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 pitfalls like column collisions and unsupported topologies. This Skill encodes those rules so generated queries and DDL work correctly the first time. ## Core Features & Use Cases - GQL Query Generation: Produces BigQuery GoogleSQL GQL queries with correct pattern matching, path variables, quantifiers, and output formatting for visualization or tabular results. - Semantic Graph Querying: Guides use of the GRAPH_EXPAND TVF and the mandatory AGG() function for measure columns, avoiding common NOT_FOUND and measure errors. - Schema DDL Advisory: Helps design CREATE PROPERTY GRAPH statements with scoped properties, safe aliases, PK/FK constraints, and semantic measures while validating tree-topology limitations. - Use Case: Ask the agent to find the shortest transfer path between two accounts in a financial graph, and it generates a valid ANY SHORTEST GQL query with TO_JSON output and a LIMIT clause. ## Quick Start Ask the agent to write a GQL query that finds all accounts connected to a given person within three hops in your BigQuery property graph.
