swissweather

What This Skill Does

The SwissWeather skill acts as a bridge between the OpenClaw agent and the official MeteoSwiss (Swiss Federal Office of Meteorology and Climatology) data streams. It allows the agent to retrieve precise, government-grade meteorological data for locations across Switzerland. Rather than relying on generalized global weather forecasts, this skill taps into over 100 automated ground stations to provide real-time metrics including temperature, humidity, wind, solar radiation, and barometric pressure. It also features a robust forecasting engine capable of fetching multi-day predictions based on Swiss postal codes. Whether you are monitoring micro-climates in alpine regions or simply checking the daily forecast in urban centers like Zurich or Geneva, this tool ensures high-fidelity data accuracy for all Swiss territories.

Installation

To integrate this capability into your OpenClaw environment, use the command-line interface to pull the skill directly from the repository:

clawhub install openclaw/skills/skills/xenofex7/swissweather

Ensure that you have Python 3 installed on your system. For the Python-based scripts to function correctly, navigate to the skill directory and ensure your environment meets the dependency requirements, primarily the requests library, which can be installed via pip3 install requests. No API keys are required for this service, as it utilizes public government endpoints.

Use Cases

• Agricultural Planning: Farmers and vineyard owners can monitor precise local humidity, precipitation, and radiation levels to optimize irrigation and harvest schedules.
• Logistics & Travel: Travelers and supply chain managers can check real-time wind speeds and visibility conditions at key transit hubs like Zurich Airport (ZRH).
• Outdoor Activity Planning: Mountaineers and tourists can retrieve accurate valley-level versus summit-level data to ensure safe hiking conditions.
• Automated Reporting: Developers can use the --json flag to feed weather data into external dashboards, automated alerts, or decision-making agents via the CLI.

Example Prompts

1. "OpenClaw, what is the current wind speed and temperature at the Rapperswil weather station?"
2. "Please provide a 7-day weather forecast for the 8001 postal code in Zurich."
3. "Is it currently raining in Geneva? Check the latest sensor data from the GVE station."

Tips & Limitations

• Station Selection: Always choose the station closest to your target area. Be cautious when using mountain stations (e.g., Jungfraujoch) for low-altitude planning, as temperature inversions can lead to drastic differences.
• API Stability: While the real-time measurement service is highly reliable, the forecast API may occasionally experience uptime fluctuations. If a forecast request fails, try falling back to a current measurement command.
• Data Refresh: Stations update their metrics roughly every 10 minutes. If you require real-time tracking, configure your agent to poll these endpoints within that window to ensure data freshness.