What problem does it solve? Writing correct BigQuery graph queries and property graph schemas requires deep knowledge of GQL syntax, GRAPH_TABLE integration, semantic measures, and structural limitations, which is error-prone without expert guidance. ## Core Features & Use Cases - GQL Query Generation: Produces standards-compliant BigQuery GoogleSQL GQL queries with correct pattern matching, path variables, and output formatting for visualization or tabular results. - Semantic Graph Querying: Guides use of the GRAPH_EXPAND function and AGG() for measure columns in flattened semantic graph views. - Schema DDL Advisory: Assists in writing CREATE PROPERTY GRAPH DDL with scoped properties, safe aliases, key constraints, and semantic measures. - Use Case: A data engineer needs to find the shortest transfer path between two accounts in a financial graph and visualize the network; the Skill generates a correct ANY SHORTEST GQL query with TO_JSON output and a LIMIT clause. ## Quick Start Ask the assistant to write a GQL query that finds all accounts connected by transfers within three hops in your BigQuery property graph.
