cartography-geoviz
Always invoke before answering any request to create, compare, design, or review a user-facing map, even if the request is terse or underspecified. Covers publication maps, choropleths, map series and small multiples, comparable multi-date panels, proportional/bivariate/flow maps, raster rendering, and interactive web maps. Includes classification, color, legends, projections, accessibility, and large-data aggregation. Do not trigger for a temporary diagnostic plot inside another analysis.
Install
With your agent
Install OMGSkills skill "muend/geoai-skills:skills/cartography-geoviz" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/muend/geoai-skills /tmp/geoai-skills && ln -s /tmp/geoai-skills/skills/cartography-geoviz ~/.claude/skills/cartography-geovizFrom README
Cartography & Geovisualization Purpose: maps that communicate honestly. Cartographic choices (class breaks, ramps, normalization, projection) can manufacture or hide patterns; this skill treats them as analytical decisions with stated rationale, not styling. The first three questions What's the message? One map = one message. If two variables compete, consider small multiples or a bivariate scheme — not twelve legend classes. Normalized? Choropleths of raw counts are population maps in disguise. Rates, densities, or per-capita for area-based color; raw magnitudes → proportional symbols instead. Static or interactive? Print/PDF/paper → matplotlib/QGIS layout; exploration/stakeholders → Folium/MapLibre; big point data → Kepler.gl/deck.gl (GPU).
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