Skill UI

Guides engineers through initializing MCUs, crafting RTOS-aware drivers, and tuning power/timing for STM32, ESP32, and bare-metal targets; covers constraint analysis, interrupt safety, resource tracking, and validation with static analysis and real-time debugging.

Automates end-to-end provisioning for freshly plugged M5Stack or ESP32 boards: detect the device, flash UIFlow 2.0 firmware, and install a MicroPython app bundle. Useful for first-time setup, reflashing, app refresh, and smoke testing.

A comprehensive set of programmatic interfaces for RuView's Wi-Fi sensing capabilities, including the CLI binary, REST API, and WebAssembly builds. This toolkit allows developers to integrate sophisticated disaster survivor detection and signal analysis into various environments, such as scripting, web browsers, and edge devices (ESP32-WASM3). Ideal for systems requiring cross-platform, scalable sensing data streams.

A comprehensive guide for bringing RuView CSI sensing nodes (ESP32-S3/C6) online. This skill covers the full lifecycle: building the embedded firmware, flashing the device, provisioning WiFi credentials, and confirming the Continuous Sensing Image (CSI) data stream. Essential for physical hardware deployment and debugging of complex sensing systems.

This guide provides a comprehensive onboarding process for RuView (WiFi-DensePose). It details three deployment tiers: Docker simulation for quick testing and UI exploration, source code build verification (Rust/Python), and live sensing setup utilizing ESP32 hardware. Ideal for new users or rapid prototyping.