Fetches weather forecasts, air quality and geographic coordinate data from Swagger-defined APIs.
npx skills add https://github.com/itechmeat/llm-code --skill open-meteo
Please help me install this Agent Skill. Skill: open-meteo Source: https://github.com/itechmeat/llm-code/tree/main/skills/open-meteo Command: npx skills add https://github.com/itechmeat/llm-code --skill open-meteo
Open-Meteo integration simplifies fetching weather forecasts, air quality, and geocoding data from Open-Meteo APIs with consistent parameters and robust error handling for production apps.
Geocode a location to obtain coordinates and timezone, then fetch hourly forecast, daily summary, and current conditions for those coordinates using timezone=auto and forecast_days=2.
High-intent search queries and answers about installing and using this skill.
To fetch weather forecasts and air quality data reliably, use Open-Meteo APIs to query multiple coordinates with deterministic parameters like timezone and timeformat, ensuring consistent JSON payloads and robust HTTP error handling.
Yes, you can resolve place names to coordinates and timezones using the Open-Meteo geocoding API, which returns the exact latitude, longitude, and timezone data needed for accurate forecast queries.
Open-Meteo supports timezone-aware processing by enforcing deterministic query parameter rules, allowing you to specify timezone=auto to automatically align hourly, daily, and current forecast results to the target location.
The best way to handle JSON and HTTP errors in weather API integration is to enforce deterministic query parameters and apply consistent error handling rules to manage malformed requests and API failures gracefully.
To get current conditions and daily summaries for application dashboards, geocode the target location first, then fetch the forecast data using specified coordinates and forecast_days parameters to retrieve structured JSON outputs.
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