Kanchi Dividend Sop

Best practices for using Radon IDE's MCP tools when developing, debugging, and inspecting React Native and Expo apps. Use when interacting with a running app through Radon IDE - viewing screenshots, reading logs, inspecting the component tree, debugging network requests, reloading the app, or querying React Native documentation and library info. Trigger on: 'debug React Native', 'fix UI', 'network issues', 'build issues', 'Radon IDE', 'view screenshot', 'app logs', 'component tree', 'network inspector', 'reload app', 'React Native docs', 'library description', 'emulator', 'development viewport', 'view_screenshot', 'view_application_logs', 'view_component_tree', 'reload_application', 'view_network_logs', 'view_network_request_details', 'query_documentation', 'get_library_description', and every request involving live app inspection, debugging or development in a Radon IDE session.

Build 3D web apps with Three.js (WebGL/WebGPU). Use for 3D scenes, animations, custom shaders, PBR materials, VR/XR experiences, games, data visualizations, product configurators.

Build responsive, mobile-first web applications. Use when implementing responsive layouts, touch interactions, mobile navigation, or optimizing for various screen sizes. Triggers on responsive design, mobile-first, breakpoints, touch events, viewport.

Deep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.

Record and analyze post-trade outcomes for signals generated by edge pipeline and other skills. Track false positives, missed opportunities, and regime mismatches. Feed results back to edge-signal-aggregator weights and skill improvement backlog.

Build and run Gemini 2.5 Computer Use browser-control agents with Playwright. Use when a user wants to automate web browser tasks via the Gemini Computer Use model, needs an agent loop (screenshot → function_call → action → function_response), or asks to integrate safety confirmation for risky UI actions.