data-explorer

Map and compare data models, schemas, and API shapes across system layers.

2|Updated May 15, 2026

Search Tags:#data visualization #system architecture #schema comparison #database mapping #data flow analysis

Ready to run

npx skills add https://github.com/bdbch/ai-dotfiles --skill data-explorer-bdbch

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-explorer
Source: https://github.com/bdbch/ai-dotfiles/tree/main/skills/data-explorer
Command: npx skills add https://github.com/bdbch/ai-dotfiles --skill data-explorer-bdbch

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps developers and system architects visualize and understand how data models, schemas, API shapes, and state management interact across various layers in a system.

Core Features & Use Cases

Data Model Mapping: Maps different data models, schemas, and API shapes across layers.
System Comprehension: Enhances understanding of how data flows and transforms between layers like databases, APIs, state management, and user interfaces.
Use Case: For instance, when integrating a new database into an existing application, this Skill can help identify potential conflicts or mismatches in data types and schema design.

Quick Start

Use the data-explorer skill to visualize the data flow between the database and the UI components of your web application.

Frequently Asked Questions about data-explorer

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

FAQPage Schema

How do I visualize data flow between my database schema and UI components?▼

To visualize data flow between your database schema and UI components, you map data models, API shapes, and state management layers to identify mismatches and track flow transformations across the system architecture.

What is data model mapping and how does it help with system comprehension?▼

Data model mapping compares schemas, API shapes, and state management across multiple system layers. It enhances system comprehension by revealing how data transforms between databases, APIs, and user interfaces to pinpoint structural mismatches.

How do I identify schema mismatches when integrating a new database?▼

To identify schema mismatches when integrating a new database, you compare data models and API shapes across application layers. This process detects potential conflicts in data types and schema design during system integration.

Does this data visualization approach work with Prisma and GraphQL?▼

Yes, data visualization and schema comparison work with Prisma and GraphQL. These tools are required for analyzing data models, mapping API shapes, and tracking state management flow across system layers.

What is the best way to compare API shapes across different application layers?▼

The best way to compare API shapes across application layers is to map the data models and state management structures simultaneously. This identifies flow transformations and detects structural mismatches between the API and database schemas.

Why do I need state management libraries for data flow analysis?▼

You need state management libraries for data flow analysis because they represent the layer between your APIs and user interfaces. Analyzing them alongside database schemas identifies how data transforms and where structural mismatches occur.