vercel — Vercel 배포 관리 vercel, fuzzycat, community, Vercel 배포 관리, ide skills, CLI 도구, 정적 자산 최적화, Python 스크립트, JSON 데이터 처리, vercel ls 명령

v1.0.0

이 스킬 정보

Vercel 워크플로우 자동화 관리와 배포 태스크 최적화가 필요한 배포 에이전트에게 적합합니다. Vercel CLI는 Vercel 배포를 관리하는 명령줄 도구입니다

기능

배포 목록 표시 지원
배포 세부 정보 확인 기능 제공
배포 로그 확인 지원
Python 스크립트를 사용하여 JSON 데이터 처리
vercel ls 명령을 사용하여 최신 배포 URL 가져오기

# Core Topics

Vero-Ventures Vero-Ventures
[0]
[0]
Updated: 3/23/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
60
Canonical Locale
en
Detected Body Locale
en

Vercel 워크플로우 자동화 관리와 배포 태스크 최적화가 필요한 배포 에이전트에게 적합합니다. Vercel CLI는 Vercel 배포를 관리하는 명령줄 도구입니다

이 스킬을 사용하는 이유

Vercel CLI를 사용하여 Vercel 배포를 관리하는 에이전트의 능력을 제공하고, 자동화된 배포 태스크, 최적화된 워크플로, 및 JSON 출력을 통한 추가 처리를 가능하게 하며, CLI 명령어 또는 JSON 데이터 형식과 같은 프로토콜을 활용합니다.

최적의 용도

Vercel 워크플로우 자동화 관리와 배포 태스크 최적화가 필요한 배포 에이전트에게 적합합니다.

실행 가능한 사용 사례 for vercel

'vercel ls' 명령어를 사용하여 최근의 Vercel 배포를 나열합니다
'vercel ls --json'을 사용하여 최신 배포 URL과 상태를 자동으로 검색합니다
'vercel inspect <deployment-url>' 명령어를 사용하여 Vercel 배포를详细히 검사합니다
배포 로그를 보아 트러블슈팅과 모니터링을 수행합니다

! 보안 및 제한 사항

  • ~/.bun/bin/vercel에 Vercel CLI를 설치해야 합니다
  • Vercel 인증이 필요합니다
  • Vercel 배포만 관리하며, 다른 플랫폼은 지원하지 않습니다

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is vercel?

Vercel 워크플로우 자동화 관리와 배포 태스크 최적화가 필요한 배포 에이전트에게 적합합니다. Vercel CLI는 Vercel 배포를 관리하는 명령줄 도구입니다

How do I install vercel?

Run the command: npx killer-skills add Vero-Ventures/fuzzycat/vercel. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for vercel?

Key use cases include: 'vercel ls' 명령어를 사용하여 최근의 Vercel 배포를 나열합니다, 'vercel ls --json'을 사용하여 최신 배포 URL과 상태를 자동으로 검색합니다, 'vercel inspect <deployment-url>' 명령어를 사용하여 Vercel 배포를详细히 검사합니다, 배포 로그를 보아 트러블슈팅과 모니터링을 수행합니다.

Which IDEs are compatible with vercel?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for vercel?

~/.bun/bin/vercel에 Vercel CLI를 설치해야 합니다. Vercel 인증이 필요합니다. Vercel 배포만 관리하며, 다른 플랫폼은 지원하지 않습니다.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add Vero-Ventures/fuzzycat/vercel. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use vercel immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

vercel

Install vercel, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Vercel CLI

Manage FuzzyCat's Vercel deployments. The CLI is installed at ~/.bun/bin/vercel and already authenticated.

Common Commands

Deployments

bash
1# List recent deployments 2vercel ls 3 4# Get latest deployment URL 5vercel ls --json 2>/dev/null | python3 -c " 6import sys,json 7deploys=json.load(sys.stdin) 8if deploys: print(f\"{deploys[0]['url']} | {deploys[0]['state']} | {deploys[0]['createdAt']}\")" 9 10# Get deployment details 11vercel inspect <deployment-url> 12 13# View deployment logs 14vercel logs <deployment-url> 15 16# View real-time logs (streaming) 17vercel logs <deployment-url> --follow

Environment Variables

bash
1# List all env vars 2vercel env ls 3 4# List env vars for specific environment 5vercel env ls --environment production 6 7# Pull env vars to a file 8vercel env pull /tmp/prod-env.txt --environment production 9 10# Add an env var (all environments) 11vercel env add VAR_NAME 12 13# Add env var for specific environment 14vercel env add VAR_NAME production 15 16# Remove an env var 17vercel env rm VAR_NAME

Domains

bash
1# List domains 2vercel domains ls 3 4# Inspect domain 5vercel domains inspect fuzzycatapp.com 6 7# Add a domain 8vercel domains add subdomain.fuzzycatapp.com

Projects

bash
1# Project info 2vercel project ls 3 4# Link current directory to project 5vercel link

Manual Deployment

bash
1# Deploy to preview 2vercel 3 4# Deploy to production (prefer auto-deploy via git push) 5vercel --prod 6 7# Note: Auto-deploys from GitHub are the standard workflow. 8# Manual vercel --prod should be avoided unless auto-deploys are broken.

Debugging

bash
1# Check build output 2vercel logs <url> --output json 2>/dev/null | python3 -c " 3import sys,json 4for line in sys.stdin: 5 try: 6 entry = json.loads(line) 7 if entry.get('type') == 'error': 8 print(f\"ERROR: {entry.get('text','')}\") 9 except: pass" 10 11# Check function logs (serverless) 12vercel logs <url> --follow 13 14# Check if deployment is healthy 15curl -sL https://www.fuzzycatapp.com/api/health | python3 -m json.tool

Production Checks

bash
1# Quick health check 2curl -sL https://www.fuzzycatapp.com/api/health | jq .status 3 4# Check API v1 5curl -sL https://www.fuzzycatapp.com/api/v1/health | python3 -m json.tool 6 7# Check deployment status 8vercel ls 2>/dev/null | head -5

FuzzyCat-Specific

  • Project: fuzzy-cat-apps-projects/fuzzycat
  • Production URL: https://www.fuzzycatapp.com
  • Framework: Next.js (auto-detected by Vercel)
  • Build command: next build (Vercel default)
  • Preview deploys: Currently disabled via vercel.json ignoreCommand
  • Auto-deploys: Triggered by pushes to main branch on GitHub
  • Environments: Development, Preview, Production (each with separate env vars)

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