geospatial-data-loading SKILL.md skillA
geospatial-data-loading from cxcscmu/skilllearnbench is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add cxcscmu/skilllearnbench/geospatial-data-loading@git:20260424.d50cf5aPins git:20260424.d50cf5a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- cxcscmu/skilllearnbench
- Path
skills/b1-one-shot-gemini-3-flash-preview/earthquake-plate-calculation/geospatial-data-loading/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260424.d50cf5a, committed Apr 24, 2026
- Size
- 1,249 bytes
- Repository stars
- 91
- License
- MIT
Techniques for loading and initial processing of GeoJSON and coordinate-based datasets using GeoPandas.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Geospatial Data Loading
## Overview
GeoPandas is the primary library for loading geographic data in Python. It extends pandas to allow spatial operations on geometric types.
## Loading GeoJSON
GeoJSON is a standard format for geographic data.
```python
import geopandas as gpd
# Load directly from file
gdf = gpd.read_file("data.json")
# Inspect CRS (Coordinate Reference System)
print(gdf.crs) # Usually EPSG:4326 for GeoJSON
```
## Creating GDF from Dictionary/List
If you have raw JSON or a list of dictionaries with coordinates:
```python
from shapely.geometry import Point
import geopandas as gpd
data = [
{"id": "eq1", "lat": 10.5, "lon": 120.3},
{"id": "eq2", "lat": -5.2, "lon": -150.8}
]
geometry = [Point(d["lon"], d["lat"]) for d in data]
gdf = gpd.GeoDataFrame(data, geometry=geometry, crs="EPSG:4326")
```
## Handling Multi-Geometries
Some datasets might contain `MultiPolygon` or `MultiLineString`. GeoPandas handles these automatically, but you might want to "explode" them into individual parts:
```python
gdf_exploded = gdf.explode(index_parts=False)
```Read the whole file at its exact version.
How to install
mdr add cxcscmu/skilllearnbench/geospatial-data-loading@sha256:e46c38737dc9a0b9The line at the top of this page pins the label git:20260424.d50cf5a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_vc5ub2u5btsogomo)
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Versions
The registry has recorded 1 version of this file, committed on Apr 24, 2026.
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Source
cxcscmu/skilllearnbench · 91 stars · license MIT · pushed 2026-10-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vc5ub2u5btsogomo GET https://markdownregistry.com/api/v1/resolve?ref=cxcscmu/skilllearnbench/geospatial-data-loading GET https://markdownregistry.com/api/v1/blob/e46c38737dc9a0b9d213173c85a7aa5f53b6da97349d574dc697bcb340ca4aea
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Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.