What problem does it solve? Locating the right data asset in Google Cloud is difficult when you only have a keyword or business topic, and retrieving schema or governance metadata requires knowing exact resource identifiers. This Skill discovers BigQuery, Spanner, BigLake, and Cloud Storage assets through the Dataplex Universal Catalog and fetches their full metadata. ## Core Features & Use Cases - Semantic and Keyword Search: Find data assets using natural language intent (e.g., "Q4 product sales data") or precise technical queries with filters like system=bigquery, location=us-central1, and column:order_id. - Deep Metadata Lookup: Retrieve schema, business context, and governance details for any discovered asset using the Dataplex Lookup Context command with full entry names. - Guided Disambiguation: Handle no-result, multi-result, and permission-error scenarios with structured fallback rules, including direct bq CLI inspection for public datasets. - Use Case: A data analyst knows a table contains customer orders but not its name. The Skill searches Dataplex semantically, lists candidate tables, and returns the full schema and column descriptions for the confirmed asset. ## Quick Start Find the BigQuery table containing customer order data in my GCP project and show me its schema and metadata.
