Why is this better than manually writing schemas?

It provides a standardized framework that catches common architectural mistakes early, ensuring your database design is scalable for 10x or 100x growth.

Which database and ORM does this skill support?

This skill is specifically tailored for Neon (Postgres) using Drizzle ORM, ensuring deep integration with their specific features and best practices.

How does this skill handle database migrations?

It enforces a strict policy where all schema changes must have corresponding migration files, preventing schema drift between development and production environments.

Can this skill help optimize slow database queries?

Yes, it proactively identifies missing indexes and suggests structural changes to relationships that may be causing performance bottlenecks.

Does it provide guidance on data lifecycle management?

Absolutely. The skill includes prompts for handling soft deletes, data archival, and retention policies to keep your database lean and performant.

Database Management & Schema Optimization

Name: Database Management & Schema Optimization
Author: SylphxAI

bySylphxAI

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Database Management

Manages database schemas, migrations, and performance optimizations using Drizzle ORM and Neon Postgres.

About

This skill empowers Claude to act as a seasoned database architect, specializing in Drizzle ORM and Neon (Postgres) environments. It ensures rigorous schema integrity by enforcing mandatory migrations, preventing schema drift across environments, and identifying potential bottlenecks before they impact production. By focusing on data lifecycle management, relationship modeling, and proactive index optimization, this skill helps developers build scalable, resilient data layers that are easy to query and maintain even as applications grow significantly in complexity and scale.

Key Features

Schema design and relationship modeling for Drizzle ORM
Automated migration file generation and integrity validation
Performance optimization through proactive indexing strategies
Enforcement of constraints to prevent invalid application states
Scalability assessments for high-growth data scenarios
4 GitHub stars

Use Cases

Designing production-grade Postgres schemas with complex relationships
Implementing CI/CD guardrails to prevent schema drift and missing migrations
Refactoring legacy data models for better query performance and archival

About

Key Features

Schema design and relationship modeling for Drizzle ORM
Automated migration file generation and integrity validation
Performance optimization through proactive indexing strategies
Enforcement of constraints to prevent invalid application states
Scalability assessments for high-growth data scenarios
4 GitHub stars

Use Cases

Designing production-grade Postgres schemas with complex relationships
Implementing CI/CD guardrails to prevent schema drift and missing migrations
Refactoring legacy data models for better query performance and archival