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Pulumi Cdk To Pulumi

Organization
pulumi
pulumi-cdk-to-pulumi

Load this skill when a user wants to migrate, convert, port, translate, or move an AWS CDK application (including CDK stacks, constructs, or CloudFormation-synthesized templates) to Pulumi. Phrases such as "convert CDK to Pulumi", "migrate CDK app", "port CDK stacks", "replace CDK with Pulumi", "stop using CDK". Do NOT load for general CDK questions, CDK-only help, or CDK vs Pulumi comparisons where no migration is requested.

Overview

Publisherpulumi
Repositoryagent-skills
Skill namepulumi-cdk-to-pulumi
Stars
78
Forks
8
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Pulumi Cdk To Pulumi 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.
    https://github.com/pulumi/agent-skills/tree/main/migration/skills/pulumi-cdk-to-pulumi
  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/pulumi/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/migration/skills/pulumi-cdk-to-pulumi .claude/skills/pulumi-cdk-to-pulumi
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pulumi Cdk To Pulumi 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 Pulumi Cdk To Pulumi 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 Pulumi Cdk To Pulumi 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.

CRITICAL SUCCESS REQUIREMENTS

The migration output MUST meet all of the following:

  1. Complete Resource Coverage

    • Every CloudFormation resource synthesized by CDK MUST:
      • Be represented in the Pulumi program OR
      • Be explicitly justified in the final report.
  2. Successful Deployment

    • The produced Pulumi program must be structurally valid and capable of a successful pulumi up (assuming proper config).
  3. Final Migration Report

    • Always output a formal migration report suitable for a Pull Request.
    • Include:
      • CDK → Pulumi resource mapping
      • Provider decisions (aws-native vs aws)
      • Behavioral differences
      • Missing or manually required steps
      • Validation instructions

WHEN INFORMATION IS MISSING

If a user-provided CDK project is incomplete, ambiguous, or missing artifacts (such as cdk.out), ask targeted questions before generating Pulumi code.

MIGRATION WORKFLOW

Follow this workflow exactly and in this order:

1. INFORMATION GATHERING

1.1 Verify AWS Credentials (ESC)

Running AWS commands (e.g., aws cloudformation list-stack-resources) and CDK commands (e.g. cdk synth) requires credentials loaded via Pulumi ESC.

  • If the user has already provided an ESC environment, use it.
  • If no ESC environment is specified, ask the user which ESC environment to use before proceeding with AWS commands.

You MUST confirm the AWS region with the user. The cdk synth results may be incorrect if ran with the wrong AWS Region.

1.2 Synthesize CDK

Run/inspect:

bash
npx cdk synth --quiet
  • ALWAYS run synth with --quiet to prevent the template from being output on stdout.

If failing, inspect cdk.json or package.json for custom synth behavior.

1.3 Identify CDK Stacks & Environments

Read cdk.out/manifest.json:

bash
jq '.artifacts | to_entries | map(select(.value.type == "aws:cloudformation:stack") | {displayName: .key, environment: .value.environment}) | .[]' cdk.out/manifest.json

Example output:

json
{
  "displayName": "DataStack-dev",
  "environment": "aws://616138583583/us-east-2"
}
{
  "displayName": "AppStack-dev",
  "environment": "aws://616138583583/us-east-2"
}

In the Pulumi stack you create you MUST set both the aws:region and aws-native:region config variables. For example:

bash
pulumi config set aws-native:region us-east-2 --stack dev
pulumi config set aws:region us-east-2 --stack dev
1.4 Build Resource Inventory

For each stack:

bash
aws cloudformation list-stack-resources \
  --region <region> \
  --stack-name <stack> \
  --output json
1.5 Analyze CDK Structure

Extract:

  • Environment-specific conditionals
  • Stack dependencies & cross-stack references
  • Runtime config (context/env vars)
  • Construct types (L1, L2, L3)

2. CODE CONVERSION (CDK → PULUMI)

  • Perform the initial conversion using the cdk2pulumi tool. Follow cdk-convert.md to perform the conversion.
  • Read the conversion report and fill in any gaps. For example, if the conversion fails to convert a resource you have to convert it manually yourself.
2.1 Custom Resources Handling

CDK uses Lambda-backed Custom Resources for functionality not available in CloudFormation. In synthesized CloudFormation, these appear as:

  • Resource type: AWS::CloudFormation::CustomResource or Custom::<name>
  • Metadata contains aws:cdk:path with the handler name (e.g., aws-s3/auto-delete-objects-handler)

Default behavior: cdk2pulumi rewrites custom resources to aws-native:cloudformation:CustomResourceEmulator, which invokes the original Lambda. This works but has tradeoffs (Lambda dependency, cold starts, eventual consistency).

Migration strategies by handler type:

HandlerStrategy
aws-certificatemanager/dns-validated-certificate-handlerReplace with aws.acm.Certificate, aws.route53.Record, and aws.acm.CertificateValidation
aws-ec2/restrict-default-security-group-handlerReplace with aws.ec2.DefaultSecurityGroup resource with empty ingress/egress rules
aws-ecr/auto-delete-images-handlerReplace aws-native:ecr:Repository with aws.ecr.Repository with forceDelete: true
aws-s3/auto-delete-objects-handlerReplace aws-native:s3:Bucket with aws.s3.Bucket with forceDestroy: true
aws-s3/notifications-resource-handlerReplace with aws.s3.BucketNotification
aws-logs/log-retention-handlerReplace with aws.cloudwatch.LogGroup with explicit retentionInDays
aws-iam/oidc-handlerReplace with aws.iam.OpenIdConnectProvider
aws-route53/delete-existing-record-set-handlerReplace with aws.route53.Record with allowOverwrite: true
aws-dynamodb/replica-handlerReplace with aws.dynamodb.TableReplica

Cross-account/region handlers:

  • aws-cloudfront/edge-function → Use aws.lambda.Function with region: "us-east-1"
  • aws-route53/cross-account-zone-delegation-handler → Use separate aws provider with cross-account role assumption

Graceful degradation for unknown handlers:

  1. Keep the CustomResourceEmulator (default behavior)
  2. Document the custom resource in the migration report with:
    • Original handler name and purpose (if discernible from CDK path)
    • Note that it uses Lambda invocation at runtime
    • Recommend user review for potential native replacement
2.2 Provider Strategy
  • Default: Use aws-native whenever the resource type is available.
  • Fallback: Use aws when aws-native does not support equivalent features.
2.3 Assets & Bundling

CDK uses Assets and Bundling to handle deployment artifacts. These are processed by the CDK CLI before CloudFormation deployment and appear in the cdk.out directory alongside *.assets.json metadata files. CloudFormation templates contain hard-coded references to asset locations (S3 bucket/key or ECR repo/tag).

bash
# Inspect asset definitions
jq '.files, .dockerImages' cdk.out/*.assets.json

Migration strategies by asset type:

Asset TypeDetectionPulumi Migration
Docker ImagedockerImages in assets.jsonUse docker-build.Image to build and push. Replace hard-coded ECR URI with image output.
File with build commandfiles with executable fieldFlag to user - build command needs setup in Pulumi
Static filefiles without executable, no bundling in CDK sourceUse pulumi.FileArchive or pulumi.FileAsset
Bundled filefiles without executable, but CDK source uses bundlingFlag to user - bundling needs setup in Pulumi

Detecting Bundling in CDK Source:

Check the CDK source code for bundling constructs (NodejsFunction, PythonFunction, GoFunction, or resources using the bundling option). If bundling is used, the build step needs to be replicated in Pulumi for ongoing development - otherwise source changes would require manually re-running cdk synth.

When bundling is detected, inform the user:

Build Step Detected: This CDK application uses <BUNDLING_TYPE> which builds deployable artifacts during synthesis. This build step needs to be replicated in Pulumi for ongoing development.

Options:

  1. CI/CD Pipeline (Recommended): Move the build step to your CI pipeline and reference the pre-built artifact in Pulumi
  2. Pulumi Command Provider: Use command.local.Command to run the build command during pulumi up
  3. Pre-build Script: Create a build script that runs before pulumi up and outputs to a known location

Each option has tradeoffs around caching, reproducibility, and deployment speed. For production workloads, option 1 is typically preferred.

2.4 TypeScript Handling for aws-native

aws-native outputs often include undefined. Avoid ! non-null assertions. Always safely unwrap with .apply():

ts
// ❌ WRONG - Will cause TypeScript errors
functionName: lambdaFunction.functionName!,

// ✅ CORRECT - Handle undefined safely
functionName: lambdaFunction.functionName.apply(name => name || ""),
2.5 Environment Logic Preservation

Carry forward all conditional behaviors:

ts
if (currentEnv.createVpc) {
  // create resources
} else {
  const vpcId = pulumi.output(currentEnv.vpcId);
}

3. Resource Import (optional)

After conversion you can optionally import the existing resources to now be managed by Pulumi. If the user does not request this you should suggest this as a follow up step to conversion.

  • Always start with automated import using the cdk-importer tool. Follow cdk-importer.md to perform the automated import.
  • For any resources that fail to import with the automated tool, import them manually.

If you need to manually import resources:

3.1 Running preview after import

After performing an import you need to run pulumi preview to ensure there are no changes. No changes means:

  • NO updates
  • NO replaces
  • NO creates
  • NO deletes

If there are changes you must investigate and update the program until there are no changes.

Working with the User

If the user asks for help planning or performing a CDK to Pulumi migration use the information above to guide the user towards the automated migration approach.

For Detailed Documentation

When the user wants to deviate from the recommended path detailed above, use the web-fetch tool to get content from the official Pulumi documentation -> https://www.pulumi.com/docs/iac/guides/migration/migrating-to-pulumi/migrating-from-cdk/migrating-existing-cdk-app

This documentation covers topics:

  • Migration Strategy
    • Convert vs. Rewrite
    • Import vs. Rehydrate
    • Best Practices
  • Handling Multiple CDK Stacks
  • Handling CDK Stages
  • Code organization
  • Converting CDK Constructs
  • Execution Strategies
    • Automated Migration (recommended)
    • Manual Migration

OUTPUT FORMAT (REQUIRED)

When performing a migration, always produce:

  1. Overview (high-level description)
  2. Migration Plan Summary
  3. Pulumi Code Outputs (TypeScript; structured by file)
  4. Resource Mapping Table (CDK → Pulumi)
  5. Custom Resources Summary (if any):
    • Handlers migrated to native Pulumi resources
    • Handlers kept as CustomResourceEmulator with rationale
    • Any handlers requiring user attention
  6. Assets & Bundling Summary (if any):
    • Migrated: Assets successfully converted (e.g., Docker images → docker-build.Image, static files → pulumi.FileArchive)
    • Requires attention: Assets with bundling steps, options presented, and decision if made
  7. Final Migration Report (PR-ready)
  8. Next Steps (optional refactors)

Keep code syntactically valid and clearly separated by files.

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 Pulumi Cdk To Pulumi AI skill do?

Load this skill when a user wants to migrate, convert, port, translate, or move an AWS CDK application (including CDK stacks, constructs, or CloudFormation-synthesized templates) to Pulumi. Phrases such as "convert CDK to Pulumi", "migrate CDK app", "port CDK stacks", "replace CDK with Pulumi", "stop using CDK". Do NOT load for general CDK questions, CDK-only help, or CDK vs Pulumi comparisons where no migration is requested.

Why use Pulumi Cdk To Pulumi on TypingMind?

Because you install it once and use it with any model. Pulumi Cdk To Pulumi 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 Pulumi Cdk To Pulumi in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pulumi/agent-skills/tree/main/migration/skills/pulumi-cdk-to-pulumi. 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 Pulumi Cdk To Pulumi?

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 Pulumi Cdk To Pulumi?

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

Is the Pulumi Cdk To Pulumi AI skill free?

Yes. It is published on GitHub by pulumi 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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