Initialize and use LangChain chat models - includes provider selection (OpenAI, Anthropic, Google), model configuration,...
Work with multimodal inputs/outputs in LangChain - includes images, audio, video, content blocks, and vision capabilitie...
Set up comprehensive observability for LangChain integrations. Use when implementing monitoring, setting up dashboards,...
LangChain is a framework for building applications powered by LLMs. It helps manage the complexity of prompt chaining, m...
Execute LangChain production deployment checklist. Use when preparing for production launch, validating deployment readi...
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveChara...
Build Retrieval Augmented Generation (RAG) systems with LangChain - includes embeddings, vector stores, retrievers, docu...
LangChain ReAct agent implementation with tool binding for reasoning and action loops
Document Q&A with RAG using Supabase pgvector store.
AI agent with retrieval tool for document Q&A using RAG and LangGraph.
Apply production-ready LangChain SDK patterns for chains, agents, and memory. Use when implementing LangChain integratio...
Stream outputs from LangChain agents and models - includes stream modes, token streaming, progress updates, and real-tim...
使用 Zod 模式、类型安全响应和自动验证从 LangChain 代理和模型获取结构化的验证输出
聊天模型如何调用工具 - 包括 bindTools、工具选择策略、并行工具调用和工具消息处理
LangChain framework utilities for chains, agents, and RAG
在 LangChain 中定义和使用工具 - 包括工具装饰器、自定义工具、内置工具和工具模式
LangChain tool creation and integration utilities for agent systems
Provides patterns to build declarative AI Services with LangChain4j for LLM integration, chatbot development, AI agent i...
Build declarative AI Services with LangChain4j using interface-based patterns, annotations, memory management, tools int...
Provides LangChain4j patterns for implementing MCP (Model Context Protocol) servers, creating Java AI tools, exposing to...
Model Context Protocol (MCP) server implementation patterns with LangChain4j. Use when building MCP servers to extend AI...
Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding s...
Provides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j for Java. Generates document inge...
Provides integration patterns for LangChain4j with Spring Boot. Configures AI model beans, sets up chat memory with Spri...
Integration patterns for LangChain4j with Spring Boot. Auto-configuration, dependency injection, and Spring ecosystem in...
Testing strategies for LangChain4j-powered applications. Mock LLM responses, test retrieval chains, and validate AI work...
Provides unit test, integration test, and mock AI patterns for LangChain4j applications. Creates mock LLM responses, tes...
Provides and generates LangChain4j tool and function calling patterns: annotates methods as tools with @Tool, configures...
Tool and function calling patterns with LangChain4j. Define tools, handle function calls, and integrate with LLM agents....
Provides configuration patterns for LangChain4J vector stores in RAG applications. Use when building semantic search, in...
Configure LangChain4J vector stores for RAG applications. Use when building semantic search, integrating vector database...
LangChain.js - TypeScript framework for building LLM-powered applications with agents, chains, RAG, tools, memory, and i...
Layer 5: SDE-Based Learning Analysis via Langevin Dynamics
A powerful Python-based visual framework for building and deploying AI-powered agents and workflows with Model Context P...
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets...
Debug AI traces, find exceptions, analyze sessions, and manage prompts via Langfuse MCP. Use when debugging AI pipelines...