aws-cloudformation-security
Provides AWS CloudFormation patterns for security infrastructure including KMS encryption, Secrets Manager, IAM security, VPC security, ACM certificates, parameter security, outputs, and secure cross-stack references. Use when implementing security best practices, encrypting data, managing secrets, applying least privilege IAM policies, securing VPC configurations, managing TLS/SSL certificates, and implementing defense in depth strategies.
What this skill does
# AWS CloudFormation Security Infrastructure
## Overview
Create production-ready security infrastructure using AWS CloudFormation templates. This skill covers KMS encryption, Secrets Manager, IAM security with least privilege, VPC security configurations, ACM certificates, parameter security, secure outputs, cross-stack references, CloudWatch Logs encryption, defense in depth strategies, and security best practices.
## When to Use
- Implementing KMS encryption at rest and in transit
- Managing secrets with Secrets Manager and automatic rotation
- Applying IAM least privilege policies and permission boundaries
- Securing VPC with security groups, NACLs, and VPC endpoints
- Managing TLS/SSL certificates with ACM
- Encrypting CloudWatch Logs and S3 buckets
- Creating secure cross-stack references and outputs
## Instructions
Follow these steps to create security infrastructure with CloudFormation:
### 1. Define KMS Encryption Keys
Create customer-managed keys for encryption:
```yaml
Resources:
EncryptionKey:
Type: AWS::KMS::Key
Properties:
Description: Customer-managed key for data encryption
KeyPolicy:
Statement:
- Effect: Allow
Principal:
Service: lambda.amazonaws.com
Action:
- kms:Decrypt
- kms:GenerateDataKey
Resource: "*"
- Effect: Allow
Principal:
AWS: !Sub "arn:aws:iam::${AWS::AccountId}:root"
Action:
- kms:*
Resource: "*"
KeyAlias:
Type: AWS::KMS::Alias
Properties:
AliasName: !Sub "${AWS::StackName}/encryption-key"
TargetKeyId: !Ref EncryptionKey
```
**Validate:** `aws kms get-key-policy --key-id <key-id> --output text`
### 2. Manage Secrets with Secrets Manager
Store and retrieve sensitive data securely:
```yaml
Resources:
DatabaseSecret:
Type: AWS::SecretsManager::Secret
Properties:
Name: !Sub "${AWS::StackName}/database"
Description: Database credentials
SecretString: !Sub |
{
"username": "admin",
"password": "${DatabasePassword}",
"engine": "mysql",
"host": "${DatabaseEndpoint}",
"port": 3306
}
KmsKeyId: !Ref EncryptionKey
SecretRotationSchedule:
Type: AWS::SecretsManager::RotationSchedule
Properties:
SecretId: !Ref DatabaseSecret
RotationLambdaARN: !Ref RotationLambda.Arn
RotationRules:
AutomaticallyAfterDays: 30
```
**Validate:** `aws secretsmanager describe-secret --secret-id <secret-name>`
### 3. Apply IAM Least Privilege
Create roles and policies with minimal required permissions:
```yaml
Resources:
ExecutionRole:
Type: AWS::IAM::Role
Properties:
AssumeRolePolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Principal:
Service: lambda.amazonaws.com
Action: sts:AssumeRole
ManagedPolicyArns:
- arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole
Policies:
- PolicyName: SpecificPermissions
PolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Action:
- s3:GetObject
Resource: !Sub "${DataBucket.Arn}/*"
```
**Validate:** `aws iam simulate-principal-policy --policy-source-arn <role-arn> --action-names s3:GetObject --resource-arns <bucket-arn>`
### 4. Secure VPC Configuration
Implement network security with security groups and NACLs:
```yaml
Resources:
ApplicationSecurityGroup:
Type: AWS::EC2::SecurityGroup
Properties:
GroupDescription: Application security group
VpcId: !Ref VPC
SecurityGroupIngress:
- IpProtocol: tcp
FromPort: 443
ToPort: 443
SourceSecurityGroupId: !Ref LoadBalancerSecurityGroup
SecurityGroupEgress:
- IpProtocol: -1
CidrIp: 0.0.0.0/0
ApplicationNACL:
Type: AWS::EC2::NetworkAcl
Properties:
VpcId: !Ref VPC
NACLEntry:
Type: AWS::EC2::NetworkAclEntry
Properties:
NetworkAclId: !Ref ApplicationNACL
RuleNumber: 100
Protocol: "6"
RuleAction: allow
Egress: false
CidrBlock: 0.0.0.0/0
PortRange:
From: 443
To: 443
```
**Validate:** `aws ec2 describe-security-groups --group-ids <sg-id> --query 'SecurityGroups[0].IpPermissions'`
### 5. Request ACM Certificates
Manage TLS/SSL certificates for secure communication:
```yaml
Resources:
Certificate:
Type: AWS::ACM::Certificate
Properties:
DomainName: !Ref DomainName
SubjectAlternativeNames:
- !Sub "www.${DomainName}"
- !Sub "api.${DomainName}"
DomainValidationOptions:
- DomainName: !Ref DomainName
ValidationDomain: !Ref DomainName
Tags:
- Key: Environment
Value: !Ref Environment
# DNS validation record
DnsValidationRecord:
Type: AWS::Route53::RecordSet
Properties:
HostedZoneName: !Ref HostedZone
Name: !Sub "_${DomainName}."
Type: CNAME
TTL: 300
ResourceRecords:
- !Ref Certificate
```
**Validate:** `aws acm describe-certificate --certificate-arn <arn> --query 'Certificate.Status'`
### 6. Implement Secure Parameters
Use SecureString for sensitive parameter values:
```yaml
Resources:
DatabasePasswordParameter:
Type: AWS::SSM::Parameter
Properties:
Name: !Sub "/${AWS::StackName}/database/password"
Type: SecureString
Value: !Ref DatabasePassword
Description: Database master password
KmsKeyId: !Ref EncryptionKey
# Reference in other resources
DatabaseInstance:
Type: AWS::RDS::DBInstance
Properties:
MasterUsername: admin
MasterUserPassword: !Ref DatabasePasswordParameter
```
**Validate:** `aws ssm get-parameter --name <param-name> --with-decryption --query 'Parameter.Type'`
### 7. Create Secure Outputs
Export only non-sensitive values from stacks:
```yaml
Outputs:
# Safe to export
KMSKeyArn:
Description: KMS Key ARN for encryption
Value: !GetAtt EncryptionKey.Arn
Export:
Name: !Sub "${AWS::StackName}-KMSKeyArn"
SecretArn:
Description: Secret ARN (not the secret value)
Value: !Ref DatabaseSecret
Export:
Name: !Sub "${AWS::StackName}-SecretArn"
# DO NOT export sensitive data
# Incorrect:
# SecretValue:
# Value: !GetAtt DatabaseSecret.SecretString
```
**Validate:** `aws cloudformation list-exports --query "Exports[?Name=='<stack-name>-KMSKeyArn']"`
### 8. Encrypt CloudWatch Logs
Enable encryption for log groups:
```yaml
Resources:
EncryptedLogGroup:
Type: AWS::Logs::LogGroup
Properties:
LogGroupName: !Sub "/aws/applications/${ApplicationName}"
RetentionInDays: 30
KmsKeyId: !Ref EncryptionKey
```
**Validate:** `aws logs describe-log-groups --log-group-name-prefix <prefix> --query 'logGroups[0].kmsKeyId'`
## Best Practices
- **KMS**: Use separate keys per data classification; enable annual key rotation; use customer-managed keys for compliance
- **Secrets**: Rotate automatically (30 days for databases); never store secrets in plain text; use IAM policies for access control
- **IAM**: Apply least privilege; use roles not access keys; enable MFA; implement permission boundaries
- **Network**: Prefer security groups over NACLs; use VPC endpoints; restrict by specific CIDR ranges
- **Certificates**: Use ACM for automatic renewal; DNS validation is faster than email
- **Encryption**: Encrypt at rest and in transit; TLS 1.2+ required; use SSE-KMS for S3
## Examples
### Complete KMS and Secrets Stack
```yaml
Resources:
# KMS Key with proper policy
AppKey:
Type: AWS::KMS::Key
Properties:
KeyPolicy:
Statement:
- Effect: Allow
Principal:
AWS: !Sub "arn:aws:iam::${AWS::AccountId}Related in Cloud & DevOps
appbuilder-action-scaffolder
IncludedCreate, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.
orchestrating-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. Use this skill when the user needs a multi-step Data Cloud pipeline, cross-phase troubleshooting, or data space and data kit management. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase sf data360 workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching phase-specific skill), the task is STDM/session tracing/parquet telemetry (use observing-agentforce), standard CRM SOQL (use querying-soql), or Apex implementation (use generating-apex).
github-project-automation
IncludedAutomate GitHub repository setup with CI/CD workflows, issue templates, Dependabot, and CodeQL security scanning. Includes 12 production-tested workflows and prevents 18 errors: YAML syntax, action pinning, and configuration. Use when: setting up GitHub Actions CI/CD, creating issue/PR templates, enabling Dependabot or CodeQL scanning, deploying to Cloudflare Workers, implementing matrix testing, or troubleshooting YAML indentation, action version pinning, secrets syntax, runner versions, or CodeQL configuration. Keywords: github actions, github workflow, ci/cd, issue templates, pull request templates, dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error
sf-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
fabric-cli
IncludedUse this skill for Fabric.so CLI workflows with the `fabric` terminal command: diagnose/install/login, search or browse a Fabric library, save notes/links/files, create folders, ask the Fabric AI assistant, manage tasks/workspaces, generate shell completion, check subscription usage, produce JSON output, and use Fabric as persistent agent memory. Do not use for Microsoft Fabric/Azure/Power BI `fab`, Daniel Miessler's Fabric framework, Python Fabric SSH, Fabric.js, or textile/fashion fabric.
lark
IncludedLark/Feishu CLI skills: lark-cli operations for docs, markdown, sheets, base, calendar, im, mail, task, okr, drive, wiki, slides, whiteboard, apps, approval, attendance, contact, vc, minutes, event. Use when the user needs to operate Lark/Feishu resources via lark-cli, send messages, manage documents, spreadsheets, calendars, tasks, OKRs, deploy web pages, or any Feishu/Lark workspace operations.