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From langchain-skills
Scaffolds a minimal local LangChain agent in TypeScript from the official quickstart. Asks for provider/model choice and sets up local environment with Node 22+.
How this skill is triggered — by the user, by Claude, or both
Slash command
/langchain-skills:langchain-typescript-quickstartThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Follow the live docs — do not invent an alternate API from memory:
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+.
Apply these on top of the quickstart (they keep setup minimal and model-agnostic):
Ask which provider/model to use. Showcase that LangChain is model-agnostic. Suggested prompt:
Which model should this agent use? Pass a
provider:modelstring — 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).
Create a new directory (e.g. langchain-agent/) and do all work there — do not pollute the open project.
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.
Install the provider package needed for their model if the quickstart's base install isn't enough.
Run the example, show output, then stop. Point to langchain-fundamentals for next steps.
npx claudepluginhub langchain-ai/langchain-skills --plugin langchain-skillsScaffolds a minimal local LangGraph agent in TypeScript following the official quickstart. Guides through model selection, setup, and running a math agent example.
Initializes a new LangChain TypeScript project with Bun/NPM package init, core dependencies like @langchain/core and @langchain/openai, tsconfig.json, example ReAct agent, .env.example, and scripts.
Builds and deploys AI agents using CloudBase Agent SDK (TypeScript/Python). Implements AG-UI protocol for streaming agent-UI communication. Use for deploying agent servers, using LangGraph/LangChain/CrewAI adapters, or building UI clients.