В каталоге 182 820 навыков в 14 категориях.
Run LAMMPS molecular dynamics with DeePMD-kit machine learning potentials. Use when the user wants MD simulations driven...
Generate a complete, deployable landing page from a brief. Produces a single self-contained HTML file with Tailwind CSS...
Framework for building applications with large language models and chains.
LangChain workflows for `create_agent`, LCEL chains, `bind_tools`, middleware, and structured output with production-saf...
Build production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain framew...
Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding s...
LangChain & AI Agent Frameworks expert. Covers LCEL chains, ReAct/Plan-and-Execute/Multi-Agent architectures, tool calli...
Create and use LangChain agents with createAgent - includes agent loops, ReAct pattern, tool execution, and state manage...
Master the LangChain framework for building sophisticated LLM applications with agents, chains, memory, and tool integra...
Healthcare AI SaaS
LLMs Agent
Optimize LangChain API costs and token usage. Use when reducing LLM API expenses, implementing cost controls, or optimiz...
Collect LangChain debug evidence for troubleshooting and support. Use when preparing bug reports, collecting traces, or...
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency manage...
Complete guide for LangChain, LangGraph, and Deep Agents development. Covers framework selection, agents, tools, RAG, mi...
Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.
Create a minimal working LangChain example. Use when starting a new LangChain integration, testing your setup, or learni...
Add human oversight to LangChain agents using HITL middleware - includes interrupts, approval workflows, edit/reject dec...
Install and configure LangChain SDK/CLI authentication. Use when setting up a new LangChain integration, configuring API...
使用 LangChain 中的聊天模型集成指南，包括 OpenAI、Anthropic、Google、Azure 和 Bedrock
使用 LangChain 中的文本分割器集成指南，包括递归、字符和语义分割器
LangChain 工具集成使用指南，包括预构建工具包、Tavily、Wikipedia 和自定义工具
LangChain 向量存储集成使用指南，包括 Chroma、Pinecone、FAISS 和内存向量存储
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...
Build Retrieval Augmented Generation (RAG) systems with LangChain - includes embeddings, vector stores, retrievers, docu...
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveChara...
Review a LangChain retrieval augmented generation stack for document poisoning, retriever scope failures, insecure chain...
LangChain ReAct agent implementation with tool binding for reasoning and action loops
Document Q&A with RAG using Supabase pgvector store.
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 tool creation and integration utilities for agent systems
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 framework utilities for chains, agents, and RAG
Model Context Protocol (MCP) server implementation patterns with LangChain4j. Use when building MCP servers to extend AI...
Integration patterns for LangChain4j with Spring Boot. Auto-configuration, dependency injection, and Spring ecosystem in...
Tool and function calling patterns with LangChain4j. Define tools, handle function calls, and integrate with LLM agents....
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...
Debug AI traces, find exceptions, analyze sessions, and manage prompts via Langfuse MCP. Use when debugging AI pipelines...
LLM observability with Langfuse — tracing, evals, prompt management, cost tracking
Monitor and optimize LLM costs using Langfuse analytics and dashboards. Use when tracking LLM spending, identifying cost...
Automates Langfuse Cloud dashboard interactions using Playwright MCP. Captures screenshots for documentation, extracts m...
Collect Langfuse debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, prepar...
Extracts traces, observations, and metrics from Langfuse Cloud (EU) API for debugging, telemetry analysis, and regulator...
Create a minimal working Langfuse trace example. Use when starting a new Langfuse integration, testing your setup, or le...
Install and configure Langfuse SDK authentication for LLM observability. Use when setting up a new Langfuse integration,...
Replaces Phoenix observability with Langfuse Cloud (EU) traceability for pharmaceutical test generation. Adds @observe d...
LLM observability platform for tracing, evaluation, prompt management, and cost tracking. Use when setting up Langfuse,...
Implement Langfuse rate limiting, batching, and backoff patterns. Use when handling rate limit errors, optimizing trace...
Langfuse SDK best practices, patterns, and idiomatic usage. Use when learning Langfuse SDK patterns, implementing proper...
Integrate Langfuse observability with AWS Strands Agents for comprehensive tracing, monitoring, and debugging of AI agen...
Expert guidance for building stateful, multi-actor AI agents with LangGraph - graphs, nodes, edges, state management, an...
LangGraph state-machine design and debugging for `StateGraph`, node/edge routing, checkpoints, `interrupt`, and HITL flo...
Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, b...
Multi-agent systems with LangGraph - supervisor/swarm patterns, state coordination, multi-provider routing. Use when: bu...
LangGraph checkpointing and persistence. Use when implementing fault-tolerant workflows, resuming interrupted executions...
CRITICAL: LangGraph workflows are NestJS applications under apps/langgraph/. They receive the same parameters as n8n wor...
LangGraph Functional API with @entrypoint and @task decorators. Use when building workflows with the modern LangGraph pa...
使用 StateGraph、节点、边、START/END 节点和 Command API 构建图，结合控制流与状态更新
Human-in-the-loop integration for LangGraph workflows with approval and intervention points
LangGraph human-in-the-loop patterns. Use when implementing approval workflows, manual review gates, user feedback integ...
INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. C...
人机交互与动态中断和断点：暂停执行以供人工审查和使用 Command 恢复
理解 LangGraph：用于构建有状态、长期运行 Agent 的低级编排框架，具有持久执行、流式传输和人机交互能力
LangGraph parallel execution patterns. Use when implementing fan-out/fan-in workflows, map-reduce over tasks, or running...
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-lo...
Design and build AI agents with LangGraph. Use when building ReAct agents, multi-agent systems, workflow orchestration,...
LangGraph conditional routing patterns. Use when implementing dynamic routing based on state, creating branching workflo...
在 LangGraph 中管理状态：模式、reducer、通道和消息传递，用于协调 Agent 执行
LangGraph state management patterns. Use when designing workflow state schemas, using TypedDict vs Pydantic, implementin...
从 LangGraph 流式传输实时更新：流式模式（values、updates、messages、custom、debug）用于响应式 UX
LangGraph supervisor-worker pattern. Use when building central coordinator agents that route to specialized workers, imp...
LangGraph workflow patterns for agent orchestration
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating mode...
LangSmith Agent Builder - No-code platform for creating AI agents with built-in tools (Gmail, Slack, GitHub, Linear), OA...
langsmith-fetch
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavi...
CRITICAL for RAG: Every RAG query MUST be traced in LangSmith for observability. Silent failures (bad retrieval, halluci...
通过从 LangSmith Studio 获取执行追踪来调试 LangChain 和 LangGraph 代理。用于调试代理行为、调查错误、分析工具调用、检查内存操作或检查代理性能时。自动获取最近的追踪并分析执行模式。需要安装 langsm...
Embody Lao Tzu - AI persona expert with integrated methodology skills
根据真人AI口播稿和 Jeffrey 身份参考图，按文案冲突选择1个最匹配模板，生成1张9:16视觉母版，并产出3:4/4:3/16:9三张真实尺寸封面，共享到四平台7个逻辑入口。Use when 用户说“生成封面提示词”“做封面”“封面”...
老外博主复刻→数字人→抖音视频全流程总控（含调用 laohan-yinse）。从"选一个外国博主"到"数字人视频发布"的端到端自动化流程：博主选型与资料包下载→声音模型（服务器微调，硬性前置，调 laohan-yinse）→形象素材处理（字...
老舍京味儿文学思维——市民生活、幽默悲凉、茶馆里的中国、读书人的气节。 触发词：「老舍视角」「像老舍那样写」「骆驼祥子」「茶馆」「含泪的笑」。 擅长：京味儿文学、市民生活、幽默悲凉、戏剧对话、白描手法。
Laravel AI SDK for building AI-powered features. Use when creating agents, generating images or audio, working with embe...
Integrate Gemini 2.5 Flash multimodal LLM via gateway for text/image understanding, content generation, summarization, a...
Embody Larry Page - AI persona expert with integrated methodology skills
Research any topic from the last 30 days on Reddit + X + Web, synthesize findings, and write copy-paste-ready prompts. U...
This skill should be used when the user asks to "share memory between agents", "KV cache compaction for multi-agent", "o...
Shapes agent behavior via instruction framing and style transfer. Use when composing dispatch prompts or writing skill i...