yr-weather
Fetch weather forecasts from the Norwegian Meteorological Institute (MET) using the yr.no API. Use when the user asks for weather information, forecasts, temperature, precipitation, wind conditions, or any weather-related queries for specific locations. Supports coordinates-based lookups and returns current conditions plus forecasts.
Why use this skill?
Fetch accurate, real-time weather forecasts and hourly data from MET Norway using the yr-weather skill for OpenClaw. Easy installation.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/brandon2255p/yr-no-weatherWhat This Skill Does
The yr-weather skill integrates the OpenClaw AI agent with the official MET Norway (yr.no) Locationforecast API. It provides a robust, high-quality meteorological data retrieval service, offering precise current conditions and detailed hourly forecasts for any location on Earth. By parsing complex JSON weather telemetry, the skill translates raw atmospheric metrics like temperature, wind speed, relative humidity, and precipitation levels into human-readable, actionable information. It is designed to be highly reliable, operating without the need for API keys while strictly adhering to MET Norway's usage policies, including proper attribution and caching requirements.
Installation
To install this skill, use the OpenClaw CLI tool within your terminal. Ensure your environment is configured for OpenClaw skills execution. Run the following command:
clawhub install openclaw/skills/skills/brandon2255p/yr-no-weather
Once installed, the script files become available for direct invocation. Ensure your local pathing allows the skill to execute the Python scripts located in your baseDir directory.
Use Cases
This skill is ideal for travel planning, outdoor scheduling, or personal assistant routines. Whether you need to verify the probability of rain before a commute, check the wind conditions for sailing, or monitor temperature changes for smart home climate control adjustments, this skill provides the necessary data points. It is particularly useful for developers building location-aware applications that require global, free weather data without the overhead of commercial API subscriptions.
Example Prompts
- "What is the current weather in Tokyo and what is the forecast for the next six hours?"
- "Can you check if it will rain in London tomorrow?"
- "Is it safe to go cycling in Cape Town today based on the wind and temperature?"
Tips & Limitations
- Caching: The API requires at least 10 minutes between requests for the same location. The skill includes built-in compliance; avoid modifying the caching logic to prevent being blocked by MET Norway.
- User-Agent: MET Norway requires a valid User-Agent header. This is pre-configured in the skill, but ensure your instance has internet access to reach
api.met.no. - Precision: While the API supports altitude for higher accuracy in mountainous regions, standard city-level lat/lon coordinates are sufficient for most urban weather inquiries. Always attribute data to 'MET Norway' when displaying results to end-users.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-brandon2255p-yr-no-weather": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api, code-execution