Project Setup

Smart project initialization with modern tooling and best practices for your development workflow.

Usage

/project-setup              # Interactive project setup
/project-setup astro-blog   # Astro blog project
/project-setup python-cli   # Python CLI tool
/project-setup react-app    # Vite + React SPA

Interactive Questionnaire

First, gather these details:

1. Project name: What would you like to call this project?
2. Project type: What kind of project is this?
   • Static site (Astro, Vite)
   • React app (Vite, Next.js)
   • Full-stack app (Express + React, etc.)
   • CLI tool (Node.js or Python)
   • Python web (FastAPI, Flask)
   • Monorepo (multiple packages)
   • Library (NPM package or Python module)
3. Features needed:
   • TypeScript?
   • Testing framework?
   • Linting/Formatting (ESLint + Prettier)?
   • Git repository?
   • Docker setup?
   • CI/CD (GitHub Actions)?
4. Any specific libraries or tools you know you'll need?

What It Does

1. Detect project type from context or ask for clarification
2. Initialize git repository with .gitignore
3. Set up package manager (npm/pnpm/yarn for JS, poetry/pip for Python)
4. Configure ESLint and Prettier for JS/TS projects
5. Set up TypeScript with proper configs
6. Create basic project structure
7. Add VS Code settings
8. Configure pre-commit hooks with husky
9. Set up basic CI/CD with GitHub Actions
10. Add README with project information

Project Types

Astro

Blog, portfolio, documentation site. Includes content collections, API routes, and markdown support.

Vite + React

SPA and interactive applications. Includes React Router, state management setup, and component structure.

Express API

REST API and microservices. Includes routing, middleware, error handling, and validation with Zod.

Python CLI

Automation tools and scripts. Uses Click/Typer for CLI, Rich for output, and pytest for testing.

Python Web

FastAPI or Flask applications. Includes async support, Pydantic models, and structured project layout.

Monorepo

Multiple related projects. Uses pnpm workspaces or Turborepo for package management.

Library

NPM package or Python module. Includes build configuration, type declarations, and publishing setup.

Auto-Configuration

• Detects existing tools in ~/Code
• Uses your ESLint/Prettier preferences
• Integrates with your GitHub account
• Adds Datadog monitoring boilerplate

Learning Mode

All projects are created in ~/Code with explanations for each configuration choice, alternative options, and next steps documentation to help you learn.