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". Do NOT use for deploying to Netlify, Cloudflare, or Render (use their respective skills).
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionvercel-deployExecute the skills CLI command in your project's root directory to begin installation:
Fetches vercel-deploy from tech-leads-club/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate vercel-deploy. Access via /vercel-deploy in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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| name | vercel-deploy |
| 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". Do NOT use for deploying to Netlify, Cloudflare, or Render (use their respective skills). |
| metadata | author: github.com/openai/skills version: '1.0.0' |
Deploy any project to Vercel instantly. Always deploy as preview (not production) unless the user explicitly asks for production.
sandbox_permissions=require_escalated.Just 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 that fails with "No existing credentials found", use the fallback method below.
If CLI fails with auth error, use the deploy script:
# Deploy current directory
bash scripts/deploy.sh
# Deploy specific project
bash scripts/deploy.sh /path/to/project
# Deploy existing tarball
bash 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."
Only if user explicitly asks:
vercel deploy [path] --prod -y
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.
If deployment fails due to network issues (timeouts, DNS errors, connection resets), rerun the deploy with escalated permissions (use sandbox_permissions=require_escalated). 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?
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
tech-leads-club/agent-skills
tech-leads-club/agent-skills
tech-leads-club/agent-skills
tech-leads-club/agent-skills
tech-leads-club/agent-skills
tech-leads-club/agent-skills
Useful defaults in vercel-deploy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
vercel-deploy has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: vercel-deploy is focused, and the summary matches what you get after install.
Keeps context tight: vercel-deploy is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for vercel-deploy matched our evaluation — installs cleanly and behaves as described in the markdown.
vercel-deploy has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: vercel-deploy is focused, and the summary matches what you get after install.
vercel-deploy reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend vercel-deploy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
vercel-deploy is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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