What problem does it solve? Writing correct BigQuery graph queries and property graph schemas requires deep knowledge of GQL syntax, GRAPH_TABLE integration, GRAPH_EXPAND semantics, and schema design rules, which are easy to get wrong without 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 GRAPH_EXPAND, AGG() on measure columns, and measure-first aggregation strategies. - Schema DDL Advising: Helps design CREATE PROPERTY GRAPH statements with scoped properties, safe aliases, PK/FK constraints, and semantic measures. - Use Case: A data engineer needs to find shortest transfer paths between accounts in a fraud detection graph; the Skill generates a valid ANY SHORTEST GQL query with proper label usage and LIMIT safeguards. ## Quick Start Ask the assistant to write a GQL query that finds the shortest path between two accounts in your BigQuery property graph.
