Provides AWS CloudFormation patterns for Lambda functions, layers, API Gateway integration, event sources, cold start optimization, monitoring, logging, template validation, and deployment workflows. Use when creating Lambda functions with CloudFormation, configuring event sources, implementing cold start optimization, managing layers, integrating with API Gateway, and deploying Lambda infrastructure.
npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-lambda
Create production-ready Lambda functions using CloudFormation templates with validation and deployment workflows.
Always follow this deployment workflow:
aws cloudformation validate-template --template-body file://template.yaml
aws cloudformation deploy \
--template-file template.yaml \
--stack-name my-lambda-stack \
--capabilities CAPABILITY_IAM \
--parameter-overrides Environment=prod
aws cloudformation describe-stack-events \
--stack-name my-lambda-stack \
--query 'StackEvents[?ResourceStatus==`CREATE_FAILED`||ResourceStatus==`UPDATE_FAILED`]'
aws lambda get-function --function-name my-lambda-stack-function
aws cloudformation describe-stacks --stack-name my-lambda-stack \
--query 'Stacks[0].StackStatus'
aws cloudformation delete-stack --stack-name my-lambda-stack
aws logs describe-log-groups --log-group-name-prefix "/aws/lambda/my-lambda"
Follow these steps to create Lambda functions with CloudFormation:
Specify runtime, memory, timeout, and environment variables:
Parameters:
FunctionMemory:
Type: Number
Default: 256
AllowedValues:
- 128
- 256
- 512
- 1024
- 2048
Description: Lambda function memory in MB
FunctionTimeout:
Type: Number
Default: 30
MinValue: 1
MaxValue: 900
Description: Function timeout in seconds
Runtime:
Type: String
Default: nodejs20.x
AllowedValues:
- nodejs20.x
- python3.11
- java21
- dotnet8
- go1.x
Description: Lambda runtime environment
Define the basic function configuration:
Resources:
LambdaFunction:
Type: AWS::Lambda::Function
Properties:
FunctionName: !Sub "${AWS::StackName}-function"
Runtime: !Ref Runtime
Handler: index.handler
Role: !Ref ExecutionRole
MemorySize: !Ref FunctionMemory
Timeout: !Ref FunctionTimeout
Code:
S3Bucket: !Ref CodeBucket
S3Key: !Ref CodeKey
Environment:
Variables:
LOG_LEVEL: INFO
DATABASE_URL: !Ref DatabaseUrl
Tags:
- Key: Environment
Value: !Ref Environment
Apply least privilege IAM policies:
Resources:
ExecutionRole:
Type: AWS::IAM::Role
Properties:
AssumeRolePolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Principal:
Service: lambda.amazonaws.com
Action: sts:AssumeRole
ManagedPolicyArns:
- arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole
Policies:
- PolicyName: S3ReadAccess
PolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Action:
- s3:GetObject
Resource: !Sub "${DataBucket.Arn}/*"
Configure triggers for Lambda invocation:
Resources:
# S3 event source
S3EventSource:
Type: AWS::Lambda::EventSourceMapping
Properties:
EventSourceArn: !GetAtt DataBucket.Arn
FunctionName: !Ref LambdaFunction
# SQS event source
SQSEventSource:
Type: AWS::Lambda::EventSourceMapping
Properties:
EventSourceArn: !GetAtt Queue.Arn
FunctionName: !Ref LambdaFunction
BatchSize: 10
MaximumBatchingWindowInSeconds: 5
Set up REST or HTTP API integration:
Resources:
# HTTP API integration
HttpApi:
Type: AWS::ApiGatewayV2::Api
Properties:
Name: !Sub "${AWS::StackName}-api"
ProtocolType: HTTP
Target: !Ref LambdaFunction
ApiIntegration:
Type: AWS::ApiGatewayV2::Integration
Properties:
ApiId: !Ref HttpApi
IntegrationType: AWS_PROXY
IntegrationUri: !Sub "arn:aws:apigateway:${AWS::Region}:lambda:path/2015-03-31/functions/${LambdaFunction.Arn}/invocations"
Create function versions and aliases:
Resources:
LambdaVersion:
Type: AWS::Lambda::Version
Properties:
FunctionName: !Ref LambdaFunction
Description: !Sub "Version ${AWS::StackName} v1"
LambdaAlias:
Type: AWS::Lambda::Alias
Properties:
FunctionName: !Ref LambdaFunction
FunctionVersion: !GetAtt LambdaVersion.Version
Name: live
Enable CloudWatch logging and X-Ray tracing:
Resources:
LambdaFunction:
Type: AWS::Lambda::Function
Properties:
LoggingConfig:
LogGroup: !Ref LogGroup
TracingConfig:
Mode: Active
LogGroup:
Type: AWS::Logs::LogGroup
Properties:
LogGroupName: !Sub "/aws/lambda/${LambdaFunction}"
RetentionInDays: 7
Configure DLQ for failed invocations:
Resources:
DeadLetterQueue:
Type: AWS::SQS::Queue
Properties:
QueueName: !Sub "${AWS::StackName}-dlq"
LambdaFunction:
Type: AWS::Lambda::Function
Properties:
DeadLetterConfig:
TargetArn: !GetAtt DeadLetterQueue.Arn
AWSTemplateFormatVersion: '2010-09-09'
Description: Lambda function with monitoring and DLQ
Parameters:
FunctionMemory:
Type: Number
Default: 256
AllowedValues: [128, 256, 512, 1024]
FunctionTimeout:
Type: Number
Default: 30
Resources:
ExecutionRole:
Type: AWS::IAM::Role
Properties:
AssumeRolePolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: Allow
Principal: { Service: lambda.amazonaws.com }
Action: sts:AssumeRole
ManagedPolicyArns:
- arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole
LambdaFunction:
Type: AWS::Lambda::Function
Properties:
FunctionName: !Sub "${AWS::StackName}-function"
Runtime: nodejs20.x
Handler: index.handler
Role: !GetAtt ExecutionRole.Arn
MemorySize: !Ref FunctionMemory
Timeout: !Ref FunctionTimeout
Code:
S3Bucket: !Ref CodeBucket
S3Key: !Ref CodeKey
Environment:
Variables:
LOG_LEVEL: INFO
LambdaVersion:
Type: AWS::Lambda::Version
Properties:
FunctionName: !Ref LambdaFunction
LambdaAlias:
Type: AWS::Lambda::Alias
Properties:
FunctionName: !Ref LambdaFunction
FunctionVersion: !GetAtt LambdaVersion.Version
Name: live
Outputs:
FunctionArn:
Value: !GetAtt LambdaFunction.Arn
FunctionName:
Value: !Ref LambdaFunction
* in Resource policies; always scope to specific resourcesFor detailed implementation guidance, see:
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.
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
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.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
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.
Take giuseppe-trisciuoglio/aws-cloudformation-lambda from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.