Can I customize the generated data model template?

Yes, users can provide their own customized templates by running the arckit-customize command or placing a template in the .arckit/templates directory.

How does it visualize the data relationships?

It generates visual Entity-Relationship Diagrams (ERDs) using Mermaid.js syntax, which can be rendered in GitHub, VS Code, and other Markdown viewers.

Does it support specific regulatory compliance standards?

It is natively designed to support GDPR, DPA 2018, PCI-DSS, and UK Government Security Classifications (OFFICIAL, SECRET).

Can this skill read my existing database schemas?

Yes, it can process SQL files, existing schemas, or data dictionaries placed in the project's external reference directory to build the model.

Arckit Data Model & Governance

Name: Arckit Data Model & Governance
Author: tractorjuice

bytractorjuice

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164

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Gestión de Bases de Datos

Generates enterprise-grade data models with entity relationships, GDPR compliance mapping, and data governance frameworks.

This skill enables enterprise architects and developers to automate the creation of comprehensive data architecture documentation within the ArcKit framework. It processes project requirements to generate Mermaid-based entity-relationship diagrams (ERDs), detailed entity catalogs, CRUD matrices, and data integration mappings. Crucially, it integrates rigorous data governance and compliance checks by mapping PII for GDPR adherence, defining data ownership, and ensuring alignment with UK government security classifications and industry standards like PCI-DSS.

Características Principales

01164 GitHub stars

02GDPR and DPA 2018 compliance mapping for PII and sensitive data

03Automated Mermaid ERD generation from project data requirements

04Data governance and CRUD matrices for stakeholder accountability

05Comprehensive entity cataloging with data classification and retention periods

06Requirements traceability linking every data entity to specific business drivers

Casos de Uso

01Designing compliant database schemas for new enterprise software projects

02Documenting legacy data structures for governance audits or system migrations

03Generating technical data specifications for vendor procurement and integration

Características Principales

01164 GitHub stars

02GDPR and DPA 2018 compliance mapping for PII and sensitive data

03Automated Mermaid ERD generation from project data requirements

04Data governance and CRUD matrices for stakeholder accountability

05Comprehensive entity cataloging with data classification and retention periods

06Requirements traceability linking every data entity to specific business drivers

Casos de Uso

01Designing compliant database schemas for new enterprise software projects

02Documenting legacy data structures for governance audits or system migrations

03Generating technical data specifications for vendor procurement and integration