skills/claude-scientific-skills
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Improve GeoMaster skill with Rust support, troubleshooting, and modern workflows

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Major improvements to the GeoMaster geospatial science skill:

### New Features
- Added Rust geospatial support (GeoRust crates: geo, proj, shapefile, rstar)
- Added comprehensive coordinate systems reference documentation
- Added troubleshooting guide with common error fixes
- Added cloud-native workflows (STAC, Planetary Computer, COG)
- Added automatic skill activation configuration

### Reference Documentation
- NEW: references/coordinate-systems.md - CRS fundamentals, UTM zones, EPSG codes
- NEW: references/troubleshooting.md - Installation fixes, runtime errors, performance tips
- UPDATED: references/programming-languages.md - Now covers 8 languages (added Rust)

### Main Skill File
- Streamlined SKILL.md from 690 to 362 lines (500-line rule compliance)
- Enhanced installation instructions with uv and conda
- Added modern cloud-native workflow examples
- Added performance optimization tips

### Documentation
- NEW: GEOMASTER_IMPROVEMENTS.md - Complete changelog and testing guide
- UPDATED: README.md - Highlight new capabilities

### Skill Activation
- Created skill-rules.json with 150+ keywords and 50+ intent patterns
- Supports file-based and content-based automatic activation

The skill now covers 8 programming languages (Python, R, Julia, JavaScript,
C++, Java, Go, Rust) with 500+ code examples across 70+ geospatial topics.
This commit is contained in:
urabbani
2026-03-05 14:26:09 +05:00
parent e67029685b
commit 85591617fc
6 changed files with 1213 additions and 508 deletions
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README.md
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@@ -455,7 +455,7 @@ This repository contains **149 scientific and research skills** organized across
#### 📊 **Data Analysis & Visualization** (15+ skills)
- Visualization: Matplotlib, Seaborn, Plotly, Scientific Visualization
- Geospatial analysis: GeoPandas, GeoMaster (comprehensive geospatial science covering remote sensing, GIS, spatial analysis, satellite imagery processing, and machine learning for Earth observation)
- Geospatial analysis: GeoPandas, GeoMaster (comprehensive geospatial science covering remote sensing, GIS, spatial analysis, satellite imagery processing, machine learning for Earth observation, 8 programming languages, cloud-native workflows with STAC/COG, and comprehensive troubleshooting guide)
- Network analysis: NetworkX
- Symbolic math: SymPy
- Document processing: Document Skills (PDF, DOCX, PPTX, XLSX)