Is this skill useful for serverless deployments?

Absolutely. It contains specific patterns for serverless-friendly databases and safe migration strategies designed for ephemeral environments.

How does it handle performance optimization?

It focuses on identifying anti-patterns like N+1 queries, implementing correct indexing strategies, and using tools like EXPLAIN ANALYZE to fine-tune query execution.

What databases does this skill support?

The skill provides strategic guidance for various databases including PostgreSQL, SQLite, Neon, and Turso, helping you choose the best fit for your specific project context.

Can it help me choose between Prisma and Drizzle?

Yes, it includes a dedicated decision-making framework for ORM selection, comparing Drizzle, Prisma, and Kysely based on performance and developer experience.

Database Design & Optimization

Name: Database Design & Optimization
Author: claudiodearaujo

byclaudiodearaujo

0•

数据库管理

Architects scalable database schemas and optimizes query performance through intelligent decision-making and best practices.

This skill transforms Claude into a senior database architect, moving beyond simple SQL generation to provide deep strategic guidance on data modeling. It helps users navigate complex decisions like choosing between PostgreSQL, Neon, or SQLite, selecting the right ORM (Drizzle, Prisma, Kysely), and implementing advanced indexing strategies. By focusing on core principles like normalization, migration safety, and the elimination of N+1 query patterns, it ensures your application's data layer is both performant and maintainable across various deployment environments.

主要功能

01Performance tuning via advanced indexing and EXPLAIN ANALYZE

02ORM selection guidance for Drizzle, Prisma, and Kysely

030 GitHub stars

04Context-aware database selection (PostgreSQL, Neon, Turso, SQLite)

05Comprehensive schema design and normalization patterns

06Safe migration strategies for serverless and production environments

使用场景

01Designing a high-performance data schema for a new application

02Optimizing slow queries and resolving N+1 performance bottlenecks

03Evaluating and migrating between different database engines or ORMs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/izacenter database-design

For use in Claude.ai and ChatGPT

主要功能

01Performance tuning via advanced indexing and EXPLAIN ANALYZE

02ORM selection guidance for Drizzle, Prisma, and Kysely

030 GitHub stars

04Context-aware database selection (PostgreSQL, Neon, Turso, SQLite)

05Comprehensive schema design and normalization patterns

06Safe migration strategies for serverless and production environments

使用场景

01Designing a high-performance data schema for a new application

02Optimizing slow queries and resolving N+1 performance bottlenecks

03Evaluating and migrating between different database engines or ORMs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/izacenter database-design

For use in Claude.ai and ChatGPT