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 provides the reference guidance needed to generate valid queries and DDL on the first attempt. ## Core Features & Use Cases - GQL Query Generation: Guidelines for writing BigQuery GoogleSQL GQL pattern matching, variable-length paths, path functions, and GRAPH_TABLE SQL integration, with strict rules against Cypher syntax. - Semantic Graph Querying: Rules for querying semantic graphs via the GRAPH_EXPAND TVF, including mandatory AGG() wrapping for measure columns. - Schema DDL Advisory: Best practices for CREATE PROPERTY GRAPH statements covering property scoping, PK/FK constraints, safe aliases, measures, and topology limitations. - Use Case: Ask for a query finding the shortest transfer path between two accounts, and receive a valid GQL query using ANY SHORTEST with proper label scoping and TO_JSON output for visualization. ## Quick Start Ask the assistant to write a GQL query that finds all accounts connected to a given person within three hops in your BigQuery property graph.
