smart-aircon

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Smart aircon advisor that uses weather data and research-based guidelines to recommend optimal AC settings. Use when user asks for temperature advice, comfort optimization, sleep mode setup, energy saving tips, weather-based AC recommendations, or general aircon guidance. Triggers: "smart aircon", "comfortable temperature", "optimal setting", "sleep mode", "energy saving", "weather-based AC", "what temperature should I set", "is my AC setting good", "how should I use the AC", "aircon recommendation"

r1cA18 By r1cA18 schedule Updated 3/1/2026

name: smart-aircon description: > Smart aircon advisor that uses weather data and research-based guidelines to recommend optimal AC settings. Use when user asks for temperature advice, comfort optimization, sleep mode setup, energy saving tips, weather-based AC recommendations, or general aircon guidance. Triggers: "smart aircon", "comfortable temperature", "optimal setting", "sleep mode", "energy saving", "weather-based AC", "what temperature should I set", "is my AC setting good", "how should I use the AC", "aircon recommendation"

Smart Aircon Advisor

Recommend optimal AC settings based on current conditions (weather, time, room state).

Workflow

Step 1: Gather Data

Collect before making recommendations:

  1. Room status: Call aircon_status MCP tool
  2. Weather: Fetch from Open-Meteo (no API key needed):
https://api.open-meteo.com/v1/forecast?latitude=LAT&longitude=LON&current=temperature_2m,relative_humidity_2m,apparent_temperature,weather_code&hourly=temperature_2m,relative_humidity_2m,apparent_temperature&forecast_hours=12&timezone=auto

Default location (Tokyo): latitude=35.68, longitude=139.77. Ask user for location if unknown.

  1. Time context: Current time for time-of-day adjustments.

Step 2: Analyze and Recommend

Read the appropriate references based on the user's question:

Provide recommendations covering: temperature, mode, wind speed, Plasmacluster, and any health alerts.

Step 3: Apply (with confirmation)

Present recommendations, then ask if the user wants to apply. Use MCP tools: aircon_power, aircon_temperature, aircon_mode, aircon_windspeed, aircon_plasmacluster.

Output Guidelines

Include in recommendations:

  • Current conditions (room temp, outdoor temp/humidity, current AC state)
  • Recommended settings with reasoning
  • Health alerts if applicable
  • Energy saving tips if relevant

Device Info

  • Sharp AY-L22H-W (6 tatami / ~10m2 room)
  • Temperature range: 16-30C (hardware limit)
Install via CLI
npx skills add https://github.com/r1cA18/sharp-aircon-mcp --skill smart-aircon
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