What problem does it solve? Analysts often waste time writing queries against unknown schemas or miss data entirely because they do not know which databases, tables, or shared datasets exist in their MotherDuck account. This Skill provides a structured top-down workflow for catalog discovery, schema inspection, and data previewing before any analytical SQL is written. ## Core Features & Use Cases - Catalog Discovery: List databases, tables, views, and columns using MD_ALL_DATABASES(), duckdb_tables(), and duckdb_columns(), including shared databases via MD_INFORMATION_SCHEMA. - Schema Profiling: Run SUMMARIZE for statistics on ranges, cardinality, and null rates, then preview sample rows to confirm table grain and join keys. - MCP Tool Guidance: Prefer structured MotherDuck MCP tools like list_databases, list_tables, and search_catalog over ad hoc SQL when available. - Use Case: Before building a revenue dashboard, use this Skill to locate the correct orders table across attached databases, inspect its column types and comments, and confirm the date and customer key columns needed for joins. ## Quick Start Connect to MotherDuck and show me all databases, tables, and column types available in my account, then summarize the largest table.
