Data Science & Analytics
Schema Exploration
Explore an existing PostgreSQL database before answering questions about its data or writing SQL. Use this skill whenever a user asks for a query or a data-backed answer against an unfamiliar schema (counts, missing or failed records, recent changes), asks where a business concept lives, or asks how tables, joins, views, routines, triggers, RLS, or extensions work. Find the relevant objects with read-only pg_catalog queries, then request approval before inspecting data-derived statistics or rows. Not a schema-design or migration guide.
- Publisher / source
- timescale/pg-aiguide (found on GitHub top repositories)
- Upstream record
- timescale/pg-aiguide
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
c51dc3fae147335b5d9318d2b1068081a0e487da2d33a760ea8646e29f939081