geopandas-spatial

geopandas-spatial is a Geospatial & mapping skill for AI agents, published by beita6969 in the ScienceClaw repository on GitHub. Skillspace rates geopandas-spatial D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Geospatial and climate data analysis with geopandas and xarray. Use when: (1) geographic vector data analysis, (2) climate and weather NetCDF data, (3) spatial joins and overlay operations, (4) map visualization, (5) CRS transformations and area calculations. NOT for: satellite imagery ML (use rasterio/torchgeo), real-time GPS tracking, or interactive web maps (use folium/leaflet directly).

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
866

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubbeita6969/ScienceClaw

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 1 other repositories, in 1 collections
Scope
Vendor-specific: built around one product. Teaches using the public geopandas and xarray libraries' APIs.

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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