Can it help me choose between different ORMs?

Yes, the skill includes specialized logic to compare tools like Prisma, Drizzle, and Kysely based on your project's runtime and type-safety requirements.

Why use this skill instead of standard AI coding prompts?

This skill enforces architectural 'thinking' over simple code copying, ensuring that your database decisions are grounded in context rather than generic templates.

Does it support serverless database environments?

Absolutely. It contains specific patterns for working with serverless-first databases like Neon and Turso, including guidance on safe migration workflows.

How does this skill improve database performance?

It provides specific strategies for indexing, query optimization using EXPLAIN ANALYZE, and identifying common bottlenecks like N+1 queries before they reach production.

Database Design Architect

Name: Database Design Architect
Author: claudiodearaujo

byclaudiodearaujo

0•

Gestión de Bases de Datos

Optimizes database architecture by providing expert guidance on schema design, ORM selection, and performance indexing.

The Database Design skill empowers Claude to act as a senior database architect, moving beyond generic SQL generation to provide strategic data modeling and infrastructure advice. It guides the selection of databases (such as PostgreSQL, Neon, or SQLite) and ORMs (like Drizzle, Prisma, or Kysely) based on specific project contexts while enforcing industry best practices for normalization, indexing, and migration management. This skill is essential for developers building data-intensive applications who need to ensure long-term scalability and query efficiency from the initial design phase.

Características Principales

010 GitHub stars

02Strategic indexing and query performance optimization patterns

03Context-aware database and ORM selection (PostgreSQL, Neon, Turso, SQLite)

04Best practices for safe migrations and serverless database environments

05Identification and resolution of anti-patterns like N+1 queries and SELECT *

06Advanced schema normalization and relationship mapping guidance

Casos de Uso

01Migrating from traditional database setups to serverless architectures like Neon or Turso

02Designing a scalable relational schema for a new full-stack SaaS application

03Optimizing slow database queries through strategic indexing and EXPLAIN ANALYZE logic

Características Principales

010 GitHub stars

02Strategic indexing and query performance optimization patterns

03Context-aware database and ORM selection (PostgreSQL, Neon, Turso, SQLite)

04Best practices for safe migrations and serverless database environments

05Identification and resolution of anti-patterns like N+1 queries and SELECT *

06Advanced schema normalization and relationship mapping guidance

Casos de Uso

01Migrating from traditional database setups to serverless architectures like Neon or Turso

02Designing a scalable relational schema for a new full-stack SaaS application

03Optimizing slow database queries through strategic indexing and EXPLAIN ANALYZE logic