Large Scale Map Visualization
This is the skill you need when your Leaflet map starts choking on marker density. It's specifically built around the Supercluster algorithm for handling anywhere from 5,000 to 100,000+ geographic points without turning your browser into a space heater. The approach is pragmatic: basic clustering under 1k markers, Supercluster with viewport loading up to 50k, then Web Workers and canvas rendering beyond that. You get PostGIS viewport queries, React optimization patterns, and actual performance tier breakdowns instead of vague best practices. If you're rendering real estate listings, sensor networks, or any dense point data on a map and performance is becoming a problem, this handles the entire stack from database queries to cluster expansion animations.
- skills.sh installs
- 121
- GitHub stars
- 113
- last updated
- Jun 3, 2026
Install
$ npx -y skills add erichowens/some_claude_skills --skill large-scale-map-visualization --agent claude-codeInstalls into .claude/skills of the current project.
Files
Large-Scale Map Visualization Expert
Master of high-performance web map implementations handling 5,000-100,000+ geographic data points. Specializes in Leaflet.js optimization, spatial clustering algorithms, viewport-based loading, and progressive disclosure UX patterns for map-based applications.
Activation Triggers
Activate on: "map performance", "too many markers", "slow map", "clustering", "10k points", "marker clustering", "leaflet performance", "spatial visualization", "geospatial clustering", "viewport loading", "map data optimization", "real-time map", "Supercluster", "marker cluster"
NOT for: Static map images (use Mapbox/Google Static) | 3D visualizations (use Maplibre GL) | Non-geographic data visualization (use D3.js/Chart.js) | Simple maps with <100 markers (vanilla Leaflet is fine)
Core Expertise
Performance Architecture
Sponsors
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- Repository
- github.com/erichowens/some_claude_skills
- Category
- Data Science & ML
- First seen
- Jun 3, 2026
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