A specialized AI agent skill that retrieves real-time pollen levels and allergy forecasts for 24 regions across Sweden.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pollen-rapporten
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 pollen-rapporten using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill empowers your AI agent to provide detailed environmental health data by connecting directly to the Swedish Museum of Natural History (Pollenrapporten) API. By leveraging this Openclaw Skills integration, developers can build workflows that monitor allergens such as hazel, birch, and grass across all major Swedish cities. It provides both numerical severity levels and human-readable text summaries to help users manage seasonal allergies effectively.
The skill is designed to handle the complexities of regional mapping in Sweden, ensuring that even requests for smaller towns are routed to the nearest accurate monitoring station. This makes it an essential tool for creating health-conscious assistants or localized weather services within the Openclaw Skills ecosystem.
To use this skill within your environment, ensure you have the necessary scripts located in your workspace. You can execute the forecast script via the command line:
# Get a basic forecast for a specific city
python3 $OPENCLAW_HOME/workspace/skills/pollen-forecast/scripts/get_forecast.py Stockholm
# Enable grass pollen alerts for allergy management
python3 $OPENCLAW_HOME/workspace/skills/pollen-forecast/scripts/get_forecast.py Göteborg --alert
The skill organizes data by mapping geographical locations to specialized monitoring stations. The following data structure is utilized:
| Component | Details |
|---|---|
| Region Mapping | Uses references/regions.json to link cities to one of 24 monitoring stations. |
| Severity Scale | Ranges from 0 (None/Inga halter) to 4 (Very High/Mycket höga halter). |
| Pollen Types | Tracks Alder (Al), Hazel (Hassel), Birch (Björk), Grass (Gräs), and more. |
| API Source | Live data fetched from Naturhistoriska riksmuseet (Swedish Museum of Natural History). |
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