Data Catalog & Discovery

Find and understand data fast with a discovery workflow. Explores schemas, maps business questions to the right tables and columns, and surfaces lineage and definitions so analysts stop guessing where data lives.

This skill makes Claude a data-discovery specialist. It navigates warehouse metadata to find the right tables, explains schemas and column semantics, and connects vague business questions to concrete datasets. Covers profiling for grain and freshness, tracing lineage and dependencies, documenting definitions, and building a lightweight catalog so teams reuse trusted data instead of rediscovering or duplicating it.

When to use

Use when hunting for the right table to answer a question, exploring an unfamiliar warehouse schema, documenting datasets, or building a data catalog and discovery workflow.

Examples

Find the right table

Intent to dataset

I need monthly churn — help me find which warehouse tables and columns actually hold that

Explain a schema

Understand structure

Explore the schema of our events dataset and explain what each column means and its grain

Trace lineage

Upstream sources

Map the lineage of the revenue mart back to its raw source tables