answering-natural-language-questions-with-dbt

SKILL.md

Answer data questions using the best available method: semantic layer first, then SQL modification, then model discovery, then manifest analysis. Always exhaust options before saying "cannot answer."

Use for: Business questions from users that need data answers

| 1 | Semantic layer active | Query metrics directly | listmetrics, getdimensions, querymetrics | | 2 | SL active but minor modifications needed (missing dimension, custom filter, case when, different aggregation) | Modify compiled SQL | getmetricscompiledsql, then executesql |

Use when a user asks a business question that requires querying data (e.g., "What were total sales last quarter?"). NOT for validating, testing, or building dbt models during development. Source: dbt-labs/dbt-agent-skills.

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