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/aws-rds-database

Deploy and manage relational databases using RDS with Multi-AZ, read replicas, backups, and encryption. Use for PostgreSQL, MySQL, MariaDB, and Oracle.

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useful-ai-prompts
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$ npx -y skills add aj-geddes/useful-ai-prompts --skill aws-rds-database --agent claude-code

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  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/aws-rds-database

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Deploy and manage relational databases using RDS with Multi-AZ, read replicas, backups, and encryption. Use for PostgreSQL, MySQL, MariaDB, and Oracle.

SKILL.md

aws-rds-database.SKILL.md
name: aws-rds-database
description: >
  Deploy and manage relational databases using RDS with Multi-AZ, read replicas,
  backups, and encryption. Use for PostgreSQL, MySQL, MariaDB, and Oracle.

AWS RDS Database

Table of Contents

  • [Overview](#overview)
  • [When to Use](#when-to-use)
  • [Quick Start](#quick-start)
  • [Reference Guides](#reference-guides)
  • [Best Practices](#best-practices)

Overview

Amazon RDS simplifies relational database deployment and operations. Support multiple database engines with automated backups, replication, encryption, and high availability through Multi-AZ deployments.

When to Use

  • PostgreSQL and MySQL applications
  • Transactional databases and OLTP
  • Oracle and Microsoft SQL Server workloads
  • Read-heavy applications with replicas
  • Development and staging environments
  • Data requiring ACID compliance
  • Applications needing automatic backups
  • Disaster recovery scenarios

Quick Start

Minimal working example:

# Create DB subnet group
aws rds create-db-subnet-group \
  --db-subnet-group-name app-db-subnet \
  --db-subnet-group-description "App database subnet" \
  --subnet-ids subnet-12345 subnet-67890

# Create security group for RDS
aws ec2 create-security-group \
  --group-name rds-sg \
  --description "RDS security group" \
  --vpc-id vpc-12345

# Allow inbound PostgreSQL
aws ec2 authorize-security-group-ingress \
  --group-id sg-rds123 \
  --protocol tcp \
  --port 5432 \
  --source-security-group-id sg-app123

# Create RDS instance
aws rds create-db-instance \
  --db-instance-identifier myapp-db \
  --db-instance-class db.t3.micro \
  --engine postgres \
  --engine-version 15.2 \
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the `references/` directory:

| Guide | Contents | |---|---| | [RDS Instance Creation with AWS CLI](references/rds-instance-creation-with-aws-cli.md) | RDS Instance Creation with AWS CLI | | [Terraform RDS Configuration](references/terraform-rds-configuration.md) | Terraform RDS Configuration | | [Database Connection and Configuration](references/database-connection-and-configuration.md) | Database Connection and Configuration |

Best Practices

✅ DO

  • Use Multi-AZ for production
  • Enable automated backups
  • Use encryption at rest and in transit
  • Implement IAM database authentication
  • Create read replicas for scaling
  • Monitor performance metrics
  • Set up CloudWatch alarms
  • Store credentials in Secrets Manager
  • Use parameter groups for configuration

❌ DON'T

  • Store passwords in code
  • Disable encryption
  • Use public accessibility in production
  • Ignore backup retention
  • Skip automated backups
  • Create databases without Multi-AZ
Read more
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