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catalog-navigator

Discover data across Unity Catalog — find tables by name or topic, inspect columns and comments, and trace where data lives — from system.information_schema. An enterprise-wide skill for locating the right table before you query it, in any workspace.

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databricks-solutions/ai-governance
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2 de setembro de 2026 às 16:08
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SKILL.md
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name
catalog-navigator
description
Discover data across Unity Catalog — find tables by name or topic, inspect columns and comments, and trace where data lives — from system.information_schema. An enterprise-wide skill for locating the right table before you query it, in any workspace.
> **Illustrative example** — demonstrates a well-formed `SKILL.md` for this reference > implementation. Adapt the content to your own org; do not deploy verbatim. # catalog-navigator ## Overview An enterprise-wide (Tier-3) data-discovery skill: it helps a user *find the right table* across Unity Catalog before they query it. It searches the catalog by table or column name, lists a table's columns and comments, and summarizes what a schema contains — all from the live `system.information_schema` metadata views. Because it reads only catalog *metadata* (names, types, comments, ownership) and never table contents, it is safe to run in every workspace, which is exactly why it belongs at Tier 3: one discovery skill available org-wide, regardless of domain. ## When to use this skill Reach for this skill whenever a user needs to locate or understand data anywhere in the catalog: - "Which tables have 'billing' in their name?" - "What columns does `system.billing.usage` have?" - "Find tables that contain a `customer_id` column." - "What's in the `system.lakeflow` schema?" - "Where would I find data about job runs?" ## Instructions When the user asks a discovery question: 1. **Interpret the target** — a keyword (topic), a specific table, or a column name. 2. **Search `system.information_schema.tables`** for name/schema matches (topic or table lookup). 3. **Query `system.information_schema.columns`** to list a table's columns, or to find tables that contain a named column. 4. **Present results** as a compact table, then point the user to the single best-matching table and suggest the domain skill (if any) that specializes in it. ## Examples ### Find tables by keyword ```sql SELECT table_catalog, table_schema, table_name, comment FROM system.information_schema.tables WHERE LOWER(table_name) LIKE '%billing%' OR LOWER(comment) LIKE '%billing%' ORDER BY table_catalog, table_schema, table_name LIMIT 50 ``` ### Inspect a table's columns ```sql SELECT column_name, data_type, comment FROM system.information_schema.columns WHERE table_catalog = 'system' AND table_schema = 'billing' AND table_name = 'usage' ORDER BY ordinal_position ``` ### Find tables containing a given column ```sql SELECT table_catalog, table_schema, table_name FROM system.information_schema.columns WHERE LOWER(column_name) = 'job_id' GROUP BY table_catalog, table_schema, table_name ORDER BY table_catalog, table_schema, table_name LIMIT 50 ``` ## Recommendations framework After presenting matches, always include: 1. **Best match** — the single most relevant table for the user's intent, fully qualified. 2. **Specialist hand-off** — if a domain skill specializes in that table (e.g. billing → `pipeline-cost-analyzer`), name it so the user routes there for analysis. 3. **Narrowing tip** — one way to refine if the search returned too many matches (add a schema filter, search by column instead of name). ## Edge cases - **No matches** — if the keyword matches nothing visible, say so and suggest a broader term, rather than returning an empty table with no explanation. - **Permission scope** — `information_schema` only surfaces objects the caller can see; results are relative to the user's Unity Catalog grants, not the whole metastore. - **Discovery, not analysis** — this skill locates and describes tables. Once the right table is found, hand off to the specialist domain skill (or a direct query) for the actual analysis; it never reads table contents itself. ## Data scope - `system.information_schema.tables` — table inventory, schema, ownership, and comments - `system.information_schema.columns` — column names, types, and comments - No PII or table contents are accessed — this skill reads catalog metadata only.
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