Langchain Ai Skills

skills-benchmarks/skills/benchmarks/framework-selection

INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code. Determines which framework layer is right for the…

deepagents/examples/nvidia_deep_agent/skills/gpu-document-processing

Use when processing large PDFs, document collections, or bulk text extraction tasks that benefit from GPU-accelerated processing. Triggers when the user…

docs/src/.mintlify/skills/langchain

Build agents with a prebuilt architecture and integrations for any model or tool. Use when creating tool-calling agents, switching model providers, or adding…

langchain-skills/skills/LangChain Agent Starter Kit

ALWAYS START HERE for any LangChain, Deep Agents, or LangGraph open source agent project. It is the required starting point for any LangChain open source agent…

langchain-skills/skills/LangChain Middleware & HITL

langchain-middleware-&-hitl — an installable skill for AI agents, published by langchain-ai/langchain-skills.

langchain-skills/skills/LangChain RAG Pipeline

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI),…

langchain-skills/skills/LangChain Structured Output & HITL

langchain-structured-output-&-hitl — an installable skill for AI agents, published by langchain-ai/langchain-skills.

langchain-skills/skills/langchain-agents

Use this skill for ANY coding question involving LangChain products (LangChain, LangGraph, LangSmith SDK). Covers agent development patterns, primitives,…

skills-benchmarks/skills/langchain-agents

Build LangChain agents with modern patterns. Covers create_agent, LangGraph, and context management.

langchain-skills/config/skills/langchain-dependencies

LangChain ecosystem package versions, dependencies, and installation guidance for Python and TypeScript. Start all new projects on LangChain 1.0 LTS; version 0.3 is legacy maintenance-only. Always install langchain-core explicitly alongside other packages. Choose one orchestration layer: LangGraph for fine-grained graph control, or Deep Agents for batteries-included planning and memory. Pin langchain-community conservatively to exact minor versions (e.g., >=0.4.0,<0.5.0 ) since it does not...

skills-benchmarks/skills/main/langchain-dependencies

INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph,…

langchain-skills/config/skills/langchain-fundamentals

Build production LangChain agents with create_agent(), tools, and middleware patterns. Use create_agent() with model, tools list, and system prompt; configure state persistence with checkpointer and thread_id for conversation memory across invocations Define tools via @tool decorator (Python) or tool() function (TypeScript) with clear descriptions so agents know when to call them Add middleware like HumanInTheLoopMiddleware for approval workflows, custom error handling, and human-in-the-loop...

skills-benchmarks/skills/main/langchain-fundamentals

Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.

langchain-skills/config/skills/langchain-middleware

Human-in-the-loop approval, custom middleware, and structured output patterns for LangChain agents. HumanInTheLoopMiddleware pauses execution before dangerous tool calls, allowing humans to approve, edit arguments, or reject with feedback Per-tool interrupt policies let you configure different approval rules based on risk level; requires a checkpointer and thread_id for state persistence Command resume pattern continues execution after human decisions, with support for editing tool arguments...

skills-benchmarks/skills/main/langchain-middleware

INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human approval of…

skills-benchmarks/skills/benchmarks/langchain-oss-primer

ALWAYS START HERE for any LangChain, Deep Agents, or LangGraph agent building project. Required starting point before choosing other skills or writing any…

langchain-skills/config/skills/langchain-python-quickstart

Scaffold a minimal local LangChain agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent…

langchain-skills/config/skills/langchain-rag

Complete RAG pipeline for document ingestion, embedding, retrieval, and LLM-powered response generation. Supports multiple document loaders (PDF, web pages, directories) and persistent vector stores (Chroma, FAISS, Pinecone) with configurable chunk size and overlap for optimal context preservation Includes similarity search, MMR (Maximal Marginal Relevance) retrieval, and metadata filtering to balance relevance and diversity in results Works with OpenAI embeddings and integrates seamlessly...

skills-benchmarks/skills/main/langchain-rag

langchain-rag — an installable skill for AI agents, published by langchain-ai/skills-benchmarks.

langchain-skills/config/skills/langchain-typescript-quickstart

Scaffold a minimal local LangChain agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent…

docs/src/.mintlify/skills/langgraph

Build stateful, durable agent workflows with LangGraph. Use when you need custom graph-based control flow, human-in-the-loop, persistence, or multi-agent…

langchain-skills/skills/LangGraph Execution Control

INVOKE THIS SKILL for LangGraph workflows, parallel execution, interrupts, or streaming. Covers Send API for fan-out, interrupt() for human-in-the-loop,…

langchain-skills/skills/LangGraph Persistence & Memory

langgraph-persistence-&-memory — an installable skill for AI agents, published by langchain-ai/langchain-skills.

langchain-skills/config/skills/langgraph-cli

INVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications. Covers langgraph new, dev, build, up, deploy, and…

deepagentsjs/examples/skills/langgraph-docs

Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.

docs/src/code-samples/deepagents/skills/langgraph-docs

Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use…

deepagents/libs/code/examples/skills/langgraph-docs

Access LangGraph documentation to build stateful agents and multi-agent workflows. Fetches official LangGraph Python docs covering state machines, graph-based agent design, and human-in-the-loop patterns Prioritizes relevant documentation by query type: implementation guides for how-to questions, concept pages for theory, tutorials for end-to-end examples, and API references for technical details Automatically selects 2–4 most relevant documentation URLs and retrieves their content to answer...

langchain-skills/config/skills/langgraph-fundamentals

Directed graph framework for building stateful, multi-step agent workflows with fine-grained control. StateGraph with typed state schemas, reducers for accumulating lists/values, and nodes that return partial state updates Static edges for fixed flow, conditional edges for branching, and Command for combining state updates with dynamic routing Send API for fan-out parallelism to worker nodes with result aggregation via reducers Invoke for single execution and stream modes (values, updates,...

skills-benchmarks/skills/main/langgraph-fundamentals

INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.

langchain-skills/config/skills/langgraph-human-in-the-loop

Pause graph execution for human review, approval, or validation, then resume with their input. Requires three components: a checkpointer (InMemorySaver or PostgresSaver), a thread ID in config, and JSON-serializable interrupt payloads interrupt(value) pauses and surfaces data; Command(resume=value) resumes and returns that value to the paused node All code before interrupt() re-executes on resume, so side effects must be idempotent (use upsert, not insert) Supports approval workflows,...