driver-openmeteo-weather

Collect weather data from Open-Meteo API and store it in Feather format.

157|31|Updated May 27, 2020

Search Tags:#API #data ingestion #data storage #weather #environmental monitoring

Ready to run

npx skills add https://github.com/bbartling/open-fdd --skill driver-openmeteo-weather

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: driver-openmeteo-weather
Source: https://github.com/bbartling/open-fdd/tree/main/skills/driver-openmeteo-weather
Command: npx skills add https://github.com/bbartling/open-fdd --skill driver-openmeteo-weather

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables seamless ingestion and integration of Open-Meteo weather data into data storage systems for environmental monitoring and decision-making.

Core Features & Use Cases

Weather Data Ingestion: Collects real-time weather metrics such as temperature, humidity, and wind speed from Open-Meteo API.
Data Storage and Analysis: Stores weather series in Feather format for easy retrieval and analysis, suitable for outdoor air quality and weather-dependent fault detection.
Use Case: Environmental engineers can incorporate this Skill to automatically fetch weather conditions for sensor sites and evaluate their impact on system performance.

Quick Start

Store API parameters including location coordinates and weather variables in configuration; run the ingest job to write weather series data into storage.

Frequently Asked Questions about driver-openmeteo-weather

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate weather data collection from the Open-Meteo API?▼

Automate weather data collection by configuring location coordinates and weather variables, then running an ingest job that executes HTTP requests to retrieve and save weather series into storage. This automates fetching temperature, humidity, and wind speed metrics for environmental monitoring.

What is the best way to store Open-Meteo weather time series for analysis?▼

The best way to store Open-Meteo weather time series is by saving the ingested data in Feather format. This format enables easy retrieval and analysis of weather metrics, making it suitable for environmental monitoring and weather-dependent fault detection.

Can I use weather data ingestion for environmental monitoring and fault detection?▼

Yes, you can use weather data ingestion for environmental monitoring and fault detection. Environmental engineers can automatically fetch weather conditions for sensor sites and evaluate their impact on system performance using the stored metrics.

How do I configure HTTP requests to fetch temperature and humidity from Open-Meteo?▼

Configure HTTP requests by storing API parameters including location coordinates and desired weather variables like temperature and humidity in your configuration. Run the ingest job to execute these requests and write the weather series data into storage.

Does ingesting Open-Meteo API data require any external dependencies?▼

Ingesting Open-Meteo API data requires no external dependencies. You only need to implement HTTP requests and data storage routines within your environment to retrieve and save weather information effectively.

Why use Feather format for storing environmental monitoring weather data?▼

Use Feather format for storing weather data because it facilitates easy retrieval and analysis of environmental time series. This storage approach supports outdoor air quality evaluation and weather-dependent fault detection workflows.