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GeoMaster Geospatial Skill

An all-in-one geospatial skill that turns satellite imagery, GIS, spatial statistics and spatial ML tasks into ready-to-run code patterns.

Data & AnalyticsIntermediate★ 33,030⑂ 3,248AI score 9/10Last updated: Aug 9, 2026

What it does

  • Provides code for satellite imagery processing (Sentinel, Landsat, MODIS, SAR) and spectral indices such as NDVI, EVI, SAVI and NDWI.
  • Covers vector/raster operations with GeoPandas, Rasterio and GDAL: spatial joins, overlays, buffers, and terrain metrics (slope, aspect, hillshade).
  • Shows cloud-native workflows with STAC, COG and Microsoft Planetary Computer, plus Dask/xarray tips for large datasets.
  • Includes Random Forest image classification, OSMnx street-network analysis, and CRS rules that prevent the classic area/distance mistakes.
  • Links to 13 deep-dive reference docs on coordinate systems, remote sensing, ML, big data and troubleshooting.

Who it's for

  • Remote sensing and GIS researchers; analysts in environment, agriculture, hydrology or marine science.
  • Data scientists building their first satellite imagery pipeline.
  • Developers who regularly write spatial queries or map visualizations.

Example uses

  1. "Compute NDVI from this Sentinel-2 GeoTIFF and write it out" → generates band reading, normalization and profile handling.
  2. "Spatially join monitoring points to admin polygons and summarize per zone" → CRS check plus sjoin and groupby aggregation.
  3. "Search Planetary Computer for 2023 Sentinel-2 scenes under 20% cloud and load them into xarray" → STAC search with odc.stac loading code.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/geomaster/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/geomaster folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/geomaster/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/K-Dense-AI/scientific-agent-skills.git && mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/geomaster ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and confirm Claude Code is installed.
  2. Clone the repository: git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
  3. Create the skills directory: mkdir -p ~/.claude/skills
  4. Copy the skill: cp -r scientific-agent-skills/skills/geomaster ~/.claude/skills/
  5. Verify that ~/.claude/skills/geomaster/SKILL.md and the references/ folder came along.
  6. Install the Python stack: conda install -c conda-forge gdal rasterio fiona shapely pyproj geopandas (add xarray, pystac-client, etc. as needed).
  7. For Google Earth Engine features, run earthengine authenticate to link your account.
  8. Restart Claude Code and try a prompt like "calculate NDVI for this raster" to confirm the skill activates.
View source on GitHub ↗License: MIT