docs: remove legacy README

Author: S1M0N38

README.md

@@ -1,234 +1,3 @@
 # BalatroBench
 
-A community-driven benchmark platform for evaluating Large Language Models' strategic performance in Balatro through intelligent tool-calling and decision-making.
-
-## 🎯 What is BalatroBench?
-
-BalatroBench provides a standardized way to evaluate how well different AI models can play Balatro, the popular poker-inspired roguelike card game. The benchmark tests strategic thinking, decision-making, and tool-calling capabilities across different LLM models.
-
-## 🚀 Quick Start
-
-This is a **static website** that works with any web server or GitHub Pages. No build process required!
-
-### Local Development
-
-1. Clone the repository:
-```bash
-git clone <YOUR_GIT_URL>
-cd balatrobench
-```
-
-2. Serve the files locally:
-```bash
-# Using Python (recommended)
-python -m http.server 8000
-
-# Using Node.js (if you have it)
-npx serve .
-
-# Using any other static file server
-```
-
-3. Open http://localhost:8000 in your browser
-
-### GitHub Pages Deployment
-
-1. Push your changes to the `main` branch
-2. Go to repository Settings > Pages
-3. Set source to "Deploy from a branch" 
-4. Select `main` branch and `/ (root)` folder
-5. Your site will be available at `https://yourusername.github.io/balatrobench`
-
-## 📁 Project Structure
-
-```
-├── index.html              # Main page (Official Benchmark)
-├── community.html          # Community submissions page
-├── about.html             # About page with detailed information
-├── submit.html            # Redirects to CONTRIBUTING.md
-├── CONTRIBUTING.md         # Detailed submission guidelines
-├── js/
-│   └── app.js             # JavaScript for data loading and UI
-├── scripts/
-│   ├── process-benchmarks.js  # Benchmark data processor
-│   └── analyze-benchmarks.js  # Benchmark analysis tool
-├── data/
-│   ├── benchmarks/        # Raw benchmark data by version
-│   │   └── v0.2.0/
-│   │       └── default/
-│   │           ├── leaderboard.json      # Processed leaderboard
-│   │           ├── cerebras-*.json       # Individual benchmark runs
-│   │           └── ...
-│   ├── strategies/        # Strategy templates and tools
-│   │   └── default/
-│   │       ├── TOOLS.json               # Available game tools
-│   │       ├── STRATEGY.md.jinja        # Strategy template
-│   │       ├── MEMORY.md.jinja          # Memory template
-│   │       └── GAMESTATE.md.jinja       # Game state template
-│   └── leaderboard.json   # Main leaderboard (auto-generated)
-├── public/                # Static assets
-└── README.md
-```
-
-## 🏆 Official Benchmark
-
-The official leaderboard tracks performance across standardized seeds and configurations:
-
-- **Balatro Version**: v1.0.1n
-- **Framework**: BalatroLLM v0.2.0+
-- **Strategy**: Template-based strategic prompting system
-- **Seeds**: Consistent seeds for reproducibility  
-- **Metrics**: Average ante reached, win rate, token efficiency, completion rate
-- **Models**: Cerebras GPT-OSS-120B, Cerebras Qwen3-235B, and more
-
-## 👥 Community Contributions
-
-### Submitting Your Results
-
-There are two ways to contribute:
-
-#### Option 1: Submit Raw Benchmark Data (Recommended)
-
-1. **Run benchmarks** using the BalatroLLM framework
-2. **Add your results** to `data/benchmarks/v{version}/{strategy}/`
-   - Include the complete `{model}_benchmark.json` files
-   - These contain full game progression, LLM interactions, and tool calls
-3. **Process the data** using `node scripts/process-benchmarks.js`
-4. **Submit a Pull Request** with both raw data and updated leaderboard
-
-#### Option 2: Submit Strategy Documentation
-
-1. **Fork this repository**
-2. **Create strategy templates** in `data/strategies/{your-strategy}/`
-   - Copy the structure from `data/strategies/default/`
-   - Customize the Jinja2 templates for your approach
-3. **Document your methodology** with clear explanations
-4. **Submit a Pull Request** with title: "Strategy Contribution: [Your Strategy Name]"
-
-### Submission Requirements
-
-- ✅ Valid benchmark results from BalatroLLM v0.2.0+
-- ✅ Complete game progression data (not just summary statistics)
-- ✅ Clear strategy description and methodology  
-- ✅ Reproducible results with seed consistency
-- ✅ No offensive or inappropriate content
-
-## 🛠️ Technologies Used
-
-- **HTML5** - Semantic markup
-- **Tailwind CSS** - Styling (via CDN)
-- **Vanilla JavaScript** - Dynamic content loading
-- **Node.js** - Benchmark processing scripts
-- **Jinja2 Templates** - Strategy prompt templating
-- **Font Awesome** - Icons (via CDN)
-- **JSON** - Data storage and interchange
-
-## 📊 Data Management
-
-BalatroBench uses a sophisticated data management system:
-
-### Raw Benchmark Data
-- `data/benchmarks/v{version}/{strategy}/` - Versioned benchmark results
-- Individual files: `{model}_benchmark.json` - Complete run data with game progression, LLM interactions, and tool calls
-- Structured by version and strategy for historical tracking
-
-### Processed Data
-- `data/leaderboard.json` - Auto-generated leaderboard from all benchmark data
-- Aggregated statistics: performance scores, win rates, token efficiency
-- Generated by `scripts/process-benchmarks.js`
-
-### Strategy System
-- `data/strategies/default/` - Template-based strategy system
-- Jinja2 templates for consistent prompting across models
-- Tool definitions and game state templates
-
-### Processing Pipeline
-```bash
-# Process raw benchmark data into leaderboard
-node scripts/process-benchmarks.js
-
-# Alternative analysis tool
-node scripts/analyze-benchmarks.js
-```
-
-This approach provides:
-- Version control of all data and results
-- Automated leaderboard generation
-- Historical benchmark tracking
-- Reproducible evaluation methodology
-- No database setup required
-
-## 🤝 Contributing
-
-We welcome contributions! You can:
-
-1. **Submit strategies** via pull requests
-2. **Report issues** or suggest improvements
-3. **Improve the website** (design, features, documentation)
-
-## 📈 Adding New Official Results
-
-To add new benchmark results:
-
-### Adding Raw Benchmark Data
-
-1. **Add benchmark files** to `data/benchmarks/v{version}/{strategy}/`
-   - Use format: `{model}_benchmark.json`
-   - Include complete run data from BalatroLLM framework
-
-2. **Process the data** to update leaderboards:
-   ```bash
-   node scripts/process-benchmarks.js
-   ```
-
-3. **Submit a pull request** with both raw data and updated leaderboard
-
-### Data Processing Tools
-
-The project includes two processing scripts:
-
-- **`process-benchmarks.js`** - Primary tool for generating leaderboards from benchmark data
-- **`analyze-benchmarks.js`** - Alternative analysis tool with different aggregation methods
-
-Both scripts automatically scan the `data/benchmarks/` directory and process all available benchmark files.
-
-## 🔧 Development & Customization
-
-### Local Development Setup
-
-```bash
-# Clone the repository
-git clone <YOUR_GIT_URL>
-cd balatrobench
-
-# Install Node.js dependencies (for processing scripts)
-# No package.json yet - scripts use built-in Node.js modules
-
-# Serve the website locally
-python -m http.server 8000
-# or: npx serve .
-```
-
-### Customization Options
-
-- **Styling**: Modify Tailwind classes in HTML files
-- **Functionality**: Edit `js/app.js` for frontend behavior
-- **Data Processing**: Customize `scripts/process-benchmarks.js`
-- **Strategy Templates**: Add new templates in `data/strategies/`
-- **Pages**: Create new HTML files following the existing pattern
-
-### Processing Scripts
-
-- **Process benchmarks**: `node scripts/process-benchmarks.js`
-- **Alternative analysis**: `node scripts/analyze-benchmarks.js`
-- Both scripts output to `data/leaderboard.json`
-
-## 📜 License
-
-This project is open source. Feel free to use, modify, and distribute.
-
-## 🙋‍♀️ Support
-
-- Open an issue on GitHub
-- Join our Discord community  
-- Email: community@balatrobench.dev
+A benchmark platform for evaluating Large Language Models' strategic performance in Balatro through intelligent tool-calling and decision-making.