vercel-plugin

Access and test Vercel deployments protected by Vercel Authentication, SSO, or Deployment Protection. Use when curl, agent-browser, Playwright, or another automated request reaches a Vercel login or protection page; when a protected preview or production URL returns 401 or 403; when TRUSTED_SOURCES_ENVIRONMENT_MISMATCH appears; or when choosing between `vercel curl` and the `x-vercel-trusted-oidc-idp-token` header.

Vercel AI Gateway guidance for setup, model discovery, authentication, routing, fallbacks, virtual models, evaluation models, BYOK, budgets, spend reporting, observability, compatible APIs, and coding-agent configuration. Use when adding AI Gateway to an app, migrating provider calls, choosing models or providers, centralizing model configuration, evaluating application state, debugging gateway requests, or running `vercel ai-gateway` commands.

Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".

Vercel AI SDK expert guidance. Use when building AI-powered features — chat interfaces, text generation, structured output, tool calling, agents, MCP integration, streaming, embeddings, reranking, image generation, or working with any LLM provider.

Authentication integration guidance — Clerk (native Vercel Marketplace), Better Auth, Descope, and Auth0 setup for Next.js applications, plus Sign in with Vercel, Vercel Passport, and Vercel KMS. Covers server config, route handlers, proxy.ts auth patterns, sign-in/sign-up flows, and Marketplace provisioning. Use when implementing user authentication, sessions, protected routes, or protecting deployments.

Advanced AI agent benchmark scenarios that push Vercel's cutting-edge platform features — Workflow SDK, AI Gateway, MCP, Chat SDK, Queues, Flags, Sandbox, and multi-agent orchestration. Designed to stress-test skill injection for complex, multi-system builds.

End-to-end benchmark suite for vercel-plugin. Runs realistic projects through skill injection, launches dev servers, verifies everything works, analyzes conversation logs, and produces an improvement report for overnight self-improvement loops.

Run vercel-plugin eval scenarios in Vercel Sandboxes instead of local WezTerm panels. Provisions ephemeral microVMs with Claude Code + plugin pre-installed, runs benchmark prompts, extracts hook artifacts, and produces coverage reports.

Create and launch benchmark test projects to exercise vercel-plugin skill injection across realistic scenarios. Sets up isolated directories, installs the plugin, and spawns WezTerm panes running Claude Code with crafted prompts.

Project bootstrapping orchestrator for repos that depend on Vercel-linked resources (databases, auth, and managed integrations). Use when setting up or repairing a repository so linking, environment provisioning, env pulls, and first-run db/dev commands happen in the correct safe order.

Default guidance for building AI agents. Use for generic requests to build, create, scaffold, design, architect, or implement an AI agent, agent app, tool-calling agent, durable agent, multi-agent system, or scheduled agent.

Debug Vercel CDN caching — cache hit rate, stale content, revalidation behavior, ISR + PPR, per-request cache reasons (cacheReason) and PPR state (ppr_state), and costs.

Vercel Chat SDK expert guidance. Use when building multi-platform chat bots — Slack, Telegram, Microsoft Teams, Discord, Google Chat, GitHub, Linear — with a single codebase. Covers the Chat class, adapters, threads, messages, cards, modals, streaming, state management, and webhook setup.

Build multi-platform chat bots with Chat SDK (`chat` npm package). Use when developers want to scaffold a bot with create-chat-sdk, build a Slack, Teams, Google Chat, Discord, Telegram, GitHub, Linear, or WhatsApp bot, handle mentions, direct messages, subscribed threads, reactions, slash commands, cards, modals, files, or AI streaming, set up webhook routes or multi-adapter bots, send rich cards or streamed AI responses to chat platforms, or build a custom adapter or state adapter.

Backend architecture guidance. Use when planning, building, or migrating an API or backend; choosing between Functions, Services, containers, Daemons, Workflow, Queues, and Marketplace databases; or selecting a supported backend framework or runtime.

Emit and query Vercel Custom Metrics. Use when instrumenting application or business measurements in Vercel Functions, using metric() from @vercel/functions, choosing metric names and attributes, or querying emitted values with vc metrics.

Vercel Daemons guidance — long-running background workers built from a Dockerfile and declared under the `daemons` key in vercel.json. Use when running queue consumers, Celery/Sidekiq/BullMQ workers, workflow workers, or job runners next to an app on Vercel; configuring daemon instances per region, memory, or command; handling SIGTERM; or choosing between Daemons, Functions, Queues, and Workflows.

Vercel deployment and CI/CD expert guidance. Use when deploying, promoting, rolling back, inspecting deployments, building with --prebuilt, or configuring CI workflow files for Vercel.

Search, register, connect, transfer, and renew domain names on Vercel using the CLI or Domains Registrar API. Use for domain availability and pricing, custom domains, DNS records, nameservers, ownership verification, and domain orders.

Vercel environment variable expert guidance. Use when working with .env files, vercel env commands, Secret or Config variable types, OIDC tokens, or managing environment-specific configuration.