Individual skill

managing-data-catalog

Writes and curates business metadata in an AWS data catalog: the Amazon SageMaker Catalog (Amazon DataZone), or the AWS Glue Data Catalog. Detects which catalog platform an account uses before writing. Triggers on: add a description to a table, document a dataset, write a README, set an owner, add column comments, tag with a glossary term, create a business glossary, create a metadata form, publish an asset, create a data product, run the data source crawl, delete a catalog asset, attach a conventions document to a table as a catalog skill asset, which assets in my project are missing descriptions or owners and what to fix first, which catalog does this account use and what can I do with it. Not for: inventorying or listing tables (use exploring-data-catalog), locating one table (use finding-data-lake-assets), counting gaps domain-wide with SQL over the exported metadata snapshot (use querying-aws-sagemaker-catalog), or granting or revoking access (use managing-data-asset-access)

plugins/aws-data-analytics/skills/managing-data-catalog/SKILL.md

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Repository last updated
Nov 8, 2026
License
Apache-2.0

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# Manage Data Catalog

The write path for catalog business metadata. Take a dataset from catalogued
and undocumented to documented, classified and discoverable. And retire one
without breaking the catalog.

## Overview

You SHOULD execute commands through AWS MCP server tools when connected: they
give validation, sandboxed execution and audit logging, which matter more than
usual in a skill whose writes replace whole records. Fall back to the AWS CLI
when the MCP server is unavailable; every step here is expressed as CLI calls, so
it runs either way. You MUST explain each write before executing it.
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