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. This Skill provides the reference guidelines needed to generate valid GQL queries and well-formed CREATE PROPERTY GRAPH DDL without syntax errors or performance anti-patterns. ## Core Features & Use Cases - GQL Query Generation: Produces BigQuery GoogleSQL GQL queries with correct pattern matching, path variables, quantifiers, and output formatting (TO_JSON for visualization vs. tabular results). - Semantic Graph Querying: Guides use of the GRAPH_EXPAND TVF and the mandatory AGG() function for measure columns. - Schema DDL Advisory: Assists in designing CREATE PROPERTY GRAPH statements with scoped properties, safe aliases, PK/FK constraints, and topology pre-flight audits. - Use Case: A data engineer needs to model an account-transfer network as a property graph and query multi-hop fraud patterns; the Skill supplies the DDL structure and GQL traversal syntax with optimization rules. ## Quick Start Ask the assistant to write a GQL query that finds the shortest transfer path between two accounts in your BigQuery property graph.