Deploy planner

Skill batterfried-philosophy172/Agent-Startup-Skills/skills/deploy-planner

Build SaaS products using an 8-phase AI agent pipeline with mandatory approval gates for Antigravity, Claude Code, and Codex.

Install

npx -y skills add batterfried-philosophy172/Agent-Startup-Skills --skill deploy-planner

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One thing to look at

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What its author says it does

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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.md

2.8 KB, as published. Nobody here has run it

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:

## 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