What problem does it solve? Locating the right data asset in Google Cloud is difficult when you only have a keyword or topic, and retrieving schema, metadata, or governance context for BigQuery, Spanner, BigLake, or Cloud Storage assets often requires knowing exact resource IDs upfront. ## Core Features & Use Cases - Semantic and Keyword Search: Query the Dataplex Universal Catalog with natural language intent or precise technical filters like name:, system=, location=, and fully_qualified_name=. - Deep Metadata Lookup: Fetch full schema and business context for any asset using the Dataplex Lookup Context command with full entry names. - Guided Fallbacks: Handle public datasets, missing results, and permission errors with defined fallback paths to native tools like bq CLI. - Use Case: A user asks to find "Q4 product sales data" in BigQuery. The skill runs a semantic Dataplex search, resolves the full entry name, and returns the table's schema and governance metadata. ## Quick Start Find the BigQuery table containing customer order data in my GCP project and show me its schema and metadata.