large-scale-map-visualization

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.

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)

精通處理 5,000-100,000 多個地理資料點的高效能 Web 地圖實作。專注於 Leaflet.js 最佳化、超叢集演算法、基於視窗的載入、畫布渲染和漸進式揭露 UX 模式。 來源：curiositech/some_claude_skills。