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Cloudformation

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BagelHole
cloudformation

Deploy AWS resources with CloudFormation templates. Create stacks, use nested stacks, and implement drift detection. Use when deploying AWS-native IaC.

Overview

PublisherBagelHole
RepositoryDevOps-Security-Agent-Skills
Skill namecloudformation
Stars
1.1K
Forks
161
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by BagelHole on GitHub. Read the source before you install it.

Installation

Install the Cloudformation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/cloud-aws/cloudformation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/BagelHole/DevOps-Security-Agent-Skills.git /tmp/DevOps-Security-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/DevOps-Security-Agent-Skills/infrastructure/cloud-aws/cloudformation .claude/skills/cloudformation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloudformation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cloudformation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cloudformation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CloudFormation

Deploy AWS infrastructure with native CloudFormation templates, change sets, nested stacks, and drift detection.

When to Use This Skill

  • Deploying AWS resources using AWS-native Infrastructure as Code
  • Creating repeatable, parameterized infrastructure templates
  • Managing multi-environment deployments (dev, staging, prod) with the same template
  • Implementing safe deployments with change sets and rollback protection
  • Detecting and remediating configuration drift
  • Organizing large infrastructure into nested stacks
  • Exporting/importing values between stacks

Prerequisites

  • AWS CLI v2 installed and configured
  • IAM permissions: cloudformation:*, plus permissions for all resources in the template
  • (Optional) cfn-lint installed for template validation (pip install cfn-lint)
  • S3 bucket for storing templates larger than 51,200 bytes

Template Structure

yaml
AWSTemplateFormatVersion: '2010-09-09'
Description: Production web application infrastructure

Metadata:
  AWS::CloudFormation::Interface:
    ParameterGroups:
      - Label: { default: "Environment" }
        Parameters: [Environment, InstanceType]
      - Label: { default: "Network" }
        Parameters: [VpcId, SubnetIds]

Parameters:
  Environment:
    Type: String
    AllowedValues: [dev, staging, prod]
    Default: dev

  InstanceType:
    Type: String
    Default: t3.micro
    AllowedValues: [t3.micro, t3.small, t3.medium, t3.large]

  VpcId:
    Type: AWS::EC2::VPC::Id
    Description: VPC to deploy into

  SubnetIds:
    Type: List<AWS::EC2::Subnet::Id>
    Description: Subnets for the application

Conditions:
  IsProd: !Equals [!Ref Environment, prod]
  CreateReadReplica: !Equals [!Ref Environment, prod]

Mappings:
  RegionAMI:
    us-east-1:
      AL2023: ami-0abcdef1234567890
    us-west-2:
      AL2023: ami-0fedcba9876543210

Resources:
  SecurityGroup:
    Type: AWS::EC2::SecurityGroup
    Properties:
      GroupDescription: !Sub '${Environment}-web-sg'
      VpcId: !Ref VpcId
      SecurityGroupIngress:
        - IpProtocol: tcp
          FromPort: 443
          ToPort: 443
          CidrIp: 0.0.0.0/0
      Tags:
        - Key: Name
          Value: !Sub '${Environment}-web-sg'

  LaunchTemplate:
    Type: AWS::EC2::LaunchTemplate
    Properties:
      LaunchTemplateName: !Sub '${Environment}-web'
      LaunchTemplateData:
        ImageId: !FindInMap [RegionAMI, !Ref 'AWS::Region', AL2023]
        InstanceType: !If [IsProd, t3.large, !Ref InstanceType]
        MetadataOptions:
          HttpTokens: required
        SecurityGroupIds:
          - !Ref SecurityGroup

  AutoScalingGroup:
    Type: AWS::AutoScaling::AutoScalingGroup
    Properties:
      AutoScalingGroupName: !Sub '${Environment}-web-asg'
      LaunchTemplate:
        LaunchTemplateId: !Ref LaunchTemplate
        Version: !GetAtt LaunchTemplate.LatestVersionNumber
      MinSize: !If [IsProd, 2, 1]
      MaxSize: !If [IsProd, 10, 3]
      DesiredCapacity: !If [IsProd, 4, 1]
      VPCZoneIdentifier: !Ref SubnetIds
      TargetGroupARNs:
        - !Ref TargetGroup
      HealthCheckType: ELB
      HealthCheckGracePeriod: 300
      Tags:
        - Key: Name
          Value: !Sub '${Environment}-web'
          PropagateAtLaunch: true
    UpdatePolicy:
      AutoScalingRollingUpdate:
        MinInstancesInService: !If [IsProd, 2, 0]
        MaxBatchSize: 1
        PauseTime: PT5M
        WaitOnResourceSignals: true
        SuspendProcesses:
          - HealthCheck
          - ReplaceUnhealthy
          - AZRebalance
          - AlarmNotification
          - ScheduledActions

  TargetGroup:
    Type: AWS::ElasticLoadBalancingV2::TargetGroup
    Properties:
      Name: !Sub '${Environment}-web-tg'
      Port: 8080
      Protocol: HTTP
      VpcId: !Ref VpcId
      TargetType: instance
      HealthCheckPath: /health
      HealthCheckIntervalSeconds: 30
      HealthyThresholdCount: 2
      UnhealthyThresholdCount: 3

Outputs:
  SecurityGroupId:
    Description: Web security group ID
    Value: !Ref SecurityGroup
    Export:
      Name: !Sub '${Environment}-WebSecurityGroup'

  AutoScalingGroupName:
    Description: ASG name
    Value: !Ref AutoScalingGroup
    Export:
      Name: !Sub '${Environment}-WebASG'

Stack Operations

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

# Lint with cfn-lint (catches more issues)
cfn-lint template.yaml

# Create a stack
aws cloudformation create-stack \
  --stack-name production-web \
  --template-body file://template.yaml \
  --parameters \
    ParameterKey=Environment,ParameterValue=prod \
    ParameterKey=VpcId,ParameterValue=vpc-abc123 \
    ParameterKey=SubnetIds,ParameterValue="subnet-aaa\\,subnet-bbb" \
  --capabilities CAPABILITY_IAM CAPABILITY_NAMED_IAM \
  --tags Key=Environment,Value=production Key=Team,Value=platform \
  --enable-termination-protection \
  --on-failure ROLLBACK

# Wait for stack creation
aws cloudformation wait stack-create-complete --stack-name production-web

# Describe stack status and outputs
aws cloudformation describe-stacks \
  --stack-name production-web \
  --query "Stacks[0].{Status:StackStatus,Outputs:Outputs}" \
  --output table

# List stack resources
aws cloudformation list-stack-resources --stack-name production-web \
  --query "StackResourceSummaries[].{Logical:LogicalResourceId,Physical:PhysicalResourceId,Type:ResourceType,Status:ResourceStatus}" \
  --output table

# Delete a stack
aws cloudformation delete-stack --stack-name dev-web
aws cloudformation wait stack-delete-complete --stack-name dev-web

Change Sets (Safe Updates)

bash
# Create a change set to preview changes before applying
aws cloudformation create-change-set \
  --stack-name production-web \
  --change-set-name update-instance-type \
  --template-body file://template.yaml \
  --parameters \
    ParameterKey=Environment,ParameterValue=prod \
    ParameterKey=InstanceType,ParameterValue=t3.large \
    ParameterKey=VpcId,UsePreviousValue=true \
    ParameterKey=SubnetIds,UsePreviousValue=true \
  --capabilities CAPABILITY_IAM

# Describe the change set to review planned changes
aws cloudformation describe-change-set \
  --stack-name production-web \
  --change-set-name update-instance-type \
  --query "Changes[].{Action:ResourceChange.Action,Resource:ResourceChange.LogicalResourceId,Type:ResourceChange.ResourceType,Replacement:ResourceChange.Replacement}" \
  --output table

# Execute the change set (apply changes)
aws cloudformation execute-change-set \
  --stack-name production-web \
  --change-set-name update-instance-type

# Wait for update
aws cloudformation wait stack-update-complete --stack-name production-web

# Delete a change set without applying
aws cloudformation delete-change-set \
  --stack-name production-web \
  --change-set-name update-instance-type

Drift Detection

bash
# Start drift detection
DRIFT_ID=$(aws cloudformation detect-stack-drift \
  --stack-name production-web \
  --query 'StackDriftDetectionId' --output text)

# Check drift detection status
aws cloudformation describe-stack-drift-detection-status \
  --stack-drift-detection-id $DRIFT_ID

# View drifted resources
aws cloudformation describe-stack-resource-drifts \
  --stack-name production-web \
  --stack-resource-drift-status-filters MODIFIED DELETED \
  --query "StackResourceDrifts[].{Resource:LogicalResourceId,Status:StackResourceDriftStatus,Differences:PropertyDifferences}" \
  --output table

# Detect drift on a specific resource
aws cloudformation detect-stack-resource-drift \
  --stack-name production-web \
  --logical-resource-id SecurityGroup

Nested Stacks

Parent template:

yaml
AWSTemplateFormatVersion: '2010-09-09'
Description: Parent stack - full application

Parameters:
  Environment:
    Type: String
    AllowedValues: [dev, staging, prod]

Resources:
  NetworkStack:
    Type: AWS::CloudFormation::Stack
    Properties:
      TemplateURL: https://s3.amazonaws.com/my-cfn-templates/network.yaml
      Parameters:
        Environment: !Ref Environment
        VpcCidr: "10.0.0.0/16"
      Tags:
        - Key: Environment
          Value: !Ref Environment

  DatabaseStack:
    Type: AWS::CloudFormation::Stack
    DependsOn: NetworkStack
    Properties:
      TemplateURL: https://s3.amazonaws.com/my-cfn-templates/database.yaml
      Parameters:
        Environment: !Ref Environment
        VpcId: !GetAtt NetworkStack.Outputs.VpcId
        SubnetIds: !GetAtt NetworkStack.Outputs.PrivateSubnetIds

  AppStack:
    Type: AWS::CloudFormation::Stack
    DependsOn: [NetworkStack, DatabaseStack]
    Properties:
      TemplateURL: https://s3.amazonaws.com/my-cfn-templates/app.yaml
      Parameters:
        Environment: !Ref Environment
        VpcId: !GetAtt NetworkStack.Outputs.VpcId
        SubnetIds: !GetAtt NetworkStack.Outputs.PrivateSubnetIds
        DbEndpoint: !GetAtt DatabaseStack.Outputs.Endpoint

Outputs:
  VpcId:
    Value: !GetAtt NetworkStack.Outputs.VpcId
  AppUrl:
    Value: !GetAtt AppStack.Outputs.LoadBalancerDNS
bash
# Package nested templates (uploads local references to S3)
aws cloudformation package \
  --template-file parent.yaml \
  --s3-bucket my-cfn-templates \
  --output-template-file packaged.yaml

# Deploy the packaged template
aws cloudformation deploy \
  --template-file packaged.yaml \
  --stack-name production-app \
  --parameter-overrides Environment=prod \
  --capabilities CAPABILITY_IAM CAPABILITY_AUTO_EXPAND \
  --tags Environment=production

Intrinsic Functions Reference

yaml
# Ref - reference a parameter or resource
SecurityGroupId: !Ref SecurityGroup

# GetAtt - get an attribute of a resource
SecurityGroupArn: !GetAtt SecurityGroup.GroupId

# Sub - string substitution
BucketName: !Sub '${Environment}-${AWS::AccountId}-data'

# Join - concatenate strings
PolicyArn: !Join ['', ['arn:aws:iam::', !Ref 'AWS::AccountId', ':policy/MyPolicy']]

# Select - pick from a list
FirstSubnet: !Select [0, !Ref SubnetIds]

# Split - split a string
FirstPart: !Select [0, !Split ['-', !Ref 'AWS::StackName']]

# If - conditional value
InstanceSize: !If [IsProd, t3.large, t3.micro]

# Equals - condition definition
Conditions:
  IsProd: !Equals [!Ref Environment, prod]

# ImportValue - cross-stack reference
VpcId: !ImportValue production-VpcId

# Cidr - generate CIDR blocks
Subnets: !Cidr [!GetAtt VPC.CidrBlock, 6, 8]

# GetAZs - list availability zones
AZ: !Select [0, !GetAZs '']

Stack Policy (Prevent Accidental Replacements)

bash
# Apply a stack policy that prevents replacement of the database
aws cloudformation set-stack-policy \
  --stack-name production-web \
  --stack-policy-body '{
    "Statement": [
      {
        "Effect": "Allow",
        "Action": "Update:*",
        "Principal": "*",
        "Resource": "*"
      },
      {
        "Effect": "Deny",
        "Action": "Update:Replace",
        "Principal": "*",
        "Resource": "LogicalResourceId/Database"
      },
      {
        "Effect": "Deny",
        "Action": "Update:Delete",
        "Principal": "*",
        "Resource": "LogicalResourceId/Database"
      }
    ]
  }'

Stack Events and Debugging

bash
# View stack events (most recent first)
aws cloudformation describe-stack-events \
  --stack-name production-web \
  --query "StackEvents[?ResourceStatus=='CREATE_FAILED' || ResourceStatus=='UPDATE_FAILED'].{Time:Timestamp,Resource:LogicalResourceId,Status:ResourceStatus,Reason:ResourceStatusReason}" \
  --output table

# Continue a rollback that is stuck
aws cloudformation continue-update-rollback \
  --stack-name production-web \
  --resources-to-skip SecurityGroup

# Cancel an in-progress update
aws cloudformation cancel-update-stack --stack-name production-web

# Get template from an existing stack
aws cloudformation get-template \
  --stack-name production-web \
  --template-stage Processed \
  --query TemplateBody \
  --output text > current-template.yaml

Troubleshooting

ProblemCauseFix
CREATE_FAILED on IAM resourceMissing CAPABILITY_IAMAdd --capabilities CAPABILITY_IAM CAPABILITY_NAMED_IAM
Stack stuck in UPDATE_ROLLBACK_FAILEDResource cannot be rolled backUse continue-update-rollback with --resources-to-skip
Nested stack failsTemplate URL wrong or S3 access deniedUse aws cloudformation package to upload; check bucket policy
Circular dependency errorTwo resources reference each otherBreak the cycle with a third resource or use DependsOn
Drift detectedManual changes made outside CloudFormationRe-apply the template or update template to match current state
Change set shows no changesTemplate and parameters identicalVerify the diff; check if the change is parameter-only
Template validation errorYAML syntax or invalid resource propertyRun cfn-lint; check property names against docs
Export name already existsAnother stack uses the same export nameUse unique export names with !Sub '${AWS::StackName}-Name'
Delete fails - resource in useDependent resource outside the stackRemove the dependency first; check for SG references

Related Skills

  • terraform-aws - Alternative IaC with Terraform
  • aws-iam - IAM resources in templates
  • aws-vpc - Network infrastructure templates
  • aws-ec2 - Compute resources in templates
  • aws-s3 - Storage resources in templates

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cloudformation AI skill do?

Deploy AWS resources with CloudFormation templates. Create stacks, use nested stacks, and implement drift detection. Use when deploying AWS-native IaC.

Why use Cloudformation on TypingMind?

Because you install it once and use it with any model. Cloudformation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cloudformation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/infrastructure/cloud-aws/cloudformation. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cloudformation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cloudformation?

As many as you like. As long as a model supports skills, you can use Cloudformation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cloudformation AI skill free?

Yes. It is published on GitHub by BagelHole under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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