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Found 51 Skills
Discover and subscribe to external spatial datasets via CARTO Data Observatory and partner catalogs.
Discover what's in the connected warehouse — schemas, tables, columns, and CARTO named sources.
Choose and configure the data warehouse engine connection for CARTO (BigQuery, Snowflake, Redshift, Postgres, Databricks, Oracle).
Write spatial SQL against the connected warehouse — dialect-specific guidance, performance defaults, and CARTO's query/job execution model.
Generate cartoon and animation style video prompts for Seedance 2.0 (Higgsfield). Use this when users want cartoon, 2D animation, cel shading, hand-drawn, illustration, flat animation or motion graphics animation style videos. Trigger words: cartoon, animation, cel shading, hand-drawn, illustration, flat design animation, vector animation, retro cartoon, rubber hose, motion graphics or any cartoon/animation style request. Use it even if users vaguely say "make it look like animation" or "fun and colorful style".
Builds territory planning workflows in CARTO combining territory balancing and location allocation. Triggers when the user mentions territory balancing, territory planning, sales territories, service zones, workload distribution, balanced territories, location allocation, facility placement, optimal locations, maximize coverage, minimize cost, minimize travel distance, depot placement, hub placement, warehouse siting, response time optimization, demand coverage, or wants to divide an area into balanced regions or find optimal facility locations.
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`.
Import geospatial files into the data warehouse via CARTO, export results back out, and prepare tilesets for fast map rendering.
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.
Builds site selection and cannibalization analysis workflows in CARTO. Triggers when the user mentions site selection, cannibalization, cannibalizing, new store location, where to open, optimal location, facility placement, network impact, overlapping catchments, twin areas, similar locations, look-alike areas, find locations like my best, store overlap, revenue impact of new store, commercial hotspots, demand hotspots, location scoring, location ranking, expand network, new branch, franchise placement, EV charging siting, or wants to evaluate candidate sites, quantify overlap between trade areas, or find areas that resemble top-performing locations.
Builds Geographically Weighted Regression (GWR) workflows in CARTO. Triggers when the user mentions GWR, geographically weighted regression, spatially varying relationships, local regression, local coefficients, spatial regression, "what drives X in different areas", "why do prices vary spatially", "local factors affecting Y", varying coefficients, coefficient maps, spatial non-stationarity, or wants to model how the relationship between a dependent variable and predictors changes across geography. Produces per-cell regression coefficients that reveal how predictor importance shifts from place to place.
Expert in physical and human geography, climate systems, cartography, and spatial analysis — builds geographically coherent worlds where terrain, climate, resources, and settlement patterns make scientific sense