exploring-data-catalog
An agent skill by aws, from aws/agent-toolkit-for-aws. Tags: analysis, catalog, data, glue, inventory.
What it does
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).
Install
With the skills CLI, which installs into Claude Code, Codex, Cursor and other agents:
npx skills add aws/agent-toolkit-for-aws --skill exploring-data-catalogOr copy the skill folder into Claude Code's skills directory by hand (~/.claude/skills for every project, or .claude/skills inside one):
git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws
cp -r agent-toolkit-for-aws/plugins/aws-data-analytics/skills/exploring-data-catalog ~/.claude/skills/exploring-data-catalogSafety box score
Not rated yet. A safety box score grades what a skill and its scripts can reach on the machine of whoever installs it, across eight categories from shell execution to secrets access. Anyone can request one from this page; it is saved for everyone. How the score works.
Source
- Repository
- aws/agent-toolkit-for-aws (all skills from this repository)
- Path
- plugins/aws-data-analytics/skills/exploring-data-catalog/SKILL.md
- Branch
- main
- Collection
- aws-data-analytics
- Updated
- 2026-09-19
Related skills
- finding-data-lake-assets — Resolve data lake and lakehouse asset references across Glue Data Catalog, S3, S3 Tables, and Redshift.
- creating-data-lake-table — Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management.
- competitor-profiling — When the user wants to research, profile, or analyze competitors from their URLs. ' Input is a list of competitor URLs.
- prospecting — When the user wants to find, qualify, and build a list of prospects to reach out to — across B2B SaaS, general B2B, or local small businesses.
- gemini-history-analyzer — Analyze Google Takeout exports of Gemini conversation history.
- connecting-to-data-source — Create and troubleshoot AWS Glue connections to JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Redshift, Snowflake, and BigQuery.