AI SummaryAutomates deployment of applications to Vercel with intelligent preview/production handling, enabling developers to instantly push their projects live without manual CLI configuration.
Install
# Add to your project root as SKILL.md curl -o SKILL.md "https://raw.githubusercontent.com/openai/skills/main/skills/.curated/vercel-deploy/SKILL.md"
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".
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.
Vercel Deploy
Deploy any project to Vercel instantly. Always deploy as preview (not production) unless the user explicitly asks for production.
Quick Start
• Check whether the Vercel CLI is installed (no escalation for this check): `bash command -v vercel ` • If vercel is installed, run this (with a 10 minute timeout): `bash vercel deploy [path] -y ` Important: Use a 10 minute (600000ms) timeout for the deploy command since builds can take a while. • 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: `bash skill_dir="<path-to-skill>"
Quality Score
Good
87/100
Trust & Transparency
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