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. REQUIRES latitude/longitude - no defaults. See common locations table.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install brandon2255p/yr-weatherExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Get weather forecasts from MET Norway via yr.no API (free, no key).
# Current weather + forecast (requires lat/lon)
python3 {baseDir}/scripts/weather.py <lat> <lon> [altitude]
# Examples from common locations:
python3 {baseDir}/scripts/weather.py -33.9288 18.4174 # Cape Town
python3 {baseDir}/scripts/weather.py -33.8688 151.2093 # Sydney
python3 {baseDir}/scripts/weather.py 51.5074 -0.1278 # London
# Tomorrow's summary (requires lat/lon)
python3 {baseDir}/scripts/tomorrow.py <lat> <lon>
# Run tests
python3 -m unittest discover {baseDir}/tests
scripts/tests/data/.cd {baseDir}/scripts && python3 ../tests/test_*.py
| City | Lat | Lon |
|---|---|---|
| Cape Town | -33.9288 | 18.4174 |
| Johannesburg | -26.2041 | 28.0473 |
| Durban | -29.8587 | 31.0218 |
| Sydney | -33.8688 | 151.2093 |
| London | 51.5074 | -0.1278 |
| New York | 40.7128 | -74.0060 |
| Tokyo | 35.6762 | 139.6503 |
scripts/
├── yr_service.py # API calls (tested/mocked)
├── utils.py # Emoji/symbol helpers
├── weather.py # Current + forecast CLI
├── tomorrow.py # Tomorrow summary CLI
└── tests/data/ # Sample JSON
tests/
├── test_weather.py
└── test_service.py
Install via pip: pip install git+https://github.com/brandoncrabpi/yr-weather.git
yr-weather -33.9288 18.4174
Refactored for production: no defaults, tests, modular service.
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Production CLI for MET Norway weather forecasts.
pip install .
yr-weather -33.9288 18.4174 # Cape Town now + forecast
yr-tomorrow -33.8688 151.2093 # Sydney tomorrow
See SKILL.md for OpenClaw integration.
pytest
Data: MET Norway (free API).
# Yr.no Weather
Get weather forecasts from MET Norway via yr.no API (free, no key).
## Quick Start
```bash
# Current weather + forecast (requires lat/lon)
python3 {baseDir}/scripts/weather.py <lat> <lon> [altitude]
# Examples from common locations:
python3 {baseDir}/scripts/weather.py -33.9288 18.4174 # Cape Town
python3 {baseDir}/scripts/weather.py -33.8688 151.2093 # Sydney
python3 {baseDir}/scripts/weather.py 51.5074 -0.1278 # London
# Tomorrow's summary (requires lat/lon)
python3 {baseDir}/scripts/tomorrow.py <lat> <lon>
# Run tests
python3 -m unittest discover {baseDir}/tests
```
## Tests
- Unit tests mock API calls (no network).
- Sample data in `scripts/tests/data/`.
- Run: `cd {baseDir}/scripts && python3 ../tests/test_*.py`
## Common Locations
| City | Lat | Lon |
|---------------|-----------|-----------|
| Cape Town | -33.9288 | 18.4174 |
| Johannesburg | -26.2041 | 28.0473 |
| Durban | -29.8587 | 31.0218 |
| Sydney | -33.8688 | 151.2093 |
| London | 51.5074 | -0.1278 |
| New York | 40.7128 | -74.0060 |
| Tokyo | 35.6762 | 139.6503 |
## Structure
```
scripts/
├── yr_service.py # API calls (tested/mocked)
├── utils.py # Emoji/symbol helpers
├── weather.py # Current + forecast CLI
├── tomorrow.py # Tomorrow summary CLI
└── tests/data/ # Sample JSON
tests/
├── test_weather.py
└── test_service.py
```
## Standalone Repo
Install via pip: `pip install git+https://github.com/brandoncrabpi/yr-weather.git`
- `yr-weather -33.9288 18.4174`
- Tagged: v1.0.0
## Usage Terms
- User-Agent required (included).
- Cache 10min+ per location.
- Credit: "Data from MET Norway".
Refactored for production: no defaults, tests, modular service.# Yr.no Weather CLI (v1.0.0) Production CLI for MET Norway weather forecasts. ## Install ```bash pip install . ``` ## Usage ```bash yr-weather -33.9288 18.4174 # Cape Town now + forecast yr-tomorrow -33.8688 151.2093 # Sydney tomorrow ``` See `SKILL.md` for OpenClaw integration. ## Tests ```bash pytest ``` Data: MET Norway (free API).
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...
Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.