Pulumi Best Practices logo

Pulumi Best Practices

Organization
pulumi
pulumi-best-practices

Load when the user is writing, reviewing, or debugging Pulumi TypeScript/Python programs; asks about Output<T> or apply() usage; wants to create ComponentResource classes; needs to refactor resources without destroying them (aliases); is setting up secrets or config; or is configuring a pulumi preview/up CI workflow. Also load for questions about resource dependency order, parent/child resource relationships, or pulumi.interpolate.

Overview

Publisherpulumi
Repositoryagent-skills
Skill namepulumi-best-practices
Stars
78
Forks
8
Bundled files
2
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.

  • 2 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 Best Practices 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/pulumi/skills/pulumi-best-practices
  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/pulumi/skills/pulumi-best-practices .claude/skills/pulumi-best-practices
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pulumi Best Practices 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 Best Practices 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 Best Practices 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.

Pulumi Best Practices

When to Use This Skill

Invoke this skill when:

  • Writing new Pulumi programs or components
  • Reviewing Pulumi code for correctness
  • Refactoring existing Pulumi infrastructure
  • Debugging resource dependency issues
  • Setting up configuration and secrets

Practices

1. Never Create Resources Inside apply()

Why: Resources created inside apply() don't appear in pulumi preview, making changes unpredictable. Pulumi cannot properly track dependencies, leading to race conditions and deployment failures.

Detection signals:

  • new aws. or other resource constructors inside .apply() callbacks
  • Resource creation inside pulumi.all([...]).apply()
  • Dynamic resource counts determined at runtime inside apply

Wrong:

typescript
const bucket = new aws.s3.Bucket("bucket");

bucket.id.apply(bucketId => {
    // WRONG: This resource won't appear in preview
    new aws.s3.BucketObject("object", {
        bucket: bucketId,
        content: "hello",
    });
});

Right:

typescript
const bucket = new aws.s3.Bucket("bucket");

// Pass the output directly - Pulumi handles the dependency
const object = new aws.s3.BucketObject("object", {
    bucket: bucket.id,  // Output<string> works here
    content: "hello",
});

When apply is appropriate:

  • Transforming output values for use in tags, names, or computed strings
  • Logging or debugging (not resource creation)
  • Conditional logic that affects resource properties, not resource existence

Reference: https://www.pulumi.com/docs/concepts/inputs-outputs/


2. Pass Outputs Directly as Inputs

Why: Pulumi builds a directed acyclic graph (DAG) based on input/output relationships. Passing outputs directly ensures correct creation order. Unwrapping values manually breaks the dependency chain, causing resources to deploy in wrong order or reference values that don't exist yet.

Detection signals:

  • Variables extracted from .apply() used later as resource inputs
  • await on output values outside of apply
  • String concatenation with outputs instead of pulumi.interpolate

Wrong:

typescript
const vpc = new aws.ec2.Vpc("vpc", { cidrBlock: "10.0.0.0/16" });

// WRONG: Extracting the value breaks the dependency chain
let vpcId: string;
vpc.id.apply(id => { vpcId = id; });

const subnet = new aws.ec2.Subnet("subnet", {
    vpcId: vpcId,  // May be undefined, no tracked dependency
    cidrBlock: "10.0.1.0/24",
});

Right:

typescript
const vpc = new aws.ec2.Vpc("vpc", { cidrBlock: "10.0.0.0/16" });

const subnet = new aws.ec2.Subnet("subnet", {
    vpcId: vpc.id,  // Pass the Output directly
    cidrBlock: "10.0.1.0/24",
});

For string interpolation:

typescript
// WRONG
const name = bucket.id.apply(id => `prefix-${id}-suffix`);

// RIGHT - use pulumi.interpolate for template literals
const name = pulumi.interpolate`prefix-${bucket.id}-suffix`;

// RIGHT - use pulumi.concat for simple concatenation
const name = pulumi.concat("prefix-", bucket.id, "-suffix");

Reference: https://www.pulumi.com/docs/concepts/inputs-outputs/


3. Use Components for Related Resources

Why: ComponentResource classes group related resources into reusable, logical units. Without components, your resource graph is flat, making it hard to understand which resources belong together, reuse patterns across stacks, or reason about your infrastructure at a higher level.

Detection signals:

  • Multiple related resources created at top level without grouping
  • Repeated resource patterns across stacks that should be abstracted
  • Hard to understand resource relationships from the Pulumi console

Wrong:

typescript
// Flat structure - no logical grouping, hard to reuse
const bucket = new aws.s3.Bucket("app-bucket");
const bucketPolicy = new aws.s3.BucketPolicy("app-bucket-policy", {
    bucket: bucket.id,
    policy: policyDoc,
});
const originAccessIdentity = new aws.cloudfront.OriginAccessIdentity("app-oai");
const distribution = new aws.cloudfront.Distribution("app-cdn", { /* ... */ });

Right:

typescript
interface StaticSiteArgs {
    domain: string;
    content: pulumi.asset.AssetArchive;
}

class StaticSite extends pulumi.ComponentResource {
    public readonly url: pulumi.Output<string>;

    constructor(name: string, args: StaticSiteArgs, opts?: pulumi.ComponentResourceOptions) {
        super("myorg:components:StaticSite", name, args, opts);

        // Resources created here - see practice 4 for parent setup
        const bucket = new aws.s3.Bucket(`${name}-bucket`, {}, { parent: this });
        // ...

        this.url = distribution.domainName;
        this.registerOutputs({ url: this.url });
    }
}

// Reusable across stacks
const site = new StaticSite("marketing", {
    domain: "marketing.example.com",
    content: new pulumi.asset.FileArchive("./dist"),
});

Component best practices:

  • Use a consistent type URN pattern: organization:module:ComponentName
  • Call registerOutputs() at the end of the constructor
  • Expose outputs as class properties for consumers
  • Accept ComponentResourceOptions to allow callers to set providers, aliases, etc.

For in-depth component authoring guidance (args design, multi-language support, testing, distribution), use skill pulumi-component.

Reference: https://www.pulumi.com/docs/concepts/resources/components/


4. Always Set parent: this in Components

Why: When you create resources inside a ComponentResource without setting parent: this, those resources appear at the root level of your stack's state. This breaks the logical hierarchy, makes the Pulumi console hard to navigate, and can cause issues with aliases and refactoring. The parent relationship is what makes the component actually group its children.

Detection signals:

  • ComponentResource classes that don't pass { parent: this } to child resources
  • Resources inside a component appearing at root level in the console
  • Unexpected behavior when adding aliases to components

Wrong:

typescript
class MyComponent extends pulumi.ComponentResource {
    constructor(name: string, opts?: pulumi.ComponentResourceOptions) {
        super("myorg:components:MyComponent", name, {}, opts);

        // WRONG: No parent set - this bucket appears at root level
        const bucket = new aws.s3.Bucket(`${name}-bucket`);
    }
}

Right:

typescript
class MyComponent extends pulumi.ComponentResource {
    constructor(name: string, opts?: pulumi.ComponentResourceOptions) {
        super("myorg:components:MyComponent", name, {}, opts);

        // RIGHT: Parent establishes hierarchy
        const bucket = new aws.s3.Bucket(`${name}-bucket`, {}, {
            parent: this
        });

        const policy = new aws.s3.BucketPolicy(`${name}-policy`, {
            bucket: bucket.id,
            policy: policyDoc,
        }, {
            parent: this
        });
    }
}

What parent: this provides:

  • Resources appear nested under the component in Pulumi console
  • Deleting the component deletes all children
  • Aliases on the component automatically apply to children
  • Clear ownership in state files

Reference: https://www.pulumi.com/docs/concepts/resources/components/


5. Encrypt Secrets from Day One

Why: Secrets marked with --secret are encrypted in state files, masked in CLI output, and tracked through transformations. Starting with plaintext config and converting later requires credential rotation, reference updates, and audit of leaked values in logs and state history.

Detection signals:

  • Passwords, API keys, tokens stored as plain config
  • Connection strings with embedded credentials
  • Private keys or certificates in plaintext

Wrong:

bash
# Plaintext - will be visible in state and logs
pulumi config set databasePassword hunter2
pulumi config set apiKey sk-1234567890

Right:

bash
# Encrypted from the start
pulumi config set --secret databasePassword hunter2
pulumi config set --secret apiKey sk-1234567890

In code:

typescript
const config = new pulumi.Config();

// This retrieves a secret - the value stays encrypted
const dbPassword = config.requireSecret("databasePassword");

// Creating outputs from secrets preserves secrecy
const connectionString = pulumi.interpolate`postgres://user:${dbPassword}@host/db`;
// connectionString is also a secret Output

// Explicitly mark values as secret
const computed = pulumi.secret(someValue);

Use Pulumi ESC for centralized secrets:

yaml
# Pulumi.yaml
environment:
  - production-secrets  # Pull from ESC environment
bash
# ESC manages secrets centrally across stacks
esc env set production-secrets db.password --secret "hunter2"

What qualifies as a secret:

  • Passwords and passphrases
  • API keys and tokens
  • Private keys and certificates
  • Connection strings with credentials
  • OAuth client secrets
  • Encryption keys

References:


6. Use Aliases When Refactoring

Why: Renaming resources, moving them into components, or changing parents causes Pulumi to see them as new resources. Without aliases, refactoring destroys and recreates resources, potentially causing downtime or data loss. Aliases preserve resource identity through refactors.

Detection signals:

  • Resource rename without alias
  • Moving resource into or out of a ComponentResource
  • Changing the parent of a resource
  • Preview shows delete+create when update was intended

Wrong:

typescript
// Before: resource named "my-bucket"
const bucket = new aws.s3.Bucket("my-bucket");

// After: renamed without alias - DESTROYS THE BUCKET
const bucket = new aws.s3.Bucket("application-bucket");

Right:

typescript
// After: renamed with alias - preserves the existing bucket
const bucket = new aws.s3.Bucket("application-bucket", {}, {
    aliases: [{ name: "my-bucket" }],
});

Moving into a component:

typescript
// Before: top-level resource
const bucket = new aws.s3.Bucket("my-bucket");

// After: inside a component - needs alias with old parent
class MyComponent extends pulumi.ComponentResource {
    constructor(name: string, opts?: pulumi.ComponentResourceOptions) {
        super("myorg:components:MyComponent", name, {}, opts);

        const bucket = new aws.s3.Bucket("bucket", {}, {
            parent: this,
            aliases: [{
                name: "my-bucket",
                parent: pulumi.rootStackResource,  // Was at root
            }],
        });
    }
}

Alias types:

typescript
// Simple name change
aliases: [{ name: "old-name" }]

// Parent change
aliases: [{ name: "resource-name", parent: oldParent }]

// Full URN (when you know the exact previous URN)
aliases: ["urn:pulumi:stack::project::aws:s3/bucket:Bucket::old-name"]

Lifecycle:

  1. Add alias during refactor
  2. Run pulumi up on all stacks
  3. Remove alias after all stacks updated (optional, but keeps code clean)

Reference: https://www.pulumi.com/docs/iac/concepts/resources/options/aliases/


7. Preview Before Every Deployment

Why: pulumi preview shows exactly what will be created, updated, or destroyed. Surprises in production come from skipping preview. A resource showing "replace" when you expected "update" means imminent destruction and recreation.

Detection signals:

  • Running pulumi up --yes interactively without reviewing changes
  • No preview step anywhere in the CI/CD workflow for a given change
  • Preview output not reviewed before merge or deployment approval

Wrong:

bash
# Deploying blind
pulumi up --yes

Right:

bash
# Always preview first
pulumi preview

# Review the output, then deploy
pulumi up

What to look for in preview:

  • + create - New resource will be created
  • ~ update - Existing resource will be modified in place
  • - delete - Resource will be destroyed
  • +-replace - Resource will be destroyed and recreated (potential downtime)
  • ~+-replace - Resource will be updated, then replaced

Warning signs:

  • Unexpected replace operations (check for immutable property changes)
  • Resources being deleted that shouldn't be
  • More changes than expected from your code diff

CI/CD integration:

yaml
# GitHub Actions example
jobs:
  preview:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Pulumi Preview
        uses: pulumi/actions@v5
        with:
          command: preview
          stack-name: production
        env:
          PULUMI_ACCESS_TOKEN: ${{ secrets.PULUMI_ACCESS_TOKEN }}

  deploy:
    needs: preview
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'
    steps:
      - name: Pulumi Up
        uses: pulumi/actions@v5
        with:
          command: up
          stack-name: production

PR workflow:

  • Run preview on every PR
  • Post preview output as PR comment
  • Require preview review before merge
  • Deploy only on merge to main

References:


Quick Reference

PracticeKey SignalFix
No resources in applynew Resource() inside .apply()Move resource outside, pass Output directly
Pass outputs directlyExtracted values used as inputsUse Output objects, pulumi.interpolate
Use componentsFlat structure, repeated patternsCreate ComponentResource classes
Set parent: thisComponent children at root levelPass { parent: this } to all child resources
Secrets from day onePlaintext passwords/keys in configUse --secret flag, ESC
Aliases when refactoringDelete+create in previewAdd alias with old name/parent
Preview before deploypulumi up --yesAlways run pulumi preview first

Validation Checklist

When reviewing Pulumi code, verify:

  • No resource constructors inside apply() callbacks
  • Outputs passed directly to dependent resources
  • Related resources grouped in ComponentResource classes
  • Child resources have { parent: this }
  • Sensitive values use config.requireSecret() or --secret
  • Refactored resources have aliases preserving identity
  • Deployment process includes preview step

Related Skills

  • pulumi-overview: Entry-point skill that orients an agent across the three Pulumi surfaces (pulumi do CLI, IaC projects, and Pulumi Cloud) and routes to specialized skills. Load it first when the task begins with general infrastructure phrasing or spans multiple Pulumi surfaces. Use skill pulumi-overview.
  • pulumi-component: Deep guide to authoring ComponentResource classes, designing args interfaces, multi-language support, testing, and distribution. Use skill pulumi-component.
  • pulumi-automation-api: Programmatic orchestration of multiple stacks. Use skill pulumi-automation-api.
  • pulumi-esc: Centralized secrets and configuration management. Use skill pulumi-esc.

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 Best Practices AI skill do?

Load when the user is writing, reviewing, or debugging Pulumi TypeScript/Python programs; asks about Output<T> or apply() usage; wants to create ComponentResource classes; needs to refactor resources without destroying them (aliases); is setting up secrets or config; or is configuring a pulumi preview/up CI workflow. Also load for questions about resource dependency order, parent/child resource relationships, or pulumi.interpolate.

Why use Pulumi Best Practices on TypingMind?

Because you install it once and use it with any model. Pulumi Best Practices 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 Best Practices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pulumi/agent-skills/tree/main/pulumi/skills/pulumi-best-practices. 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 Best Practices?

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 Best Practices?

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

Is the Pulumi Best Practices 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇