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vercel-cli-with-tokens AI Agent Skill

View Source: vercel-labs/agent-skills

Medium

Installation

npx skills add vercel-labs/agent-skills --skill vercel-cli-with-tokens

19.4K

Installs

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

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

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

If found, export it:

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_):

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

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

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.

# 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.

# 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:

# 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:

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:

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:

vercel deploy -y --no-wait

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

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

Production (only when explicitly requested):

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

Check status:

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

# 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):

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:

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

Creates .vercel/project.json.

Link to a specific project by name:

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:
    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:
    sleep 5
    vercel ls --format json --scope <team-slug>
    Find the latest entry in the deployments array.

B) CLI Deploy — no git remote

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

Check status:

vercel inspect <deployment-url>

Deploying from a Remote Repository (code not cloned locally)

  1. Clone the repository:
    git clone <repo-url>
    cd <repo-name>
  2. Link to Vercel:
    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

# 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

# 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

# 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:

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:

vercel whoami --scope <team-slug>

Build failure

Check the build logs:

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

npm install -g vercel

Installs

Installs 19.4K
Global Rank #144 of 600

Security Audit

ath Safe
socket Safe
Alerts: 0 Score: 90
snyk Medium
zeroleaks Safe
Score: 93
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How to use this skill

1

Install vercel-cli-with-tokens by running npx skills add vercel-labs/agent-skills --skill vercel-cli-with-tokens in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.

2

No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.

3

The skill enhances your agent's understanding of vercel-cli-with-tokens, helping it follow established patterns, avoid common mistakes, and produce production-ready output.

What you get

Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.

Compatibility

This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

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