Can I use this for production sizing?

Yes, the skill includes a detailed sizing guide to help you choose the right vCPU and RAM configurations based on your traffic requirements.

Does this skill handle secure connections?

Yes, it provides code snippets that implement SSL/TLS certificate verification and secure connection string handling for both Node.js and Python.

Which database engines does this skill support?

The skill provides patterns for PostgreSQL, Redis (and Valkey), MongoDB, MySQL, and Apache Kafka.

Does it support modern ORMs?

Absolutely, it includes specific configuration patterns for Prisma and Drizzle ORM to ensure seamless database integration.

Managed Databases (DigitalOcean)

Name: Managed Databases (DigitalOcean)
Author: vanman2024

byvanman2024

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Database Management

Provision and connect to DigitalOcean managed database clusters including PostgreSQL, Redis, MongoDB, and Kafka.

About

This skill empowers Claude to architect, deploy, and integrate DigitalOcean's managed database ecosystem into your applications. It provides standardized patterns for cluster provisioning via the doctl CLI, secure connection snippets for popular runtimes like Node.js and Python, and configuration templates for ORMs like Prisma and Drizzle. Whether you are setting up a production PostgreSQL cluster with connection pooling or implementing a caching layer with Redis/Valkey, this skill ensures best practices for security, reliability, and scalability are followed.

Key Features

Multi-engine support including PostgreSQL, MySQL, Redis, MongoDB, and Kafka
Advanced configuration for connection pooling and VPC networking
Secure connection patterns for Node.js and Python with SSL/TLS implementation
Comprehensive resource sizing guidelines for development and production
Standardized provisioning commands using DigitalOcean's doctl CLI
2 GitHub stars

Use Cases

Automating the provisioning of high-availability database clusters for new projects
Implementing secure database connection logic in Node.js or Python microservices
Setting up Redis/Valkey caching patterns with robust failover and retry logic

About

Key Features

Multi-engine support including PostgreSQL, MySQL, Redis, MongoDB, and Kafka
Advanced configuration for connection pooling and VPC networking
Secure connection patterns for Node.js and Python with SSL/TLS implementation
Comprehensive resource sizing guidelines for development and production
Standardized provisioning commands using DigitalOcean's doctl CLI
2 GitHub stars

Use Cases

Automating the provisioning of high-availability database clusters for new projects
Implementing secure database connection logic in Node.js or Python microservices
Setting up Redis/Valkey caching patterns with robust failover and retry logic