Data Architect Agent (Data Modeling & Governance)

Generate PostgreSQL database schemas, ERDs, and data dictionaries with GDPR compliance.

1|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/farmountain/sdlc_agent_swarm --skill data-architect-agent-data-modeling-governance
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Data Architect Agent (Data Modeling & Governance)
Source: https://github.com/farmountain/sdlc_agent_swarm/tree/main/vscode-sdlc-swarm/templates/.agents/skills/data-architect
Command: npx skills add https://github.com/farmountain/sdlc_agent_swarm --skill data-architect-agent-data-modeling-governance

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the critical need for well-designed, secure, and compliant data architectures, preventing data silos, ensuring data quality, and meeting regulatory requirements like GDPR.

Core Features & Use Cases

  • Database Schema Design: Creates normalized, performant schemas with proper indexing.
  • Data Modeling: Designs ERDs, domain models, and data dictionaries.
  • PII & Privacy: Identifies Personally Identifiable Information (PII) and implements GDPR/CCPA compliance.
  • Data Migration: Plans and executes zero-downtime database migrations.
  • Use Case: When building a new e-commerce platform, this Skill will generate the complete database schema, including user tables, product catalogs, and order details, while ensuring all PII is handled according to GDPR.

Quick Start

Generate a PostgreSQL database schema for an e-commerce application based on the provided business requirements.

Frequently Asked Questions about Data Architect Agent (Data Modeling & Governance)

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

FAQPage Schema
How do I design a database schema for an e-commerce platform while ensuring GDPR compliance?

Database schema design for GDPR compliance involves generating normalized relational tables with proper indexing, alongside identifying Personally Identifiable Information (PII) to implement access control and data retention policies. This approach produces complete database schemas, entity-relationship diagrams, and data dictionaries for relational and NoSQL databases while enforcing regulatory standards.

What is the best way to plan a zero-downtime database migration?

Zero-downtime database migration requires planning and executing comprehensive data architecture specifications that prevent data silos and ensure data quality. This Skill supports zero-downtime migration strategies by generating detailed schema designs and providing SQL DDL for PostgreSQL, ensuring continuous availability during transitions.

How do I identify PII and implement data governance policies in my data architecture?

PII identification and data governance enforcement involve scanning data models to locate sensitive information, then applying security and regulatory compliance standards like GDPR and CCPA. This process generates data architecture specifications with built-in access control and data retention policies to ensure data quality and security.

Can I generate SQL DDL for PostgreSQL from my data modeling specifications?

Generating SQL DDL for PostgreSQL is supported directly from the designed data architecture specifications. The Skill creates comprehensive schemas, entity-relationship diagrams, and data dictionaries for relational databases, outputting executable SQL DDL specifically tailored for PostgreSQL environments.

Does this data architecture tool work with both relational and NoSQL databases?

Yes, this data architecture tool designs and generates comprehensive specifications, including schemas, entity-relationship diagrams, and data dictionaries for both relational and NoSQL databases. It accommodates various data modeling requirements while enforcing data quality, security, and regulatory compliance standards.

When do I need a data dictionary and entity-relationship diagram for my database schema?

A data dictionary and entity-relationship diagram are needed when building robust data architectures to prevent data silos and ensure data quality. These components are essential for documenting domain models, defining table structures, and maintaining clear schema designs for complex applications like e-commerce platforms.