“LangChain”

Framework for building LLM-powered applications with agents, chains, and RAG.

用于 LangChain 相关问题，获取官方文档和代码示例

LangChain framework for building LLM apps with agents, chains, and RAG across providers.

Advanced guide for Arabic Langchain

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system.

Run LangChain Open Deep Research or LangGraph-based iterative research workflows with configurable retrieval, reflection, and server-backed execution.

Plan, implement, or review langchain architecture work in an existing codebase with compatibility, security, and verification controls.

Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration.

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

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

Use this skill for public-safe reasoning about RAG and LangChain pipelines, document loading, splitting, embedding, vector stores, retrievers, prompts…

Translate a validated AGER/OKF AgentGraph into a LangChain Deep Agents project (skills from AgentNodes, FilesystemBackend).

INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output.

Bind a Cursor agent to langchain-deep-agents-ager.

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

Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio.

Break down a coding task into a structured implementation plan with clear steps, file identification, and risk assessment.

Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML.

Discover plugins from configured dcode marketplaces when a capability is missing or the user asks about available, disabled, or not-yet-installed plugins and…

Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio.

Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications.

Inspect and explain conversations in the local Deep Agents Code SQLite session store.

Review Talon tool placement and defensive prompts when requested or when adding or changing tools or subagents; apply confirmed changes and verify active…

Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations.