Provides AWS CloudFormation patterns for Amazon S3. Use when creating S3 buckets, policies, versioning, lifecycle rules, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references.
npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-s3
Provides S3 bucket configurations, policies, versioning, lifecycle rules, and CloudFormation template structure best practices for production-ready infrastructure.
S3 bucket configurations, policies, versioning, lifecycle rules, and CloudFormation template structure for production-ready infrastructure.
AWS::S3::Bucket with versioning, encryption, PublicAccessBlockValidate before deploy:
aws cloudformation validate-template --template-body file://template.yaml
Deploy with rollback on failure:
aws cloudformation deploy \
--template-file template.yaml \
--stack-name my-s3-stack \
--capabilities CAPABILITY_IAM
If deployment fails, CloudFormation automatically rolls back. Check failures with:
aws cloudformation describe-stack-events --stack-name my-s3-stack
| Resource Type | Purpose |
|---------------|---------|
| AWS::S3::Bucket | Create S3 bucket |
| AWS::S3::BucketPolicy | Set bucket-level policies |
| AWS::S3::BucketReplication | Cross-region replication |
| Parameters | Input values for customization |
| Mappings | Static configuration tables |
| Conditions | Conditional resource creation |
| Outputs | Return values for cross-stack references |
Resources:
DataBucket:
Type: AWS::S3::Bucket
Properties:
BucketName: my-data-bucket
DataBucket:
Type: AWS::S3::Bucket
Properties:
BucketName: !Sub "${AWS::StackName}-data"
VersioningConfiguration:
Status: Enabled
BucketEncryption:
ServerSideEncryptionConfiguration:
- ServerSideEncryptionByDefault:
SSEAlgorithm: AES256
PublicAccessBlockConfiguration:
BlockPublicAcls: true
BlockPublicPolicy: true
DataBucket:
Type: AWS::S3::Bucket
Properties:
LifecycleConfiguration:
Rules:
- Id: ArchiveOldData
Status: Enabled
Transitions:
- StorageClass: GLACIER
TransitionInDays: 365
BucketPolicy:
Type: AWS::S3::BucketPolicy
Properties:
Bucket: !Ref DataBucket
PolicyDocument:
Statement:
- Effect: Allow
Principal:
AWS: !Ref RoleArn
Action:
- s3:GetObject
Resource: !Sub "${DataBucket.Arn}/*"
See references/complete-examples.md for more complete examples including CORS, static websites, replication, and production-ready configurations.
AWSTemplateFormatVersion: 2010-09-09
Description: Template description
Mappings: {} # Static configuration tables
Metadata: {} # Additional information
Parameters: {} # Input values
Conditions: {} # Conditional creation
Transform: {} # Macro processing
Resources: {} # AWS resources (REQUIRED)
Outputs: {} # Return values
Parameters:
BucketName:
Type: String
Description: S3 bucket name
Default: my-bucket
MinLength: 3
MaxLength: 63
AllowedPattern: '^[a-z0-9-]+$'
Conditions:
IsProduction: !Equals [!Ref Environment, prod]
ShouldEnableVersioning: !Equals [!Ref EnableVersioning, 'true']
Resources:
DataBucket:
Type: AWS::S3::Bucket
Properties:
VersioningConfiguration:
Status: !If [ShouldEnableVersioning, Enabled, Suspended]
Outputs:
BucketName:
Description: Name of the S3 bucket
Value: !Ref DataBucket
Export:
Name: !Sub '${AWS::StackName}-BucketName'
See references/advanced-configuration.md for detailed Mappings, Conditions, Parameters, and cross-stack references.
Bucket already exists: Use unique bucket names with CloudFormation stack name
Access denied: Verify bucket policy and IAM permissions
Versioning conflicts: Cannot suspend versioning once objects exist
Lifecycle not working: Check rule status and prefix filters
Cross-stack references: Ensure outputs are exported before importing
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
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This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
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Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
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