Vercel Developer

Community

Sleestk

vercel-developer

Full-stack Vercel developer skill for deploying and managing Next.js applications. Covers Deployment (preview, production, Git integration, CLI), Environment Variables (per-environment config, NEXT_PUBLIC_ prefix, secrets), Domains (custom domains, DNS, SSL), Vercel CLI (deploy, env, link, pull, dev, logs), Serverless & Edge Functions, Storage (Blob, KV, Postgres), Caching (ISR, CDN, revalidation), and Integrations (Supabase, Stripe). Use this skill whenever the user mentions Vercel, deploying, vercel deploy, vercel CLI, preview deployment, production deployment, vercel env, vercel domains, serverless functions, edge functions, custom domains, or any task involving deploying a Next.js app. Even if the user just says "deploy this", "push to production", "go live", or "set up hosting" — trigger immediately. Also trigger for deploying a Stripe + Supabase + Next.js stack to Vercel.

Overview

Publisher	Sleestk
Repository	`Skills-Pipeline`
Skill name	`vercel-developer`
Stars	87
Forks	21
Bundled files	5
License	MIT
Links	Skill source Repository

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.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Sleestk on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Sleestk/Skills-Pipeline/tree/main/SaaS/vercel-developer
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.

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/Sleestk/Skills-Pipeline.git /tmp/Skills-Pipeline
mkdir -p .claude/skills
cp -r /tmp/Skills-Pipeline/SaaS/vercel-developer .claude/skills/vercel-developer

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vercel Developer 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 Vercel Developer 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 Vercel Developer 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 Developer Skill

A comprehensive skill for deploying and managing Next.js applications on Vercel. Covers five domains: Deployment, Environment Variables, Domains & SSL, CLI, and Platform Features.

Architecture


vercel-developer/
├── SKILL.md                          ← You are here (orchestrator)
├── references/
│   ├── deployment.md                 ← Deploy flows (Git, CLI, preview, production)
│   ├── environment-variables.md      ← Env var management, secrets, per-environment config
│   ├── domains-ssl.md                ← Custom domains, DNS, SSL certificates
│   ├── cli.md                        ← Full Vercel CLI command reference
│   └── platform-features.md          ← Storage, caching, functions, integrations

Routing

Deployment

If the request involves deploying an app, Git integration, preview deployments, production deploys, rollbacks, CI/CD, or the deployment pipeline: → Read references/deployment.md

Environment Variables

If the request involves setting env vars, the NEXT_PUBLIC_ prefix, secrets management, per-environment configuration (development/preview/production), or pulling env vars locally: → Read references/environment-variables.md

Domains & SSL

If the request involves custom domains, DNS configuration, SSL certificates, domain verification, or domain aliases: → Read references/domains-ssl.md

CLI

If the request involves Vercel CLI commands (vercel, vercel deploy, vercel env, vercel link, vercel pull, vercel dev, vercel logs, etc.): → Read references/cli.md

Platform Features

If the request involves Vercel-specific features like Serverless Functions, Edge Functions, Vercel Blob/KV/Postgres storage, caching (ISR, CDN), Web Application Firewall, Speed Insights, Analytics, or integrations: → Read references/platform-features.md

Multiple Domains

Many requests touch multiple domains. For example, "deploy my Next.js + Stripe + Supabase app with a custom domain" requires Deployment + Environment Variables + Domains & SSL. Read all relevant files.

Default Stack

Framework: Next.js (App Router)
Deployment target: Vercel
CLI: vercel (latest)
Language: TypeScript

Key Principles

Zero-config for Next.js. Vercel auto-detects Next.js and configures builds, serverless functions, and routing automatically.
Git push = deploy. Connect a GitHub/GitLab/Bitbucket repo. Every push to main triggers a production deployment. Every PR gets a preview deployment.
Environment variables must be set before deployment. Env vars are baked into the build. If you add one after deploying, you must redeploy.
NEXT_PUBLIC_ prefix exposes to the browser. Without this prefix, env vars are server-only. Never prefix secret keys with NEXT_PUBLIC_.
Three environments: Development, Preview, Production. Each can have different env var values.
Preview deployments are free and automatic. Every push to a non-production branch creates a preview with a unique URL.
Rollbacks are instant. You can roll back to any previous deployment via Dashboard or CLI.
Edge Functions run globally. Serverless Functions run in a single region by default.

Quick Start

bash
# Install CLI
npm i -g vercel

# Login
vercel login

# Link your project
vercel link

# Pull env vars for local dev
vercel env pull .env.local

# Deploy preview
vercel deploy

# Deploy to production
vercel --prod

Environment Variables for a SaaS Stack

When deploying a Next.js + Supabase + Stripe app, set these in Vercel:

Variable	Prefix?	Description
`NEXT_PUBLIC_SUPABASE_URL`	Yes	Supabase project URL (client-safe)
`NEXT_PUBLIC_SUPABASE_ANON_KEY`	Yes	Supabase anon key (client-safe)
`SUPABASE_SERVICE_ROLE_KEY`	No	Supabase service role (server-only)
`NEXT_PUBLIC_STRIPE_PUBLISHABLE_KEY`	Yes	Stripe publishable key (client-safe)
`STRIPE_SECRET_KEY`	No	Stripe secret key (server-only)
`STRIPE_WEBHOOK_SECRET`	No	Stripe webhook signing secret

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Vercel Developer AI skill do?

Why use Vercel Developer on TypingMind?

Because you install it once and use it with any model. Vercel Developer 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 Vercel Developer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Sleestk/Skills-Pipeline/tree/main/SaaS/vercel-developer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Vercel Developer?

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 Vercel Developer?

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

Is the Vercel Developer AI skill free?

Yes. It is published on GitHub by Sleestk under the MIT license. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Vercel Developer Skill

Architecture

Routing

Deployment

Environment Variables

Domains & SSL

CLI

Platform Features

Multiple Domains

Default Stack

Key Principles

Quick Start

Environment Variables for a SaaS Stack

Bundled files

Frequently asked questions

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