How this automation works
Automate your computer’s night setup as daylight fades. This applet runs within 15 minutes of sunset in your selected location, activating your chosen TRIGGERcmd command. Perfect for creating a cozy evening environment or preparing your workspace for nighttime use.
Trigger ingredients
Action fields
Services used in this Applet
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Create your own TRIGGERcmd and Weather Underground workflow
Create custom workflows effortlessly by selecting triggers, queries, and actions. With IFTTT, it's simple: “If this” trigger happens, “then that” action follows. Streamline tasks and save time with automated workflows that work for you.
31 triggers, queries, and actions
Any command
Current condition changes to
Current humidity level rises above
Current pollen count rises above
Current temperature drops below
Current temperature rises above
Current UV index rises above
Specific command
Sunrise
Sunset
Today's weather report
Tomorrow's forecast calls for
Trigger Command
Any command
Current condition changes to
Current humidity level rises above
Current pollen count rises above
Current temperature drops below
Current temperature rises above
Current UV index rises above
Build an automation in seconds!
You can add delays, queries, and more actions in the next step!
More on TRIGGERcmd and Weather Underground
About TRIGGERcmd
Run commands on your computers remotely
- Go to triggercmd.com and create an account
- Install an agent on your Windows, Mac, Linux, or Raspberry Pi computer
- Setup commands you want to run on the computer
Trigger your commands via IFTTT
Run commands on your computers remotely
- Go to triggercmd.com and create an account
- Install an agent on your Windows, Mac, Linux, or Raspberry Pi computer
- Setup commands you want to run on the computer
Trigger your commands via IFTTT
About Weather Underground
Connect the services and devices you love to hyperlocal weather data, powered by the world's largest Personal Weather Station Network.
Connect the services and devices you love to hyperlocal weather data, powered by the world's largest Personal Weather Station Network.