Database Rds Devops
aws/tools-for-devops-agent
Database-level data-plane diagnostics for Aurora MySQL and Aurora PostgreSQL.
Official agent skill
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.
$ npx skills add aws/agent-toolkit-for-aws --skill creating-amazon-aurora-db-cluster-with-instances -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws/agent-toolkit-for-aws creating-amazon-aurora-db-cluster-with-instances --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "creating-amazon-aurora-db-cluster-with-instances" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances into .claude/skills/creating-amazon-aurora-db-cluster-with-instances/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creating-amazon-aurora-db-cluster-with-instances", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instancesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aws/agent-toolkit-for-aws --skill creating-amazon-aurora-db-cluster-with-instances -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws/agent-toolkit-for-aws creating-amazon-aurora-db-cluster-with-instances --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances .agents/skills/creating-amazon-aurora-db-cluster-with-instances && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "creating-amazon-aurora-db-cluster-with-instances" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances into .agents/skills/creating-amazon-aurora-db-cluster-with-instances/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creating-amazon-aurora-db-cluster-with-instances", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aws/agent-toolkit-for-aws --skill creating-amazon-aurora-db-cluster-with-instances -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws/agent-toolkit-for-aws creating-amazon-aurora-db-cluster-with-instances --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances .cursor/skills/creating-amazon-aurora-db-cluster-with-instances && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "creating-amazon-aurora-db-cluster-with-instances" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances into .cursor/skills/creating-amazon-aurora-db-cluster-with-instances/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creating-amazon-aurora-db-cluster-with-instances", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aws/agent-toolkit-for-aws.git --path skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aws/agent-toolkit-for-aws --skill creating-amazon-aurora-db-cluster-with-instances -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws/agent-toolkit-for-aws creating-amazon-aurora-db-cluster-with-instances --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances .gemini/skills/creating-amazon-aurora-db-cluster-with-instances && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "creating-amazon-aurora-db-cluster-with-instances" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances into .gemini/skills/creating-amazon-aurora-db-cluster-with-instances/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creating-amazon-aurora-db-cluster-with-instances", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aws/agent-toolkit-for-aws creating-amazon-aurora-db-cluster-with-instancesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aws/agent-toolkit-for-aws --skill creating-amazon-aurora-db-cluster-with-instances -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances .github/skills/creating-amazon-aurora-db-cluster-with-instances && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "creating-amazon-aurora-db-cluster-with-instances" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances into .github/skills/creating-amazon-aurora-db-cluster-with-instances/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creating-amazon-aurora-db-cluster-with-instances", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aws/agent-toolkit-for-aws --skill creating-amazon-aurora-db-cluster-with-instances -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aws/agent-toolkit-for-aws creating-amazon-aurora-db-cluster-with-instances --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances .opencode/skills/creating-amazon-aurora-db-cluster-with-instances && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "creating-amazon-aurora-db-cluster-with-instances" agent skill from https://github.com/aws/agent-toolkit-for-aws/tree/main/skills/specialized-skills/database-skills/creating-amazon-aurora-db-cluster-with-instances into .opencode/skills/creating-amazon-aurora-db-cluster-with-instances/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "creating-amazon-aurora-db-cluster-with-instances", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
creating-amazon-aurora-db-cluster-with-instancesCreates 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. 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.
Read from SKILL.md and the folder at commit 2cb0fa1. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from aws/agent-toolkit-for-aws at commit 2cb0fa1, republished under its Apache-2.0 licence (© aws). 163 words, ~403 tokens.
.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.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.
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.
Verify the engine version is supported in your region and that you have sufficient permissions for RDS and Secrets Manager operations.
Check that the instance class is compatible with the Aurora engine and available in your region's availability zones.
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
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.
Open the folder on GitHubat commit 2cb0fa1
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Creating Amazon Aurora DB Cluster With Instances this skillaws/agent-toolkit-for-aws | 2.8k | — | ~403 | Automated safety check: Pass | Apache-2.0 | |
| Database Rds Devopsaws/tools-for-devops-agent | 103 | — | ~4.4k | Automated safety check: Pass | Apache-2.0 | |
| AWS Cloudformation Rdsgiuseppe-trisciuoglio/developer-kit | 357 | — | ~3k | Automated safety check: Notes | MIT | |
| AWS Rds Spring Boot Integrationgiuseppe-trisciuoglio/developer-kit | 357 | — | ~2.1k | Automated safety check: Notes | MIT | |
| How To Communicatedatabasus/databasus | 8.8k | — | ~3.9k | Automated safety check: Pass | MIT | |
| SQL Database Support for pRESTprest/prest | 4.6k | — | ~1.6k | Automated safety check: Pass | MIT |
aws/tools-for-devops-agent
Database-level data-plane diagnostics for Aurora MySQL and Aurora PostgreSQL.
giuseppe-trisciuoglio/developer-kit
Provides AWS CloudFormation patterns for Amazon RDS databases.
giuseppe-trisciuoglio/developer-kit
Provides patterns to configure AWS RDS (Aurora, MySQL, PostgreSQL) with Spring Boot applications.
databasus/databasus
Communicate clearly in every response, progress update and agent-authored document.
prest/prest
Guides classifying, gap-analyzing and scaffolding support for a new SQL database in pREST, from Postgres-compatible variants to entirely new dialects.
vemetric/vemetric
A skill your agent uses when the user wants to run SQL — especially analytical SQL — on local files (parquet/csv/json), URLs, S3 paths, or remote databases (Postgres, MySQL, MongoDB, ClickHouse…
aws/agent-toolkit-for-aws
Entry point for AI-agent work on AWS: pick a runtime, plan a migration for existing workloads, and build an executable POC — one phased flow.
aws/agent-toolkit-for-aws
A skill your agent uses to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal.
aws/agent-toolkit-for-aws
Migrates vibe-coded web applications to AWS. An agent skill from aws/agent-toolkit-for-aws.
aws/agent-toolkit-for-aws
Deploy an event-driven workflow that routes S3 uploads to either Lambda or Fargate via Step Functions based on file size.
aws/agent-toolkit-for-aws
Deploys, queries, and debugs AWS Marketplace usage-based (PAYG) metering — the pipeline (ResolveCustomer, BatchMeterUsage, EventBridge via SAM) and querying/debugging metering records, statuses…
aws/agent-toolkit-for-aws
A skill your agent uses when THIS agent needs to pay for x402-protected content at runtime: hitting a paywall mid-task, settling it via AgentCore Payments, and applying operator-defined spend limits.
Works with
Categories
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.
Creating Amazon Aurora DB Cluster With Instances fits situations like: setting up new Aurora MySQL; postgreSQL clusters with production-ready configuration.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Creating Amazon Aurora DB Cluster With Instances is instructions for the agent only.
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.
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.
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.
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.
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.
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.