MCPInstall

deploy-to-vercel

Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".

Installs
171.6K
Last 24h
+1.4K
Trending rank
#218
Security
Warn

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/vercel-labs/agent-skills --skill deploy-to-vercel
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads deploy-to-vercel automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·This skill provides functionality to deploy projects to Vercel and includes standard security considerations such as command execution and external network operations. These actions are aligned with the skill's purpose and use established vendor services.
Socket PassNo alerts
Snyk WarnMEDIUM ·Risk: MEDIUM · 1 issue
Runlayer WarnMEDIUM ·3/3 files flagged
ZeroLeaks PassNONE ·Score: 93/100 · 2 sections analyzed

SKILL.md

The instructions your agent reads when the skill is triggered.

Deploy to Vercel

Deploy any project to Vercel. Always deploy as preview (not production) unless the user explicitly asks for production.

The goal is to get the user into the best long-term setup: their project linked to Vercel with git-push deploys. Every method below tries to move the user closer to that state.

Step 1: Gather Project State

Run all four checks before deciding which method to use:

# 1. Check for a git remote
git remote get-url origin 2>/dev/null

# 2. Check if locally linked to a Vercel project (either file means linked)
cat .vercel/project.json 2>/dev/null || cat .vercel/repo.json 2>/dev/null

# 3. Check if the Vercel CLI is installed and authenticated
vercel whoami 2>/dev/null

# 4. List available teams (if authenticated)
vercel teams list --format json 2>/dev/null

Team selection

If the user belongs to multiple teams, present all available team slugs as a bulleted list and ask which one to deploy to. Once the user picks a team, proceed immediately to the next step — do not ask for additional confirmation.

Pass the team slug via --scope on all subsequent CLI commands (vercel deploy, vercel link, vercel inspect, etc.):

vercel deploy [path] -y --no-wait --scope <team-slug>

If the project is already linked (.vercel/project.json or .vercel/repo.json exists), the orgId in those files determines the team — no need to ask again. If there is only one team (or just a personal account), skip the prompt and use it directly.

About the .vercel/ directory: A linked project has either:

  • .vercel/project.json — created by vercel link (single project linking). Contains projectId and orgId.
  • .vercel/repo.json — created by vercel link --repo (repo-based linking). Contains orgId, remoteName, and a projects array mapping directories to Vercel project IDs.

Either file means the project is linked. Check for both.

Do NOT use vercel project inspect, vercel ls, or vercel link to detect state in an unlinked directory — without a .vercel/ config, they will interactively prompt (or with --yes, silently link as a side-effect). Only vercel whoami is safe to run anywhere.

Step 2: Choose a Deploy Method

Linked (.vercel/ exists) + has git remote → Git Push

This is the ideal state. The project is linked and has git integration.

  1. Ask the user before pushing. Never push without explicit approval:

    This project is connected to Vercel via git. I can commit and push to
    trigger a deployment. Want me to proceed?
    
  2. Commit and push:

    git add .
    git commit -m "deploy: <description of changes>"
    git push
    

    Vercel automatically builds from the push. Non-production branches get preview deployments; the production branch (usually main) gets a production deployment.

  3. Retrieve the preview URL. If the CLI is authenticated:

    sleep 5
    vercel ls --format json
    

    The JSON output has a deployments array. Find the latest entry — its url field is the preview URL.

    If the CLI is not authenticated, tell the user to check the Vercel dashboard or the commit status checks on their git provider for the preview URL.


Linked (.vercel/ exists) + no git remote → vercel deploy

The project is linked but there's no git repo. Deploy directly with the CLI.

vercel deploy [path] -y --no-wait

Use --no-wait so the CLI returns immediately with the deployment URL instead of blocking until the build finishes (builds can take a while). Then check on the deployment status with:

vercel inspect <deployment-url>

For production deploys (only if user explicitly asks):

vercel deploy [path] --prod -y --no-wait

Not linked + CLI is authenticated → Link first, then deploy

The CLI is working but the project isn't linked yet. This is the opportunity to get the user into the best state.

  1. Ask the user which team to deploy to. Present the team slugs from Step 1 as a bulleted list. If there's only one team (or just a personal account), skip this step.

  2. Once a team is selected, proceed directly to linking. Tell the user what will happen but do not ask for separate confirmation:

    Linking this project to <team name> on Vercel. This will create a Vercel
    project to deploy to and enable automatic deployments on future git pushes.
    
  3. If a git remote exists, use repo-based linking with the selected team scope:

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

    This reads the git remote URL and matches it to existing Vercel projects that deploy from that repo. It creates .vercel/repo.json. This is much more reliable than vercel link (without --repo), which tries to match by directory name and often fails when the local folder and Vercel project are named differently.

    If there is no git remote, fall back to standard linking:

    vercel link --scope <team-slug>
    

    This prompts the user to select or create a project. It creates .vercel/project.json.

  4. Then deploy using the best available method:

    • If a git remote exists → commit and push (see git push method above)
    • If no git remote → vercel deploy [path] -y --no-wait --scope <team-slug>, then vercel inspect <url> to check status

Not linked + CLI not authenticated → Install, auth, link, deploy

The Vercel CLI isn't set up at all.

  1. Install the CLI (if not already installed):

    npm install -g vercel
    
  2. Authenticate:

    vercel login
    

    The user completes auth in their browser. If running in a non-interactive environment where login is not possible, skip to the no-auth fallback below.

  3. Ask which team to deploy to — present team slugs from vercel teams list --format json as a bulleted list. If only one team / personal account, skip. Once selected, proceed immediately.

  4. Link the project with the selected team scope (use --repo if a git remote exists, plain vercel link otherwise):

    vercel link --repo --scope <team-slug>   # if git remote exists
    vercel link --scope <team-slug>          # if no git remote
    
  5. Deploy using the best available method (git push if remote exists, otherwise vercel deploy -y --no-wait --scope <team-slug>, then vercel inspect <url> to check status).


No-Auth Fallback — claude.ai sandbox

When to use: Last resort when the CLI can't be installed or authenticated in the claude.ai sandbox. This requires no authentication — it returns a Preview URL (live site) and a Claim URL (transfer to your Vercel account).

bash /mnt/skills/user/deploy-to-vercel/resources/deploy.sh [path]

Arguments:

  • path - Directory to deploy, or a .tgz file (defaults to current directory)

Examples:

# Deploy current directory
bash /mnt/skills/user/deploy-to-vercel/resources/deploy.sh

# Deploy specific project
bash /mnt/skills/user/deploy-to-vercel/resources/deploy.sh /path/to/project

# Deploy existing tarball
bash /mnt/skills/user/deploy-to-vercel/resources/deploy.sh /path/to/project.tgz

The script auto-detects the framework from package.json, packages the project (excluding node_modules, .git, .env), uploads it, and waits for the build to complete.

Tell the user: "Your deployment is ready at [previewUrl]. Claim it at [claimUrl] to manage your deployment."


No-Auth Fallback — Codex sandbox

When to use: In the Codex sandbox where the CLI may not be authenticated. Codex runs in a sandboxed environment by default — try the CLI first, and fall back to the deploy script if auth fails.

  1. Check whether the Vercel CLI is installed (no escalation needed for this check):

    command -v vercel
    
  2. If vercel is installed, try deploying with the CLI:

    vercel deploy [path] -y --no-wait
    
  3. If vercel is not installed, or the CLI fails with "No existing credentials found", use the fallback script:

    skill_dir="<path-to-skill>"
    
    # Deploy current directory
    bash "$skill_dir/resources/deploy-codex.sh"
    
    # Deploy specific project
    bash "$skill_dir/resources/deploy-codex.sh" /path/to/project
    
    # Deploy existing tarball
    bash "$skill_dir/resources/deploy-codex.sh" /path/to/project.tgz
    

The script handles framework detection, packaging, and deployment. It waits for the build to complete and returns JSON with previewUrl and claimUrl.

Tell the user: "Your deployment is ready at [previewUrl]. Claim it at [claimUrl] to manage your deployment."

Escalated network access: Only escalate the actual deploy command if sandboxing blocks the network call (sandbox_permissions=require_escalated). Do not escalate the command -v vercel check.


Agent-Specific Notes

Claude Code / terminal-based agents

You have full shell access. Do NOT use the /mnt/skills/ path. Follow the decision flow above using the CLI directly.

For the no-auth fallback, run the deploy script from the skill's installed location:

bash ~/.claude/skills/deploy-to-vercel/resources/deploy.sh [path]

The path may vary depending on where the user installed the skill.

Sandboxed environments (claude.ai)

You likely cannot run vercel login or git push. Go directly to the no-auth fallback — claude.ai sandbox.

Codex

Codex runs in a sandbox. Check if the CLI is available first, then fall back to the deploy script. Go to the no-auth fallback — Codex sandbox.


Output

Always show the user the deployment URL.

  • Git push: Use vercel ls --format json to find the preview URL. If the CLI isn't authenticated, tell the user to check the Vercel dashboard or commit status checks.
  • CLI deploy: Show the URL returned by vercel deploy --no-wait. Use vercel inspect <url> to check build status and report it to the user.
  • No-auth fallback: Show both the preview URL and the claim URL:
    Deployment successful!
    
    Preview URL: https://my-app-abc123.vercel.app
    Claim URL:   https://vercel.com/claim-deployment?code=...
    
    View your site at the Preview URL.
    To transfer this deployment to your Vercel account, visit the Claim URL.
    

Do not curl or fetch the deployed URL to verify it works. Just return the link.


Troubleshooting

Network Egress Error (claude.ai)

If deployment fails due to network restrictions on claude.ai, tell the user:

Deployment failed due to network restrictions. To fix this:

1. Go to https://claude.ai/settings/capabilities
2. Add *.vercel.com to the allowed domains
3. Try deploying again

Escalated Network Access (Codex / sandboxed environments)

If deployment fails due to network issues (timeouts, DNS errors, connection resets) in a sandboxed environment, rerun with escalated permissions (sandbox_permissions=require_escalated). Do not escalate the initial CLI availability check — only escalate the actual deploy command.

Example guidance to the user:

The deploy needs escalated network access to deploy to Vercel. I can rerun
the command with escalated permissions — want me to proceed?

CLI Auth Failure

If vercel login or vercel deploy fails with authentication errors, fall back to the no-auth deploy script (claude.ai or Codex variant, depending on the environment).

FAQ

What does the deploy-to-vercel skill do?

Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".

How do I install deploy-to-vercel?

Run npx skills add https://github.com/vercel-labs/agent-skills --skill deploy-to-vercel in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/deploy-to-vercel/ (personal) or .claude/skills/deploy-to-vercel/ (project).

Which AI agents can use deploy-to-vercel?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is deploy-to-vercel safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk flagged items to review; Runlayer flagged items to review; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains deploy-to-vercel?

It is published by vercel-labs in vercel-labs/agent-skills, and it is an official skill from the maker of the technology it covers. It has 171,613 recorded installs.

More from vercel-labs/agent-skills

View all →

vercel-react-best-practices

vercel-labs/agent-skills

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

OfficialFrontend & Design843.1K installs

web-design-guidelines

vercel-labs/agent-skills

Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".

OfficialFrontend & Design789.9K installs

vercel-composition-patterns

vercel-labs/agent-skills

React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.

OfficialDevOps & Cloud420.9K installs

vercel-react-native-skills

vercel-labs/agent-skills

React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.

OfficialMobile256.7K installs

vercel-react-view-transitions

vercel-labs/agent-skills

Guide for implementing smooth, native-feeling animations using React's View Transition API ( component, addTransitionType, and CSS view transition pseudo-elements). Use this skill whenever the user wants to add page transitions, animate route changes, create shared element animations, animate enter/exit of components, animate list reorder, implement directional (forward/back) navigation animations, or integrate view transitions in Next.js. Also use when the user mentions view transitions, startViewTransition, ViewTransition, transition types, or asks about animating between UI states in React without third-party animation libraries.

OfficialFrontend & Design169.6K installs

vercel-cli-with-tokens

vercel-labs/agent-skills

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".

OfficialDevOps & Cloud137.6K installs

Popular devops & cloud skills

View category →

microsoft-foundry

microsoft/azure-skills

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure

OfficialDevOps & Cloud579.1K installs

azure-diagnostics

microsoft/azure-skills

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.

OfficialDevOps & Cloud569.8K installs

azure-prepare

microsoft/azure-skills

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

OfficialDevOps & Cloud569K installs

azure-ai

microsoft/azure-skills

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.

OfficialDevOps & Cloud568.8K installs

azure-deploy

microsoft/azure-skills

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.

OfficialDevOps & Cloud568.6K installs

azure-validate

microsoft/azure-skills

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.

OfficialDevOps & Cloud568K installs