Vercel Deploy
OpenAIOfficialCreated by VercelDistributed by OpenAI
- Skill
- Workflow
- Cloud and DevOps
- MIT
- Low risk
- Has scripts
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill enables the deployment of projects to Vercel. It supports both standard CLI-based deployments and a fallback script method for environments where authentication or CLI installation may be missing. The skill prioritizes preview deployments by default and provides mechanisms to handle network-restricted environments through escalated permissions.
What it does
- Checks for existing Vercel CLI installation
- Executes deployments to Vercel with configurable timeouts
- Supports preview deployments by default
- Provides a fallback script for automated packaging and deployment
- Handles production deployment requests when explicitly requested
- Returns deployment and claim URLs to the user
When to use it
- When a user requests to deploy an application or website
- When a user needs a preview link for their current project
- When a user wants to push their code live to Vercel
- When deployment fails due to network restrictions and requires escalated permissions
Advantages
- Automates the deployment process for Vercel projects
- Includes a fallback mechanism for environments without pre-configured credentials
- Provides clear guidance on handling network-restricted deployment scenarios
- Supports both preview and production deployment workflows
Usage examples
- “Deploy my app to Vercel.”
- The agent checks for the Vercel CLI, initiates a preview deployment, and returns the preview URL to the user.
- “Push this project live to production.”
- The agent executes the Vercel deployment command with the production flag and provides the resulting URL.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/openai/vercel-deploy/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip vercel-deploy.zip -d .agents/skills
Documentation by Vercel
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 vercelIf
vercelis installed, run this (with a 10 minute timeout):
vercel deploy [path] -yImportant: Use a 10 minute (600000ms) timeout for the deploy command since builds can take a while.
If
vercelis 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.tgzThe 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 -yOutput
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
- ATTRIBUTION.mdAdded by AutoGineer952 B
- LICENSE.txt1.0 KiB
- SKILL.md2.6 KiB
- agents/openai.yaml306 B
- assets/vercel-small.svg243 B
- assets/vercel.png788 B
- scripts/deploy.shScript8.7 KiB
Requirements and compatibility
Written for: OpenAI Codex
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
- Vercel
- Publisher
- OpenAI (Official)
- Distributed by
- OpenAI
- Source
- openai/skills · skills/.curated/vercel-deploy · commit 49f948f
- Licence
- MIT License (redistribution allowed)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Vercel or OpenAI.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download vercel-deploy.zip