Simplifie le déploiement d'apps web sur Vercel, Railway et Supabase en détectant le projet, vérifiant les CLI, recommandant la plateforme et exécutant le dép...
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install deploy-kitOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install deploy-kitâ ïž Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js â
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/deploy-kit/đĄExtract and place the folder at the path above, then restart your agent.
Category
đ»Developer & DevOpsPlatforms
What Deploy Kit can do for your AI workflow
Simplifie le déploiement directly from your Claude conversation
Works across Claude, Cursor, OpenClaw â install once, use everywhere
Trusted by 1,891+ developers worldwide
One-command installation â no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Deploy Kit
Help me get started with Deploy Kit
Explains what Deploy Kit does, walks through the setup, and runs a quick demo based on your current project
Use Deploy Kit to simplifie le déploiement d'apps web sur Vercel, Railway et Supabase...
Invokes Deploy Kit with the right parameters and returns the result directly in the conversation
What can I do with Deploy Kit in my developer & devops workflow?
Lists the top use cases for Deploy Kit, with example commands for each scenario
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Deploy Kit extends your AI assistant with the ability to simplifie le dĂ©ploiement d'apps web sur Vercel, Railway et Supabase en dĂ©tectant le projet, vĂ©rifiant les CLI, recommandant la plateforme et exĂ©cutant le dĂ©p... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly â and it will take care of the task end-to-end, using Deploy Kit as its underlying capability.
Deploy Kit works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) â an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Deploy Kit once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Deploy Kit takes about two minutes. Place the skill at `~/.claude/skills/deploy-kit/` (personal, all projects) or `.claude/skills/deploy-kit/` (project-specific), then restart your AI client. From that point, typing `/deploy-kit` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Deploy Kit has been installed 1,891 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/deploy-kit/ for personal use (all projects), or .claude/skills/deploy-kit/ for project-specific use. Restart your AI client, then invoke with /deploy-kit or let the AI discover it automatically.
Deploy Kit supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Deploy Kit is free to install. Check the repository for licensing information.
Simplifie le déploiement d'apps web sur Vercel, Railway et Supabase en détectant le projet, vérifiant les CLI, recommandant la plateforme et exécutant le dép...
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Identifies repetitive steps in your workflow and sets up Deploy Kit to handle them automatically
Deploy Kit is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.
render
Deploy and operate apps on Render (Blueprint + one-click Dashboard deeplink, same flow as Codex render-deploy). Use when the user wants to deploy, host, or publish an app; create or edit render.yaml; add web, static, workers, cron, Postgres, or Key Value; get the Blueprint deeplink to deploy; trigger or verify deploys via API when RENDER_API_KEY is set; connect Render MCP via mcporter for direct service creation; or configure env vars, health checks, scaling, previews, and projects.