creating-amazon-aurora-db-cluster-with-instances

Creates a complete Amazon Aurora database cluster with instances, handling cluster creation, instance provisioning, and Secrets Manager password management in the proper sequence. Use when setting up new Aurora MySQL or PostgreSQL clusters with production-ready configuration.

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Repositório: aws/agent-toolkit-for-aws
Última atividade na origem: 13 de maio de 2026 às 09:01
Idioma detectado do SKILL.md: inglês
Estrelas: 2.383
Forks: 252

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npx skills add https://github.com/aws/agent-toolkit-for-aws --skill creating-amazon-aurora-db-cluster-with-instances

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SKILL.md

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querying-aws-redshift

Enables Redshift system-table (SYS_*) log publishing to S3 Tables in Apache Iceberg format for both Provisioned clusters and Serverless namespaces, verifies publishing status, and queries the published logs via any Iceberg-compatible engine including Redshift and Athena. Covers system tables such as sys_query_history, sys_query_text, sys_connection_log, sys_query_detail, and sys_session_history. Applies when turning on S3 Tables log publishing for a cluster or namespace, confirming publishing status and locating the S3 Tables namespace, querying non-realtime data from Redshift system tables off-cluster at scale, or building dashboards for Redshift monitoring and auditing, especially for historical or high-volume system-table data beyond the in-cluster SYS_ view retention window. Trigger phrases: publish redshift system table log to s3 tables, enable-logging s3 tables, describe redshift logging status, query redshift system tables in athena or redshift, redshift log exports to iceberg.

2026-08-19

agents-build

Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal. Triggers: "add memory", "remember across sessions", "call agent from app", "invoke agent from code", "agent auth", "streaming", "VPC", "VPC connectivity", "can't reach from VPC", "multi-agent", "A2A", "A2A auth", "orchestrator not delegating", "specialist not called", "migrate Bedrock Agent", "migration issue", "change model", "browser tool", "code interpreter", "delete agent", "tear down", "agentcore remove", "cross-account memory", "add payments capability to my agent", "wire payments plugin", "integrate x402 payments with the agent I'm building", "add MPP payments", "Machine Payments Protocol". External APIs via Gateway: use agents-connect. New project: use agents-get-started. CLI/dev-server errors: use agents-debug. Runtime x402/MPP payments: use agents-pay. Migration-specific Strands vs LangGraph routes here.

2026-08-18

amazon-braket

Runs quantum computing workflows on AWS through Amazon Braket — discovering devices (QPUs and simulators) and their availability, building gate-model circuits and analog Hamiltonian programs, submitting quantum tasks, program sets and hybrid jobs, looking up prices, and capping spend with spending limits. Applies to any request about quantum computing, quantum hardware, quantum simulation, AHS, OpenQASM, or running a quantum algorithm on AWS.

2026-08-18

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name	creating-amazon-aurora-db-cluster-with-instances
description	Creates a complete Amazon Aurora database cluster with instances, handling cluster creation, instance provisioning, and Secrets Manager password management in the proper sequence. Use when setting up new Aurora MySQL or PostgreSQL clusters with production-ready configuration.
version	1

Creating Amazon Aurora DB Cluster with Instances

Overview

Domain expertise for creating complete Amazon Aurora database setups including cluster creation, instance provisioning, and managed password configuration via AWS Secrets Manager. Supports both Aurora MySQL and Aurora PostgreSQL engines.

Create an Aurora cluster with instances

To create a fully configured Aurora database cluster with attached instances, follow the procedure exactly. See Aurora cluster creation procedure.

The procedure creates an empty Aurora cluster first, then adds a database instance to make it queryable. It uses AWS Secrets Manager for password management and includes proper status monitoring with retry logic.

Troubleshooting

Cluster creation fails

Verify the engine version is supported in your region and that you have sufficient permissions for RDS and Secrets Manager operations.

Instance creation fails

Check that the instance class is compatible with the Aurora engine and available in your region's availability zones.

Long creation times

Aurora cluster and instance creation can take 10-20 minutes. Extended wait times are normal for Aurora resources.

creating-amazon-aurora-db-cluster-with-instances

Informações da origem

Opções de instalação

Revise os arquivos de origem

Mais deste repositório

Creating Amazon Aurora DB Cluster with Instances

Overview

Create an Aurora cluster with instances

Troubleshooting

Cluster creation fails

Instance creation fails

Long creation times

Mais deste repositório

Creating Amazon Aurora DB Cluster with Instances

Overview

Create an Aurora cluster with instances

Troubleshooting

Cluster creation fails

Instance creation fails

Long creation times