Cloudformation To Pulumi logo

Cloudformation To Pulumi

Organization
pulumi
cloudformation-to-pulumi

Convert, migrate, or import AWS CloudFormation stacks or templates into Pulumi programs. Load this skill whenever a user wants to move from CloudFormation to Pulumi, convert a CFN template, import existing CloudFormation-managed resources into Pulumi, or asks about CloudFormation-to-Pulumi migration in any form. Also load when the user mentions cdk-importer in a migration context.

Overview

Publisherpulumi
Repositoryagent-skills
Skill namecloudformation-to-pulumi
Stars
78
Forks
8
Bundled files
4
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.

  • 4 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 Cloudformation 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/cloudformation-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/cloudformation-to-pulumi .claude/skills/cloudformation-to-pulumi
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloudformation 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 Cloudformation 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 Cloudformation 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.

IMPORTANT: PLAN ADJUSTMENT REQUIRED

If you have already generated a migration plan before loading this skill, you MUST:

  1. Review your existing plan against the workflows and requirements in this skill
  2. Identify any gaps, missing steps, or incorrect assumptions
  3. Update and revise your plan to align with this skill's guidance
  4. Communicate the adjusted plan to the user before proceeding

CRITICAL SUCCESS REQUIREMENTS

The migration output MUST meet all of the following:

  1. Complete Resource Coverage

    • Every CloudFormation resource MUST be represented in the Pulumi program OR explicitly justified in the final report.
  2. CloudFormation Logical ID as Resource Name

    • CRITICAL: Every Pulumi resource MUST use the CloudFormation Logical ID as its resource name.
    • This enables the cdk-importer tool to automatically find import IDs.
    • DO NOT rename resources. Automated import will FAIL if you change the logical IDs.
  3. Successful Deployment

    • The produced Pulumi program must be structurally valid and capable of a successful pulumi preview (assuming proper config).
  4. Zero-Diff Import Validation (if importing existing resources)

    • After import, pulumi preview must show NO updates, replaces, creates, or deletes.
  5. Final Migration Report

    • Always output a formal migration report suitable for a Pull Request.

WHEN INFORMATION IS MISSING

If the user has not provided a CloudFormation template, you MUST fetch it from AWS using the stack name.

MIGRATION WORKFLOW

Follow this workflow exactly and in this order:

1. INFORMATION GATHERING

1.1 Verify AWS Credentials (ESC)

Running AWS commands 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.

For detailed ESC information: Use skill pulumi-esc.

You MUST confirm the AWS region with the user.

1.2 Get the CloudFormation Template

If user provided a template file: Read the template directly.

If user only provided a stack name: Fetch the template from AWS:

bash
aws cloudformation get-template \
  --region <region> \
  --stack-name <stack-name> \
  --query 'TemplateBody' \
  --output json > template.json
1.3 Build Resource Inventory

List all resources in the stack:

bash
aws cloudformation list-stack-resources \
  --region <region> \
  --stack-name <stack-name> \
  --output json

This provides:

  • LogicalResourceId - Use this as the Pulumi resource name
  • PhysicalResourceId - The actual AWS resource ID
  • ResourceType - The CloudFormation resource type
1.4 Analyze Template Structure

Extract from the template:

  • Parameters and their defaults
  • Mappings
  • Conditions
  • Outputs
  • Resource dependencies (Ref, GetAtt, DependsOn)

2. CODE CONVERSION (CloudFormation → Pulumi)

IMPORTANT: There is NO automated conversion tool for CloudFormation. You MUST convert each resource manually.

2.1 Resource Name Convention (CRITICAL)

Every Pulumi resource MUST use the CloudFormation Logical ID as its name.

typescript
// CloudFormation:
// "MyAppBucketABC123": { "Type": "AWS::S3::Bucket", ... }

// Pulumi - CORRECT:
const myAppBucket = new aws.s3.Bucket("MyAppBucketABC123", { ... });

// Pulumi - WRONG (DO NOT do this - import will fail):
const myAppBucket = new aws.s3.Bucket("my-app-bucket", { ... });

This naming convention is REQUIRED because the cdk-importer tool matches resources by name.

2.2 Provider Strategy

⚠️ CRITICAL: ALWAYS USE aws-native BY DEFAULT ⚠️

  • Use aws-native for all resources unless there's a specific reason to use aws.
  • CloudFormation types map directly to aws-native (e.g., AWS::S3::Bucket → aws-native.s3.Bucket).
  • Only use aws (classic) when aws-native doesn't support a required feature.

This is MANDATORY for successful imports with cdk-importer. The cdk-importer works by matching CloudFormation resources to Pulumi resources, and CloudFormation maps 1:1 to aws-native. Using the classic aws provider will cause import failures.

2.3 CloudFormation Intrinsic Functions

Map CloudFormation intrinsic functions to Pulumi equivalents:

CloudFormationPulumi Equivalent
!Ref (resource)Resource output (e.g., bucket.id)
!Ref (parameter)Pulumi config
!GetAtt Resource.AttrResource property output
!Sub "..."pulumi.interpolate
!Join [delim, [...]]pulumi.interpolate or .apply()
!If [cond, true, false]Ternary operator
!Equals [a, b]=== comparison
!Select [idx, list]Array indexing with .apply()
!Split [delim, str].apply(v => v.split(...))
Fn::ImportValueStack references or config
Example: !Sub
typescript
// CloudFormation: !Sub "arn:aws:s3:::${MyBucket}/*"
// Pulumi:
const bucketArn = pulumi.interpolate`arn:aws:s3:::${myBucket.bucket}/*`;
Example: !GetAtt
typescript
// CloudFormation: !GetAtt MyFunction.Arn
// Pulumi:
const functionArn = myFunction.arn;
2.4 CloudFormation Conditions

Convert CloudFormation conditions to TypeScript logic:

typescript
// CloudFormation:
// "Conditions": {
//   "CreateProdResources": { "Fn::Equals": [{ "Ref": "Environment" }, "prod"] }
// }

// Pulumi:
const config = new pulumi.Config();
const environment = config.require("environment");
const createProdResources = environment === "prod";

if (createProdResources) {
  // Create production-only resources
}
2.5 CloudFormation Parameters

Convert parameters to Pulumi config:

typescript
// CloudFormation:
// "Parameters": {
//   "InstanceType": { "Type": "String", "Default": "t3.micro" }
// }

// Pulumi:
const config = new pulumi.Config();
const instanceType = config.get("instanceType") || "t3.micro";
2.6 CloudFormation Mappings

Convert mappings to TypeScript objects:

typescript
// CloudFormation:
// "Mappings": {
//   "RegionMap": {
//     "us-east-1": { "AMI": "ami-12345" },
//     "us-west-2": { "AMI": "ami-67890" }
//   }
// }

// Pulumi:
const regionMap: Record<string, { ami: string }> = {
  "us-east-1": { ami: "ami-12345" },
  "us-west-2": { ami: "ami-67890" },
};
const ami = regionMap[aws.config.region!].ami;
2.7 Custom Resources

CloudFormation Custom Resources (AWS::CloudFormation::CustomResource or Custom::*) require special handling:

  1. Identify the purpose: Read the Lambda function code to understand what it does
  2. Find native replacement: Check if Pulumi has a native resource that provides the same functionality
  3. If no replacement: Document in the migration report that manual implementation is needed
2.8 TypeScript Output Handling

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

typescript
// WRONG
functionName: lambdaFunction.functionName!,

// CORRECT
functionName: lambdaFunction.functionName.apply(name => name || ""),

3. RESOURCE IMPORT

After conversion, import existing resources to be managed by Pulumi.

3.0 Pre-Import Validation (REQUIRED)

Before proceeding with import, verify your code:

  1. Check Provider Usage: Scan your code to ensure all resources use aws-native
  2. Document Exceptions: Any use of aws (classic) provider must be justified
  3. Verify Resource Names: Confirm all resources use CloudFormation Logical IDs as names
3.1 Automated Import with cdk-importer

Because you used CloudFormation Logical IDs as resource names, you can use the cdk-importer tool to automatically import resources.

Follow cfn-importer.md for detailed import procedures.

3.2 Manual Import for Failed Resources

For resources that fail automatic import:

  1. Follow cloudformation-id-lookup.md to find the import ID format
  2. Use pulumi import:
bash
pulumi import <pulumi-resource-type> <logical-id> <import-id>
3.3 Running Preview After Import

After import, run pulumi preview. There must be:

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

If there are changes, investigate and update the program until preview is clean.

OUTPUT FORMAT (REQUIRED)

When performing a migration, always produce:

  1. Overview (high-level description)
  2. Migration Plan Summary
  3. Pulumi Code Outputs (TypeScript; organized by file)
  4. Resource Mapping Table:
CloudFormation Logical IDCFN TypePulumi TypeProvider
MyAppBucketABC123AWS::S3::Bucketaws-native.s3.Bucketaws-native
MyLambdaFunction456AWS::Lambda::Functionaws-native.lambda.Functionaws-native
  1. Custom Resources Summary (if any)
  2. Final Migration Report (PR-ready)
  3. Next Steps (import instructions)

FOR DETAILED DOCUMENTATION

Fetch content from official Pulumi documentation:

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 Cloudformation To Pulumi AI skill do?

Convert, migrate, or import AWS CloudFormation stacks or templates into Pulumi programs. Load this skill whenever a user wants to move from CloudFormation to Pulumi, convert a CFN template, import existing CloudFormation-managed resources into Pulumi, or asks about CloudFormation-to-Pulumi migration in any form. Also load when the user mentions cdk-importer in a migration context.

Why use Cloudformation To Pulumi on TypingMind?

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

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

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

Is the Cloudformation 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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