database-design

Guide database schema design covering normalization, keys, and indexing.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Purple-Group/vector-team-cursor --skill database-design-purple-group
Or copy as Structured Prompt for Agent
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Skill: database-design
Source: https://github.com/Purple-Group/vector-team-cursor/tree/main/.cursor/skills/database-design
Command: npx skills add https://github.com/Purple-Group/vector-team-cursor --skill database-design-purple-group

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Database design principles and decision-making to help teams build scalable and maintainable schemas.

Core Features & Use Cases

  • Normalization decision guidance: when to normalize vs denormalize to balance data integrity and performance.
  • Key and timestamp strategy: guidance on primary keys, timestamps, and soft-delete patterns.
  • Relational design patterns: guidance on relationships, foreign keys, and delete behaviors to prevent anomalies.

Quick Start

Review the guide and start applying normalization, PK choices, and indexing strategies to a sample schema.

Frequently Asked Questions about database-design

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

FAQPage Schema
When should I normalize vs denormalize my database schema?

Normalize your schema to maintain data integrity, and denormalize selectively to optimize read performance. This balance prevents update anomalies while ensuring efficient data retrieval for scalable applications.

How do I choose primary keys and timestamp strategies for relational data modeling?

Select primary keys that guarantee unique identification and apply timestamp fields to track creation and modification events. Implementing soft-delete patterns allows data recovery while maintaining referential integrity across relationships.

What are the best indexing guidelines for a scalable database?

Apply indexing guidelines by targeting foreign keys, primary keys, and frequently filtered columns to accelerate query performance. Strategic index creation minimizes full-table scans and reduces latency in scalable database architectures.

Does this database design guidance work for serverless database patterns?

Yes, the guidance covers serverless database patterns by addressing schema migrations and indexing within distributed environments. It ensures your relational data modeling remains scalable and maintainable across serverless architectures.

How do I handle foreign key behaviors and delete actions to prevent anomalies?

Configure foreign key delete behaviors like cascade or restrict to prevent relational data anomalies during record removal. Setting explicit relationship constraints and delete rules maintains referential integrity across connected database tables.