python-gis-ecosystem-11-install
Sub-skill of python-gis-ecosystem: 1.1 Install (+2).
Best use case
python-gis-ecosystem-11-install is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of python-gis-ecosystem: 1.1 Install (+2).
Teams using python-gis-ecosystem-11-install should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/11-install/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How python-gis-ecosystem-11-install Compares
| Feature / Agent | python-gis-ecosystem-11-install | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of python-gis-ecosystem: 1.1 Install (+2).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 1.1 Install (+2)
## 1.1 Install
```bash
# Conda (recommended — resolves GDAL native deps)
conda install -c conda-forge geopandas rasterio fiona pyproj \
shapely folium xarray rioxarray cartopy
# pip (ensure GDAL system libs installed first)
pip install geopandas rasterio fiona pyproj shapely folium \
xarray rioxarray cartopy
```
## 1.2 Format Reference
| Format | Extension | Read | Write | Library |
|--------|-----------|------|-------|---------|
| GeoPackage | .gpkg | Yes | Yes | GeoPandas/Fiona |
| Shapefile | .shp | Yes | Yes | GeoPandas/Fiona |
| GeoJSON | .geojson | Yes | Yes | GeoPandas/Fiona |
| GeoTIFF | .tif | Yes | Yes | Rasterio |
| NetCDF | .nc | Yes | Yes | xarray/rioxarray |
| KML | .kml | Yes | Yes | Fiona (with driver) |
| CSV + lat/lon | .csv | Yes | Yes | GeoPandas (from_csv) |
| GeoParquet | .parquet | Yes | Yes | GeoPandas |
## 1.3 Load Well Locations from CSV
```python
import geopandas as gpd
import pandas as pd
from shapely.geometry import Point
df = pd.read_csv("wells.csv") # columns: well_name, latitude, longitude
gdf = gpd.GeoDataFrame(
df,
geometry=gpd.points_from_xy(df["longitude"], df["latitude"]),
crs="EPSG:4326" # WGS84 geographic
)
print(gdf.head())
```
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