Design geospatial and cartographic visualizations. Use when the user needs help deciding whether to use a map, choosing projections or basemaps, building choropleths or symbol maps, or implementing thematic maps, slippy maps, or geospatial interactions with D3 geo, Leaflet, MapLibre, Mapbox GL JS, Google Maps, OpenLayers, deck.gl, ArcGIS Maps SDK, Azure Maps, HERE Maps, CesiumJS, or related tools.
npx skills add https://github.com/openai/plugins --skill geospatial-and-cartographic-visualization
Use this skill when place, projection, movement, or spatial adjacency matter analytically, or when the product surface genuinely needs a map interaction model. Do not use maps by reflex just because there is a latitude, longitude, or region name in the dataset.
Default assumption: use a map only when geography is part of the reasoning or when the product truly needs a map surface. If the task is comparison, ranking, or distribution across regions, a non-map view may be clearer. Distinguish analytical cartography from product-map UX early.
Mobile map users are common and often primary. Use ../../references/foundations/mobile-first-responsive-visualization.md when choosing marker density, label strategy, portrait/landscape behavior, touch gestures, geolocation/camera/AR capability use, and spotty tile or data connections.
10. For scientific, live, disaster, terrain, climate, seismic, ocean, or other source-sensitive spatial work, create a source and method ledger before visual design or implementation. Include source URL/API, license or attribution, update cadence, units, coordinate reference, coverage gaps, rate limits, cache/fallback policy, and which layers are measured, inferred, schematic, or decorative.
11. Choose a projection, basemap style, and normalization strategy intentionally.
12. For globes or custom projections, audit coordinate alignment across basemap/texture, event markers, labels, hit testing, camera focus, and fallback geometry before coding. Record longitude origin, wrap policy, and at least a few known-place spot checks.
13. Choose the implementation stack:
14. Keep legends, labels, uncertainty, and comparison needs explicit.
15. For editorial map stories, decide whether the map is a quiet stage for evidence, a moving flow field, a particle-guided route story, a risk surface, or a scrollytelling sequence.
16. For conflict, occupation, displacement, disaster, or humanitarian maps, use ../../references/foundations/sensitive-geopolitical-and-humanitarian-stories.md. Require dated states, source and method notes, attribution, and visible distinctions between measured, estimated, and schematic geometry.
17. If the map owns wheel zoom or gesture panning, also own the browser behavior: prevent page scrolling or scroll chaining, keep reset and button controls visible, and verify the interaction with mouse wheel, trackpad, touch pan, and pinch.
18. Use AR, camera, geolocation, or motion only when they materially improve spatial reasoning or data collection, and always provide manual/non-permission fallbacks.
../../references/foundations/task-abstraction-and-chart-selection.md../../references/foundations/perception-color-and-encoding.md../../references/foundations/mobile-first-responsive-visualization.md../../references/foundations/art-directed-interactive-visual-stories.md../../references/foundations/sensitive-geopolitical-and-humanitarian-stories.md./references/map-or-not.md./references/adaptive-basemaps-and-layer-stacks.md./references/projections-and-normalization.md./references/source-method-and-coordinate-ledger.md./references/choropleths-symbols-and-flows.md./references/point-overlap-strategies.md./references/multiscale-symbols-and-zoom-behavior.md./references/deckgl-d3-geo-stack-selection.md./references/slippy-map-and-product-stack-selection.mdComprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
Take openai/geospatial-and-cartographic-visualization from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.