Provides AWS CDK TypeScript patterns for defining, validating, and deploying AWS infrastructure as code. Use when creating CDK apps, stacks, and reusable constructs, modeling serverless or VPC-based architectures, applying IAM and encryption defaults, or testing and reviewing `cdk synth`, `cdk diff`, and `cdk deploy` changes. Triggers include "aws cdk typescript", "create cdk app", "cdk stack", "cdk construct", "cdk deploy", and "cdk test".
npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill aws-cdk
Use this skill to build AWS infrastructure in TypeScript with reusable constructs, safe defaults, and a validation-first delivery loop.
Use this skill when:
cdk synth, tests, cdk diff, and cdk deploy# Create a new CDK app
npx cdk init app --language typescript
# Project structure
my-cdk-app/
├── bin/
│ └── my-cdk-app.ts # App entry point (instantiates stacks)
├── lib/
│ └── my-cdk-app-stack.ts # Stack definition
├── test/
│ └── my-cdk-app.test.ts # Tests
├── cdk.json # CDK configuration
├── tsconfig.json
└── package.json
import { App, Stack, StackProps, CfnOutput, RemovalPolicy } from 'aws-cdk-lib';
import { Construct } from 'constructs';
import * as s3 from 'aws-cdk-lib/aws-s3';
// Define a reusable stack
class StorageStack extends Stack {
public readonly bucketArn: string;
constructor(scope: Construct, id: string, props?: StackProps) {
super(scope, id, props);
const bucket = new s3.Bucket(this, 'DataBucket', {
versioned: true,
encryption: s3.BucketEncryption.S3_MANAGED,
removalPolicy: RemovalPolicy.RETAIN,
blockPublicAccess: s3.BlockPublicAccess.BLOCK_ALL,
});
this.bucketArn = bucket.bucketArn;
new CfnOutput(this, 'BucketName', { value: bucket.bucketName });
}
}
// App entry point
const app = new App();
new StorageStack(app, 'DevStorage', {
env: { account: process.env.CDK_DEFAULT_ACCOUNT, region: 'us-east-1' },
tags: { Environment: 'dev' },
});
new StorageStack(app, 'ProdStorage', {
env: { account: '123456789012', region: 'eu-west-1' },
tags: { Environment: 'prod' },
terminationProtection: true,
});
app.synth();
| Level | Description | Use When |
|-------|-------------|----------|
| L1 (Cfn*) | Direct CloudFormation mapping, full control | Need properties not exposed by L2 |
| L2 | Curated with sensible defaults and helper methods | Standard resource provisioning (recommended) |
| L3 (Patterns) | Multi-resource architectures | Common patterns like LambdaRestApi |
// L1 — Raw CloudFormation
new s3.CfnBucket(this, 'L1Bucket', { bucketName: 'my-l1-bucket' });
// L2 — Sensible defaults + grant helpers
const bucket = new s3.Bucket(this, 'L2Bucket', { versioned: true });
bucket.grantRead(myLambda);
// L3 — Multi-resource pattern
new apigateway.LambdaRestApi(this, 'Api', { handler: myLambda });
cdk synth # Synthesize CloudFormation template
cdk diff # Compare deployed vs local changes
cdk deploy # Deploy stack(s) to AWS
cdk deploy --all # Deploy all stacks
cdk destroy # Tear down stack(s)
cdk ls # List all stacks in the app
cdk doctor # Check environment setup
cdk synthcdk synth.cdk diffRemovalPolicy, then rerun cdk diff.cdk deployCREATE_COMPLETE or UPDATE_COMPLETE.cdk deploy.// Stack A exports a value
class NetworkStack extends Stack {
public readonly vpc: ec2.Vpc;
constructor(scope: Construct, id: string, props?: StackProps) {
super(scope, id, props);
this.vpc = new ec2.Vpc(this, 'Vpc', { maxAzs: 2 });
}
}
// Stack B imports it via props
interface AppStackProps extends StackProps {
vpc: ec2.Vpc;
}
class AppStack extends Stack {
constructor(scope: Construct, id: string, props: AppStackProps) {
super(scope, id, props);
new lambda.Function(this, 'Fn', {
runtime: lambda.Runtime.NODEJS_20_X,
handler: 'index.handler',
code: lambda.Code.fromAsset('lambda'),
vpc: props.vpc,
});
}
}
// Wire them together
const network = new NetworkStack(app, 'Network');
new AppStack(app, 'App', { vpc: network.vpc });
import * as cdk from 'aws-cdk-lib';
import * as lambda from 'aws-cdk-lib/aws-lambda';
import * as apigateway from 'aws-cdk-lib/aws-apigateway';
import * as dynamodb from 'aws-cdk-lib/aws-dynamodb';
class ServerlessApiStack extends cdk.Stack {
constructor(scope: Construct, id: string, props?: cdk.StackProps) {
super(scope, id, props);
const table = new dynamodb.Table(this, 'Items', {
partitionKey: { name: 'id', type: dynamodb.AttributeType.STRING },
billingMode: dynamodb.BillingMode.PAY_PER_REQUEST,
removalPolicy: cdk.RemovalPolicy.DESTROY,
});
const fn = new lambda.Function(this, 'Handler', {
runtime: lambda.Runtime.NODEJS_20_X,
handler: 'index.handler',
code: lambda.Code.fromAsset('lambda'),
environment: { TABLE_NAME: table.tableName },
});
table.grantReadWriteData(fn);
new apigateway.LambdaRestApi(this, 'Api', { handler: fn });
}
}
import { Template } from 'aws-cdk-lib/assertions';
import { App } from 'aws-cdk-lib';
import { ServerlessApiStack } from '../lib/serverless-api-stack';
test('creates DynamoDB table with PAY_PER_REQUEST', () => {
const app = new App();
const stack = new ServerlessApiStack(app, 'TestStack');
const template = Template.fromStack(stack);
template.hasResourceProperties('AWS::DynamoDB::Table', {
BillingMode: 'PAY_PER_REQUEST',
});
template.resourceCountIs('AWS::Lambda::Function', 1);
});
Cfn* only when you need unsupported properties.env with account and region; avoid implicit production targets..grant*() over handwritten IAM where possible.RemovalPolicy — RETAIN for production data, DESTROY only for disposable environments.cdk synth only generates templates; cdk deploy applies changesremovalPolicy: RETAIN in productioncdk bootstrap once per account/region before first deployDetailed implementation guides are available in the references/ directory:
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-cdk 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.
The instructions reference npx.
Without those the skill loads but fails at the first command.