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data-analyze

Translate natural language prompts into data analysis and reports.

14|3|Updated Jan 19, 2026
Search Tags:#reports#data#sql#nlp#analyze#data-visualization
One-click install
npx skills add https://github.com/kevinlin/cowork-z --skill data-analyze-kevinlin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analyze
Source: https://github.com/kevinlin/cowork-z/tree/main/src-tauri/resources/skill-templates/data-analyze
Command: npx skills add https://github.com/kevinlin/cowork-z --skill data-analyze-kevinlin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Answer data questions by transforming natural language inquiries into structured data analysis, enabling quick lookups, multi-step analyses, and formal reports.

Core Features & Use Cases

  • Understand questions and determine data requirements
  • Gather data from connected warehouses, run analyses, and validate results
  • Produce quick answers, full analyses, or formal reports with clear caveats

Quick Start

Ask a natural-language question using the analyze command, for example '/analyze How many new users signed up in December?'

Frequently Asked Questions about data-analyze

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

FAQPage Schema
How do I analyze data using natural language questions instead of writing SQL?▼

You can analyze data by submitting natural language prompts, which the system automatically translates into targeted SQL queries to retrieve metrics, identify trends, and generate structured analytical reports.

Can I generate formal data reports from a connected data warehouse automatically?▼

Yes, formal data reports can be automatically generated by gathering data from connected warehouses, running multi-step analyses, validating results, and producing outputs with clear caveats.

Do I need a data warehouse MCP server to answer data questions and run analyses?▼

Yes, answering data questions requires either a connected data warehouse MCP server or provided data sources to execute SQL querying and complete the necessary validation steps.

What types of data questions can be answered through natural language processing?▼

Natural language processing answers questions about metrics, trends, and comparisons, ranging from quick lookups to full multi-step analyses and formal reports.

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