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 AI through a structured discovery workflow so you can find BigQuery tables, Spanner databases, BigLake tables, and other GCP assets without knowing their exact IDs. ## Core Features & Use Cases - Semantic and Keyword Search: Uses Dataplex entry search with natural language queries or precise keyword filters (name, column, projectid, location, labels) to locate assets. - Context Lookup: Retrieves full schema, metadata, and business context for assets via the Dataplex lookup context command using full entry names. - Fallback Handling: Falls back to native tools like the bq CLI for public datasets or assets not indexed in the Dataplex Universal Catalog, with explicit stop rules to avoid search loops. - Use Case: You ask "find Q4 product sales data" and the Skill searches Dataplex semantically, resolves the full entry name, and returns the table's schema and governance metadata. ## Quick Start Ask the AI to find the BigQuery table containing customer order data in your GCP project and show its schema.
