Add GeoMaster: Comprehensive Geospatial Science Skill

- Added SKILL.md with installation, quick start, core concepts, workflows
- Added 12 reference documentation files covering 70+ topics
- Includes 500+ code examples across 7 programming languages
- Covers remote sensing, GIS, ML/AI, 30+ scientific domains
- MIT License

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Dr. Umair Rabbani <umairrs@gmail.com>

scientific-skills/geomaster/README.md

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+# GeoMaster Geospatial Science Skill
+
+## Overview
+
+GeoMaster is a comprehensive geospatial science skill covering:
+- **70+ sections** on geospatial science topics
+- **500+ code examples** across 7 programming languages
+- **300+ geospatial libraries** and tools
+- Remote sensing, GIS, spatial statistics, ML/AI for Earth observation
+
+## Contents
+
+### Main Documentation
+- **SKILL.md** - Main skill documentation with installation, quick start, core concepts, common operations, and workflows
+
+### Reference Documentation
+1. **core-libraries.md** - GDAL, Rasterio, Fiona, Shapely, PyProj, GeoPandas
+2. **remote-sensing.md** - Satellite missions, optical/SAR/hyperspectral analysis, image processing
+3. **gis-software.md** - QGIS/PyQGIS, ArcGIS/ArcPy, GRASS GIS, SAGA GIS integration
+4. **scientific-domains.md** - Marine, atmospheric, hydrology, agriculture, forestry applications
+5. **advanced-gis.md** - 3D GIS, spatiotemporal analysis, topology, network analysis
+6. **programming-languages.md** - R, Julia, JavaScript, C++, Java, Go geospatial tools
+7. **machine-learning.md** - Deep learning for RS, spatial ML, GNNs, XAI for geospatial
+8. **big-data.md** - Distributed processing, cloud platforms, GPU acceleration
+9. **industry-applications.md** - Urban planning, disaster management, utilities, transportation
+10. **specialized-topics.md** - Geostatistics, optimization, ethics, best practices
+11. **data-sources.md** - Satellite data catalogs, open data repositories, API access
+12. **code-examples.md** - 500+ code examples across 7 programming languages
+
+## Key Topics Covered
+
+### Remote Sensing
+- Sentinel-1/2/3, Landsat, MODIS, Planet, Maxar
+- SAR, hyperspectral, LiDAR, thermal imaging
+- Spectral indices, classification, change detection
+
+### GIS Operations
+- Vector data (points, lines, polygons)
+- Raster data processing
+- Coordinate reference systems
+- Spatial analysis and statistics
+
+### Machine Learning
+- Random Forest, SVM, CNN, U-Net
+- Spatial statistics, geostatistics
+- Graph neural networks
+- Explainable AI
+
+### Programming Languages
+- **Python** - GDAL, Rasterio, GeoPandas, TorchGeo, RSGISLib
+- **R** - sf, terra, raster, stars
+- **Julia** - ArchGDAL, GeoStats.jl
+- **JavaScript** - Turf.js, Leaflet
+- **C++** - GDAL C++ API
+- **Java** - GeoTools
+- **Go** - Simple Features Go
+
+## Installation
+
+See [SKILL.md](SKILL.md) for detailed installation instructions.
+
+### Core Python Stack
+```bash
+conda install -c conda-forge gdal rasterio fiona shapely pyproj geopandas
+```
+
+### Remote Sensing
+```bash
+pip install rsgislib torchgeo earthengine-api
+```
+
+## Quick Examples
+
+### Calculate NDVI from Sentinel-2
+```python
+import rasterio
+import numpy as np
+
+with rasterio.open('sentinel2.tif') as src:
+    red = src.read(4)
+    nir = src.read(8)
+    ndvi = (nir - red) / (nir + red + 1e-8)
+```
+
+### Spatial Analysis with GeoPandas
+```python
+import geopandas as gpd
+
+zones = gpd.read_file('zones.geojson')
+points = gpd.read_file('points.geojson')
+joined = gpd.sjoin(points, zones, predicate='within')
+```
+
+## License
+
+MIT License
+
+## Author
+
+K-Dense Inc.
+
+## Contributing
+
+This skill is part of the K-Dense-AI/claude-scientific-skills repository.
+For contributions, see the main repository guidelines.