Skill Detail

Vercel Agent Browser

Vercel Agent Browser is a browser automation CLI built specifically for AI agents. It gives agents a fast, scriptable way to open pages, inspect accessibility snapshots, click elements, fill forms, capture screenshots, and manage browser state from the command line.

Browser AutomationMulti-Framework
Browser Automation Multi-Framework Security Reviewed
Tool match: agent-browser โญ 29.1k GitHub stars โฌ‡ 601.9k/wk npm
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill vercel-agent-browser Copy
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
Node.js, Chrome or Chrome for Testing
Install & setup
npm install -g agent-browser && agent-browser install
Author
Vercel Labs
Publisher
Company
Last updated
Apr 5, 2026
Quick brief

Vercel Agent Browser is a browser automation CLI from Vercel Labs designed for AI-agent workflows rather than traditional end-to-end testing alone. The project centers on a command-line interface called agent-browser that can open websites, generate accessibility-tree snapshots, locate interactive elements semantically, click or type into controls, capture screenshots and PDFs, inspect network activity, and manage cookies, tabs, storage, and dialogs. That makes it a strong fit for skills that need to drive real websites from an agent runtime without forcing the user to wire up a custom Playwright layer.

How it works

What this skill actually does

The upstream project publishes both an official GitHub repository and an npm package, and the README documents installation through npm, Homebrew, Cargo, or source builds. The recommended install flow is npm install -g agent-browser followed by agent-browser install to download Chrome for Testing or reuse an existing Chrome-compatible browser. The tool also documents Linux dependency bootstrap support through agent-browser install --with-deps.

From an integration point of view, Agent Browser works well anywhere a coding or automation agent needs deterministic browser control: website QA, form automation, authenticated workflows, extraction of page text and DOM state, screenshot capture, and debugging of browser-side behavior. Its command surface is broad enough to support simple one-shot tasks and longer agent loops, and the project remains actively maintained with recent upstream activity, a permissive Apache-2.0 license, and substantial adoption. For ASE, this clearly maps to browser automation work with a real, tool-anchored job-to-be-done.