·geopandas

Open source project to make working with geospatial data in python easier. Extends the datatypes used by pandas to allow spatial operations on geometric types. Built on top of Shapely, Fiona, and Pyproj. Use for reading and writing spatial formats (Shapefile, GeoJSON, GeoPackage, KML), performing spatial joins, coordinate system transformations (reprojecting), geometric analysis (buffers, centroids, convex hulls), thematic mapping (Choropleth maps), calculating spatial relationships (contains, overlaps, touches, within), working with OpenStreetMap data or satellite-derived vector data.

7Installs·0Trend·@tondevrel

Installation

$npx skills add https://github.com/tondevrel/scientific-agent-skills --skill geopandas

How to Install geopandas

Quickly install geopandas AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/tondevrel/scientific-agent-skills --skill geopandas
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: tondevrel/scientific-agent-skills.

SKILL.md

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GeoPandas enables you to perform spatial joins, geometric manipulations, and coordinate transformations using the familiar Pandas API. It treats "geometry" as just another column in a DataFrame, but one that knows how to calculate areas, distances, and intersections.

Official docs: https://geopandas.org/ Interactive tutorials: https://geopandas.org/en/stable/gallery/index.html Search patterns: gpd.readfile, gdf.tocrs, gpd.sjoin, gdf.buffer, gdf.explore

A GeoDataFrame is a pandas.DataFrame that has at least one GeoSeries column (usually named geometry). Each row represents a feature (point, line, or polygon).

Open source project to make working with geospatial data in python easier. Extends the datatypes used by pandas to allow spatial operations on geometric types. Built on top of Shapely, Fiona, and Pyproj. Use for reading and writing spatial formats (Shapefile, GeoJSON, GeoPackage, KML), performing spatial joins, coordinate system transformations (reprojecting), geometric analysis (buffers, centroids, convex hulls), thematic mapping (Choropleth maps), calculating spatial relationships (contains, overlaps, touches, within), working with OpenStreetMap data or satellite-derived vector data. Source: tondevrel/scientific-agent-skills.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/tondevrel/scientific-agent-skills --skill geopandas
Category
{}Data Analysis
Verified
First Seen
2026-02-25
Updated
2026-03-10

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Quick answers

What is geopandas?

Open source project to make working with geospatial data in python easier. Extends the datatypes used by pandas to allow spatial operations on geometric types. Built on top of Shapely, Fiona, and Pyproj. Use for reading and writing spatial formats (Shapefile, GeoJSON, GeoPackage, KML), performing spatial joins, coordinate system transformations (reprojecting), geometric analysis (buffers, centroids, convex hulls), thematic mapping (Choropleth maps), calculating spatial relationships (contains, overlaps, touches, within), working with OpenStreetMap data or satellite-derived vector data. Source: tondevrel/scientific-agent-skills.

How do I install geopandas?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/tondevrel/scientific-agent-skills --skill geopandas Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/tondevrel/scientific-agent-skills

Details

Category
{}Data Analysis
Source
skills.sh
First Seen
2026-02-25