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geopandas

8.7

by davila7

69Favorites
438Upvotes
0Downvotes

Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.

geospatial

8.7

Rating

0

Installs

Data & Analytics

Category

Quick Review

Excellent geospatial skill with comprehensive coverage. The description clearly articulates when to use geopandas (spatial analysis, coordinate transformations, geometric operations, etc.), making it easy for a CLI agent to invoke. Task knowledge is outstanding with detailed code examples, common workflows, and references to specialized documentation files covering all major operations. Structure is exemplary: SKILL.md provides a clear overview and index while delegating detailed operations to well-organized reference files (data-io, spatial-analysis, visualization, etc.). The skill demonstrates strong novelty as geospatial operations are complex, requiring knowledge of CRS management, spatial predicates, and geometric algorithms that would consume significant tokens if attempted via CLI alone. Minor deduction on novelty only because some basic geospatial tasks could theoretically be handled with standard tools, though the skill clearly adds substantial value for the domain.

LLM Signals

Description coverage9
Task knowledge10
Structure10
Novelty8

GitHub Signals

18,073
1,635
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71
Last commit 0 days ago

Publisher

davila7

davila7

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davila7

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