vercel

Every slash command in this plugin follows a consistent structure so that the AI agent produces reliable, verifiable results. When authoring or updating a command file, include **all** of the sections below.

Bootstrap a repository with Vercel-linked resources by running preflight checks, provisioning integrations, verifying env keys, and then executing db/dev startup commands safely.

Deploy the current project to Vercel. Pass "prod" or "production" as argument to deploy to production. Default is preview deployment.

Discover and install Vercel Marketplace integrations. Use to find databases, CMS, auth providers, and other services available on the Vercel Marketplace.

Show the status of the current Vercel project — recent deployments, linked project info, and environment overview.

Specializes in architecting AI-powered applications on Vercel — choosing between AI SDK patterns, configuring providers, building agents, setting up durable workflows, and integrating MCP servers. Use when designing AI features, building chatbots, or creating agentic applications.

Specializes in Vercel deployment strategies, CI/CD pipelines, preview URLs, production promotions, rollbacks, environment variables, and domain configuration. Use when troubleshooting deployments, setting up CI/CD, or optimizing the deploy pipeline.

Specializes in optimizing Vercel application performance — Core Web Vitals, rendering strategies, caching, image optimization, font loading, edge computing, and bundle size. Use when investigating slow pages, improving Lighthouse scores, or optimizing loading performance.

Automated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass/fail before continuing.

Browser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.

AI Elements component library guidance — pre-built React components for AI interfaces built on shadcn/ui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.

Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.

AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation