Expert guidance on BigQuery Analytics Hub. Use this skill when the user asks about shared datasets, linked datasets, data exchange, subscribing to listings, discovering public datasets, or querying tables with privacy policies like AGGREGATION_THRESHOLD. Also…
Use this skill for creating, listing, retrieving, and managing SelectedRoutes (SelectedRoute) in RMI (Roads Management Insights). This includes defining routes with up to 25 intermediate waypoints, batch creation (up to 1000 routes), listing registered…
Best practices and procedural guidelines for designing high-performance, reactive, and visually stunning map visualizations with Deck.gl and Google Maps.
Use this skill for RMI-specific SQL design, including SRI analysis, route metadata parsing, bottleneck detection, and complex traffic metrics. This is the expert guide for writing high-quality queries against RMI BigQuery datasets.
Standard traffic performance metrics computable from RMI BigQuery tables. Covers congestion severity (TTI), delay, travel time reliability (LOTTR, BTI, PTI, CoV), congestion frequency, speed breakdowns (jam/slow fractions), before/after impact analysis, and…
Expert guidance, tools, and clients for the Google Cloud Gemini Data Analytics API (GA v1, with v1beta and v1alpha support). Use to perform conversational data analysis, translate natural language into executable SQL, manage multi-turn conversation states,…
Use this skill for the legacy Google Maps Roads API (v1). It provides procedural knowledge for 'Snap to Roads' and 'Nearest Roads'—essential for cleaning GPS traces before RMI route submission. Make sure to use this skill whenever the user mentions legacy…
Use this skill for pathfinding, travel time estimation, and distance matrix calculations. Essential for understanding how RMI snaps waypoints to the road network using the Routes v2 engine. Make sure to use this skill whenever the user mentions Routes API v2,…