Generative geospatial art and cartographic visualization. Use when creating artistic map visualizations, generative spatial art, interactive cartographic displays, animation sequences, or aesthetically-focused geographic rendering.
Scanned 9/1/2026
Install to Claude Code
npx -y skills add ActiveInferenceInstitute/GEO-INFER --skill GEO-INFER-ART --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: geo-infer-art
description: Generative geospatial art and cartographic visualization. Use when creating artistic map visualizations, generative spatial art, interactive cartographic displays, animation sequences, or aesthetically-focused geographic rendering.
prerequisites:
required:
- geo-infer-space
recommended:
- geo-infer-data
difficulty: beginner
estimated_time: 30min
examples_dir: ../GEO-INFER-EXAMPLES/examples/
---
# GEO-INFER-ART
## Instructions
### Core Capabilities
- **Generative art**: Algorithmic spatial pattern generation, fractal landscapes
- **Cartographic design**: Aesthetic map styling, color palettes, typography
- **Interactive display**: mplcursors-based interactive map exploration
- **Animation**: Temporal spatial animation sequences, GIF/video export
- **Style transfer**: Apply artistic styles to geographic data visualizations
### Key Imports
```python
from geo_infer_art.core.geo_art import GeoArtGenerator
from geo_infer_art.core.cartography import CartographicDesigner
from geo_infer_art.core.animation import SpatialAnimator
from geo_infer_art.core.style import StyleTransfer
```
## Examples
```python
from geo_infer_art.core.geo_art import GeoArtGenerator
generator = GeoArtGenerator()
artwork = generator.create(
data=spatial_data,
style="watercolor",
interactive=True # Enables mplcursors hover
)
artwork.save("output.png", dpi=300)
```
## Guidelines
- Interactive features use real mplcursors + matplotlib (not `ax.plot([0],[0])`)
### Integrations
- Integrates with SPACE for H3-based spatial patterns
- Test: `uv run python -m pytest GEO-INFER-ART/tests/ -v`
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