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Vercel Deploy

JetBrainsOfficialCreated by OpenAIDistributed by JetBrains

  • Skill
  • Workflow
  • Cloud and DevOps
  • MIT
  • Low risk
  • Has scripts
Download ZIP

From the author

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".
— the description by OpenAI

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The Vercel Deploy skill enables users to publish applications and websites directly to the Vercel platform. It supports both standard CLI-based deployment and a fallback script method for environments without pre-existing credentials. The skill is designed to handle preview deployments by default, with an option for production deployments upon explicit user request.

What it does

  • Checks for the presence of the Vercel CLI in the environment.
  • Executes deployment commands for projects or directories.
  • Provides a fallback script for environments lacking authenticated CLI access.
  • Returns preview and claim URLs to the user upon successful deployment.
  • Handles network-restricted environments by requesting escalated permissions when necessary.

When to use it

  • When you need to push a local application or website live to Vercel.
  • When you want to create a preview deployment for testing or sharing.
  • When you need to deploy a specific project directory or a pre-packaged tarball.
  • When a user explicitly requests a production deployment.

Advantages

  • Supports zero-configuration deployment workflows.
  • Includes a fallback mechanism that does not require pre-existing Vercel credentials.
  • Provides clear instructions for managing deployments via claim URLs.
  • Handles framework detection and packaging automatically via the provided script.

Usage examples

“Deploy my app to Vercel.”
The agent initiates the deployment process and provides a preview URL and a claim URL for the user.
“Push this project live to production.”
The agent executes the deployment command with the production flag to update the live site.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/jetbrains/vercel-deploy/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip vercel-deploy.zip -d .agents/skills

Documentation by OpenAI

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?

Files

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

What our scanner noticed· Low risk

  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
OpenAI
Publisher
JetBrains (Official)
Distributed by
JetBrains
Source
JetBrains/skills · vercel-deploy · commit 3f53782
Licence
MIT License (redistribution allowed)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by OpenAI or JetBrains.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download vercel-deploy.zip