Are there any dependencies for the visualization features?

Most data fetching scripts use the Python standard library, but the visualization script requires 'matplotlib' to be installed to generate charts and maps.

In what formats can I export the retrieved data?

Data can be exported to CSV (with flattened latitude/longitude coordinates) or GeoJSON formats, making it compatible with spreadsheets and GIS software.

Can I filter data by a specific city or geographic region?

Yes, the skill supports spatial filtering using bounding boxes (bbox) and property filtering by station name, province code, or specific station identifiers.

Do I need an API key to use the GeoMet Catalog skill?

No, the MSC GeoMet API is a free and public service provided by Environment and Climate Change Canada that does not require authentication or an API key.

What types of data can I access through this skill?

You can access a wide range of data including hourly/daily weather observations, historical climate normals, real-time air quality indices (AQHI), and hydrometric water levels and discharge data.

GeoMet Canadian Environmental Data

Name: GeoMet Canadian Environmental Data
Author: sfoucher

bysfoucher

0•

データサイエンスとML

Accesses, queries, and visualizes Canadian weather, climate, and hydrometric data through the MSC GeoMet API.

This skill enables Claude to interact with Environment and Climate Change Canada's (ECCC) MSC GeoMet OGC API, providing a seamless interface for retrieving open environmental data. Users can browse extensive catalogs for hourly weather, historical climate normals, real-time air quality (AQHI), and hydrometric water levels. With built-in scripts for spatial-temporal filtering, CSV/GeoJSON export, and automated visualization using matplotlib, it simplifies complex data acquisition and analysis tasks for researchers, developers, and analysts working with Canadian environmental datasets.

主な機能

01Filter results by specific properties like station name, province, or station ID

02Browse and search ECCC collections including weather, climate, and water data

03Generate automated visualizations including time-series charts, bar graphs, and station maps

04Perform advanced spatial and temporal queries using bounding boxes and date ranges

050 GitHub stars

06Export datasets to standardized CSV and GeoJSON formats for external analysis

ユースケース

01Monitoring real-time air quality health indices (AQHI) and water levels for localized reporting

02Retrieving historical climate data for specific Canadian locations to conduct environmental trend analysis

03Automating the collection of weather observation datasets for integration into GIS applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sfoucher/claude-geomet-skill geomet-catalog

For use in Claude.ai and ChatGPT

Download Skill