Agent skill · data analytics · aiskillstore
data-exploration-tool
Systematic database and table profiling for DBX Studio. Use when a user wants to understand their data, explore schema structure, or profile a dataset.
Why this skill is useful
Provides specific commands and workflows for schema discovery and data profiling that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Data Exploration — DBX Studio Exploration Workflow Phase 1: Schema Discovery Start with readschema to list all tables, then describetable for each table of interest. Phase 2: Table Profiling For each table, gather: Row count Column names and types Sample data via gettabledata Null counts and distributions Phase 3: Relationship Discovery Look for foreign key patterns: Columns named id linking to other tables Common join patterns: users.id → orders.userid Quality Scoring Score Completeness ------- ------------- Green > 95% populated Yellow 80–95% populated Orange 50–80% populated Red < 50% populated Common Exploration Queries Row count Column null rates Distinct values Date range Output Format After exploration, present a structured summary: Tables: list with row counts Key relationships: how tables connect Data quality flags: any columns with high null rates Suggested next queries: what the user might want to know next
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/data-exploration-tool