Why use Vercel Sandbox instead of standard serverless functions?

Standard serverless functions have strict binary size limits that make bundling Chromium difficult; Vercel Sandbox provides a dedicated Linux VM environment to run full browser instances without these constraints.

Is this skill compatible with local development?

Yes, by configuring VERCEL_TOKEN, VERCEL_TEAM_ID, and VERCEL_PROJECT_ID environment variables, the skill can authenticate with Vercel's infrastructure from your local machine.

How do I ensure fast execution times for browser tasks?

By using Sandbox Snapshots, you can pre-install Chromium and all system dependencies into a VM image, reducing startup time from roughly 30 seconds to under one second.

Does it support authenticated browser sessions?

Yes, because the sandbox environment can persist between commands within a session, you can perform logins, handle cookies, and execute multi-step workflows in a single lifecycle.

Vercel Sandbox Browser Automation

Name: Vercel Sandbox Browser Automation
Author: vercel-labs

byvercel-labs

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26,977

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Automatización de Navegadores

Executes headless Chrome and agent-browser within ephemeral Vercel Sandbox microVMs to enable powerful web automation for Vercel-deployed apps.

The Vercel Sandbox skill allows Claude to perform sophisticated browser automation by leveraging Vercel's microVM infrastructure. This approach bypasses common serverless limitations such as binary size constraints and execution timeouts by running agent-browser in isolated Linux environments. It is specifically designed for frameworks like Next.js, SvelteKit, and Nuxt, providing a scalable way to handle web scraping, automated form filling, and accessibility audits. With support for sandbox snapshots, it enables sub-second VM startup times, making browser-based tasks fast and efficient within a production-grade CI/CD ecosystem.

Características Principales

01Bypass Vercel serverless binary size and memory limitations

02Sub-second startup times via pre-built sandbox snapshots

03Full compatibility with Next.js, SvelteKit, Nuxt, and Remix

04Persistent browser sessions across multiple commands

05Isolated Linux microVMs for secure headless Chrome execution

0626,977 GitHub stars

Casos de Uso

01High-performance web scraping and dynamic data collection from serverless functions

02Scheduled background workflows for monitoring and multi-step UI automation

03Automated generation of website screenshots and accessibility tree snapshots

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add vercel-labs/agent-browser vercel-sandbox

For use in Claude.ai and ChatGPT

Características Principales

01Bypass Vercel serverless binary size and memory limitations

02Sub-second startup times via pre-built sandbox snapshots

03Full compatibility with Next.js, SvelteKit, Nuxt, and Remix

04Persistent browser sessions across multiple commands

05Isolated Linux microVMs for secure headless Chrome execution

0626,977 GitHub stars

Casos de Uso

01High-performance web scraping and dynamic data collection from serverless functions

02Scheduled background workflows for monitoring and multi-step UI automation

03Automated generation of website screenshots and accessibility tree snapshots