schema-exploration

List database tables, columns, data types, and key relationships.

Updated Mar 18, 2026
One-click install
npx skills add https://github.com/MrNeo01/deepagent --skill schema-exploration-mrneo01
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: schema-exploration
Source: https://github.com/MrNeo01/deepagent/tree/main/examples/text-to-sql-agent/skills/schema-exploration
Command: npx skills add https://github.com/MrNeo01/deepagent --skill schema-exploration-mrneo01

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly understand and document a database by listing tables, describing columns and data types, and identifying key relationships to enable efficient data modeling and communication.

Core Features & Use Cases

  • List all tables in the database with concise descriptions
  • Describe each table's columns and data types
  • Identify primary and foreign keys and map table relationships
  • Generate a readable schema overview or ERD for planning and collaboration

Quick Start

Ask me to explore the schema of a given database and return tables, columns, keys, and relationships for rapid understanding.

Frequently Asked Questions about schema-exploration

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

FAQPage Schema
How do I map database tables and foreign key relationships for an ERD?

To map database schemas, you need to fetch table lists, column metadata, and foreign key relationships to generate a structured, human-readable schema overview or ERD for data model planning.

What is the best way to describe all columns and data types in a database schema?

Describing a database schema involves querying the database to list all tables, extracting column metadata and data types, and presenting them in a structured format to enable efficient data modeling and communication.

Can I list primary and foreign keys across multiple databases for data model planning?

Yes, you can list primary and foreign keys across multiple databases by fetching table lists and relationship metadata, which allows you to identify key relationships and generate a readable schema overview.

How do I get quick schema insights when I need to understand an unfamiliar database?

Quick schema insights are obtained by querying the database to retrieve table names, column data types, and sample data, then presenting them in a readable format for rapid understanding and data model planning.

Do I need specific tools to fetch table lists and column metadata for schema exploration?

Yes, schema exploration requires tools or functions that fetch table lists, column metadata, sample data, and foreign key relationships to accurately identify and describe the database schema.

Why does understanding database relationships help with data model planning?

Understanding database relationships helps with data model planning by identifying primary and foreign keys, mapping table relationships, and generating an ERD to enable efficient communication and data modeling.