Official agent skill

Creating Amazon Aurora DB Cluster With Instances

by aws in aws/agent-toolkit-for-aws

Creates a complete Amazon Aurora database cluster with instances, handling cluster creation, instance provisioning, and Secrets Manager password management in the proper sequence.

OfficialApache-2.0Auto-check passedDatabases

Install Creating Amazon Aurora DB Cluster With Instances

skills CLI
$ npx skills add aws/agent-toolkit-for-aws --skill creating-amazon-aurora-db-cluster-with-instances -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aws/agent-toolkit-for-aws creating-amazon-aurora-db-cluster-with-instances --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances .claude/skills/creating-amazon-aurora-db-cluster-with-instances && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
creating-amazon-aurora-db-cluster-with-instances
GitHub stars
2.8k
Token cost
~403 tokens
SKILL.md length
163 words
Files
2 (incl. references)
Skills in repo
138
Repo updated
First seen
Licence
Apache-2.0

At a glance

Creates a complete Amazon Aurora database cluster with instances, handling cluster creation, instance provisioning, and Secrets Manager password management in the proper sequence.

  • Setting up new Aurora MySQL
  • SKILL.md covers Overview, Create an Aurora cluster with… and Troubleshooting
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • PostgreSQL clusters with production-ready configuration

What it does

Creating Amazon Aurora DB Cluster With Instances is an agent skill from aws/agent-toolkit-for-aws, published by the product's own GitHub organization. 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.

Its SKILL.md is about 400 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/create-amazon-aurora-db-cluster-with-instances.md`).

It sits in Databases. It works with MySQL, PostgreSQL and Amazon Web Services. The repository describes itself as: Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS. The licence is Apache-2.0.

When your agent uses it

  • Setting up new Aurora MySQL
  • PostgreSQL clusters with production-ready configuration

Example prompts

  • “Use the creating-amazon-aurora-db-cluster-with-instances skill to create a complete Amazon Aurora database cluster with instances, handling cluster…”
  • “/creating-amazon-aurora-db-cluster-with-instances”

What it can do on your machine

Read from SKILL.md and the folder at commit 2cb0fa1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Creating Amazon Aurora DB Cluster With Instances loads about 403 tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 163 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~403
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aws/agent-toolkit-for-aws at commit 2cb0fa1, republished under its Apache-2.0 licence (© aws). 163 words, ~403 tokens.

Download SKILL.mdSave it as .claude/skills/creating-amazon-aurora-db-cluster-with-instances/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
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.

© aws, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances of aws/agent-toolkit-for-aws.

  • SKILL.md
  • references/create-amazon-aurora-db-cluster-with-instances.md

Open the folder on GitHubat commit 2cb0fa1

Compare with similar skills

Creating Amazon Aurora DB Cluster With Instances next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Creating Amazon Aurora DB Cluster With Instances compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Creating Amazon Aurora DB Cluster With Instances this skillaws/agent-toolkit-for-aws2.8k—~403Automated safety check: PassApache-2.0
Database Rds Devopsaws/tools-for-devops-agent103—~4.4kAutomated safety check: PassApache-2.0
AWS Cloudformation Rdsgiuseppe-trisciuoglio/developer-kit357—~3kAutomated safety check: NotesMIT
AWS Rds Spring Boot Integrationgiuseppe-trisciuoglio/developer-kit357—~2.1kAutomated safety check: NotesMIT
How To Communicatedatabasus/databasus8.8k—~3.9kAutomated safety check: PassMIT
SQL Database Support for pRESTprest/prest4.6k—~1.6kAutomated safety check: PassMIT

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Categories

Questions about Creating Amazon Aurora DB Cluster With Instances

What does Creating Amazon Aurora DB Cluster With Instances do?

Creates a complete Amazon Aurora database cluster with instances, handling cluster creation, instance provisioning, and Secrets Manager password management in the proper sequence. Creating Amazon Aurora DB Cluster With Instances is an agent skill from aws/agent-toolkit-for-aws, published by the product's own GitHub organization. Creates a complete Amazon Aurora database cluster with instances, handling cluster creation, instance provisioning, and Secrets Manager password management in the proper sequence.

When should I use Creating Amazon Aurora DB Cluster With Instances?

Creating Amazon Aurora DB Cluster With Instances fits situations like: setting up new Aurora MySQL; postgreSQL clusters with production-ready configuration.

How do I install Creating Amazon Aurora DB Cluster With Instances in Claude Code?

Run `npx skills add aws/agent-toolkit-for-aws --skill creating-amazon-aurora-db-cluster-with-instances -a claude-code`. Or copy the skill folder (skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances in aws/agent-toolkit-for-aws) into .claude/skills/creating-amazon-aurora-db-cluster-with-instances in your project. Claude Code loads it when a task matches its description.

How do I install Creating Amazon Aurora DB Cluster With Instances in Codex?

Run `npx skills add aws/agent-toolkit-for-aws --skill creating-amazon-aurora-db-cluster-with-instances -a codex`. Or copy the skill folder (skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances in aws/agent-toolkit-for-aws) into .agents/skills/creating-amazon-aurora-db-cluster-with-instances in your project. Codex loads it when a task matches its description.

Can I use Creating Amazon Aurora DB Cluster With Instances in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aws/agent-toolkit-for-aws --skill creating-amazon-aurora-db-cluster-with-instances -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/creating-amazon-aurora-db-cluster-with-instances, .gemini/skills/creating-amazon-aurora-db-cluster-with-instances, .github/skills/creating-amazon-aurora-db-cluster-with-instances and .opencode/skills/creating-amazon-aurora-db-cluster-with-instances in your project.

What does Creating Amazon Aurora DB Cluster With Instances need to run?

SKILL.md names no scripts, command-line tools or credentials: Creating Amazon Aurora DB Cluster With Instances is instructions for the agent only.

Does Creating Amazon Aurora DB Cluster With Instances access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Creating Amazon Aurora DB Cluster With Instances safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Creating Amazon Aurora DB Cluster With Instances use?

Creating Amazon Aurora DB Cluster With Instances is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Creating Amazon Aurora DB Cluster With Instances use?

About 403 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Creating Amazon Aurora DB Cluster With Instances?

Skills that share tags, products or a category with Creating Amazon Aurora DB Cluster With Instances: Database Rds Devops (aws/tools-for-devops-agent, 103 stars), AWS Cloudformation Rds (giuseppe-trisciuoglio/developer-kit, 357 stars), AWS Rds Spring Boot Integration (giuseppe-trisciuoglio/developer-kit, 357 stars) and How To Communicate (databasus/databasus, 8.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Creating Amazon Aurora DB Cluster With Instances?

aws (a GitHub organization, an official publisher) maintains it in aws/agent-toolkit-for-aws, which has 2,835 GitHub stars. The repository holds 138 skills in this directory. The repository was last updated on October 9, 2026.

Source: aws/agent-toolkit-for-aws on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.