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 or governance metadata requires knowing exact resource identifiers. This Skill searches the Dataplex Universal Catalog and fetches deep metadata so you can find and inspect BigQuery tables, Spanner databases, Cloud Storage buckets, and BigLake assets without guessing IDs. ## Core Features & Use Cases - Semantic and Keyword Search: Find assets by natural language intent (e.g., "Q4 product sales data") or precise technical filters like system=bigquery, type=bigquery-table, and location=us-central1. - Schema and Metadata Lookup: Retrieve full schema, business context, and governance metadata for any discovered asset using its full Dataplex entry name. - Guided Disambiguation: Handles no-result, multi-result, and permission-error scenarios with clear fallback rules, including direct bq CLI inspection for public datasets. - Use Case: You know a project contains sales data but not the table name. Run a semantic search, review the candidate entries, then look up the full schema and column descriptions before writing a query. ## Quick Start Find BigQuery tables related to customer orders in my Google Cloud project and show me their schemas.
