kwp-data-analyze

Generate SQL queries and statistical interpretations from raw data sets.

7|5|Updated May 7, 2026
One-click install
npx skills add https://github.com/14790897/MiQi --skill kwp-data-analyze
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kwp-data-analyze
Source: https://github.com/14790897/MiQi/tree/main/miqi/skills/kwp/data/analyze
Command: npx skills add https://github.com/14790897/MiQi --skill kwp-data-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill removes the friction from data exploration by bridging the gap between natural language questions and complex data analysis, allowing users to get answers without manual SQL writing or spreadsheet manipulation.

Core Features & Use Cases

  • Automated Data Querying: Translates natural language into SQL queries for connected data warehouses.
  • Comprehensive Analysis: Performs trend analysis, anomaly detection, and multi-dimensional comparisons.
  • Formal Reporting: Generates structured reports including methodology, findings, and recommendations for stakeholders.

Quick Start

Use the analyze skill to investigate the primary drivers behind the recent drop in user conversion rates over the last quarter.

Frequently Asked Questions about kwp-data-analyze

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

FAQPage Schema
How do I turn raw data into actionable insights without manual SQL?

You can turn raw data into actionable insights by translating natural language questions into automated SQL queries, allowing you to bypass manual SQL writing and perform direct data analysis.

What's the best way to analyze trend data and generate stakeholder reports?

The best way to analyze trend data is through comprehensive statistical interpretation that performs trend analysis and anomaly detection, then generates structured reports with methodology, findings, and recommendations for stakeholders.

Do I need a data warehouse MCP server to analyze raw data sets?

You need a data warehouse MCP server or direct user-provided data inputs to validate and visualize raw data sets, ensuring the analysis accurately answers complex business questions.

Can I use natural language to query complex business questions from a data warehouse?

Yes, you can use natural language to query complex business questions from a connected data warehouse through automated SQL generation, which bridges the gap between your questions and data exploration.

What types of data analysis can I perform beyond simple metric lookups?

Beyond simple metric lookups, you can perform comprehensive statistical interpretation including multi-dimensional comparisons, anomaly detection, and automated trend analysis across diverse scenarios.

Why does automated data querying remove friction from data exploration?

Automated data querying removes friction from data exploration by eliminating spreadsheet manipulation and manual SQL writing, instantly translating your natural language inputs into executable database queries.