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langchain-typescript-quickstart

langchain-typescript-quickstart

github.com/langchain-aiAgent workflows1.3k5.1k installsUpdated 3d ago
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About langchain-typescript-quickstart

A skill for building the LangChain TypeScript weather agent from the official quickstart. It guides model selection, isolated setup, and running the example.

Key features

  1. 01Official quickstart-based implementation
  2. 02Provider and model selection
  3. 03Creates work in a new directory
  4. 04Stores API key in .env
  5. 05Runs the weather agent example

Use cases

  1. 01Starting a LangChain TypeScript agent project
  2. 02Trying the weather agent with a chosen model

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/langchain-ai/langchain-skills --skill langchain-typescript-quickstart

After installing, type/langchain-typescript-quickstartin Claude Code to confirm it loaded.

Details

From the project README

LangChain TypeScript quickstart

Follow the live docs — do not invent an alternate API from memory:

https://docs.langchain.com/oss/javascript/langchain/quickstart

Fetch that page (Docs MCP or HTTP) and implement what it shows (weather agent + createAgent). Requires Node 22+.

Local setup constraints

Apply these on top of the quickstart (they keep setup minimal and model-agnostic):

  1. Ask which provider/model to use. Showcase that LangChain is model-agnostic. Suggested prompt:

    Which model should this agent use? Pass a provider:model string — e.g. openai:gpt-5.5, anthropic:claude-sonnet-5, google-genai:gemini-2.5-flash-lite. Default if you're unsure: anthropic:claude-sonnet-5.

    Swap the quickstart's model string for their choice (or the default).

  2. Create a new directory (e.g. langchain-agent/) and do all work there — do not pollute the open project.

  3. Only secret: the provider API key in .env (gitignored). No LangSmith / Tavily unless they ask. Prefer they edit .env themselves — don't paste keys into chat.

  4. Install the provider package needed for their model if the quickstart's base install isn't enough.

  5. Run the example, show output, then stop. Point to langchain-fundamentals for next steps.

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