Vercel deploy

Skill nota-america/forgecat-agent-profiles/profiles/openai/skills/openai_skills_vercel-deploy/for-forgecat/skills/vercel-deploy

Production-ready AI agent profiles for Claude Code, Cursor, and Codex. Search, install, and contribute ForgeCat packages.

Install

npx -y skills add nota-america/forgecat-agent-profiles --skill vercel-deploy

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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".

SKILL.md

2.6 KB, 550 tokens by cl100k_base, as published. Nobody here has run it

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

Check whether the Vercel CLI is installed (no escalation for this check):

command -v vercel

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.

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?

What ships with it: 3 files

9.7 KB alongside SKILL.md, 1 of them executable

assets/

vercel.png788 B
vercel-small.svg243 B

scripts/

deploy.shruns8.7 KB

Gives 0 of the 12 instructions most containers cloud skills give in 550 tokens

Counted across 607 of the 657 authors here whose files we hold, read 2026-08-07

Run containers as a non-root userin 66 of 607, across 46 files
Use multi-stage buildsin 53 of 607, across 44 files
Use Promise.all for independent operationsin 47 of 607, across 13 files
Import directly instead of barrel filesin 46 of 607, across 12 files
Use ternary instead of AND for conditionalsin 45 of 607, across 12 files
Use Set or Map for O(1) lookupsin 42 of 607, across 10 files
Create a .dockerignore filein 41 of 607, across 31 files
Read individual rule files for detailsin 39 of 607, across 9 files
Copy dependency files before source codein 36 of 607, across 23 files
Authenticate server actions like API routesin 35 of 607, across 7 files
Use next/dynamic for heavy componentsin 34 of 607, across 9 files
Use React.cache for per-request deduplicationin 34 of 607, across 10 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.