What problem does it solve? Developing Matter-connected products with Espressif's esp-lowcode-matter framework requires precise knowledge of its HP/LP dual-core model, low_code event/feature APIs, and strict initialization ordering—mistakes cause silent failures or LP Core panics. This Skill grounds AI code generation in the real repository APIs, recipes, and pitfalls so firmware works correctly. ## Core Features & Use Cases - Scenario Recipes: 16 step-by-step recipes covering environment setup, product creation, setup/loop skeleton, feature/event handling, GPIO, buttons, lights (PWM/WS2812), relay sockets, timers, SHT30, LD2420, SSD1306, thermostat, and debugging. - Real API & Config Reference: Verified function signatures for low_code, system, button, relay, light, and sensor components, plus product_info.json fields, Kconfig options, pin mappings, and flash addresses. - Pitfall Prevention: 14 critical WRONG/CORRECT patterns (e.g., system_setup() first, callback registration before driver init, no malloc on LP Core) plus panic diagnosis with addr2line. - Use Case: Ask the AI to create a Matter temperature sensor product; it scaffolds app_main.cpp/app_driver.cpp from the closest real product, wires SHT30 periodic reporting via system_timer, and gives exact build/flash commands. ## Quick Start Ask the AI to create a new LowCode Matter product such as a smart plug or temperature sensor for ESP32-C6, and it will generate the firmware and build steps.
