PortalJS, Add Geo

Overview

Turn one geospatial upload into a dual-tier PortalJS dataset entirely on the user's machine, no server-side container compute, keeping the zero-backend bet end-to-end. From a single source the skill derives two serverless tiers plus the preserved original:

• PMTiles (render tier), a vector-tile archive <MapPreview> renders with MapLibre GL over HTTP range requests; any dataset size pans and zooms with no tile server.
• GeoParquet (query tier), a GeoParquet 1.1 file (covering bbox column, Hilbert-sorted) <GeoQuery> runs spatial SQL over in place via DuckDB-Wasm.
• Original, the untouched upload in its native CRS, kept downloadable.

All three land on Cloudflare R2 (Git LFS → Giftless), and the skill appends one datasets.json entry whose resources[] match the shape the showcase auto-renders (the @reference/world-boundaries demo, PR #1647): pmtiles → <MapPreview>, geoparquet → <GeoQuery>, original → download. No page edits are needed. It automates the manual tippecanoe/duckdb recipes in the template README.

Prerequisites

• A scaffolded portaljs-catalog portal whose template ships components/MapPreview.tsx and components/GeoQuery.tsx (PR #1647 or later).
• Native CLIs on the user's machine: GDAL (ogr2ogr, ogrinfo), tippecanoe, and duckdb (with the spatial extension). macOS: brew install gdal tippecanoe duckdb; Debian/Ubuntu: apt-get install gdal-bin duckdb + tippecanoe (apt or build from source); Windows: use WSL. The skill hard-stops with the install hint if any is missing.
• Arc credentials for the Git-LFS → R2 push (the same token portaljs-deploy resolves), or an OSS self-hosted Giftless.

Instructions