ExodiaOS Roles

This repository contains a collection of roles for the Exodia OS Assistant, organized into two main categories:

• official/: Officially maintained roles by the Exodia OS team.
• community/: Community-contributed roles for extending and customizing the Exodia OS Assistant.

Structure

• official/ - Official roles, curated and supported by the Exodia OS maintainers.
• community/ - Roles contributed by the community. These may vary in quality and support.

Contributing

Contributions are welcome! Please see the README files in each directory for more details on contributing to official or community roles.

What are Roles?

Roles in Exodia Assistant are specialized environments that provide tailored tools, learning materials, roadmaps, and hands-on content for different professional domains. Each role creates a customized workspace with domain-specific resources.

Available Roles:

1. CS Student Role (Implemented)

• Tools: Python, GCC (C/C++), SQLite, Git, GitHub CLI, VS Code, JetBrains ToolBox, AI coding assistants (Cursor, WindSurf)

• Materials: Programming fundamentals, Data Structures & Algorithms, Computer Architecture, Databases, Networking

• Benefits: Complete development environment setup for computer science students

2. DevOps Role (Implemented)

• Tools: Docker, Kubernetes, Jenkins, Terraform, Ansible, AWS CLI, monitoring tools

• Materials: CI/CD pipelines, infrastructure as code, cloud platforms, automation

• Benefits: Streamlined DevOps toolchain and learning resources

3. Backend Role (Planned)

• Tools: Java, Spring Boot, Node.js, databases, API development tools

• Materials: Server-side development, database design, API design, microservices

• Benefits: Complete backend development environment

4. Frontend Role (Planned)

• Tools: React, Vue.js, Angular, HTML/CSS/JS tools, design software

• Materials: UI/UX design, frontend frameworks, responsive design

• Benefits: Modern frontend development toolkit

5. MLOps Role (Planned)

• Tools: Python ML libraries, Jupyter, TensorFlow, PyTorch, MLflow, Kubeflow

• Materials: Machine learning, data science, model deployment, ML pipelines

• Benefits: Complete machine learning and data science environment

Key Benefits of the Role System:

🎯 Specialized Environments

• Each role provides a curated set of tools and resources specific to that domain

• One-click installation of all necessary software and dependencies

• Pre-configured development environments

�� Learning Resources

• Role-specific learning materials and tutorials

• Structured roadmaps for skill development

• Hands-on projects and exercises

⚡ Productivity Boost

• Eliminates time spent setting up development environments

• Provides best practices and recommended tools for each domain

• Streamlines the onboarding process for new technologies

🔄 Extensibility

• Users can create custom roles for their specific needs

• Easy to add new tools and materials to existing roles

• Modular architecture allows for role customization

�� User Experience

• Clean, organized interface for each role

• Searchable materials and documentation

• Integrated tool management and installation

💼 Professional Development

• Helps users focus on their specific career path

• Provides industry-standard tools and practices

• Supports continuous learning and skill development

The role system essentially transforms Exodia Assistant from a general system utility into a comprehensive professional development platform that adapts to different career paths and learning objectives.

Showcase

Below are some screenshots showcasing the Exodia OS Roles in action:

Role Overview	Role Selection	Role Creation	Role Exploration

Role Roadmap	Role Materials	Role Hands-On	Role Environment Setup