database-design

Design database schemas from requirements into structured tables with Prisma or Drizzle.

672|104|Updated Apr 10, 2026

Search Tags:#database design #drizzle #sql #indexes #prisma #schema modeling #relational database

Ready to run

npx skills add https://github.com/spencerpauly/awesome-cursor-skills --skill database-design-spencerpauly

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: database-design
Source: https://github.com/spencerpauly/awesome-cursor-skills/tree/main/resources/database-design
Command: npx skills add https://github.com/spencerpauly/awesome-cursor-skills --skill database-design-spencerpauly

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns messy application requirements into clear database designs, reducing schema mistakes and saving time during planning and implementation.

Core Features & Use Cases

Entity Identification: Extracts tables from requirements by spotting the core nouns in a product or feature.
Relationship Modeling: Maps one-to-one, one-to-many, many-to-many, and self-referential links into practical database structures.
Schema Best Practices: Recommends keys, timestamps, naming conventions, constraints, indexes, and deletion strategies.
ORM Guidance: Shows how the schema should be represented in Prisma or Drizzle for implementation.
Use Case: A team building a project management app can use this Skill to design users, projects, tasks, comments, tags, and audit tables with the right relationships and indexes.

Quick Start

Ask the skill to convert your product requirements into a normalized database schema with tables, relationships, indexes, constraints, and ORM mappings.

Frequently Asked Questions about database-design

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

FAQPage Schema

How do I design a relational database schema from raw product requirements?▼

To design a relational database schema from requirements, extract core business nouns to identify tables, then map their one-to-one, one-to-many, many-to-many, and self-referential relationships into structured database tables with proper normalization.

What's the best way to model many-to-many relationships and hierarchies in SQL?▼

Modeling many-to-many relationships in SQL requires junction tables, while hierarchies use self-referential foreign keys, ensuring proper normalization, constraints, and indexing strategies to maintain data integrity and query performance.

How do I set up indexes, constraints, and soft deletes in Prisma or Drizzle?▼

Set up indexes, constraints, and soft deletes in Prisma or Drizzle by defining schema attributes that map to SQL constraints, adding timestamp fields for soft deletion, and generating ORM mappings for implementation.

Can I generate Drizzle or Prisma ORM mappings directly from my database schema design?▼

Yes, you can generate Drizzle or Prisma ORM mappings directly from your database schema design by translating structured tables, primary keys, foreign keys, and constraints into the corresponding ORM configuration syntax.

When should I use soft deletes instead of hard deletes in relational database design?▼

Use soft deletes instead of hard deletes in relational database design when you need to preserve data history for audit logs or recovery, implementing them via timestamp flags rather than permanently removing rows.