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explore-data

Discover governed data domains and list their tables, columns, and business terminology.

4|10|Updated Feb 20, 2026
Search Tags:#profiling#tables#terminology#explore#domains#columns
One-click install
npx skills add https://github.com/Stratio/genai-agents --skill explore-data-stratio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: explore-data
Source: https://github.com/Stratio/genai-agents/tree/main/shared-skills/explore-data
Command: npx skills add https://github.com/Stratio/genai-agents --skill explore-data-stratio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quick discovery of governed data landscapes to understand domain structure, available tables, column metadata, and business terminology, enabling informed analysis planning.

Core Features & Use Cases

  • Domain discovery: find and select domains using semantic prefer settings, then list related tables and terminology.
  • Lightweight profiling prep: surface knowledge from MEMORY.md and offer guided steps before deep analysis.
  • Guided exploration workflow: provide structured summaries and actionable suggestions to steer subsequent skills like assess-quality or build-semantic-layer.

Quick Start

Ask for a domain or topic and begin by listing domains and their tables.

Frequently Asked Questions about explore-data

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

FAQPage Schema
How do I explore governed data domains and their business terminology?▼

To explore governed data domains, you discover semantic or technical domains and surface their related tables, columns, and business terminology. This provides structured summaries to understand the data landscape before analysis.

What is the best way to list available tables and columns before starting data analysis?▼

Listing available tables and columns is done through domain discovery, which surfaces table structures and column metadata. Applying semantic prefer settings yields actionable summaries of your data scope to guide subsequent analysis tasks.

Can I use lightweight data profiling on a focused scope of tables?▼

Yes, you can perform lightweight data profiling on focused scopes. The skill surfaces existing knowledge from MEMORY.md patterns and offers guided steps, providing targeted profiling controls before launching a deep analysis.

Does this data exploration approach support semantic domain resolution?▼

Yes, the data exploration approach supports both semantic and technical domain resolution. It applies semantic prefer settings to resolve domains accurately, mapping business terminology directly to underlying table structures.

How do I plan my data analysis workflow after discovering domain structures?▼

After discovering domain structures, you plan your data analysis workflow using the provided structured summaries and actionable suggestions. These outputs act as a launchpad to steer subsequent skills like assess-quality or build-semantic-layer.

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