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Vercel Cli With Tokens

OrganizationPopular
vercel-labs
vercel-cli-with-tokens

Deploy and manage projects on Vercel using token-based authentication. Use when working with Vercel CLI using access tokens rather than interactive login — e.g. "deploy to vercel", "set up vercel", "add environment variables to vercel".

Overview

Publishervercel-labs
Repositoryagent-skills
Skill namevercel-cli-with-tokens
Stars
31.3K
Forks
2.8K
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-labs on GitHub. Read the source before you install it.

Installation

Install the Vercel Cli With Tokens 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-labs/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/vercel-cli-with-tokens .claude/skills/vercel-cli-with-tokens
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vercel Cli With Tokens 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 Cli With Tokens 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 Cli With Tokens 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 CLI with Tokens

Deploy and manage projects on Vercel using the CLI with token-based authentication, without relying on vercel login.

Step 1: Locate the Vercel Token

Before running any Vercel CLI commands, identify where the token is coming from. Work through these scenarios in order:

A) VERCEL_TOKEN is already set in the environment

bash
printenv VERCEL_TOKEN

If this returns a value, you're ready. Skip to Step 2.

B) Token is in a .env file under VERCEL_TOKEN

bash
grep '^VERCEL_TOKEN=' .env 2>/dev/null

If found, export it:

bash
export VERCEL_TOKEN=$(grep '^VERCEL_TOKEN=' .env | cut -d= -f2-)

C) Token is in a .env file under a different name

Look for any variable that looks like a Vercel token (Vercel tokens typically start with vca_):

bash
grep -i 'vercel' .env 2>/dev/null

Inspect the output to identify which variable holds the token, then export it as VERCEL_TOKEN:

bash
export VERCEL_TOKEN=$(grep '^<VARIABLE_NAME>=' .env | cut -d= -f2-)

D) No token found — ask the user

If none of the above yield a token, ask the user to provide one. They can create a Vercel access token at vercel.com/account/tokens.


Important: Once VERCEL_TOKEN is exported as an environment variable, the Vercel CLI reads it natively — do not pass it as a --token flag. Putting secrets in command-line arguments exposes them in shell history and process listings.

bash
# Bad — token visible in shell history and process listings
vercel deploy --token "vca_abc123"

# Good — CLI reads VERCEL_TOKEN from the environment
export VERCEL_TOKEN="vca_abc123"
vercel deploy

Step 2: Locate the Project and Team

Similarly, check for the project ID and team scope. These let the CLI target the right project without needing vercel link.

bash
# Check environment
printenv VERCEL_PROJECT_ID
printenv VERCEL_ORG_ID

# Or check .env
grep -i 'vercel' .env 2>/dev/null

If you have a project URL (e.g. https://vercel.com/my-team/my-project), extract the team slug:

bash
# e.g. "my-team" from "https://vercel.com/my-team/my-project"
echo "$PROJECT_URL" | sed 's|https://vercel.com/||' | cut -d/ -f1

If you have both VERCEL_ORG_ID and VERCEL_PROJECT_ID in your environment, export them — the CLI will use these automatically and skip any .vercel/ directory:

bash
export VERCEL_ORG_ID="<org-id>"
export VERCEL_PROJECT_ID="<project-id>"

Note: VERCEL_ORG_ID and VERCEL_PROJECT_ID must be set together — setting only one causes an error.

CLI Setup

Ensure the Vercel CLI is installed and up to date:

bash
npm install -g vercel
vercel --version

Deploying a Project

Always deploy as preview unless the user explicitly requests production. Choose a method based on what you have available.

Quick Deploy (have project ID — no linking needed)

When VERCEL_TOKEN and VERCEL_PROJECT_ID are set in the environment, deploy directly:

bash
vercel deploy -y --no-wait

With a team scope (either via VERCEL_ORG_ID or --scope):

bash
vercel deploy --scope <team-slug> -y --no-wait

Production (only when explicitly requested):

bash
vercel deploy --prod --scope <team-slug> -y --no-wait

Check status:

bash
vercel inspect <deployment-url>

Full Deploy Flow (no project ID — need to link)

Use this when you have a token and team but no pre-existing project ID.

Check project state first
bash
# Does the project have a git remote?
git remote get-url origin 2>/dev/null

# Is it already linked to a Vercel project?
cat .vercel/project.json 2>/dev/null || cat .vercel/repo.json 2>/dev/null
Link the project

With git remote (preferred):

bash
vercel link --repo --scope <team-slug> -y

Reads the git remote and connects to the matching Vercel project. Creates .vercel/repo.json. More reliable than plain vercel link, which matches by directory name.

Without git remote:

bash
vercel link --scope <team-slug> -y

Creates .vercel/project.json.

Link to a specific project by name:

bash
vercel link --project <project-name> --scope <team-slug> -y

If the project is already linked, check orgId in .vercel/project.json or .vercel/repo.json to verify it matches the intended team.

Deploy after linking

A) Git Push Deploy — has git remote (preferred)

Git pushes trigger automatic Vercel deployments.

  1. Ask the user before pushing. Never push without explicit approval.
  2. Commit and push:
    bash
    git add .
    git commit -m "deploy: <description of changes>"
    git push
  3. Vercel builds automatically. Non-production branches get preview deployments.
  4. Retrieve the deployment URL:
    bash
    sleep 5
    vercel ls --format json --scope <team-slug>
    Find the latest entry in the deployments array.

B) CLI Deploy — no git remote

bash
vercel deploy --scope <team-slug> -y --no-wait

Check status:

bash
vercel inspect <deployment-url>

Deploying from a Remote Repository (code not cloned locally)

  1. Clone the repository:
    bash
    git clone <repo-url>
    cd <repo-name>
  2. Link to Vercel:
    bash
    vercel link --repo --scope <team-slug> -y
  3. Deploy via git push (if you have push access) or CLI deploy.

About .vercel/ Directory

A linked project has either:

  • .vercel/project.json — from vercel link. Contains projectId and orgId.
  • .vercel/repo.json — from vercel link --repo. Contains orgId, remoteName, and a projects map.

Not needed when VERCEL_ORG_ID + VERCEL_PROJECT_ID are both set in the environment.

Do NOT run vercel project inspect or vercel link in an unlinked directory to detect state — they will interactively prompt or silently link as a side-effect. vercel ls is safe (in an unlinked directory it defaults to showing all deployments for the scope). vercel whoami is safe anywhere.

Managing Environment Variables

bash
# Set for all environments
echo "value" | vercel env add VAR_NAME --scope <team-slug>

# Set for a specific environment (production, preview, development)
echo "value" | vercel env add VAR_NAME production --scope <team-slug>

# List environment variables
vercel env ls --scope <team-slug>

# Pull env vars to local .env.local file
vercel env pull --scope <team-slug>

# Remove a variable
vercel env rm VAR_NAME --scope <team-slug> -y

Inspecting Deployments

bash
# List recent deployments
vercel ls --format json --scope <team-slug>

# Inspect a specific deployment
vercel inspect <deployment-url>

# View build logs (requires Vercel CLI v35+)
vercel inspect <deployment-url> --logs

# View runtime request logs (follows live by default; add --no-follow for a one-shot snapshot)
vercel logs <deployment-url>

Managing Domains

bash
# List domains
vercel domains ls --scope <team-slug>

# Add a domain to the project — linked or env-linked directory (1 arg)
vercel domains add <domain> --scope <team-slug>

# Add a domain — unlinked directory (requires <project> positional)
vercel domains add <domain> <project> --scope <team-slug>

Stripe Projects Plan Changes

If this project is managed by Stripe Projects. Ask the user before running any paid or destructive plan change — upgrades bill a real card, downgrades remove seats.

First run stripe projects status --json to confirm the Vercel resource's local name. The examples below assume the default (vercel-plan); substitute the actual name if it was renamed at stripe projects add time.

  • Upgrade to Pro: stripe projects add vercel/pro (or stripe projects upgrade vercel-plan pro)
  • Downgrade to Hobby: stripe projects downgrade vercel-plan hobby

What Pro gives you

  • $20/month platform fee, includes $20/month of usage credit.
  • Turbo build machines (30 vCPUs, 60 GB memory) by default for new projects — significantly faster builds than Hobby.
  • 1 deploying seat + unlimited free Viewer seats (read-only collaborators, preview comments).
  • Higher included allocations (1 TB Fast Data Transfer, 10M Edge Requests per month).
  • Paid add-ons available: SAML SSO, HIPAA BAA, Flags Explorer, Observability Plus, Speed Insights, Web Analytics Plus.

Full details: https://vercel.com/docs/plans/pro-plan

Working Agreement

  • Never pass VERCEL_TOKEN as a --token flag. Export it as an environment variable and let the CLI read it natively.
  • Check the environment for tokens before asking the user. Look in the current env and .env files first.
  • Default to preview deployments. Only deploy to production when explicitly asked.
  • Ask before pushing to git. Never push commits without the user's approval.
  • Do not modify .vercel/ files directly. The CLI manages this directory. Reading them (e.g. to verify orgId) is fine.
  • Do not curl/fetch deployed URLs to verify. Just return the link to the user.
  • Use --format json when structured output will help with follow-up steps.
  • Use -y on commands that prompt for confirmation to avoid interactive blocking.

Troubleshooting

Token not found

Check the environment and any .env files present:

bash
printenv | grep -i vercel
grep -i vercel .env 2>/dev/null

Authentication error

If the CLI fails with Authentication required:

  • The token may be expired or invalid.
  • Verify: vercel whoami (uses VERCEL_TOKEN from environment).
  • Ask the user for a fresh token.

Wrong team

Verify the scope is correct:

bash
vercel whoami --scope <team-slug>

Build failure

Check the build logs:

bash
vercel inspect <deployment-url> --logs

Common causes:

  • Missing dependencies — ensure package.json is complete and committed.
  • Missing environment variables — add with vercel env add.
  • Framework misconfiguration — check vercel.json. Vercel auto-detects frameworks (Next.js, Remix, Vite, etc.) from package.json; override with vercel.json if detection is wrong.

CLI not installed

bash
npm install -g vercel

Frequently asked questions

What does the Vercel Cli With Tokens AI skill do?

Deploy and manage projects on Vercel using token-based authentication. Use when working with Vercel CLI using access tokens rather than interactive login — e.g. "deploy to vercel", "set up vercel", "add environment variables to vercel".

Why use Vercel Cli With Tokens on TypingMind?

Because you install it once and use it with any model. Vercel Cli With Tokens 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 Cli With Tokens in TypingMind?

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

Which AI models can use Vercel Cli With Tokens?

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 Cli With Tokens?

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

Is the Vercel Cli With Tokens AI skill free?

It is published on GitHub by vercel-labs. 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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