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product_data_explorer

Classify customer questions and generate SQL queries against Snowflake data views.

1|Updated Apr 8, 2026
Search Tags:#customer insights#workload analysis#snowflake#feature adoption#product usage#sql queries
One-click install
npx skills add https://github.com/sfc-gh-samaurer/Sam-Maurer-s-SnowWork-Skills-and-Files --skill product-data-explorer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: product_data_explorer
Source: https://github.com/sfc-gh-samaurer/Sam-Maurer-s-SnowWork-Skills-and-Files/tree/main/skills/product_data_explorer
Command: npx skills add https://github.com/sfc-gh-samaurer/Sam-Maurer-s-SnowWork-Skills-and-Files --skill product-data-explorer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps product analysts and stakeholders understand customer engagement with Snowflake features, classify questions, and generate SQL queries for detailed analysis.

Core Features & Use Cases

  • Question Classification: Automatically categorize user inquiries into product adoption, workload, billing, or feature deep dive topics.
  • SQL Query Generation: Produce precise SQL statements from schema references to retrieve relevant data.
  • Insight Summarization: Offer high-level and detailed reports on customer activity, trends, and signals like feature adoption, usage surges, or attrition.
  • Use Case: Analyze a customer’s growth in AI/ML workloads over time or identify underutilized features by querying the appropriate data sources.

Quick Start

Request the product usage report for Acme Corp to see their recent feature adoption trends.

Frequently Asked Questions about product_data_explorer

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

FAQPage Schema
How do I analyze Snowflake product usage and feature adoption for a specific customer?▼

Analyze Snowflake product usage by classifying customer inquiries into categories like feature adoption or workload, then generating SQL queries against structured data views to retrieve detailed activity trends and insights.

What is the best way to generate SQL queries for Snowflake workload analysis?▼

Generate SQL queries for Snowflake workload analysis by classifying your question into predefined categories, mapping it to schema references, and producing precise SQL statements to retrieve relevant customer activity data.

Can I use this to identify underutilized Snowflake features or attrition risks?▼

Yes, you can identify underutilized features and attrition risks by querying appropriate Snowflake data sources to summarize customer activity, usage surges, and adoption trends over time.

How does question classification help with Snowflake billing and workload insights?▼

Question classification automatically categorizes inquiries into product adoption, workload, billing, or feature deep dive topics, enabling targeted SQL query generation against structured Snowflake data views for precise insights.

Do I need structured Snowflake data views to monitor customer usage patterns?▼

Yes, you need structured Snowflake data views because the Skill generates SQL queries against these views to present insights, support drill-down exploration, and monitor customer usage patterns.

What are the limitations of using SQL queries for product usage exploration?▼

The approach relies on structured Snowflake data views for query generation, meaning any limitations in the underlying schema or view structure will constrain the depth of product usage and adoption insights you can retrieve.

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