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Found 62 Skills
Builds Moran's I spatial autocorrelation workflows in CARTO. Triggers when the user mentions spatial autocorrelation, Moran's I, spatial dependency, spatial correlation, spatial outliers, HH HL LH LL quadrants, high-high clusters, low-low clusters, spatial weight matrix, "is there clustering", "are values spatially correlated", local indicators of spatial association, LISA, spatial randomness test, or wants to determine whether a variable exhibits spatial clustering, dispersion, or randomness across a gridded dataset. Also relevant when the user needs to classify locations into cluster types (HH, HL, LH, LL) rather than just identifying hotspots and coldspots.
Guides the user through spatial enrichment workflows — triggered by requests to enrich, add demographics, estimate population around locations, compute spatial features, sociodemographic analysis, "what's around" queries, buffer/isochrone + join patterns, or trade area enrichment.
Builds geocoding workflows in CARTO that convert street addresses or place names into geographic coordinates. Triggers when the user mentions geocoding, address to coordinates, address resolution, geolocate addresses, "add geometry from addresses", lat/lon from address, place name to point, address matching, forward geocoding, converting addresses to points, or has tabular data with address columns but no spatial geometry column and needs to create one.
Choose and configure the data warehouse engine connection for CARTO (BigQuery, Snowflake, Redshift, Postgres, Databricks, Oracle).
Start here for first-time CARTO use — install the CLI, authenticate, switch profiles, understand JSON output and async job patterns. Also orients on the two parallel access paths into the CARTO platform (CLI for authoring/scripting, MCP server for inline interactions in chat hosts) and which skills cover each.
Write spatial SQL against the connected warehouse — dialect-specific guidance, performance defaults, and CARTO's query/job execution model.
Author, edit, publish, and validate CARTO Builder maps via the `carto maps` CLI. Use when the user wants to create a map from a natural-language request, edit an existing map (datasets, layers, styling, privacy, popups, widgets, SQL parameters), duplicate one, upload custom marker icons, or wire up an AI agent on a map. Covers the full `carto maps` subcommand surface — `list`, `get`, `create`, `update`, `delete`, `publish`, `validate`, `schema`, `agents`, `markers`, `screenshot`, `datasets update`.
Map a codebase into a structured vocabulary — surfaces, features, entities, flows, compartments, invariants, tech stack — plus code-health metrics. Produces a JSON map and an interactive local UI. Use whenever the user wants to understand or audit a codebase.
Cartographic principles for MapLibre GL JS — label and symbol legibility on imagery vs. vector basemaps, figure-ground for point icons, styling vector roads over aerial imagery, visual hierarchy, typography (glyphs/font stacks), sprites and route shields, layer ordering for data injection, and accessibility. Use when styling a map, choosing text or symbol colors, making markers or roads readable on satellite/aerial imagery, setting up fonts or icons, debugging shields, or ordering layers correctly.
Repository understanding and hierarchical codemap generation
Implemente des cartes interactives avec Leaflet et react-leaflet. Couvre markers, clusters, popups, geolocalisation et integration Mapbox.
Strategic analyst that maps competitive landscapes, identifies white space opportunities, and provides positioning recommendations. Use when users need competitive analysis, market positioning strategy, differentiation tactics, or "how do I stand out?" guidance across any domain (portfolios, products, services). NOT for market size estimation or financial forecasting.