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Smart Home

Проверено
от @iot_tinkerer IoT & Smart Home

Control your smart home through chat. Integrates with Home Assistant, Philips Hue, Tuya, and MQTT devices. Set scenes, automate routines, check sensor data, and manage devices across your entire home — all with natural language commands.

terminal

Установка

$ claw install smart-home

Настройка

Настрой переменные окружения в файле .env или манифесте навыка.

VARIABLE DESCRIPTION DEFAULT
HASS_URL Home Assistant instance URL http://homeassistant.local:8123
HASS_TOKEN Home Assistant long-lived access token
HUE_BRIDGE_IP Philips Hue bridge IP address (optional)

Использование

User: "Turn off all lights except the bedroom, set the thermostat to 22°C, and lock the front door."
Claw:

// Smart home skill activated

check_circle Lights off: Living room, Kitchen, Office, Hallway

lightbulb Bedroom light: ON (kept as requested)

Thermostat → 22°C (was 24°C)
Front door → Locked ✓
Current energy usage: 1.2 kWh

Манифест навыка (JSON)

{
  "name": "smart-home",
  "version": "1.1.0",
  "permissions": [
    "homeassistant.devices.read",
    "homeassistant.devices.write",
    "hue.lights.control"
  ],
  "trigger": "regex:/(turn|set|dim|lock|unlock|check) .*(light|thermostat|door|sensor|scene).*/i",
  "engine": "node-20"
}

Отзывы

4.5
starstarstarstarstar_half
Средняя оценка
96 Всего отзывов
home
@iannuttall verified Проверенный пользователь
starstarstarstarstar

Gave OpenClaw its first home — literally. Controlling my entire house through Telegram is the future. The Home Assistant integration is rock solid and the scene management is intuitive.

weekend
@lazy_dev verified Проверенный пользователь
starstarstarstarstar_outline

The "goodnight" routine I set up turns off all lights, locks doors, sets the alarm, and adjusts the thermostat. One message does it all. Tuya support could be better though.

bolt
@energy_nerd
starstarstarstarstar_outline

Love the energy monitoring integration. Getting daily reports on power consumption per room helped me cut my electricity bill by 15%. Sensor data queries are fast and accurate.

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