DBT Semantic Query Expert

Name: DBT Semantic Query Expert
Author: nerver111

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Translates natural language into precise DBT semantic layer queries with automated filtering, visualization, and context-aware data exploration.

DBT Semantic Query is a specialized Claude Code skill designed for data analysts and engineers to interact with DBT semantic layers using natural language. It manages complex conversation contexts—automatically maintaining filters for time ranges and regions—while performing semantic searches to match user intent with the correct metrics and dimensions. By automating SQL generation, result visualization, and report saving, it streamlines the end-to-end data exploration workflow directly within the terminal, ensuring data consistency and analytical depth.

Key Features

01Automatic data visualization with Chart.js configurations

02Real-time data refresh and query history tracking

03Semantic search for accurate metric and dimension matching

04Natural language to DBT metric query translation

05Context-aware conversation management for persistent filtering

060 GitHub stars

Use Cases

01Drilling down into specific market segments or time periods using conversational context

02Generating automated data reports and visualizations for business stakeholders

03Performing complex multi-dimensional trend analysis without writing manual SQL

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nerver111/git-skill-test dbt-semantic-query

For use in Claude.ai and ChatGPT