Add AGENTS.md file with project instructions

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# Tschausepp - Jass Card Tracker
## Project Overview
Mobile-first React web app for tracking Schaffhauser (Jass) card game rounds using camera and feature matching to detect and assign cards to players.
## Tech Stack
- React 18 (lightweight runtime)
- TensorFlow.js (lite mode, CDN-hosted, ~5MB)
- HTML5 Camera API (Mobile-friendly)
- localStorage (JSON format, max 100 games)
## Key Implementation Details
### Architecture
- Component-based structure with 5 main screens:
1. Setup Screen - Player management and game configuration
2. Camera Screen - Live preview with card detection overlay
3. Detection Component - Card boundary detection using image processing
4. Assignment Component - Radial sector layout with auto-assignment
5. Results Screen - Score calculation and game results
6. History Screen - Game storage and export functionality
### Development Commands
- `npm run dev` - Start development server
- `npm run build` - Build production version
- `npm run preview` - Preview production build
### Camera & Detection
- Uses HTML5 Camera API with environment-facing camera preference
- Card detection implemented with custom image processing techniques
- Suit identification (Schellen, Schilten, Eicheln, Rosen) via color analysis
- Auto-assignment based on radial sector + nearest player calculation
### Data Storage
- Games stored in localStorage with maximum of 100 games
- Data structure follows: games → rounds → cards with player assignments
- JSON format for export functionality
### Mobile-First Design
- Responsive UI optimized for mobile devices
- Touch-friendly controls and interfaces
- Camera access optimized for mobile environment