ClaudeForge

# CLAUDE.md for [COMPANY] in the [INDUSTRY] Sector

## Overview
This CLAUDE.md file provides a comprehensive guide for using Claude Code at [COMPANY]. It includes best practices, installation instructions, and usage examples tailored to the [INDUSTRY] sector.

## Best Practices
- **Data Handling**: Ensure all data used in Claude Code is up-to-date and relevant to the [INDUSTRY] sector.
- **Security**: Implement robust security measures to protect sensitive information.
- **Performance**: Optimize code for performance to handle large datasets efficiently.

## Installation Instructions
1. **Prerequisites**: Ensure you have Python 3.8 or later installed.
2. **Clone the Repository**: Use the following command to clone the repository:
   ```bash
   git clone https://github.com/[COMPANY]/claude-code.git
   ```
3. **Install Dependencies**: Navigate to the cloned repository and install the dependencies:
   ```bash
   pip install -r requirements.txt
   ```

## Usage Examples
### Example 1: Data Analysis
```python
import claude_code

# Initialize the Claude Code client
client = claude_code.Client(api_key='your_api_key')

# Load data from a CSV file
data = client.load_data('data.csv')

# Perform data analysis
analysis = client.analyze_data(data)
print(analysis)
```

### Example 2: Automated Reporting
```python
import claude_code

# Initialize the Claude Code client
client = claude_code.Client(api_key='your_api_key')

# Generate a report
report = client.generate_report(data)
client.save_report(report, 'report.pdf')
```