Migrate a whole ArcGIS Hub site into a PortalJS Arc portal end-to-end. Harvests the Hub /data.json (DCAT-US) inventory, exports every FeatureService layer through the ArcGIS REST query API with resultOffset paging, converts each to the serverless dual tier (PMTiles render + GeoParquet query) with tabular items to…
Browse, search, and recommend geospatial / GIS / mapping / earth-observation MCP servers, and add newly discovered ones to the tracked list. Use when the user asks "is there an MCP server for ", wants to find a geocoding/routing/PostGIS/STAC/imagery/weather MCP server, or says they found a new geo MCP server to track.
Use when programming against GDAL/OGR in C, C++, Python, or .NET for raster/vector I/O, coordinate transformation, or custom geospatial algorithms. GDAL API: low-level programming interface for reading/writing 70+ geospatial formats.
Expert coding skill for the full MapTiler platform — Cloud REST APIs, MapTiler SDK JS (built on MapLibre GL JS), native mobile SDKs, on-premise infrastructure, and vector tile schemas. USE WHEN the user wants to add a map to a web or mobile app, show locations or routes, display geographic data, build a store locator…
Use this skill for questions about India's geography and administrative data, or to author your own map. Activates when the user asks what state / district / subdistrict / block / village / ward / constituency / pincode / seismic zone / eco zone a place or coordinate is in; wants counts or lists of Indian admin units…
Run pre-trained AI models on geospatial imagery. Detect buildings, cars, ships, solar panels, agriculture fields, or use text-prompted segmentation with GroundedSAM. Requires GPU for best performance.
Search past Claude Code session logs to recover context from previous conversations. Finds past decisions, data paths, CRS info, model configurations, and unresolved work. Works across all projects or scoped to the current one.
Route genuinely ambiguous or multi-stage geospatial work across specialist skills while enforcing shared CRS, validity, leakage, units, verification, and reproducibility rules. Use for requests spanning multiple stages such as acquisition, imagery, modeling, analysis, and map delivery, or for an explicit end-to-end…
Invoke when Earth Engine, GEE, ee., or geemap is named; when work needs its server-side catalog; or when choosing Earth Engine versus local xarray or desktop processing for a large area or long archive. Covers image collections, masking, compositing, reducers, zonal statistics, time series, classification, quota-aware…
Movement and trajectory analytics from GPS/GNSS tracks: cleaning, stop/trip detection, road-network map matching, speed/direction, flow aggregation, and origin-destination construction. Use for fleets, human mobility, animal tracking, AIS, or sports tracks. Trigger on GPS points, GPX, trajectories, stop detection, map…
Use when preparing, versioning, tagging, publishing, or verifying npm releases for the cesiumDesign geo-effect-kit workspace, including @ztgkzhaohao/geo-effect-kit and @ztgkzhaohao/geo-effect-kit-mcp.
NVEIL is an AI-powered data-processing and visualization toolkit — describe joins, aggregations, pivots, resampling, geocoding, time-series analysis, feature engineering, 2D/3D charts, geospatial maps, voxel/volume rendering, medical imaging, and more in plain language; the toolkit plans remotely and executes entirely…
Full-spectrum neighborhood intelligence analyst. Use this skill to produce a holistic report covering demographics, environment, risk, schools, and vibe for any US location.
Knowledgeable neighborhood and school advisor for CA and TX. Use this skill to geocode addresses, search for schools, and interpret ratings or performance data using verified tools.
Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify…
PyTorch Geometric (PyG) for graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torchgeometric, not for general NetworkX analytics or non-graph PyTorch models.
Use UMAP-learn for nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervised or semi-supervised UMAP, DensMAP, AlignedUMAP, and Parametric UMAP workflows.