Install
npx skills add vercel/vercel-plugin --skill vercel-services
Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.
As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-official
/plugin install vercel-plugin@vercel
This skill is part of the plugin “vercel-plugin”. In Claude Code the plugin installs it together with the plugin’s other skills, commands and hooks.
What does the vercel-services skill do?
Description from the SKILL.md in the source repository.
Works with Vercel
Questions about vercel-services
What does the vercel-services skill do?
Configure and troubleshoot Vercel Services for multiple frontends and backends in one project. Use when composing a polyglot or multi-service application on one Vercel deployment; defining the `services` key, service-targeted rewrites, or service bindings in `vercel.json`; or running all services with `vercel dev`.
How do I install vercel-services?
In a terminal: npx skills add vercel/vercel-plugin --skill vercel-services. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.
Which agents can use vercel-services?
Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.
Is vercel-services safe to use?
Our automatic check found patterns worth a look (see “Check”). That is not proof of anything bad – read the SKILL.md and scripts before installing.
Which tool is vercel-services for?
vercel-services comes from the makers of Vercel and helps your agent work with it.
More skills from vercel/vercel-plugin
Offload heavy builds, full test suites and parallel experiments from the local machine to Vercel Sandboxes with the `vercel sandbox` CLI.
Vercel Agent guidance — dashboard and Slack chat, code review, production investigation, approved actions, and product installation. Use when configuring or working with Vercel's AI assistant.
Vercel Runtime Cache API guidance — ephemeral per-region key-value cache with tag-based invalidation. Shared across Functions, Routing Middleware, and Builds. Use when implementing caching strategies beyond framework-level caching.
Vercel Routing Middleware guidance — request interception before cache, rewrites, redirects, personalization. Works with any framework. Supports Edge, Node.js, and Bun runtimes. Use when intercepting requests at the platform level.
Vercel's React and Next.js performance rules (70 rules in 8 categories ordered by impact - eliminating waterfalls, bundle size, server-side performance, client-side data fetching, re-renders, rendering performance, JavaScript performance, and advanced patterns). …
Vercel Queues guidance — durable topics with at-least-once delivery, independent consumer groups, retries, delays, and idempotency keys via @vercel/queue (JS) or vercel-queue (Python).
Vercel Marketplace expert guidance — discovering, installing, and managing third-party integrations via the `vercel integration` CLI.
Score how ready a website, domain, or public MCP endpoint is for AI agents using Is Agentic, and read or act on the resulting report.
Related skills in DevOps & Cloud
The HyperFrames CLI by job - scaffold, check, look at frames, edit the timeline, preview, render locally or in the cloud, publish, project history - plus reading its JSON and recovering from …
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent, managed harness agent …
Debug Azure production issues using AppLens, Azure Monitor, resource health, and safe triage, including evidence-only diagnosis without live access.
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow.
Build and troubleshoot Azure AI Search, Speech, OpenAI, and Document Intelligence apps. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, Speech SDK logs, session ID, result …
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead.
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying.
List, find, and show Azure resources across subscriptions or resource groups. Handles prompts like "list the websites in my subscription", "list my web apps", "show my app services", "list virtual machines", "list …