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Aws Cdk

OrganizationPopular
aws
aws-cdk

Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Applies when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.

Overview

Publisheraws
Repositoryagent-toolkit-for-aws
Skill nameaws-cdk
Stars
2.7K
Forks
311
Bundled files
10
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aws on GitHub. Read the source before you install it.

Installation

Install the Aws Cdk AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git /tmp/agent-toolkit-for-aws
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit-for-aws/plugins/aws-core/skills/aws-cdk .claude/skills/aws-cdk
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Cdk in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aws Cdk on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aws Cdk is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AWS CDK

Overview

Domain expertise for CDK construct authoring, deployment workflows, compliance, drift, importing resources, safe refactoring, and troubleshooting CDK CLI / CloudFormation errors.

When NOT to use: Raw CloudFormation YAML/JSON. SAM. Terraform/Pulumi. CI/CD beyond CDK Pipelines. Use builtin knowledge or specialized skills for these.

Critical Warnings

Deadly embrace: Removing a cross-stack reference deadlocks deployment (Export ... cannot be deleted as it is in use by ...). Preferred fix: weaken the reference first — CrossStackReferences.of($RESOURCE).produce(ReferenceStrength.BOTH) then WEAK, then remove (three deploys). Legacy fallback: two-deploy this.exportValue() recipe. See troubleshooting-deployment.

Construct ID changes cause replacement: Renaming/moving a construct changes its logical ID → CloudFormation replaces the resource (data loss for stateful resources). Always cdk diff before deploy. See refactor-and-prevent-replacement.

UPDATE_ROLLBACK_FAILED: Stack is stuck. Fix with cdk rollback $STACK or cdk rollback $STACK --orphan <LogicalId>. Express mode stacks are the exception — they cannot be rolled back at all. See troubleshooting-deployment.

Hotswap and express mode are development-only: --hotswap / --hotswap-fallback bypass CloudFormation and create drift on purpose; --express reports success before resources stabilize and disables automatic rollback. You MUST NOT use either in production. A failed --express deployment cannot be rolled back — recover by rolling forward with another --express deploy. See fast-deployments.

Non-empty S3 buckets persist after destroy: You MUST set both removalPolicy: DESTROY and autoDeleteObjects: true. Versioned buckets are worse — delete markers persist even after apparent deletion.

Common Workflows

TaskQuick CommandDetails
Bootstrapcdk bootstrap aws://$ACCOUNT/$REGIONbootstrap-and-project-setup
New TS projectcdk init app --language typescript — use tsx, eslint-plugin-awscdkbootstrap-and-project-setup
New Python projectcdk init app --language python — pin deps, use virtualenvbootstrap-and-project-setup
Deploycdk synth --strictcdk diffcdk deployAlways diff before deploy to production
Fast dev iterationcdk deploy --hotswap-fallback, cdk watch, or cdk deploy --express — dev only, never productionfast-deployments
cdk-nagAspects.of(app).add(new AwsSolutionsChecks())compliance-and-drift
Driftcdk drift $STACK (use --fail in CI)compliance-and-drift
Import resourcecdk import (interactive or --resource-mapping for CI), cdk deploy --import-existing-resourcesimport-and-migrate
Refactor safelycdk refactor --unstable=refactor — no property changes in same deployrefactor-and-prevent-replacement

Fast Deployments — Hotswap vs Express (dev only)

Both trade safety for speed and you MUST NOT use either in production.

Choosing between them: Use --hotswap / --hotswap-fallback for the fastest loop when you work mostly with hotswappable resources and drift does not matter. Use --express when drift is unacceptable, or your resources are not hotswappable.

Recovery workflows (hotswap drift via --revert-drift, rolling a failed --express deploy forward), the hotswappable-resource rules, and IAM/monitoring enforcement of the prod prohibition are all in the full guide: fast-deployments.

Troubleshooting

ErrorCause → Fix
DeployFailed / DeploymentErrorCDK error isn't the root cause. cdk deploy $STACK --verbose, then cdk --unstable=diagnose diagnose $STACK (CLI ≥ 2.1120.0); else aws cloudformation describe-events --stack-name $STACK --filters FailedEvents=true — the first _FAILED event is the cause. Details
NoCredentials / ExpiredToken / AssumeRoleFailedaws sts get-caller-identity + cdk doctor. Expired SSO, missing env, missing sts:AssumeRole. Details
Asset errors (CannotFindAsset, FailedToBundleAsset, AssetBuildFailed, AssetPublishFailed)Path wrong, Docker not running, or bootstrap bucket perms. Use path.join(__dirname, ...). Details
AppRequiredAdd "app": "npx tsx bin/my-app.ts" to cdk.json. Details
AnnotationErrorsFix the underlying issue; suppress with NagSuppressions only as last resort. Details
ConcurrentReadLock / ConcurrentWriteLockrm -rf cdk.out then re-run. Parallel CI: --output ./cdk.out.$BUILD_ID. Details
BootstrapVersionValidationRe-bootstrap. Match --qualifier everywhere. Details
DependencyCycleExtract shared resource into third stack or use SSM for late-binding. Details
UnresolvedAccountSet explicit env: { account, region } on stack. Commit cdk.context.json. Details
NoStacksMatchedCDK uses logical ID (2nd constructor arg), not CFN name. cdk list to find IDs. Details
Cannot find module (synth time)Run npx tsc --noEmit, check cdk.json app path matches tsconfig.json outDir, delete stale .js files. Python: activate venv. Details
V1 import paths / duplicate aws-cdk-libV1 @aws-cdk/* imports, wrong Construct import, duplicate lib copies in monorepos. Details
Lambda Cannot find module (runtime)Wrong handler value, missing AWS SDK v3 migration, Python deps not bundled. Details
API Gateway multi-stage conflictsSet deploy: false on RestApi, create Deployment and Stage explicitly. Details
Change didn't deploy under --hotswapChanges to non-hotswappable resources are silently ignored and only logged — the command still reports success. Read the output; use --hotswap-fallback to force a CloudFormation deployment instead. Details
Failed --express deploy / can't roll backExpress mode cannot use the Rollback Stack API, and a standard deploy MUST NOT be used to recover it. Roll forward: fix the cause, then cdk deploy $STACK --express. Details
Unexpected drift on a dev stackHotswap and cdk watch create drift by design. Until reverted, the live resources — not CloudFormation's records — are authoritative. Reconcile with cdk deploy $STACK --revert-drift, which uses Drift Aware Changesets to bring live resources in line with the template (updates reality to match desired state; does NOT rewrite CF records to match drifted resources). Details

Construct Patterns

Prefer L2. Use L1 with Mixins/Facades when L2 lacks a property. Escape hatches: node.defaultChildaddPropertyOverride. See construct-patterns.

Additional Resources

  • Search AWS documentation for "CDK Developer Guide", "CDK API Reference" and "CDK Pipelines" respectively

Security Considerations

  • OIDC for CI/CD credentials (no static keys)
  • --custom-permissions-boundary on bootstrap
  • grant*() for inter-resource IAM
  • cdk-nag + --strict in CI
  • Stateful resources in own stack with terminationProtection: true
  • Commit cdk.context.json

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Aws Cdk AI skill do?

Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Applies when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.

Why use Aws Cdk on TypingMind?

Because you install it once and use it with any model. Aws Cdk is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aws Cdk in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aws/agent-toolkit-for-aws/tree/main/plugins/aws-core/skills/aws-cdk. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aws Cdk?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aws Cdk?

As many as you like. As long as a model supports skills, you can use Aws Cdk with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aws Cdk AI skill free?

Yes. It is published on GitHub by aws under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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