querying-data-lake
An agent skill by aws, from aws/agent-toolkit-for-aws. Tags: analytics, athena, data, querying, sql.
What it does
Execute and manage Athena SQL queries across default and federated catalogs (Glue, S3 Tables, Redshift). Triggers on phrases like: query data, run SQL, athena query, analyze table, SQL query, workgroup status, profile table, query Redshift catalog, query S3 Tables. Do NOT use for finding specific data assets (use finding-data-lake-assets), full catalog audits (use exploring-data-catalog), importing data (use ingesting-into-data-lake).
Install
With the skills CLI, which installs into Claude Code, Codex, Cursor and other agents:
npx skills add aws/agent-toolkit-for-aws --skill querying-data-lake
Or 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/querying-data-lake ~/.claude/skills/querying-data-lake
Safety 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/querying-data-lake/SKILL.md
- Branch
- main
- Collection
- aws-data-analytics
- Updated
- 2026-09-19
Related skills
- querying-aws-cloudwatch — Runs SQL queries on CloudWatch Logs data exported as Apache Iceberg tables in S3 Tables.
- querying-aws-s3 — Queries S3 object metadata, tracks bucket activity, audits object changes, searches annotations.
- financial-data-collector — Collect real financial data for any US publicly traded company from free public sources (yfinance).
- aws-messaging-and-streaming — Guides general use of AWS messaging and streaming services.
- analytics — When the user wants to set up, improve, or audit analytics tracking and measurement.
- attribution — When the user wants to figure out which marketing actually drives conversions and revenue, choose or interpret an attribution model.