How do I install langchain-skills?

Run these in Claude Code: /plugin marketplace add langchain-ai/langchain-skills then /plugin install langchain-skills@langchain-skills. Then prompt normally.

Does langchain-skills auto-invoke its skills?

Yes. It ships a FLOW.md router that Flowy's hook fires, so the matching skill runs as you prompt. You never name a skill.

Is langchain-skills free?

Yes. Flowy is free and open source, with nothing gated. You can read every skill in full before you install.

Development

Auto-invokedPlugin

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.

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langchain-ai@langchain-ai

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Install on Claude Code

The plugin
> /plugin marketplace add langchain-ai/langchain-skills
> /plugin install langchain-skills@langchain-skills
Auto-invocation
> /plugin marketplace add flowy-sh/flowy-core
> /plugin install flowy-core
> /plugin install flowy-langchain-skills
Then activate
> /flowy-langchain-skills:activate

Stats

Python TypeScript JavaScript React Bash

+7 tags

Docker Vercel GitHub Anthropic OpenAI LangChain MCP

1,240

Stars

Forks

Active

Maintenance

TypeScript

Language

4d ago

Last commit

8mo ago

Created

Repo: langchain-ai/langchain-skills

What's inside

Skill(22 skills)

/deep-agents-coreINVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options./deep-agents-memoryINVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing./deep-agents-orchestrationINVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.

README

Read on GitHub

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):

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

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:

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).

Eval Engineering

To install only the eval-engineering skill:

npx skills add langchain-ai/langchain-skills --skill eval-engineering --yes

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:

Use the eval-engineering skill to create a new eval Task for this project. Review the current repository and existing evals. Traces for this agent can be found here [optional Tracing Project/Location].

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 provider/model (default anthropic:claude-sonnet-5), new directory, provider API key only:

langchain-python-quickstart / langchain-typescript-quickstart → Python / JS (weather)
langgraph-python-quickstart / langgraph-typescript-quickstart → Python / JS (math)
deepagents-python-quickstart / deepagents-typescript-quickstart → Python / JS (research; provider web search instead of Tavily)

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

Evaluation

eval-engineering - Design and audit Harbor Tasks while building reusable project World knowledge with human review

Utilities

swarm - Dispatch independent work items in parallel and aggregate the results

File tree

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FAQ

langchain-skills is a Claude Code plugin of 22 hand-picked skills with a FLOW.md router. Install it once and the right skill fires as you prompt, with no slash command to remember. It is built for development work. It includes deep-agents-core, deep-agents-memory, deep-agents-orchestration. Free and open source.

What is 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.
How do I install langchain-skills?: Run these in Claude Code: /plugin marketplace add langchain-ai/langchain-skills then /plugin install langchain-skills@langchain-skills. Then prompt normally.
Does langchain-skills auto-invoke its skills?: Yes. It ships a FLOW.md router that Flowy's hook fires, so the matching skill runs as you prompt. You never name a skill.
Is langchain-skills free?: Yes. Flowy is free and open source, with nothing gated. You can read every skill in full before you install.

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