Retrieve BigQuery table schemas, metadata, and properties across datasets and projects.
npx skills add https://github.com/starlake-ai/starlake --skill bq-info
Please help me install this Agent Skill. Skill: bq-info Source: https://github.com/starlake-ai/starlake/tree/main/.agent/skills/bq-info Command: npx skills add https://github.com/starlake-ai/starlake --skill bq-info
Retrieve BigQuery table information.
Execute starlake bq-info with your target tables to retrieve their BigQuery metadata.
High-intent search queries and answers about installing and using this skill.
To retrieve BigQuery table metadata across multiple projects, you query targeted tables using configured connections and proper authentication, returning schemas and properties for inventory and auditing.
The best way to audit BigQuery datasets and inventory tables is to execute a metadata retrieval command against your target tables, which returns table schemas and properties across your environment.
Yes, you can apply optional table filters when retrieving BigQuery schemas and properties, allowing you to narrow the metadata extraction to specific tables within your configured datasets and projects.
Yes, extracting BigQuery table information requires a configured connection and proper authentication to access your database and project, ensuring secure retrieval of schemas and metadata.
Using a metadata retrieval command for BigQuery data catalog governance automates the extraction of table schemas and properties, generating reliable inventory reports for auditing across datasets.
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