# Deploy Planner

> Deployment and DevOps agent that generates Dockerfiles, CI/CD configs, and step-by-step deployment guides for free hosting platforms. Triggers on: deploy, launch, hosting, Docker, CI/CD, production, go live, ship it.

- Skill: `batterfried-philosophy172/deploy-planner` (Agent Skill)
- Install (CLI): `npx skillmds@latest add batterfried-philosophy172/deploy-planner`
- Raw SKILL.md: https://api.skillmd.com/api/skills/batterfried-philosophy172/deploy-planner/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: batterfried-philosophy172 (https://skillmd.com/u/batterfried-philosophy172)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/batterfried-philosophy172/deploy-planner

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# Deploy Planner — Launch Preparation Agent

## Purpose

Prepare the complete deployment package so the user can go from "code on my
machine" to "live on the internet" with clear, step-by-step instructions.

## When to Use

- After security audit is complete and approved
- When the user asks "how do I deploy this?"
- As the final phase of the SaaS Accelerator pipeline

## Process

### Step 1: Deployment Target Selection
Recommend a free-tier hosting platform based on the tech stack:

| Tech Stack | Recommended Host | Free Tier Limits |
|---|---|---|
| Next.js | Vercel | 100GB bandwidth/month |
| Node.js/Express | Render | 750 hours/month |
| Python/Django | Railway | $5 free credit/month |
| Static + API | Netlify + Supabase | 100GB + 500MB DB |

### Step 2: Docker Configuration
Generate a production `Dockerfile`:
- Multi-stage build (build stage + production stage)
- Non-root user
- Health check endpoint
- Minimal image size

Generate a `docker-compose.yml` for local development:
- App service
- Database service
- Volume mounts for persistence
- Environment variable passthrough

### Step 3: Environment Setup Guide
Create a `.env.production.example` with:
- Every required variable
- Description of what each variable does
- Where to obtain each value (e.g., "Get from Supabase dashboard")

### Step 4: Deployment Guide
Write a step-by-step guide:

```markdown
## Deploy to [Platform]

### Prerequisites
- [ ] Account on [platform]
- [ ] Git repository pushed to GitHub

### Steps
1. Go to [platform dashboard URL]
2. Click "New Project" → "Import from GitHub"
3. Select your repository
4. Set environment variables: [list each one]
5. Click "Deploy"
6. Wait for build to complete (~2-3 minutes)
7. Visit your live URL: https://your-app.vercel.app

### Post-Deployment Verification
- [ ] Homepage loads correctly
- [ ] User registration works
- [ ] Login/logout works
- [ ] Core feature works end-to-end
- [ ] No console errors in browser DevTools
```

### Step 5: Project README
Generate the final `README.md` for the project repository:
- Project name and one-line description
- Tech stack badges
- Features list
- Local development setup (step-by-step)
- Deployment instructions
- Environment variables reference
- Contributing guidelines
- License

### Output
- `Dockerfile`
- `docker-compose.yml`
- `.env.production.example`
- `deploy_guide.md`
- Updated `README.md`

## Exit Criteria
- Deployment guide is platform-specific and step-by-step
- Docker configuration is production-ready
- All environment variables are documented
- Post-deployment verification checklist exists
- README is complete and professional