Skills/Vercel Deploy

Vercel Deploy

Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".

@openai
openaicodexmit
Recommended actionRolled up from the independent trust signals below. Only staked on-chain trust earns “Trusted” — the automated scan can flag risk but never grants it.
Review
Advisory findings or unestablished signals to weigh before installing.
v1·0 installs·Published Jun 18, 2026

What it does

Deploys applications and websites to Vercel, defaulting to preview deployments unless production is specified.

  • Deploy to Vercel
  • Preview deployments
  • Production deploys
  • Fallback deployment
Skill Files
6 files13.6 KBtree 38f0e8d16c...
vercel-deploy/
SKILL.mdf4a6cbfbb378...
skill metadata
name: vercel-deploy
description: Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".

Vercel Deploy

Deploy any project to Vercel instantly. Always deploy as preview (not production) unless the user explicitly asks for production.

Prerequisites

  • Check whether the Vercel CLI is installed without escalated permissions (for example, command -v vercel).
  • Only escalate the actual deploy command if sandboxing blocks the deployment network calls (sandbox_permissions=require_escalated).
  • The deployment might take a few minutes. Use appropriate timeout values.

Quick Start

  1. Check whether the Vercel CLI is installed (no escalation for this check):
command -v vercel
  1. If vercel is installed, run this (with a 10 minute timeout):
vercel deploy [path] -y

Important: Use a 10 minute (600000ms) timeout for the deploy command since builds can take a while.

  1. If vercel is not installed, or if the CLI fails with "No existing credentials found", use the fallback method below.

Fallback (No Auth)

If CLI fails with auth error, use the deploy script:

skill_dir="<path-to-skill>"

# Deploy current directory
bash "$skill_dir/scripts/deploy.sh"

# Deploy specific project
bash "$skill_dir/scripts/deploy.sh" /path/to/project

# Deploy existing tarball
bash "$skill_dir/scripts/deploy.sh" /path/to/project.tgz

The script handles framework detection, packaging, and deployment. It waits for the build to complete and returns JSON with previewUrl and claimUrl.

Tell the user: "Your deployment is ready at [previewUrl]. Claim it at [claimUrl] to manage your deployment."

Production Deploys

Only if user explicitly asks:

vercel deploy [path] --prod -y

Output

Show the user the deployment URL. For fallback deployments, also show the claim URL.

Do not curl or fetch the deployed URL to verify it works. Just return the link.

Troubleshooting

Escalated Network Access

If deployment fails due to network issues (timeouts, DNS errors, connection resets), rerun the actual deploy command with escalated permissions (use sandbox_permissions=require_escalated). Do not escalate the command -v vercel installation check. The deploy requires escalated network access when sandbox networking blocks outbound requests.

Example guidance to the user:

The deploy needs escalated network access to deploy to Vercel. I can rerun the command with escalated permissions—want me to proceed?
Developer & API
Install
curl -sL https://agentvouch.xyz
/api/skills/fa781093-df6b-4451-99ab-e84baeed226b/raw -o SKILL.md
Agent API
GET /api/skills/fa781093-df6b-4451-99ab-e84baeed226b/raw

Auth: Authorization: Bearer sk_... or wallet signature. Get API key →

Version History
v1latest

Mirrored from openai/skills

Jun 18, 2026