vercel-deploy▌
supercent-io/skills-template · updated Apr 15, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Instant deployment to Vercel with preview and claimable links, no authentication required.
- ›Supports 20+ frameworks including Next.js, React, Vue, Svelte, Angular, Express, and static HTML projects with automatic framework detection
- ›Returns two URLs: a live Preview URL for immediate access and a Claim URL to transfer the deployment to your Vercel account
- ›Packages projects efficiently by excluding node_modules and .git directories to minimize upload size
- ›Works in Claude environment
Vercel Deploy
Deploy any project to Vercel instantly. No authentication required.
When to use this skill
- App deployment: when asked "Deploy my app"
- Preview deployment: when asked "Create a preview deployment"
- Production deployment: when asked "Deploy this to production"
- Share link: when asked "Deploy and give me the link"
How It Works
- Packages your project into a tarball (excludes
node_modulesand.git) - Auto-detects framework from
package.json - Uploads to deployment service
- Returns Preview URL (live site) and Claim URL (transfer to your Vercel account)
Instructions
Step 1: Prepare Project
Confirm the project directory to deploy.
Supported frameworks:
- React: Next.js, Gatsby, Create React App, Remix, React Router
- Vue: Nuxt, Vitepress, Vuepress, Gridsome
- Svelte: SvelteKit, Svelte, Sapper
- Other Frontend: Astro, Solid Start, Angular, Ember, Preact, Docusaurus
- Backend: Express, Hono, Fastify, NestJS, Elysia, h3, Nitro
- Build Tools: Vite, Parcel
- And more: Blitz, Hydrogen, RedwoodJS, Storybook, Sanity, etc.
Step 2: Run Deployment
Use the script (claude.ai environment):
bash /mnt/skills/user/vercel-deploy/scripts/deploy.sh [path]
Arguments:
path- Directory to deploy, or a.tgzfile (defaults to current directory)
Examples:
# Deploy current directory
bash /mnt/skills/user/vercel-deploy/scripts/deploy.sh
# Deploy specific project
bash /mnt/skills/user/vercel-deploy/scripts/deploy.sh /path/to/project
# Deploy existing tarball
bash /mnt/skills/user/vercel-deploy/scripts/deploy.sh /path/to/project.tgz
Step 3: Verify Result
On successful deployment, two URLs are returned:
- Preview URL: live site you can access immediately
- Claim URL: transfer this deployment to your Vercel account
Output Format
Console Output
Preparing deployment...
Detected framework: nextjs
Creating deployment package...
Deploying...
✓ Deployment successful!
Preview URL: https://skill-deploy-abc123.vercel.app
Claim URL: https://vercel.com/claim-deployment?code=...
JSON Output (for automation)
{
"previewUrl": "https://skill-deploy-abc123.vercel.app",
"claimUrl": "https://vercel.com/claim-deployment?code=...",
"deploymentId": "dpl_...",
"projectId": "prj_..."
}
Static HTML Projects
For projects without a package.json:
- If there's a single
.htmlfile not namedindex.html, it gets renamed automatically - This ensures the page is served at the root URL (
/)
Present Results to User
Always show both URLs:
✓ Deployment successful!
Preview URL: https://skill-deploy-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.
Troubleshooting
Network Egress Error
If deployment fails due to network restrictions (common 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
Framework Not Detected
If the framework is not detected:
- Check that
package.jsonexists - Check that your dependencies include the framework package
- Manually set the
frameworkparameter
Constraints
Required Rules (MUST)
- Show both URLs: show both the Preview URL and Claim URL to the user
- Framework detection: auto-detect from package.json
- Show error messages: show a clear error message if deployment fails
Prohibited (MUST NOT)
- Include node_modules: do not include node_modules in the tarball
- Include .git: do not include the .git directory in the tarball
- Hardcode credentials: no authentication required (claimable deploy)
Best practices
- Automatic framework detection: pick optimal settings by analyzing package.json
- Clean Tarball: exclude node_modules and .git for faster uploads
- Clear output: clearly distinguish the Preview URL and Claim URL
References
Metadata
Version
- Current version: 1.0.0
- Last updated: 2026-01-22
- Supported platforms: Claude (claude.ai)
- Source: vercel/agent-skills
Related Skills
- deployment-automation: CI/CD and Docker/K8s deployments
Tags
#deployment #vercel #preview #production #hosting #serverless #infrastructure
How to use vercel-deploy on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add vercel-deploy
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches vercel-deploy from GitHub repository supercent-io/skills-template and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate vercel-deploy. Access the skill through slash commands (e.g., /vercel-deploy) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★39 reviews- ★★★★★Yuki Iyer· Dec 28, 2024
vercel-deploy fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Mia Chen· Dec 28, 2024
Useful defaults in vercel-deploy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Nia Kapoor· Dec 24, 2024
We added vercel-deploy from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Dhruvi Jain· Dec 4, 2024
Registry listing for vercel-deploy matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Oshnikdeep· Nov 23, 2024
Keeps context tight: vercel-deploy is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Benjamin Okafor· Nov 19, 2024
vercel-deploy is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Benjamin Menon· Nov 19, 2024
I recommend vercel-deploy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ganesh Mohane· Oct 14, 2024
I recommend vercel-deploy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Yuki Robinson· Oct 10, 2024
Solid pick for teams standardizing on skills: vercel-deploy is focused, and the summary matches what you get after install.
- ★★★★★Benjamin Verma· Oct 10, 2024
Keeps context tight: vercel-deploy is the kind of skill you can hand to a new teammate without a long onboarding doc.
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