What is deploy-to-vercel?
Deploy applications and websites to Vercel.
vercel-labs/agent-skills
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".
npx skills add https://github.com/vercel-labs/agent-skills --skill "skills/deploy-to-vercel"Quick start
Install it or open the source, trigger it with a clear task, then follow the source workflow.
npx skills add https://github.com/vercel-labs/agent-skills --skill "skills/deploy-to-vercel"Use deploy-to-vercel to help me with: [describe your task]. Before you begin, tell me what input you need, the steps you will follow, and the expected output.
No structured workflow was detected; follow the original SKILL.md below.
Continue to the workflowDirect answers
Deploy applications and websites to Vercel.
It is most relevant to independent site, software development workflows. Confirm the original prerequisites before using it in production.
SkillSignal detected this source-specific command: npx skills add https://github.com/vercel-labs/agent-skills --skill "skills/deploy-to-vercel". Inspect the repository and command before running it.
codex, claude code
Static analysis detected exec-script, network signals. Review the cited source lines before installing; these signals are not a security audit.
This page combines upstream documentation with deterministic repository, quality, and static-risk signals. It is not described as a manual test or security review.
SkillSignal brief
Deploy applications and websites to Vercel.
Useful in these contexts
Core capabilities
Distilled from the source
About 7 min · 6 sections
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".
Network Egress Error (claude.ai)
Escalated Network Access (Codex / sandboxed environments)
CLI Auth Failure
If deployment fails due to network restrictions on claude.ai, tell the user:
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform.
Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.
Build, inspect, test, and analyze bounded process-based discrete-event simulations with SimPy, including events, resources, interrupts, monitoring, replications, warm-up, and reproducible output analysis.
Give a blunt A-F ship grade for a code change across correctness, security, data, UX, verification, and deploy readiness. Use for a grade, not a findings review.
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.
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
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.
.vercel/ exists) + has git remote → Git PushThis 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 push
Vercel 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 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.
.vercel/ exists) + no git remote → vercel deployThe 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
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 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.
Then deploy using the best available method:
vercel deploy [path] -y --no-wait --scope <team-slug>, then vercel inspect <url> to check statusThe Vercel CLI isn't set up at all.
Install the CLI (if not already installed):
npm install -g vercel
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.
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.
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
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).
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."
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 vercel is installed, try deploying with the CLI:
vercel deploy [path] -y --no-wait
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.
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.
You likely cannot run vercel login or git push. Go directly to the no-auth fallback — claude.ai sandbox.
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.
Always show the user the deployment URL.
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.vercel deploy --no-wait. Use vercel inspect <url> to check build status and report it to the user.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.
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
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?
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).