Deploy Vercel

Community

johnku2011

deploy-vercel

Use when deploying or configuring this project on Vercel — env vars, build settings, serverless limits, and production checks for Next.js or Express.

Overview

Publisher	johnku2011
Repository	`boilerplates-with-ai-skills`
Skill name	`deploy-vercel`
Stars	239
Forks	24
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 johnku2011 on GitHub. Read the source before you install it.

Installation

Install the Deploy Vercel 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/johnku2011/boilerplates-with-ai-skills/tree/main/shared/skills/deploy-vercel
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/johnku2011/boilerplates-with-ai-skills/tree/main/shared/skills/deploy-vercel

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/johnku2011/boilerplates-with-ai-skills.git /tmp/boilerplates-with-ai-skills
mkdir -p .claude/skills
cp -r /tmp/boilerplates-with-ai-skills/shared/skills/deploy-vercel .claude/skills/deploy-vercel

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

Use it in TypingMind

Enable Deploy Vercel 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 Deploy Vercel 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 Deploy Vercel 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.

Deploy on Vercel

Overview

Ship this project to Vercel with correct env vars, build settings, and production checks. Applies to Next.js App Router and Express API boilerplates in this catalog.

Pre-deploy Checklist

npm run build passes locally
npm test passes
Secrets are in Vercel project settings, not in git
No debug logging of tokens or PII
Production URL and env documented in README

Next.js App Router

Connect the Git repo in the Vercel dashboard (or vercel link + vercel deploy).
Framework preset: Next.js (auto-detected).
Set server-only env vars in Vercel — never prefix secrets with NEXT_PUBLIC_.
Use Server Components and Route Handlers for privileged logic.
After deploy, smoke-test critical routes and API handlers.

Common issues:

Build fails on server/client boundary — find "use client" leaks of server modules.
Missing env at build time — set vars for Production and Preview if needed.

Express API (serverless)

This boilerplate ships vercel.json routing to the Express app.
Set NODE_ENV=production and API secrets in Vercel env settings.
Keep handlers stateless — no in-memory session stores across invocations.
Run integration tests against vercel dev before promoting to production.

Common issues:

Cold starts — keep startup lean; lazy-load heavy deps.
Body size / timeout — respect Vercel function limits; return 413/504 gracefully.

Environment Variables

Kind	Where
Secrets (API keys, DB URLs)	Vercel → Settings → Environment Variables (Production)
Public config (analytics ID)	`NEXT_PUBLIC_*` only when safe for browsers
Local dev	`.env.local` (gitignored) — never commit

Post-deploy

Hit health or home route; confirm expected status.
Check Vercel function logs for startup errors.
Run bwai scan-project on the deployed repo clone if skills changed.

Rollback

Use Vercel instant rollback to the previous production deployment if smoke tests fail. Fix forward only after identifying root cause.

Anti-patterns

Committing .env or Vercel tokens to git.
Using production secrets in Preview without understanding exposure.
Deploying with a red test suite or skipped security review on auth changes.

Frequently asked questions

What does the Deploy Vercel AI skill do?

Use when deploying or configuring this project on Vercel — env vars, build settings, serverless limits, and production checks for Next.js or Express.

Why use Deploy Vercel on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/johnku2011/boilerplates-with-ai-skills/tree/main/shared/skills/deploy-vercel. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Deploy Vercel?

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 Deploy Vercel?

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

Is the Deploy Vercel AI skill free?

Yes. It is published on GitHub by johnku2011 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

Deploy on Vercel

Overview

Pre-deploy Checklist

Next.js App Router

Express API (serverless)

Environment Variables

Post-deploy

Rollback

Anti-patterns

Frequently asked questions

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