backend-data-model

Generate data model documentation with tables, columns, constraints, indexes, and ER diagrams.

25|1|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/parhumm/jaan-to --skill backend-data-model
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: backend-data-model
Source: https://github.com/parhumm/jaan-to/tree/main/adapters/codex/skillpack/skills/backend-data-model
Command: npx skills add https://github.com/parhumm/jaan-to --skill backend-data-model

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data-model documentation is often manual and error-prone; this skill automates the creation of comprehensive data-model docs from entity descriptions.

Core Features & Use Cases

  • Generate tables, columns, and constraints from entities.
  • Produce indexes, migration notes, and cross-cutting patterns (timestamps, tenancy, retention).
  • Create an ER diagram and a ready-to-use template for tooling.

Quick Start

Provide the entities or a PRD reference to generate a complete data-model document.

Frequently Asked Questions about backend-data-model

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

FAQPage Schema
How do I generate data model documentation from entity descriptions?

Generate data model documentation by providing entity specs or a PRD reference to automatically produce tables, columns, constraints, indexes, and migration notes. The skill applies a template-driven approach to create consistent schema docs for both greenfield and brownfield projects.

What is the best way to document database schema changes for an existing project?

Document database schema changes for brownfield projects by applying this skill to capture existing tables, columns, and constraints while generating detailed migration notes. It automates the error-prone manual process to ensure consistent schema documentation.

Can I create an ER diagram from entity specs automatically?

Create an ER diagram directly from entity specs using this skill's template-driven documentation generation. It processes entity descriptions to produce visual entity-relationship diagrams alongside comprehensive data model documents.

Does backend data model documentation include retention rules and tenancy patterns?

Backend data model documentation includes cross-cutting patterns such as retention rules, tenancy, and timestamps. The skill captures these patterns alongside tables, columns, constraints, and indexes to produce production-ready schema docs.

How do I document database indexes and constraints from a PRD?

Document database indexes and constraints by providing a PRD reference to the skill. It processes the product requirements to automatically generate a complete data model document detailing all constraints, indexes, and migration notes.

What are the limitations of automated data model documentation generation?

Automated data model documentation relies on accurate entity descriptions or PRD references as input. The generated schema docs, ER diagrams, and migration notes are only as comprehensive as the provided entity specs, requiring clear initial definitions for production-ready output.