
aws-cdk-development
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.
- Installs
- 1.2K
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/zxkane/aws-skills --skill aws-cdk-development- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads aws-cdk-development automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
AWS CDK Development
This skill provides comprehensive guidance for developing AWS infrastructure using the Cloud Development Kit (CDK), with integrated MCP servers for accessing latest AWS knowledge and CDK utilities.
AWS Documentation Requirement
Always verify AWS facts using MCP tools (mcp__aws-mcp__* or mcp__*awsdocs*__*) before answering. The aws-mcp-setup dependency is auto-loaded — if MCP tools are unavailable, guide the user through that skill's setup flow.
CDK-Specific MCP Guidance
AWS Labs replaced the dedicated CDK MCP server (awslabs.cdk-mcp-server) with the broader awslabs.aws-iac-mcp-server, which covers CDK alongside CloudFormation and other AWS infrastructure-as-code workflows.
For CDK construct lookups, best-practice recommendations, and pattern guidance, install awslabs.aws-iac-mcp-server. It ships in the deploy-on-aws plugin from awslabs/agent-plugins, or can be registered directly with claude mcp add aws-iac uvx awslabs.aws-iac-mcp-server@latest.
When to reach for it:
- CDK construct recommendations and API lookups
- CDK and CloudFormation best-practice patterns
- Validation of synthesized templates
- Cross-resource configuration guidance
When to Use This Skill
Use this skill when:
- Creating new CDK stacks or constructs
- Refactoring existing CDK infrastructure
- Implementing Lambda functions within CDK
- Following AWS CDK best practices
- Validating CDK stack configurations before deployment
- Verifying AWS service capabilities and regional availability
Core CDK Principles
Resource Naming
CRITICAL: Do NOT explicitly specify resource names when they are optional in CDK constructs.
Why: CDK-generated names enable:
- Reusable patterns: Deploy the same construct/pattern multiple times without conflicts
- Parallel deployments: Multiple stacks can deploy simultaneously in the same region
- Cleaner shared logic: Patterns and shared code can be initialized multiple times without name collision
- Stack isolation: Each stack gets uniquely identified resources automatically
Pattern: Let CDK generate unique names automatically using CloudFormation's naming mechanism.
// ❌ BAD - Explicit naming prevents reusability and parallel deployments
new lambda.Function(this, 'MyFunction', {
functionName: 'my-lambda', // Avoid this
// ...
});
// ✅ GOOD - Let CDK generate unique names
new lambda.Function(this, 'MyFunction', {
// No functionName specified - CDK generates: StackName-MyFunctionXXXXXX
// ...
});
Security Note: For different environments (dev, staging, prod), follow AWS Security Pillar best practices by using separate AWS accounts rather than relying on resource naming within a single account. Account-level isolation provides stronger security boundaries.
Lambda Function Development
Use the appropriate Lambda construct based on runtime:
TypeScript/JavaScript: Use @aws-cdk/aws-lambda-nodejs
import { NodejsFunction } from 'aws-cdk-lib/aws-lambda-nodejs';
new NodejsFunction(this, 'MyFunction', {
entry: 'lambda/handler.ts',
handler: 'handler',
// Automatically handles bundling, dependencies, and transpilation
});
Python: Use @aws-cdk/aws-lambda-python
import { PythonFunction } from '@aws-cdk/aws-lambda-python-alpha';
new PythonFunction(this, 'MyFunction', {
entry: 'lambda',
index: 'handler.py',
handler: 'handler',
// Automatically handles dependencies and packaging
});
Benefits:
- Automatic bundling and dependency management
- Transpilation handled automatically
- No manual packaging required
- Consistent deployment patterns
Pre-Deployment Validation
Use a multi-layer validation strategy for comprehensive CDK quality checks:
Layer 1: Real-Time IDE Feedback (Recommended)
For TypeScript/JavaScript projects:
Install cdk-nag for synthesis-time validation:
npm install --save-dev cdk-nag
Add to your CDK app:
import { Aspects } from 'aws-cdk-lib';
import { AwsSolutionsChecks } from 'cdk-nag';
const app = new App();
Aspects.of(app).add(new AwsSolutionsChecks());
Optional - VS Code users: Install CDK NAG Validator extension for faster feedback on file save.
For Python/Java/C#/Go projects: cdk-nag is available in all CDK languages and provides the same synthesis-time validation.
Layer 2: Synthesis-Time Validation (Required)
-
Synthesis with cdk-nag: Validate stack with comprehensive rules
cdk synth # cdk-nag runs automatically via Aspects -
Suppress legitimate exceptions with documented reasons:
import { NagSuppressions } from 'cdk-nag'; // Document WHY the exception is needed NagSuppressions.addResourceSuppressions(resource, [ { id: 'AwsSolutions-L1', reason: 'Lambda@Edge requires specific runtime for CloudFront compatibility' } ]);
Layer 3: Pre-Commit Safety Net
-
Build: Ensure compilation succeeds
npm run build # or language-specific build command -
Tests: Run unit and integration tests
npm test # or pytest, mvn test, etc. -
Validation Script: Meta-level checks
./scripts/validate-stack.sh
The validation script now focuses on:
- Language detection
- Template size and resource count analysis
- Synthesis success verification
- (Note: Detailed anti-pattern checks are handled by cdk-nag)
Workflow Guidelines
Development Workflow
- Design: Plan infrastructure resources and relationships
- Verify AWS Services: Use AWS Documentation MCP to confirm service availability and features
- Check regional availability for all required services
- Verify service limits and quotas
- Confirm latest API specifications
- Implement: Write CDK constructs following best practices
- Use CDK MCP server for construct recommendations
- Reference CDK best practices via MCP tools
- Validate: Run pre-deployment checks (see above)
- Synthesize: Generate CloudFormation templates
- Review: Examine synthesized templates for correctness
- Deploy: Deploy to target environment
- Verify: Confirm resources are created correctly
Stack Organization
- Use nested stacks for complex applications
- Separate concerns into logical construct boundaries
- Export values that other stacks may need
- Use CDK context for environment-specific configuration
Testing Strategy
- Unit test individual constructs
- Integration test stack synthesis
- Snapshot test CloudFormation templates
- Validate resource properties and relationships
Using MCP Servers Effectively
When to Use AWS Documentation MCP
Always verify before implementing:
- New AWS service features or configurations
- Service availability in target regions
- API parameter specifications
- Service limits and quotas
- Security best practices for AWS services
Example scenarios:
- "Check if Lambda supports Python 3.13 runtime"
- "Verify DynamoDB is available in eu-south-2"
- "What are the current Lambda timeout limits?"
- "Get latest S3 encryption options"
When to Use CDK MCP Server
Leverage for CDK-specific guidance:
- CDK construct selection and usage
- CDK API parameter options
- CDK best practice patterns
- Construct property configurations
- CDK-specific optimizations
Example scenarios:
- "What's the recommended CDK construct for API Gateway REST API?"
- "How to configure NodejsFunction bundling options?"
- "Best practices for CDK stack organization"
- "CDK construct for DynamoDB with auto-scaling"
MCP Usage Best Practices
- Verify First: Always check AWS Documentation MCP before implementing new features
- Regional Validation: Check service availability in target deployment regions
- CDK Guidance: Use CDK MCP for construct-specific recommendations
- Stay Current: MCP servers provide latest information beyond knowledge cutoff
- Combine Sources: Use both skill patterns and MCP servers for comprehensive guidance
CDK Patterns Reference
For detailed CDK patterns, anti-patterns, and architectural guidance, refer to the comprehensive reference:
File: references/cdk-patterns.md
This reference includes:
- Common CDK patterns and their use cases
- Anti-patterns to avoid
- Security best practices
- Cost optimization strategies
- Performance considerations
Additional Resources
- Validation Script:
scripts/validate-stack.sh- Pre-deployment validation - CDK Patterns:
references/cdk-patterns.md- Detailed pattern library - AWS Documentation MCP: Integrated for latest AWS information
- CDK MCP Server: Integrated for CDK-specific guidance
GitHub Actions Integration
When GitHub Actions workflow files exist in the repository, ensure all checks defined in .github/workflows/ pass before committing. This prevents CI/CD failures and maintains code quality standards.
FAQ
What does the aws-cdk-development skill do?
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.
How do I install aws-cdk-development?
Run npx skills add https://github.com/zxkane/aws-skills --skill aws-cdk-development in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/aws-cdk-development/ (personal) or .claude/skills/aws-cdk-development/ (project).
Which AI agents can use aws-cdk-development?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is aws-cdk-development safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains aws-cdk-development?
It is published by zxkane in zxkane/aws-skills. It has 1,164 recorded installs.
More from zxkane/aws-skills
aws-cost-operations
zxkane/aws-skills
AWS cost optimization, monitoring, and operational excellence expert. Use when analyzing AWS bills, estimating costs, setting up CloudWatch alarms, querying logs, auditing CloudTrail activity, or assessing security posture. Essential when user mentions AWS costs, spending, billing, budget, pricing, CloudWatch, observability, monitoring, alerting, CloudTrail, audit, or wants to optimize AWS infrastructure costs and operational efficiency.
aws-mcp-setup
zxkane/aws-skills
Configure AWS MCP servers for documentation search and API access. Use when setting up AWS MCP, configuring AWS documentation tools, troubleshooting MCP connectivity, or when user mentions aws-mcp, awsdocs, uvx setup, or MCP server configuration. Covers both Full AWS MCP Server (with uvx + credentials) and lightweight Documentation MCP (no auth required).
aws-serverless-eda
zxkane/aws-skills
AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. Covers Lambda with TypeScript/Python, API Gateway (REST/HTTP), DynamoDB, Step Functions, EventBridge, SQS, SNS, and serverless patterns. Essential when user mentions serverless, Lambda, API Gateway, event-driven, async processing, queues, pub/sub, or wants to build scalable serverless applications with AWS best practices.
aws-agentic-ai
zxkane/aws-skills
AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP tool integration, credential management, agent discovery, governance workflows, and automated quality assessment. Essential when user mentions AgentCore, agent runtime, agent registry, agent evaluation, MCP gateway, deploy agent, register MCP server, discover agents, evaluate agent quality, agent credentials, or wants to build, deploy, catalog, or monitor AI agents on AWS.
aws-sst-development
zxkane/aws-skills
Open the skill to read its SKILL.md instructions.
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.