skill

agents-langchain — Claude Code skill: what it does, how to install

Q: How do I install agents-langchain in Claude Code?

Run `npx claude-code-templates@latest --skill ai-research/agents-langchain`.

Q: Which Python version does agents-langchain require?

The base `langchain` installation requires Python 3.10+.

This skill guides LangChain projects with agents, chains, tool calls, and RAG. Use it when building chatbots, document Q&A, or autonomous workflows.

Install into Claude Code · claude-code-templates All methods and platforms ↓

npx claude-code-templates@latest --skill ai-research/agents-langchain

Open on GitHub

What agents-langchain does

agents-langchain covers the main pieces of LangChain applications: model adapters for OpenAI, Anthropic, and Google, prompt chains, ReAct-style agents, tool execution, and conversation memory. It also walks through retrieval-augmented generation with document loading, embeddings, and a vector store.

The included Python examples show model calls, agent setup, multi-turn memory, and a RAG pipeline. The base install uses langchain with Python 3.10+; provider-specific examples add langchain-openai or langchain-anthropic. The RAG example uses langchain-community, langchain-chroma, and OpenAI embeddings.

The OpenAI RAG path requires langchain-openai and access to OpenAI, while the vector store example relies on Chroma. That dependency choice matters before you copy the pipeline into a project.

What it helps with

build an agent that calls tools
switch between OpenAI, Anthropic, and Google models
keep conversation history across turns
assemble a document retrieval pipeline
return source documents with an answer

Example prompts for the agent

Create a Python ReAct agent with tools for web search and calculations.
Build a RAG pipeline that loads documents, splits them, and stores them in Chroma.
Add conversation memory and keep the message history across requests.

How to install agents-langchain

1claude-code-templates

npx claude-code-templates@latest --skill ai-research/agents-langchain

2Skills CLI (Vercel)

npx skills add davila7/claude-code-templates --skill agents-langchain -a claude-code

3Manually: put the files in place

~/.claude/skills/agents-langchain/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/agents-langchain/

Manually: put the files in place

.agents/skills/agents-langchain/SKILL.md

For all projects use ~/.agents/skills/

Manually: put the files in place

.cursor/skills/agents-langchain/SKILL.md

Cursor also reads .agents/skills/ and .claude/skills/

1GitHub CLI

gh skill install davila7/claude-code-templates agents-langchain

2Manually: put the files in place

.github/skills/agents-langchain/SKILL.md

Platform CLI

gemini skills install https://github.com/davila7/claude-code-templates --path cli-tool/components/skills/ai-research/agents-langchain

Manually: put the files in place

.devin/skills/agents-langchain/SKILL.md

The legacy .windsurf/skills/ path still works

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about agents-langchain

How do I install agents-langchain in Claude Code?

Run npx claude-code-templates@latest --skill ai-research/agents-langchain.

What does agents-langchain do?

It explains how to build LangChain applications with provider adapters, agents, chains, memory, tool calls, and RAG.

Which Python version does agents-langchain require?

The base langchain installation requires Python 3.10+.

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