P.O.C.E.-Project-Creator

P.O.C.E. Project Creator v4.0

Prompt Orchestrator + Context Engineering

An advanced DevOps automation tool that creates professional GitHub repositories with comprehensive CI/CD pipelines, automated testing, security scanning, and performance monitoring.

🚀 Key Features

• DevOps Automation: Complete CI/CD pipeline setup with GitHub Actions
• Intelligent MCP Server Selection: Optimized server discovery and synergy calculation via Smithery.ai
• Cascading Workflows: Parallel task execution with dependency resolution
• Security-First: Automated security scanning and compliance checks
• Performance Monitoring: Real-time metrics and alerting
• 3D Metal GUI: Professional interface with realistic metal styling
• YAML-Driven Configuration: Granular control over all aspects
• Resource Optimization: Maximum efficiency and speed

📋 System Requirements

Minimum Requirements

• OS: Windows 10/11, macOS 10.15+, or Linux (Ubuntu 18.04+)
• Python: 3.9 or higher (3.11 recommended)
• RAM: 4GB minimum (8GB recommended)
• Storage: 2GB free space
• Network: Stable internet connection for GitHub API and MCP server discovery

Recommended Requirements

• OS: Latest stable versions
• Python: 3.11 or 3.12
• RAM: 16GB for optimal performance
• CPU: Multi-core processor for parallel task execution
• Storage: SSD with 10GB free space

🛠️ Installation

1. Clone the Repository

git clone https://github.com/brian95240/P.O.C.E.-Project-Creator.git
cd P.O.C.E.-Project-Creator

2. Create Virtual Environment

# Create virtual environment
python -m venv poce_env

# Activate virtual environment
# On Windows:
poce_env\Scripts\activate
# On macOS/Linux:
source poce_env/bin/activate

3. Install Dependencies

pip install -r requirements.txt

🚀 Quick Start

Basic Usage

python src/poce_project_creator_v4.py

CLI Usage

python src/poce_cli.py --help

Configuration

Edit src/poce_config.yaml to customize your project settings:

# Example configuration
project:
  name: "my-awesome-project"
  description: "An amazing project created with P.O.C.E."
  
github:
  auto_create_repo: true
  enable_actions: true
  
security:
  enable_scanning: true
  compliance_checks: true

📁 Project Structure

P.O.C.E.-Project-Creator/
├── 📄 README.md                      # Project documentation
├── 📄 LICENSE-GPL                    # GPL v3.0 license
├── 📄 LICENSE-COMMERCIAL              # Commercial license
├── 📄 setup.py                       # PyPI packaging configuration
├── 📄 requirements.txt               # Python dependencies
├── 📄 Dockerfile.txt                 # Docker configuration
├── 📁 src/                           # Source code directory
│   ├── poce_project_creator_v4.py    # Main application
│   ├── poce_master_orchestrator.py   # Core orchestration engine
│   ├── poce_cli.py                   # Command-line interface
│   ├── poce_config.yaml              # Configuration file
│   ├── doc_generator.py              # Documentation generator
│   ├── infrastructure_manager.py     # Infrastructure as Code manager
│   ├── monitoring_system.py          # Monitoring system
│   ├── security_manager.py           # Security manager
│   ├── performance_engine.py         # Performance optimizer
│   ├── mcp_integration.py            # MCP integration templates
│   ├── test_framework.py             # Testing framework
│   └── k8s_namespace.yaml            # Kubernetes configuration
├── 📁 docs/                          # Documentation directory
│   ├── P.O.C.E. Project Creator.txt
│   └── P.O.C.E. Project Creator v4.0 - Installation & Setup Guide.txt
└── 📁 .github/workflows/             # CI/CD automation
    └── main.yml                      # GitHub Actions workflow

🔧 Core Components

Master Orchestrator

The central engine that coordinates all project creation activities with intelligent workflow management.

MCP Integration

Advanced Model Context Protocol integration with Smithery.ai for optimal server selection and synergy calculation.

Security Manager

Comprehensive security scanning, vulnerability assessment, and compliance checking.

Performance Engine

Real-time performance monitoring, optimization suggestions, and resource management.

Documentation Generator

Automated generation of professional documentation, README files, and API docs.

🐳 Docker Support

Build and run with Docker:

# Build the image
docker build -f Dockerfile.txt -t poce-creator .

# Run the container
docker run -it poce-creator

☸️ Kubernetes Deployment

Deploy to Kubernetes:

kubectl apply -f k8s_namespace.yaml

🧪 Testing

Run the test suite:

python src/test_framework.py

📊 Monitoring

The built-in monitoring system provides:

• Real-time performance metrics
• Resource utilization tracking
• Error rate monitoring
• Custom alerting

🛡️ Security

P.O.C.E. includes comprehensive security features:

• Automated vulnerability scanning
• Dependency security checks
• Code quality analysis
• Compliance validation

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

This project is available under dual licensing:

• GPL v3.0: For open source projects and personal use (see LICENSE-GPL)
• Commercial License: For proprietary applications and commercial use (see LICENSE-COMMERCIAL)

For commercial licensing inquiries, please contact: brian95240@users.noreply.github.com

🆘 Support

For support and documentation, please refer to the How to set-up/ directory or open an issue on GitHub.

🔄 Version History

• v4.0: Latest version with MCP integration and advanced orchestration
• v3.x: Previous versions with basic automation features

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Created with ❤️ by the P.O.C.E. Team