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 often requires knowing exact resource IDs. This Skill guides an agent through Dataplex catalog search and context lookup to find BigQuery, Spanner, BigLake, Cloud Storage, and other GCP assets and retrieve their full metadata. ## Core Features & Use Cases - Semantic and Keyword Search: Search the Dataplex catalog by natural language intent (e.g., "Q4 product sales data") or precise technical filters like name:, projectid:, location=, and fully_qualified_name=. - Deep Metadata Lookup: Retrieve schema, business context, and governance details for any discovered asset using its full projects/... entry name via the context lookup command. - Loop-Safe Troubleshooting: Built-in stop rules, query variation limits, and fallbacks to native tools like bq show prevent endless search loops when assets are missing or unindexed. - Use Case: A data analyst knows a dataset relates to "customer orders" but not the table ID. The Skill runs a semantic Dataplex search, resolves the full entry name, and returns the complete schema and column descriptions. ## Quick Start Find the BigQuery table containing customer order data in my GCP project and show me its schema and metadata.
