数据与研究

exploring-data-catalog

aws/agent-toolk…-for-aws

Full inventory and audit of AWS Glue Data Catalog assets across S3 Tables, Redshift-federated, and remote Iceberg catalogs. Triggers on: inventory the catalog, audit databases, list all tables, catalog overview, data landscape, enumerate catalogs, data inventory, search the catalog. Do NOT use for finding specific data (use finding-data-lake-assets), running queries (use querying-data-lake), or creating tables (use creating-data-lake-table).

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安装命令

npx skills add https://github.com/aws/agent-toolkit-for-aws --skill exploring-data-catalog

SKILL.md

Structured inventory and cataloging across your AWS data landscape: Glue Data Catalog with S3 Tables, Redshift-federated, and remote Iceberg catalogs.

Overview

Maps data in an AWS account. Starts with catalog landscape (Glue, S3 Tables, federated), then drills into databases and tables. Read-only — no query execution.

Constraints for parameter acquisition:

  • You MUST ask for the target AWS region upfront if not provided
  • You MUST support a single optional argument: search term, catalog name, database name, S3 path, or table name
  • You MUST accept the argument as direct input or a pointer to a file containing the spec
  • You MUST confirm the scope (full landscape vs. targeted deep dive) before making API calls
  • You MUST respect the user's decision to abort at any step

Common Tasks

Pagination: All list and search calls in this workflow may return paginated results. You MUST pass --next-token from the previous response until no more tokens are returned. You MUST NOT assume a single page contains all results.

1. Verify Dependencies