vercel-sandbox
Headless Chrome browser automation inside ephemeral Vercel Sandbox microVMs for any Vercel-deployed framework.
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What it does
Spins up isolated Linux VMs on demand to run agent-browser commands, then shuts down automatically; works with Next.js, SvelteKit, Nuxt, Remix, Astro, and other Vercel frameworks
Supports multi-step workflows with persistent browser sessions across sequential commands (navigation, form filling, screenshots, accessibility snapshots)
Includes sandbox snapshots for sub-second s
Installation Guide
How to use vercel-sandbox on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
vercel-sandbox
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches vercel-sandbox from vercel-labs/agent-browser and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate vercel-sandbox. Access via /vercel-sandbox in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Browser Automation with Vercel Sandbox
Run agent-browser + headless Chrome inside ephemeral Vercel Sandbox microVMs. A Linux VM spins up on demand, executes browser commands, and shuts down. Works with any Vercel-deployed framework (Next.js, SvelteKit, Nuxt, Remix, Astro, etc.).
Dependencies
pnpm add @vercel/sandbox
The sandbox VM needs system dependencies for Chromium plus agent-browser itself. Use sandbox snapshots (below) to pre-install everything for sub-second startup.
Core Pattern
import { Sandbox } from "@vercel/sandbox";
// System libraries required by Chromium on the sandbox VM (Amazon Linux / dnf)
const CHROMIUM_SYSTEM_DEPS = [
"nss", "nspr", "libxkbcommon", "atk", "at-spi2-atk", "at-spi2-core",
"libXcomposite", "libXdamage", "libXrandr", "libXfixes", "libXcursor",
"libXi", "libXtst", "libXScrnSaver", "libXext", "mesa-libgbm", "libdrm",
"mesa-libGL", "mesa-libEGL", "cups-libs", "alsa-lib", "pango", "cairo",
"gtk3", "dbus-libs",
];
function getSandboxCredentials() {
if (
process.env.VERCEL_TOKEN &&
process.env.VERCEL_TEAM_ID &&
process.env.VERCEL_PROJECT_ID
) {
return {
token: process.env.VERCEL_TOKEN,
teamId: process.env.VERCEL_TEAM_ID,
projectId: process.env.VERCEL_PROJECT_ID,
};
}
return {};
}
async function withBrowser<T>(
fn: (sandbox: InstanceType<typeof Sandbox>) => Promise<T>,
): Promise<T> {
const snapshotId = process.env.AGENT_BROWSER_SNAPSHOT_ID;
const credentials = getSandboxCredentials();
const sandbox = snapshotId
? await Sandbox.create({
...credentials,
source: { type: "snapshot", snapshotId },
timeout: 120_000,
})
: await Sandbox.create({ ...credentials, runtime: "node24", timeout: 120_000 });
if (!snapshotId) {
await sandbox.runCommand("sh", [
"-c",
`sudo dnf clean all 2>&1 && sudo dnf install -y --skip-broken ${CHROMIUM_SYSTEM_DEPS.join(" ")} 2>&1 && sudo ldconfig 2>&1`,
]);
await sandbox.runCommand("npm", ["install", "-g", "agent-browser"]);
await sandbox.runCommand("npx", ["agent-browser", "install"]);
}
try {
return await fn(sandbox);
} finally {
await sandbox.stop();
}
}
Screenshot
The screenshot --json command saves to a file and returns the path. Read the file back as base64:
export async function screenshotUrl(url: string) {
return withBrowser(async (sandbox) => {
await sandbox.runCommand("agent-browser", ["open", url]);
const titleResult = await sandbox.runCommand("agent-browser", [
"get", "title", "--json",
]);
const title = JSON.parse(await titleResult.stdout())?.data?.title || url;
const ssResult = await sandbox.runCommand("agent-browser", [
"screenshot", "--json",
]);
const ssPath = JSON.parse(await ssResult.stdout())?.data?.path;
const b64Result = await sandbox.runCommand("base64", ["-w", "0", ssPath]);
const screenshot = (await b64Result.stdout()).trim();
await sandbox.runCommand("agent-browser", ["close"]);
return { title, screenshot };
});
}
Accessibility Snapshot
export async function snapshotUrl(url: string) {
return withBrowser(async (sandbox) => {
await sandbox.runCommand("agent-browser", ["open", url]);
const titleResult = await sandbox.runCommand("agent-browser", [
"get", "title", "--json",
]);
const title = JSON.parse(awaitList & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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Reviews
- FFatima Brown★★★★★Dec 24, 2024
Keeps context tight: vercel-sandbox is the kind of skill you can hand to a new teammate without a long onboarding doc.
- SShikha Mishra★★★★★Dec 12, 2024
Keeps context tight: vercel-sandbox is the kind of skill you can hand to a new teammate without a long onboarding doc.
- OOlivia Liu★★★★★Dec 12, 2024
I recommend vercel-sandbox for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- FFatima Gill★★★★★Dec 8, 2024
We added vercel-sandbox from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- YYusuf Park★★★★★Nov 15, 2024
vercel-sandbox has been reliable in day-to-day use. Documentation quality is above average for community skills.
- BBenjamin Okafor★★★★★Nov 7, 2024
vercel-sandbox fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- RRahul Santra★★★★★Nov 3, 2024
vercel-sandbox has been reliable in day-to-day use. Documentation quality is above average for community skills.
- YYusuf Ramirez★★★★★Nov 3, 2024
vercel-sandbox reduced setup friction for our internal harness; good balance of opinion and flexibility.
- OOlivia Zhang★★★★★Oct 26, 2024
We added vercel-sandbox from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- PPratham Ware★★★★★Oct 22, 2024
Solid pick for teams standardizing on skills: vercel-sandbox is focused, and the summary matches what you get after install.
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