A specialized skill for retrieving real-time weather measurements and forecasts directly from the official Swiss Federal Office of Meteorology and Climatology.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install swissweather
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install swissweather using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
SwissWeather is a robust integration designed for developers and AI agents needing hyper-local, high-accuracy meteorological data for Switzerland. Unlike generic global weather services, this Openclaw Skills module taps directly into the MeteoSwiss network of over 100 automated stations, providing real-time observations and postal code-based forecasts without requiring an API key.
By leveraging official government data sources, it ensures maximum reliability for temperature, humidity, wind, and radiation metrics. This makes it an essential component for any workflow requiring precise Swiss environmental context, from logistics planning to regional data analysis within the Openclaw Skills ecosystem.
To get started with SwissWeather in your Openclaw Skills environment, ensure you have Python installed and run the following command to install dependencies:
pip3 install requests
You can then verify the installation by querying a major station:
scripts/current_weather.py --station ZRH
The skill provides structured data covering current measurements and multi-day forecasts. Below are the primary fields available:
| Field | Description | Unit |
|---|---|---|
| Temperature | Air temperature at 2m height | °C |
| Humidity | Relative humidity | % |
| Wind Speed | Current wind velocity | km/h |
| Precipitation | Recent rainfall volume | mm |
| Pressure | Sea level or station level pressure | hPa |
| Radiation | Global solar radiation | W/m² |
Forecast data includes daily min/max temperatures, precipitation probability, and weather icon mappings for visual displays.
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