How does this skill handle database migrations?

It provides principles for safe migrations, including multi-phase deployments to prevent downtime and tool-specific guides for Alembic, Prisma, and SQLx.

What programming languages are supported by this skill?

The skill provides implementation patterns and best practices for Python, TypeScript, Rust, and Go.

Can it help me choose between an ORM and a Query Builder?

Yes, it includes a decision matrix to help you choose based on your priorities for development speed, performance, or type-safety.

Does it support serverless database providers?

Yes, it includes specific guidance for serverless and edge-ready databases like Neon (PostgreSQL), PlanetScale (MySQL), and Turso (SQLite).

Does it include security best practices?

Absolutely. It covers essential security measures like parameterized queries to prevent SQL injection, password hashing, and environment variable management.

Relational Database Implementation

Name: Relational Database Implementation
Author: ancoleman

byancoleman

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158

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Database Management

Implements robust relational database systems across Python, Rust, Go, and TypeScript using industry-standard ORMs and query builders.

This skill provides expert guidance for designing and implementing relational database architectures across multiple programming languages. It assists Claude in selecting the optimal database engine—such as PostgreSQL, MySQL, or SQLite—and choosing the right tools like Prisma, SQLAlchemy, SQLx, or sqlc based on project requirements. From managing complex schema migrations and connection pooling to deploying serverless databases on platforms like Neon and PlanetScale, this skill ensures your data layer is type-safe, performant, and production-ready.

Key Features

01Safe production migration patterns and multi-phase deployment strategies

02Comprehensive guidance for ORMs and Query Builders including Prisma, Drizzle, and SQLAlchemy

03Multi-language support for Python, TypeScript, Rust, and Go database layers

04Expert database selection for PostgreSQL, MySQL, SQLite, and distributed edge databases

05158 GitHub stars

06Optimized connection pooling configurations for standard and serverless environments

Use Cases

01Building scalable CRUD applications with transactional integrity and safe data modeling

02Implementing type-safe database queries with compile-time validation in Rust and Go

03Deploying serverless database architectures for edge computing and rapid prototyping

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ancoleman/ai-design-components using-relational-databases

For use in Claude.ai and ChatGPT

Download Skill