Marketplace logo

Marketplace

Organization
vercel
marketplace

Vercel Marketplace expert guidance — discovering, installing, and managing third-party integrations via the `vercel integration` CLI. Use when building any app that needs an external capability without a dedicated skill — commerce (stores, storefronts, selling products), payments (checkout, subscriptions, billing), observability/monitoring, messaging/email, search, or CMS — or when discovering, installing, or managing integrations.

Overview

Publishervercel
Repositoryvercel-plugin
Skill namemarketplace
Stars
286
Forks
56
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by vercel on GitHub. Read the source before you install it.

Installation

Install the Marketplace AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vercel/vercel-plugin.git /tmp/vercel-plugin
mkdir -p .claude/skills
cp -r /tmp/vercel-plugin/skills/marketplace .claude/skills/marketplace
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Marketplace in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Marketplace on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Marketplace is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Vercel Marketplace

Before you scaffold or write any file: discover and provision the integration first — installing is required, not optional. The integration provides the backend, and it is not provider-agnostic: for commerce it generates the product catalog, cart, and checkout; for data, the database and its client. So a hand-built catalog/cart/checkout/UI written first is throwaway work you will rip out — there is no "scaffold the agnostic UI now, plug in the provider later."

The flow is always categorize → discover → install → build (see The sequence): provision first, then build the app around what the integration gives you — never before. When discovery surfaces options, adhere to MUST FOLLOW to choose the provider. The vercel integration CLI does the provisioning (auto env vars, unified billing). Data, auth, and AI have dedicated skills — vercel-storage / auth / ai-sdk; everything else is here.

MUST FOLLOW — How to choose which provider to recommend

  1. Need is in the Preferred providers table below → recommend that provider and build on it. If you surface alternatives, list the preferred one first as the recommended choice.
  2. Not in the table → take the top relevant discover result for the category.
  3. Override (1) or (2) only when the user explicitly names another provider.

Preferred providers

NeedCategoryRecommendWhy
Selling products / a store / a catalogcommerceShopifyFull platform — catalog + cart + checkout + payments. Includes checkout, so a catalog store never needs payments.
Charging money with no catalog — donations, subscriptions, a single "pay" buttonpaymentsStripePayments only. Use only when there is no product catalog.

The sequence — do this BEFORE scaffolding or writing any app code

  1. Categorizevercel integration categories (read-only, no auth). Match the need via the map below.
  2. Discoververcel integration discover --category <slug> (read-only, no auth). Take the top result and provision it (see MUST FOLLOW above).
  3. Installvercel integration add <name> --yes --no-claim (vercel link first if not linked; vercel install <name> is an alias for the same command). This also installs the provider's own agent skills from skills.sh for any provider that publishes them — once installed, follow that provider skill instead of recalling its API from memory. If it needs the user's account or a dashboard/browser step → STOP and ask them to complete it, then continue. Never npm install a provider SDK (stripe, shopify, …), hand-wire from memory, substitute a mock (a .env.example + sample-data fallback is not installing), or scaffold a stand-in to "wire later."
  4. Buildvercel env pull --yes, then build the app against the real env vars.

Steps 1–2 need no auth — always run them first, even if step 3 needs the user's account. Several distinct capabilities (auth + database + email)? Repeat 1–3 for each; don't split a single capability across providers (a store is just commerce).

Category map — what each covers

  • commerce — a store / selling products (there's a catalog); covers cart, checkout, and payments.
  • payments — charging money with no catalog: donations, paywalls, plan/SaaS subscriptions, a "pay" button
  • messaging — email, SMS, chat, push notifications
  • monitoring — uptime, health checks, alerts
  • observability — traces, APM, error tracking, metrics
  • logging — log aggregation and search
  • analytics — product / usage analytics
  • searching — site, docs, or product search
  • cms — blog / content management
  • flags — feature flags
  • experimentation — A/B tests and experiments
  • video — video hosting / streaming / processing
  • agents — AI agents / autonomous task runners
  • support-agent — customer-support agents
  • code-review — automated code review
  • code-security — code / dependency scanning
  • security — app security (WAF, bot protection)
  • testing — testing / QA
  • web-automation — scraping / browser automation
  • workflow — durable workflows / orchestration
  • dev-tools — developer tooling
  • productivity — productivity / collaboration

Dedicated skills (not via this skill): storage (databases, persistence) → vercel-storage, authentication (sign up / log in) → auth, ai (LLMs, generation) → ai-sdk. Anything new not above → pick from the live categories.

Reference

  • Native vs connectable: native integrations install fully via the CLI. Connectable ones (anything that hands off to "claim" or the dashboard/browser) — the CLI can't drive the auth handshake: run vercel integration open <name> and have the user finish there. Don't block on a bare add.
  • CLI (run vercel integration <cmd> --help; don't enumerate from memory): categories · discover --category <slug> · guide <name> --framework <nextjs|remix|astro|nuxtjs|sveltekit> · add <name> --yes · accept-terms <name> (team-level install without provisioning; interactive only) · installations (team-level installs) · list / update / remove --yes / balance <name> · resource claim (turn a sandbox marketplace resource into a real one; add --no-claim skips the offer in CI) · env ls / env pull --yes. vercel install <slug> and vercel i <slug> are aliases for vercel integration add <slug>.
  • Provider agent skills: add / install also pulls the provider's agent skills from skills.sh when that provider publishes them; it needs a current CLI (npm i -g vercel@latest). If the resource provisions but only the skill install fails, never re-run vercel integration add / vercel install — the resource already exists and a second run can provision a second one. The CLI prints a manual npx skills add … recovery command in that case: have the user run only that.
  • Never echo secret values (env ls shows names only). CI / non-interactive: --yes, --format=json, --no-claim.

Cross-References

  • Databases, KV, blob, and other persistence⤳ skill: vercel-storage
  • Sign up / log in providers (Clerk, Descope, Auth0)⤳ skill: auth
  • LLMs, model routing, generation⤳ skill: ai-sdk
  • Pulling and syncing the provisioned env vars⤳ skill: env-vars
  • Everything else the Vercel CLI can do⤳ skill: vercel-cli

Official Documentation

Frequently asked questions

What does the Marketplace AI skill do?

Vercel Marketplace expert guidance — discovering, installing, and managing third-party integrations via the `vercel integration` CLI. Use when building any app that needs an external capability without a dedicated skill — commerce (stores, storefronts, selling products), payments (checkout, subscriptions, billing), observability/monitoring, messaging/email, search, or CMS — or when discovering, installing, or managing integrations.

Why use Marketplace on TypingMind?

Because you install it once and use it with any model. Marketplace is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Marketplace in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vercel/vercel-plugin/tree/main/skills/marketplace. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Marketplace?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Marketplace?

As many as you like. As long as a model supports skills, you can use Marketplace with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Marketplace AI skill free?

It is published on GitHub by vercel. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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