# Deploying To Production

> Automate creating a GitHub repository and deploying a web project to Vercel. Use when the user asks to deploy a website/app to production, publish a project, or set up GitHub + Vercel deployment.

- Skill: `aiskillstore/deploying-to-production` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add aiskillstore/deploying-to-production`
- Raw SKILL.md: https://api.skillmd.com/api/skills/aiskillstore/deploying-to-production/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: aiskillstore (https://skillmd.com/u/aiskillstore)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/aiskillstore/deploying-to-production

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# Deploying to Production

Use this workflow when a user says "deploy this website/app" or similar. Follow the checklist in order and do not skip steps.

## Deployment Workflow

- [ ] Step 1: Run build and verify no errors
- [ ] Step 2: Create GitHub repository
- [ ] Step 3: Push code to GitHub
- [ ] Step 4: Deploy to Vercel
- [ ] Step 5: Verify deployment

### Step 1: Run build

Run:

`npm run build`

If build fails, read the errors, fix issues, and run again. Only proceed when build succeeds.

### Step 2: Create GitHub repository

Create a new GitHub repository for the project. If the repo already exists, confirm whether to reuse or create a new one.

### Step 3: Push code to GitHub

Initialize git if needed, add remote, and push the default branch. Confirm the repository contains the expected code.

### Step 4: Deploy to Vercel

Deploy the GitHub repo to Vercel. Capture the deployment URL.

### Step 5: Verify deployment

Verify the live deployment by opening the URL or checking a response. If verification fails, diagnose and redeploy.