What problem does it solve? Teams lose track of what data exists across their AWS account—databases, tables, formats, and catalogs spread across Glue, S3 Tables, and federated sources. This Skill produces a structured, read-only inventory and audit of the entire data landscape without running any queries. ## Core Features & Use Cases - Catalog Landscape Discovery: Enumerates all catalogs via aws glue get-catalogs and classifies them as default Glue, S3 Tables, Redshift-federated, or remote Iceberg. - Database and Table Enumeration: Lists databases and tables per catalog, including S3 Tables API enumeration, and flags tables not registered in Glue (not queryable via Athena). - Audit and Quality Analysis: Reports data formats in human-readable terms, partitioning, stale tables, missing descriptions, and optimization recommendations using a discovery checklist. - Use Case: A data engineer joining a new account runs a full landscape discovery to get catalog counts by type, total databases and tables, unregistered S3 Tables, and a list of CSV tables that should be converted to Parquet. ## Quick Start Ask the assistant to inventory the AWS Glue Data Catalog in your region, optionally narrowing the scope with a catalog name, database name, table name, or S3 path.