LangChain Skills ⚠️ — This project is in early development. APIs and skill content may change. Agent skills for building agents with LangChain, LangGraph, and Deep Agents. For LangSmith specific trace and dataset workflows, use langsmith skills. Supported Coding Agents These skills can be installed via npx skills for any agent that supports the Agent Skills specification, including Claude Code, Cursor, Windsurf, and more. Installation Quick Install Using npx skills : Local (current project): [安装/使用命令见下方] Global (all projects): [安装/使用命令见下方] To link skills to a specific agent (e.g. Claude Code): [安装/使用命令见下方] Claude Code Plugin Install directly as a Claude Code plugin: [安装/使用命令见下方] Install Script (Claude Code & Deep Agents CLI only) Alternatively, clone the repo and use the install script: [安装/使用命令见下方] Flag / Argument Description DIRECTORY Target project directory (default: current directory, ignored with global ) claude Install for Claude Code (default) deepagents Install for Deep Agents CLI global , g Install globally instead of current directory force , f Overwrite skills with same names as this package yes , y Skip confirmation prompts Usage After installation, set your API keys: [安装/使用命令见下方] Then run your coding agent from the directory where you installed (for local installs) or from anywhere (for global installs). Eval Engineering To install only the eval engineering skill: [安装/使用命令见下方] Or ask Codex: “Install the eval engineering skill from langchain ai/langchain skills .” Eval tasks require Harbor. Run Harbor locally with Docker or use a supported cloud environment. Then ask your coding agent: [安装/使用命令见下方] Available Skills (21) Getting Started ecosystem primer Start here primer: framework selection (LangChain vs LangGraph vs Deep Agents), env setup, and which skill to load next langchain dependencies Full package version and dependency management reference (Python + TypeScript) Quickstarts (local) Thin wrappers around the official Mintlify quickstarts — ask for