DeepV-Ki transforms your code repository into an interactive Wiki, enhancing documentation with AI-driven features like RAG-based Q&A and automatic architecture diagrams. Perfect for developers seeking to streamline project documentation and collaboration.
claude install OrionStarAI/DeepV-KiDeepV-Ki transforms your code repository into an interactive Wiki, enhancing documentation with AI-driven features like RAG-based Q&A and automatic architecture diagrams. Perfect for developers seeking to streamline project documentation and collaboration.
1. **Prepare Your Code Repository**: Ensure your code repository is well-organized and includes clear comments and documentation. 2. **Integrate DeepV-Ki**: Use the DeepV-Ki tool to connect to your code repository. Follow the tool's instructions to authenticate and grant necessary permissions. 3. **Specify Project Details**: Provide the project name and any specific modules or components you want to focus on. 4. **Generate Documentation**: Run the DeepV-Ki tool to transform your code repository into an interactive Wiki. Review the generated documentation and make any necessary adjustments. 5. **Share and Collaborate**: Share the interactive Wiki with your team members. Use the RAG-based Q&A system to ask questions and receive accurate, context-aware responses. Utilize the automatic architecture diagrams to understand the project's structure and dependencies.
Generate interactive documentation for software projects
Create architecture diagrams automatically
Answer code-related questions using AI
Enhance team collaboration with organized Wiki
claude install OrionStarAI/DeepV-Kigit clone https://github.com/OrionStarAI/DeepV-KiCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Transform the code repository for [PROJECT_NAME] into an interactive Wiki. Generate AI-driven documentation including RAG-based Q&A and automatic architecture diagrams. Focus on the [SPECIFIC_MODULE] to highlight key functionalities and dependencies.
The interactive Wiki for the [PROJECT_NAME] repository has been successfully generated. The AI-driven documentation includes a comprehensive RAG-based Q&A system that allows developers to ask questions about the codebase and receive accurate, context-aware responses. For example, when asked about the authentication module, the system provides detailed information on the OAuth 2.0 implementation, token management, and security best practices. Additionally, automatic architecture diagrams have been created, visually representing the relationships between different modules and components. The diagrams include the user interface layer, business logic layer, and data access layer, with clear annotations explaining the interactions and dependencies. This interactive Wiki enhances collaboration and onboarding by providing a centralized, searchable, and up-to-date resource for the development team.
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