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SkillsMP hat 16 Skills aus googlemaps-samples/insights-samples gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 16 von 16 gesammelten Skills angezeigt.
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
Best practices and procedural guidelines for designing high-performance, reactive, and visually stunning map visualizations with Deck.gl and Google Maps.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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…
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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,…
Quellsprache: Englisch
Use this skill to configure, optimize, and ground BigQuery Conversational Data Agents for RMI. When invoked, helps users select a persona profile (TOM, Urban Planner, BQ Admin, Data Engineer, Data Scientist, or RMI Planner) to receive tailored grounding…
Quellsprache: Englisch
Specialized guidance for discovering, subscribing to, and working with Roads Management Insights (RMI) public sample datasets across global metropolitan areas (Boston, Paris, Tokyo, Detroit, Manhattan, Rome, Singapore, Sydney, Buenos Aires, São Paulo State).…
Quellsprache: Englisch
Expert guidance on BigQuery Geospatial (GIS) capabilities. Use this skill when the user asks about GEOGRAPHY types, spatial functions (ST_*), proximity analysis, spatial joins, or spatial indexing (S2/H3/Quadbin) in BigQuery.
Quellsprache: Englisch
Foundational BigQuery best practices for SQL performance, geospatial functions, temporal engineering, BQML, vector search, storage optimization (physical vs. logical), execution diagnostics, and enterprise governance.
Quellsprache: Englisch
Use this skill when discussing, explaining, or implementing RMI route setting, route setting strategies, selected route setting strategies, route registration strategies, or route selection. It provides foundational strategies…
Quellsprache: Englisch
Use this skill for technical details about the RMI Real-Time Pub/Sub stream, including message schema (Protobuf), key fields (SRIs, travel_duration), and integration patterns for live traffic operations.
Quellsprache: Englisch
Use this skill for querying and analyzing the foundational RMI (Roads Management Insights) BigQuery datasets, specifically route status (routes_status) and long-term/historical traffic duration metrics (historical_travel_time). Activate when querying RMI…
Quellsprache: Englisch
Use this skill for near real-time traffic analysis using the recent_roads_data table. This is a superset of the foundation data, enabling granular Speed Reading Interval (SRI) analysis and 60-day rolling performance audits.
Quellsprache: Englisch