Vercel Deploy
Official openai skill covering OpenAI, Vercel, deployment for building AI and machine learning applications.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add openai-vercel-deploy npx -- -y @trustedskills/openai-vercel-deploy
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"openai-vercel-deploy": {
"command": "npx",
"args": [
"-y",
"@trustedskills/openai-vercel-deploy"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The openai-vercel-deploy skill enables AI agents to deploy applications directly to Vercel, a serverless platform for frontend and full-stack developers. It streamlines the deployment process by integrating with Vercel's API, allowing users to push code changes automatically or on-demand.
When to use it
- Automating deployments of web apps after code updates in a CI/CD pipeline.
- Deploying static sites or Next.js applications quickly without manual intervention.
- Setting up continuous deployment workflows for AI-powered frontend tools.
Key capabilities
- Integration with Vercel's API for seamless deployment.
- Support for deploying projects from local directories or remote repositories.
- Automation of deployment triggers based on code changes or user commands.
Example prompts
- "Deploy the latest version of my Next.js app to Vercel."
- "Push the current branch to a new production environment on Vercel."
- "Automate deployment every time I commit to the main branch."
Tips & gotchas
- Ensure your project is configured correctly for Vercel, including
vercel.jsonor.envfiles if needed. - API tokens must be securely managed and not exposed in public repositories or logs.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🏢 Official
Published by the company or team that built the technology.