Deploy applications and websites to Vercel with automatic git integration and preview URLs.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add vercel-labs/agent-skills --skill deploy-to-vercelCompatible with
Supported agents
Supports three deployment paths: git-push (ideal for linked projects), direct CLI deployment, and no-auth fallback for sandboxed environments
Automatically detects project state (linked via .vercel/project.json or .vercel/repo.json , git remote presence, CLI authentication) and chooses the best deployment method
Handles team selection for multi-team accounts and uses --scope to deploy to the c
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondeploy-to-vercelExecute the skills CLI command in your project's root directory to begin installation:
epx add vercel-labs/agent-skills --skill deploy-to-vercelFetches deploy-to-vercel from vercel-labs/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/deploy-to-vercel
Restart Cursor to activate deploy-to-vercel. Access via /deploy-to-vercelin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
react-native-best-practices
callstackincubator/agent-skills · Frontend · tag: react
frontend-design
skillcreatorai/ai-agent-skills · Frontend · tag: frontend
react-expert
jeffallan/claude-skills · Frontend · tag: react
react-doctor
millionco/react-doctor · Frontend · tag: react
laravel-inertia-react
asyrafhussin/agent-skills · Frontend · tag: react
react-native-architecture
sickn33/antigravity-awesome-skills · Frontend · tag: react
Registry listing for deploy-to-vercel matched our evaluation — installs cleanly and behaves as described in the markdown.
deploy-to-vercel reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in deploy-to-vercel — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added deploy-to-vercel from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend deploy-to-vercel for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
deploy-to-vercel fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
deploy-to-vercel has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in deploy-to-vercel — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
deploy-to-vercel reduced setup friction for our internal harness; good balance of opinion and flexibility.
deploy-to-vercel is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
showing 1-10 of 56