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query

Query and analyze data through the Honeydew semantic layer.

39|1|Updated Feb 23, 2026
Search Tags:#data query#data analysis#sql#deep analysis#natural language query#semantic layer#honeydew
One-click install
npx skills add https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins --skill query-honeydew-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: query
Source: https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins/tree/main/plugins/data-analysis-tools/skills/query
Command: npx skills add https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins --skill query-honeydew-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables users to query, analyze, and explore data through the Honeydew semantic layer, making data accessible and understandable.

Core Features & Use Cases

  • Multiple Query Methods: Supports structured queries, natural language questions, and deep analysis for diverse user needs.
  • Data Exploration: Allows users to discover entities, attributes, and metrics within the semantic model.
  • Use Case: A data analyst needs to understand sales trends. They can ask a natural language question like "What were the total sales by region last quarter?" or use a structured query to get precise data on specific product metrics. For complex "why" questions, like "Why did sales drop in Q3?", they can use deep analysis.

Quick Start

Use the query skill to find the top 10 neighbourhoods by number of listings.

Frequently Asked Questions about query

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query data using natural language instead of SQL?▼

You can query data using natural language by asking questions through the Honeydew semantic layer, which translates plain English requests into structured queries to retrieve metrics and explore data.

Does this data analysis approach work with Snowflake and Databricks?▼

Yes, this data analysis approach works with Snowflake, Databricks, and BigQuery. It leverages the Honeydew semantic layer to support data exploration and metric retrieval across these supported data warehouses.

What is deep analysis for complex data questions?▼

Deep analysis is a method to investigate complex questions, such as determining why specific metrics changed. It uses the Honeydew semantic layer to explore underlying data attributes and provide comprehensive answers.

How do I find specific metrics and attributes in a semantic model?▼

To find specific metrics and attributes, you can use the data exploration feature. This allows you to discover available entities, attributes, and metrics within the Honeydew semantic model before running structured queries.

Can I use structured SQL queries to retrieve precise data?▼

Yes, you can use structured SQL queries to retrieve precise data. The Honeydew semantic layer supports structured querying alongside natural language and deep analysis for accurate metric retrieval.

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