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.

Want your agent to self-improve? Use langsmith-skills to observe, evaluate, and iterate on your LLM applications.

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):

npx skills add langchain-ai/langchain-skills --skill '*' --yes

Global (all projects):

npx skills add langchain-ai/langchain-skills --skill '*' --yes --global

To link skills to a specific agent (e.g. Claude Code):

npx skills add langchain-ai/langchain-skills --agent claude-code --skill '*' --yes --global

Claude Code Plugin

Install directly as a Claude Code plugin:

/plugin marketplace add langchain-ai/langchain-skills
/plugin install langchain-skills@langchain-skills

Install Script (Claude Code & Deep Agents CLI only)

Alternatively, clone the repo and use the install script:

# Install for Claude Code in current directory (default)
./install.sh

# Install for Claude Code in a specific project directory
./install.sh ~/my-project

# Install for Claude Code globally
./install.sh --global

# Install for Deep Agents CLI in a specific project directory
./install.sh --deepagents ~/my-project

# Install for Deep Agents CLI globally (includes agent persona)
./install.sh --deepagents --global

Usage

After installation, set your API keys:

export OPENAI_API_KEY=<your-key>      # For OpenAI models
export ANTHROPIC_API_KEY=<your-key>   # For Anthropic models

Then run your coding agent from the directory where you installed (for local installs) or from anywhere (for global installs).

Available Skills (13)

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)

Deep Agents

• •deep-agents-core - Agent architecture, harness setup, and SKILL.md format
• •deep-agents-memory - Memory, persistence, filesystem middleware
• •deep-agents-orchestration - Subagents, task planning, human-in-the-loop
• •managed-deep-agents - Managed Deep Agents: deploy with the CLI, use the SDKs, stream runs, connect MCP tools, and build React useStream UIs

LangChain

• •langchain-fundamentals - Agents with create_agent, tools, structured output, middleware basics
• •langchain-middleware - Human-in-the-loop approval, custom middleware, Command resume patterns
• •langchain-rag - RAG pipeline (document loaders, embeddings, vector stores)

LangGraph

• •langgraph-fundamentals - StateGraph, nodes, edges, state reducers
• •langgraph-persistence - Checkpointers, thread_id, cross-thread memory
• •langgraph-cli - CLI lifecycle: scaffold, dev, build, deploy, langgraph.json config
• •langgraph-human-in-the-loop - Interrupts, human review, approval workflows