Fullstack Template Generator

Fullstack Template Generator

Overview

This skill automates the creation of a production-ready fullstack application template featuring:

Backend (Python + FastAPI)

• FastAPI framework with async support
• OpenAI ChatGPT API integration
• CORS middleware configured for frontend communication
• Comprehensive error handling and validation
• Environment-based configuration
• Auto-generated API documentation (Swagger UI)
• Pydantic models for request validation

Frontend (React + Vite)

• Modern React 19 with Vite 7 for fast development
• Tailwind CSS 3 configured with PostCSS + autoprefixer
• shadcn/ui primitives (Button, Card, Input, Textarea) powered by class-variance-authority, clsx, and tailwind-merge
• Lucide icons and Framer Motion for polished micro-interactions
• Axios for API communication
• Clean, responsive chat UI built entirely with Tailwind utilities
• Error handling and loading states
• Hot Module Replacement (HMR)

What This Skill Creates

When invoked, this skill generates a complete project structure with:

project-name/
├── README.md
├── backend/
│   ├── .env.example
│   ├── .gitignore
│   ├── main.py
│   ├── requirements.txt
│   └── tests/
│       └── __init__.py
└── frontend/
    ├── .gitignore
    ├── index.html
    ├── package.json
    ├── vite.config.js
    ├── eslint.config.js
    ├── tailwind.config.js
    ├── postcss.config.js
    ├── public/
    │   └── vite.svg
    └── src/
        ├── App.jsx
        ├── main.jsx
        ├── index.css
        ├── lib/
        │   └── utils.js
        ├── components/
        │   └── ui/
        ├── assets/
        ├── hooks/
        ├── pages/
        └── styles/

When to Use This Skill

Invoke this skill when the user:

• Wants to create a new fullstack web application
• Needs both a REST API backend and React frontend
• Requests a Python + React project setup
• Asks for a FastAPI + Vite template
• Wants OpenAI integration in their application
• Needs a quick start for a full-stack project

How to Generate the Template

1. Ask the user for the project name and target directory location.
2. Create the directory structure as shown above.
3. Copy template files from the templates/ directory:
   • Backend files from templates/backend/
   • Frontend files from templates/frontend/
   • Root README from templates/README.md.template
4. For .template files: Remove the .template suffix when copying.
5. Ensure Tailwind/shadcn assets are included:
   • Copy tailwind.config.js, postcss.config.js, and src/index.css
   • Copy src/lib/utils.js and the src/components/ui directory so shadcn primitives are ready to use
6. Customize as needed: Update project names in package.json if requested.
7. Provide setup instructions to the user:
   • Backend setup (create .env, install dependencies)
   • Frontend setup (install dependencies)
   • How to run both servers

Key Features Included

Backend API Endpoints

• GET / - Health check endpoint
• GET /test - Test connectivity
• POST /chat - OpenAI ChatGPT integration
  • Accepts: {"message": "...", "model": "gpt-4-turbo-preview"}
  • Returns: AI response with token usage

Frontend Features

• Chat interface with input and send button
• Test endpoint button
• Real-time loading states
• Error display and handling
• Tailwind CSS-powered light theme using shadcn/ui components, Lucide icons, and Framer Motion animations
• Responsive design

Configuration

• Environment variable management (.env)
• CORS configured for localhost:5173
• OpenAI API key integration
• Comprehensive error handling

Post-Generation Instructions for User

After generating the template, provide these instructions:

# Backend Setup
cd project-name/backend
python -m venv venv
# Activate venv (Windows: venv\Scripts\activate, Mac/Linux: source venv/bin/activate)
pip install -r requirements.txt
# Create .env file and add OPENAI_API_KEY
python -m uvicorn main:app --reload

# Frontend Setup (in new terminal)
cd project-name/frontend
npm install
npm run dev

Notes

• The template includes comprehensive README.md with full documentation
• All configuration files are pre-configured and ready to use
• Template supports both development and production deployments
• Includes .gitignore files to prevent committing sensitive data
• Ready for Git initialization and version control