Functions

OrganizationPopular

browserbase

functions

Deploy serverless browser automation as cloud functions using Browserbase. Use when the user wants to deploy browser automation to run on a schedule or cron, create a webhook endpoint for browser tasks, run automation in the cloud instead of locally, or asks about Browserbase Functions.

Overview

Publisher	browserbase
Repository	`skills`
Skill name	`functions`
Stars	3.7K
Forks	241
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by browserbase on GitHub. Read the source before you install it.

Installation

Install the Functions AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/browserbase/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/functions .claude/skills/functions

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Functions in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Functions on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Functions is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Browserbase Functions

Deploy serverless browser automation using the official browse CLI.

Prerequisites

Get an API key from: https://browserbase.com/settings

bash
export BROWSERBASE_API_KEY="your_api_key"

Creating a Function Project

1. Initialize

bash
browse functions init my-function
cd my-function

This creates:


my-function/
├── package.json
├── index.ts        # Your function code
└── .env            # Add credentials here

2. Add Credentials to .env

bash
echo "BROWSERBASE_API_KEY=$BROWSERBASE_API_KEY" >> .env

3. Install Dependencies

bash
pnpm install

Function Structure

typescript
import { defineFn } from "@browserbasehq/sdk-functions";
import { chromium } from "playwright-core";

defineFn("my-function", async (context) => {
  const { session, params } = context;

  // Connect to browser
  const browser = await chromium.connectOverCDP(session.connectUrl);
  const page = browser.contexts()[0]!.pages()[0]!;

  // Your automation
  await page.goto(params.url || "https://example.com");
  const title = await page.title();

  // Return JSON-serializable result
  return { success: true, title };
});

Key objects:

context.session.connectUrl - CDP endpoint to connect Playwright
context.params - Input parameters from invocation

Development Workflow

1. Start Dev Server

bash
browse functions dev index.ts

Server runs at http://127.0.0.1:14113

2. Test Locally

bash
curl -X POST http://127.0.0.1:14113/v1/functions/my-function/invoke \
  -H "Content-Type: application/json" \
  -d '{"params": {"url": "https://news.ycombinator.com"}}'

3. Iterate

The dev server auto-reloads on file changes. Use console.log() for debugging - output appears in the terminal.

Deploying

bash
browse functions publish index.ts

Output:


Function published successfully
Build ID: xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
Function ID: xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx

Save the Function ID - you need it to invoke.

Quick Reference

Command	Description
`browse functions init <name>`	Create new project
`browse functions dev <file>`	Start local dev server
`browse functions publish <file>`	Deploy to Browserbase

For invocation examples, common patterns, and troubleshooting, see REFERENCE.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

REFERENCE.md4 KB

Frequently asked questions

What does the Functions AI skill do?

Why use Functions on TypingMind?

Because you install it once and use it with any model. Functions is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Functions in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/browserbase/skills/tree/main/skills/functions. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Functions?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Functions?

As many as you like. As long as a model supports skills, you can use Functions with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Functions AI skill free?

Yes. It is published on GitHub by browserbase under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Browserbase Functions

Prerequisites

Creating a Function Project

1. Initialize

2. Add Credentials to .env

3. Install Dependencies

Function Structure

Development Workflow

1. Start Dev Server

2. Test Locally

3. Iterate

Deploying

Quick Reference

Bundled files

Frequently asked questions

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