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 and governance metadata requires knowing the full Dataplex entry name. This Skill guides the discovery workflow so you can find BigQuery tables, Spanner databases, Cloud Storage buckets, and other GCP assets, then fetch their full schema and business context. ## Core Features & Use Cases - Semantic and Keyword Search: Search the Dataplex Universal Catalog using natural language intent (e.g., "Q4 product sales data") or precise technical filters like name:, column:, system=, and fully_qualified_name=. - Schema and Metadata Lookup: Retrieve detailed schema, metadata, and governance context for any discovered asset using the Dataplex Lookup Context command with full projects/... entry names. - Fallback Handling: Directly inspect bigquery-public-data assets with the bq CLI, and follow structured stop rules to avoid infinite search loops when assets are not indexed. - Use Case: You know a dataset contains "sales data" but not the table ID. Run a semantic Dataplex search, pick the matching entry, then look up its full schema and column descriptions before writing a query. ## Quick Start Find the BigQuery table containing customer order data in my GCP project and show me its schema and column descriptions.
