
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
- 49
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/julianromli/ai-skills --skill deploy-to-vercel- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads deploy-to-vercel automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
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 byvercel link(single project linking). ContainsprojectIdandorgId..vercel/repo.json— created byvercel link --repo(repo-based linking). ContainsorgId,remoteName, and aprojectsarray 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.
-
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? -
Commit and push:
git add . git commit -m "deploy: <description of changes>" git pushVercel automatically builds from the push. Non-production branches get preview deployments; the production branch (usually
main) gets a production deployment. -
Retrieve the preview URL. If the CLI is authenticated:
sleep 5 vercel ls --format jsonThe JSON output has a
deploymentsarray. Find the latest entry — itsurlfield 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.
-
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.
-
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. -
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 thanvercel 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. -
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>, thenvercel inspect <url>to check status
Not linked + CLI not authenticated → Install, auth, link, deploy
The Vercel CLI isn't set up at all.
-
Install the CLI (if not already installed):
npm install -g vercel -
Authenticate:
vercel loginThe 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.
-
Ask which team to deploy to — present team slugs from
vercel teams list --format jsonas a bulleted list. If only one team / personal account, skip. Once selected, proceed immediately. -
Link the project with the selected team scope (use
--repoif a git remote exists, plainvercel linkotherwise):vercel link --repo --scope <team-slug> # if git remote exists vercel link --scope <team-slug> # if no git remote -
Deploy using the best available method (git push if remote exists, otherwise
vercel deploy -y --no-wait --scope <team-slug>, thenvercel 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.tgzfile (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.
-
Check whether the Vercel CLI is installed (no escalation needed for this check):
command -v vercel -
If
vercelis installed, try deploying with the CLI:vercel deploy [path] -y --no-wait -
If
vercelis 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 jsonto 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. Usevercel 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/julianromli/ai-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?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains deploy-to-vercel?
It is published by julianromli in julianromli/ai-skills. It has 49 recorded installs.
More from julianromli/ai-skills
clone-website
julianromli/ai-skills
Reverse-engineer and clone one or more websites in one shot — extracts assets, CSS, and content section-by-section and proactively dispatches parallel builder agents in worktrees as it goes. Use this whenever the user wants to clone, replicate, rebuild, reverse-engineer, or copy any website. Also triggers on phrases like "make a copy of this site", "rebuild this page", "pixel-perfect clone". Provide one or more target URLs as arguments.
frontend-ui-animator
julianromli/ai-skills
Open the skill to read its SKILL.md instructions.
make-interfaces-feel-better
julianromli/ai-skills
Open the skill to read its SKILL.md instructions.
frontend-design
julianromli/ai-skills
Open the skill to read its SKILL.md instructions.
browser
julianromli/ai-skills
Minimal Chrome DevTools Protocol tools for browser automation and scraping. Use when you need to start Chrome, navigate pages, execute JavaScript, take screenshots, or interactively pick DOM elements.
ui-ux-pro-max
julianromli/ai-skills
Open the skill to read its SKILL.md instructions.
Popular devops & cloud skills
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
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.
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.
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.
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.
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.