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".
Detected risks:
deploy-to-vercel is a reusable AI skill focused on a specific workflow. name: deploy-to-vercel
The skill packages instructions, conventions, and task-specific guidance so an agent can execute the job more consistently. 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". Deploy any project to Vercel. **Always deploy as preview** (not production) unless the user explicitly asks for production. The goal is to get the user into the best long-term setup: their project linked to Vercel with git-push deploys. Every method below tries to move the user closer to that state.
In practice, this skill is best suited for users who need repeatable execution with fewer setup steps and less ambiguity. Run all four checks before deciding which method to use: git remote get-url origin 2>/dev/null cat .vercel/project.json 2>/dev/null || cat .vercel/repo.json 2>/dev/null vercel whoami 2>/dev/null
deploy-to-vercel helps agents follow a focused workflow described in the source documentation, reducing ambiguity and keeping execution aligned with the intended task.
Use it when the task matches the workflow, domain, or operating rules described in the skill documentation, especially when consistent execution matters.
The skill is constrained by the quality and scope of its source instructions. If the underlying documentation is incomplete, the agent may still need extra context or manual validation.
Quick Setup:
.claude/skills/Repository
vercel-labs/agent-skills