Agent skill

AWS Cloudformation Rds

by giuseppe-trisciuoglio in giuseppe-trisciuoglio/developer-kit

Provides AWS CloudFormation patterns for Amazon RDS databases.

MITAuto-check: notesDatabases

Install AWS Cloudformation Rds

skills CLI
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-rds -a claude-code

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

GitHub CLI
$ gh skill install giuseppe-trisciuoglio/developer-kit aws-cloudformation-rds --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/giuseppe-trisciuoglio/developer-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-rds .claude/skills/aws-cloudformation-rds && 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
aws-cloudformation-rds
GitHub stars
357
Token cost
~3k tokens
SKILL.md length
613 words
Files
9 (incl. references)
Skills in repo
115
Repo updated
First seen
Licence
MIT

At a glance

Provides AWS CloudFormation patterns for Amazon RDS databases.

  • Works in 6 steps: Define Database Parameters → Create DB Subnet Group → Configure Security Group → …
  • Creating RDS instances (MySQL
  • SKILL.md covers Overview, When to Use, Quick Reference and Instructions, plus 4 more sections
  • Calls aws

What it does

AWS Cloudformation Rds is an agent skill from giuseppe-trisciuoglio/developer-kit. Provides AWS CloudFormation patterns for Amazon RDS databases. Use when creating RDS instances (MySQL, PostgreSQL, Aurora), DB clusters, multi-AZ deployments, parameter groups, subnet groups, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references.

Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/constraints.md`, `references/database-components.md` and `references/examples.md`).

It sits in Databases, covering Deployment and Backup and disaster recovery. It works with AWS CloudFormation, MySQL, PostgreSQL and Amazon Web Services. The repository describes itself as: Modular plugin marketplace for Claude Code and agentic CLIs, with validated, spec-driven skills, agents, commands, and workflows for Java, TypeScript, Python, PHP, AWS, and AI. The licence is MIT.

When your agent uses it

  • Creating RDS instances (MySQL
  • Multi-AZ deployments
  • Parameter groups
  • Implementing template structure with Parameters

Example prompts

  • “Use the aws-cloudformation-rds skill to provide AWS CloudFormation patterns for Amazon RDS databases”
  • “/aws-cloudformation-rds”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Bash

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Define Database Parameters
  2. Create DB Subnet Group
  3. Configure Security Group
  4. Launch RDS Instance
  5. Enable High Availability
  6. Define Outputs

What it can do on your machine

Read from SKILL.md and the folder at commit fe73fb3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • aws

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

  • Network

    No URLs in SKILL.md. Its commands use aws, which can reach the network depending on how they are called.

    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

AWS Cloudformation Rds loads about 3k tokens when it runs, and up to ~35k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 613 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~35k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Bash

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 giuseppe-trisciuoglio/developer-kit at commit fe73fb3, republished under its MIT licence (© giuseppe-trisciuoglio). 613 words, ~3,024 tokens.

Download SKILL.mdSave it as .claude/skills/aws-cloudformation-rds/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
aws-cloudformation-rds
description
Provides AWS CloudFormation patterns for Amazon RDS databases. Use when creating RDS instances (MySQL, PostgreSQL, Aurora), DB clusters, multi-AZ deployments, parameter groups, subnet groups, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references.
allowed-tools
Read, Write, Bash

AWS CloudFormation RDS Database

Overview

Create production-ready Amazon RDS infrastructure using AWS CloudFormation templates. Covers RDS instances (MySQL, PostgreSQL, Aurora), DB clusters, multi-AZ deployments, parameter groups, subnet groups, security groups, and cross-stack references.

When to Use

  • Creating RDS instances (MySQL, PostgreSQL, Aurora) or DB clusters with read replicas
  • Setting up multi-AZ deployments or configuring parameter/subnet groups
  • Integrating with Secrets Manager or implementing cross-stack references

Quick Reference

ComponentCloudFormation TypeUse Case
DB InstanceAWS::RDS::DBInstanceSingle database instance
DB ClusterAWS::RDS::DBClusterAurora cluster
DB Subnet GroupAWS::RDS::DBSubnetGroupVPC deployment
Parameter GroupAWS::RDS::DBParameterGroupDatabase configuration
Security GroupAWS::EC2::SecurityGroupNetwork access control
Secrets ManagerAWS::SecretsManager::SecretCredential storage

Instructions

Step 1 — Define Database Parameters

Use AWS-specific parameter types for validation.

yaml
Parameters:
  DBInstanceClass:
    Type: AWS::RDS::DBInstance::InstanceType
    Default: db.t3.micro
    AllowedValues: [db.t3.micro, db.t3.small, db.t3.medium]

  Engine:
    Type: String
    Default: mysql
    AllowedValues: [mysql, postgres, aurora-mysql, aurora-postgresql]

  MasterUsername:
    Type: String
    Default: admin
    AllowedPattern: "^[a-zA-Z][a-zA-Z0-9]*$"
    MinLength: 1
    MaxLength: 16

  MasterUserPassword:
    Type: String
    NoEcho: true
    MinLength: 8
    MaxLength: 41

See template-structure.md for advanced parameter patterns, mappings, conditions, and cross-stack references.

Step 2 — Create DB Subnet Group

Required for VPC deployment with subnets in different AZs.

yaml
DBSubnetGroup:
  Type: AWS::RDS::DBSubnetGroup
  Properties:
    DBSubnetGroupDescription: Subnet group for RDS
    SubnetIds:
      - !Ref PrivateSubnet1
      - !Ref PrivateSubnet2

See database-components.md for parameter groups, option groups, and engine-specific configurations.

Step 3 — Configure Security Group

Restrict access to application tier only.

yaml
DBSecurityGroup:
  Type: AWS::EC2::SecurityGroup
  Properties:
    GroupDescription: Security group for RDS
    VpcId: !Ref VpcId
    SecurityGroupIngress:
      - IpProtocol: tcp
        FromPort: 3306
        ToPort: 3306
        SourceSecurityGroupId: !Ref AppSecurityGroup

See security-secrets.md for VPC security groups, encryption, Secrets Manager integration, and IAM authentication.

Step 4 — Launch RDS Instance

Configure instance with subnet group, security group, and settings.

yaml
DBInstance:
  Type: AWS::RDS::DBInstance
  Properties:
    DBInstanceIdentifier: !Sub "${AWS::StackName}-mysql"
    DBInstanceClass: !Ref DBInstanceClass
    Engine: !Ref Engine
    MasterUsername: !Ref MasterUsername
    MasterUserPassword: !Ref MasterUserPassword
    AllocatedStorage: 20
    StorageType: gp3
    DBSubnetGroupName: !Ref DBSubnetGroup
    VPCSecurityGroups: [!Ref DBSecurityGroup]
    StorageEncrypted: true
    MultiAZ: true
    BackupRetentionPeriod: 7
    DeletionProtection: false

See database-components.md for MySQL, PostgreSQL, Aurora cluster configurations, and parameter groups.

Step 5 — Enable High Availability

Configure multi-AZ deployment for production.

yaml
Conditions:
  IsProduction: !Equals [!Ref Environment, production]

Resources:
  DBInstance:
    Type: AWS::RDS::DBInstance
    Properties:
      MultiAZ: !If [IsProduction, true, false]
      BackupRetentionPeriod: !If [IsProduction, 35, 7]
      DeletionProtection: !If [IsProduction, true, false]
      EnablePerformanceInsights: !If [IsProduction, true, false]

See high-availability.md for multi-AZ deployments, read replicas, Aurora auto-scaling, enhanced monitoring, and disaster recovery.

Step 6 — Define Outputs

Export connection details for application stacks.

yaml
Outputs:
  DBInstanceEndpoint:
    Description: Database endpoint address
    Value: !GetAtt DBInstance.Endpoint.Address
    Export:
      Name: !Sub ${AWS::StackName}-DBEndpoint

  DBInstancePort:
    Description: Database port
    Value: !GetAtt DBInstance.Endpoint.Port
    Export:
      Name: !Sub ${AWS::StackName}-DBPort

  DBConnectionString:
    Description: Connection string
    Value: !Sub jdbc:mysql://${DBInstance.Endpoint.Address}:${DBInstance.Endpoint.Port}/${DBName}

See template-structure.md for cross-stack reference patterns and import/export strategies.

Validation Steps

Always validate before deploying, especially to production.

bash
# Validate the template syntax
aws cloudformation validate-template --template-body file://template.yaml

# Review the change set before applying updates
aws cloudformation create-change-set \
  --stack-name my-rds-stack \
  --template-body file://template.yaml \
  --change-set-type UPDATE

aws cloudformation describe-change-set --change-set-name <arn>

# Execute the change set if the preview looks correct
aws cloudformation execute-change-set --change-set-name <arn>

Best Practices

CategoryPracticeImplementation
SecurityEncryption at restStorageEncrypted: true with KMS key
SecurityCredential managementUse Secrets Manager integration
SecurityNetwork isolationPrivate subnets, restrictive SG rules
SecurityIAM authenticationEnable IAMDatabaseAuthentication
HAMulti-AZ deploymentMultiAZ: true for production
HADeletion protectionDeletionProtection: true for production
HABackup retention35 days for production, 7 for dev
HARead replicasUse for read-heavy workloads
CostStorage typeUse gp3 for cost efficiency
CostInstance sizingRight-size based on workload
CostServerlessConsider Aurora Serverless for variable loads
OperationsChange setsAlways review before applying updates
OperationsDrift detectionEnable for template compliance
OperationsMonitoringConfigure CloudWatch alarms

See operational-practices.md for detailed guidance on stack policies, termination protection, and backup strategies.

Show full SKILL.md (239 more words)Show less

Examples

Complete production-ready RDS instance with MultiAZ, encryption, and Secrets Manager integration:

yaml
AWSTemplateFormatVersion: '2010-09-09'
Description: Production RDS Instance

Parameters:
  VpcId:
    Type: AWS::EC2::VPC::Identifier
  SubnetIds:
    Type: List<AWS::EC2::Subnet::Identifier>
  AppSecurityGroupId:
    Type: AWS::EC2::SecurityGroup::Id
  Environment:
    Type: String
    AllowedValues: [dev, staging, production]
  MasterUsername:
    Type: String
    Default: dbadmin

Conditions:
  IsProduction: !Equals [!Ref Environment, production]

Resources:
  DBSubnetGroup:
    Type: AWS::RDS::DBSubnetGroup
    Properties:
      DBSubnetGroupDescription: !Sub "${AWS::StackName} subnet group"
      SubnetIds: !Ref SubnetIds

  DBSecurityGroup:
    Type: AWS::EC2::SecurityGroup
    Properties:
      GroupDescription: !Sub "${AWS::StackName} RDS security group"
      VpcId: !Ref VpcId
      SecurityGroupIngress:
        - IpProtocol: tcp
          FromPort: 3306
          ToPort: 3306
          SourceSecurityGroupId: !Ref AppSecurityGroupId

  DBInstance:
    Type: AWS::RDS::DBInstance
    DeletionPolicy: Snapshot
    UpdateReplacePolicy: Snapshot
    Properties:
      DBInstanceIdentifier: !Sub "${AWS::StackName}-mysql"
      DBInstanceClass: db.t3.medium
      Engine: mysql
      EngineVersion: '8.0'
      MasterUsername: !Ref MasterUsername
      MasterUserPassword: !Ref MasterUserPassword
      AllocatedStorage: 50
      StorageType: gp3
      StorageEncrypted: true
      KmsKeyId: !Ref KmsKeyId
      DBSubnetGroupName: !Ref DBSubnetGroup
      VPCSecurityGroups: [!Ref DBSecurityGroup]
      MultiAZ: !If [IsProduction, true, false]
      BackupRetentionPeriod: !If [IsProduction, 35, 7]
      DeletionProtection: !If [IsProduction, true, false]
      EnablePerformanceInsights: !If [IsProduction, true, false]
      PerformanceInsightsRetentionPeriod: !If [IsProduction, 731, 7]

  KmsKeyId:
    Type: AWS::KMS::Key
    Condition: IsProduction
    Properties:
      Description: KMS key for RDS encryption
      EnableKeyRotation: true
      KeyPolicy:
        Version: '2012-10-17'
        Statement:
          - Sid: Enable IAM User Permissions
            Effect: Allow
            Principal:
              AWS: !Sub arn:aws:iam::${AWS::AccountId}:root
            Action: kms:*
            Resource: '*'

Outputs:
  DBEndpoint:
    Description: Database endpoint
    Value: !GetAtt DBInstance.Endpoint.Address
    Export:
      Name: !Sub ${AWS::StackName}-DBEndpoint
  DBPort:
    Description: Database port
    Value: !GetAtt DBInstance.Endpoint.Port
    Export:
      Name: !Sub ${AWS::StackName}-DBPort

See examples.md for additional examples including Aurora clusters, read replicas, and multi-region setups.

References

Core Configuration
Operational Guides
  • operational-practices.md — Stack policies, termination protection, drift detection, change sets, monitoring
  • constraints.md — Resource limits, operational constraints, security constraints, cost considerations
Additional Resources

Constraints and Warnings

Resource Limits
  • Maximum storage size varies by engine (up to 64 TB for MySQL/PostgreSQL)
  • Maximum 500 resources per CloudFormation stack
  • Parameter group limits vary by account/region
Cost Considerations
  • Multi-AZ deployments cost approximately double single-AZ
  • Provisioned IOPS (io1) significantly increases costs
  • Backup storage beyond free tier incurs monthly costs
  • Manual snapshots incur storage costs even after instance deletion
Security Constraints
  • Master password cannot be retrieved after creation
  • Encryption at rest cannot be disabled once enabled
  • RDS instances must be in VPC (public access not recommended)
  • Security group rules must restrict access to application tier
Operational Constraints
  • Certain modifications (engine version, storage type) require instance replacement with downtime
  • Maintenance windows may cause brief service interruptions
  • Read replicas may lag behind primary by seconds to minutes
  • Not all database engines available in all regions

See constraints.md for complete constraints, troubleshooting guides, and performance considerations.

© giuseppe-trisciuoglio, MIT. 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 8 other files (references) in plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-rds of giuseppe-trisciuoglio/developer-kit.

  • SKILL.md
  • references/constraints.md
  • references/database-components.md
  • references/examples.md
  • references/high-availability.md
  • references/operational-practices.md
  • references/reference.md
  • references/security-secrets.md
  • references/template-structure.md

Open the folder on GitHubat commit fe73fb3

Compare with similar skills

AWS Cloudformation Rds 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.

AWS Cloudformation Rds compared with similar skills
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AWS Cloudformation Rds this skillgiuseppe-trisciuoglio/developer-kit357—~3kAutomated safety check: NotesMIT
Rds Ossaws/agent-toolkit-for-aws2.8k—~6.2kAutomated safety check: PassApache-2.0
Database Backupssickn33/agentic-awesome-skills47k2 repos~3.1kAutomated safety check: NotesMIT
GCP Cloud SQLsickn33/agentic-awesome-skills47k2 repos~2.4kAutomated safety check: PassMIT
Azure Resource Manager Mysql Dotnetmicrosoft/skills3.1k5 repos~3.5kAutomated safety check: PassMIT
Azure Resource Manager Postgresql Dotnetmicrosoft/skills3.1k5 repos~4kAutomated safety check: PassMIT

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Questions about AWS Cloudformation Rds

What does AWS Cloudformation Rds do?

Provides AWS CloudFormation patterns for Amazon RDS databases. AWS Cloudformation Rds is an agent skill from giuseppe-trisciuoglio/developer-kit. Provides AWS CloudFormation patterns for Amazon RDS databases.

When should I use AWS Cloudformation Rds?

AWS Cloudformation Rds fits situations like: creating RDS instances (MySQL; multi-AZ deployments; parameter groups; implementing template structure with Parameters.

How do I install AWS Cloudformation Rds in Claude Code?

Run `npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-rds -a claude-code`. Or copy the skill folder (plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-rds in giuseppe-trisciuoglio/developer-kit) into .claude/skills/aws-cloudformation-rds in your project. Claude Code loads it when a task matches its description.

How do I install AWS Cloudformation Rds in Codex?

Run `npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-rds -a codex`. Or copy the skill folder (plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-rds in giuseppe-trisciuoglio/developer-kit) into .agents/skills/aws-cloudformation-rds in your project. Codex loads it when a task matches its description.

Can I use AWS Cloudformation Rds 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 giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-rds -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aws-cloudformation-rds, .gemini/skills/aws-cloudformation-rds, .github/skills/aws-cloudformation-rds and .opencode/skills/aws-cloudformation-rds in your project.

What does AWS Cloudformation Rds need to run?

Going by SKILL.md and its folder, AWS Cloudformation Rds needs the command-line tools its instructions call (aws). Its frontmatter pre-approves these tools: Read, Write, Bash.

Does AWS Cloudformation Rds 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 AWS Cloudformation Rds safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does AWS Cloudformation Rds use?

AWS Cloudformation Rds is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does AWS Cloudformation Rds use?

About 3k tokens (SKILL.md is roughly 12k 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 32k tokens, read only when the agent opens those files.

What are the alternatives to AWS Cloudformation Rds?

Skills that share tags, products or a category with AWS Cloudformation Rds: Rds Oss (aws/agent-toolkit-for-aws, 2.8k stars), Database Backups (sickn33/agentic-awesome-skills, 47k stars), GCP Cloud SQL (sickn33/agentic-awesome-skills, 47k stars) and Azure Resource Manager Mysql Dotnet (microsoft/skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AWS Cloudformation Rds?

giuseppe-trisciuoglio (a GitHub user) maintains it in giuseppe-trisciuoglio/developer-kit, which has 357 GitHub stars. The repository holds 115 skills in this directory. The repository was last updated on September 10, 2026.

Source: giuseppe-trisciuoglio/developer-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.