Worked on documentation-driven onboarding improvements for the volcengine/ai-app-lab repository, focusing on the Quant Trading and Stock Trading AI Assistant modules. Enhanced Linux installation guides and cross-linked documentation across demohouse and module namespaces to streamline discoverability and reduce onboarding friction. Used Markdown and Python to update README references, clarify installation steps, and provide detailed explanations of usage principles, ensuring consistency across platforms. Coordinated cross-repository documentation updates to keep module namespaces in sync, which helped lower support overhead. The work emphasized AI integration, configuration, and documentation, resulting in two new features that improved the clarity and accessibility of onboarding materials.