KS
Killer-Skills

vercel — how to use Vercel CLI how to use Vercel CLI, Vercel deployment management, Vercel alternative, Vercel vs Netlify, Vercel install guide, Vercel setup tutorial, what is Vercel, Vercel benefits for developers, Vercel deployment automation

v1.0.0
GitHub

About this Skill

Perfect for DevOps Agents needing streamlined Vercel deployment management and inspection capabilities. Vercel is a platform for deploying and managing web applications, utilizing the Vercel CLI for deployment management and inspection.

Features

Manages FuzzyCat's Vercel deployments via the Vercel CLI
Lists recent deployments using the `vercel ls` command
Retrieves latest deployment URL with `vercel ls --json`
Inspects deployment details with `vercel inspect <deployment-url>`
Views deployment logs for debugging and monitoring

# Core Topics

Vero-Ventures Vero-Ventures
[0]
[0]
Updated: 3/4/2026

Quality Score

Top 5%
60
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add Vero-Ventures/fuzzycat/vercel

Agent Capability Analysis

The vercel MCP Server by Vero-Ventures is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use Vercel CLI, Vercel deployment management, Vercel alternative.

Ideal Agent Persona

Perfect for DevOps Agents needing streamlined Vercel deployment management and inspection capabilities.

Core Value

Empowers agents to manage FuzzyCat's Vercel deployments using the Vercel CLI, providing features like deployment inspection, log viewing, and URL retrieval via JSON output, leveraging Python for data parsing and utilizing protocols like CLI commands.

Capabilities Granted for vercel MCP Server

Inspecting recent Vercel deployments
Retrieving latest deployment URLs
Debugging deployment issues with log viewing

! Prerequisites & Limits

  • Requires Vercel CLI installation at ~/.bun/bin/vercel
  • Needs prior authentication
  • Dependent on Python 3 for JSON data parsing
Project
SKILL.md
2.7 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

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)

Related Skills

Looking for an alternative to vercel or building a Categories.community AI Agent? Explore these related open-source MCP Servers.

View All

widget-generator

Logo of f
f

widget-generator is an open-source AI agent skill for creating widget plugins that are injected into prompt feeds on prompts.chat. It supports two rendering modes: standard prompt widgets using default PromptCard styling and custom render widgets built as full React components.

149.6k
0
Design

chat-sdk

Logo of lobehub
lobehub

chat-sdk is a unified TypeScript SDK for building chat bots across multiple platforms, providing a single interface for deploying bot logic.

73.0k
0
Communication

zustand

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication

data-fetching

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication