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Found 325 Skills
Use this skill whenever the user mentions IP geolocation feeds, RFC 8805, geofeeds, or wants help creating, tuning, validating, or publishing a self-published IP geolocation feed in CSV format. Intended user audience is a network operator, ISP, mobile carrier, cloud provider, hosting company, IXP, or satellite provider asking about IP geolocation accuracy, or geofeed authoring best practices. Helps create, refine, and improve CSV-format IP geolocation feeds with opinionated recommendations beyond RFC 8805 compliance. Do NOT use for private or internal IP address management — applies only to publicly routable IP addresses.
Implement Syncfusion WPF Maps (SfMap) control for geographical data visualization in Windows Presentation Foundation applications. Use this when displaying geographical data, rendering shape files, or integrating map layers with markers and bubbles. This skill covers ShapeFileLayer, ImageryLayer, map customization, legends, OpenStreetMap/Bing Maps integration, and interactive map features.
Use when implementing location services, maps, geofencing, or debugging location/MapKit issues. Covers Core Location, CLMonitor, MapKit, annotations, directions.
Parse Apache and Nginx access logs to detect SQL injection attempts, local file inclusion, directory traversal, web scanner fingerprints, and brute-force patterns. Uses regex-based pattern matching against OWASP attack signatures, GeoIP enrichment for source attribution, and statistical anomaly detection for request frequency and response size outliers.
When the user wants to analyze Google Ads performance by device, geography, day of week, hour of day, or any combination of these dimensions. Also triggers on 'device performance', 'mobile vs desktop', 'bid adjustments', 'geo performance', 'location targeting', 'dayparting', 'ad schedule', 'hourly performance', 'device modifiers', 'geo bid adjustments', 'best time to run ads', 'location exclusions', or 'campaign splits by device or geo'. For full campaign structure see google-ads-search. For Smart Bidding see google-ads-bidding.
Process raster data: clip by bounding box, stack multiple bands, mosaic GeoTIFFs, or convert between raster and vector formats.
Guide for building Graph Neural Networks with PyTorch Geometric (PyG). Use this skill whenever the user asks about graph neural networks, GNNs, node classification, link prediction, graph classification, message passing networks, heterogeneous graphs, neighbor sampling, or any task involving torch_geometric / PyG. Also trigger when you see imports from torch_geometric, or the user mentions graph convolutions (GCN, GAT, GraphSAGE, GIN), graph data structures, or working with relational/network data. Even if the user just says 'graph learning' or 'geometric deep learning', use this skill.
Use when writing or debugging OAS geometry — points, polygons, line segments, arcs, circles, spirals, fillets, units, or coordinate conventions. Load before any geometry-heavy edit.
Computational geometry with Shapely - create geometries, boolean operations, measurements, predicates
Generate a professional, client-facing GEO report combining all audit results into a single deliverable with scores, findings, and prioritized actions
Use for Core Location troubleshooting - no location updates, background location broken, authorization denied, geofence not triggering
Feed-forward 3D foundation model for streaming scene reconstruction using Geometric Context Transformer