pulumi-typescript

dirien/claude-skills · updated Apr 8, 2026

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$npx skills add https://github.com/dirien/claude-skills --skill pulumi-typescript
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summary

Project structure:

skill.md

Pulumi TypeScript Skill

Development Workflow

1. Project Setup

# Create new TypeScript project
pulumi new typescript

# Or with a cloud-specific template
pulumi new aws-typescript
pulumi new azure-typescript
pulumi new gcp-typescript

Project structure:

my-project/
├── Pulumi.yaml
├── Pulumi.dev.yaml      # Stack config (use ESC instead)
├── package.json
├── tsconfig.json
└── index.ts

2. Pulumi ESC Integration

Instead of using pulumi config set or stack config files, use Pulumi ESC for centralized secrets and configuration.

Link ESC environment to stack:

# Create ESC environment
pulumi env init myorg/myproject-dev

# Edit environment
pulumi env edit myorg/myproject-dev

# Link to Pulumi stack
pulumi config env add myorg/myproject-dev

ESC environment definition (YAML):

values:
  # Static configuration
  pulumiConfig:
    aws:region: us-west-2
    myapp:instanceType: t3.medium

  # Dynamic OIDC credentials for AWS
  aws:
    login:
      fn::open::aws-login:
        oidc:
          roleArn: arn:aws:iam::123456789:role/pulumi-oidc
          sessionName: pulumi-deploy

  # Pull secrets from AWS Secrets Manager
  secrets:
    fn::open::aws-secrets:
      region: us-west-2
      login: ${aws.login}
      get:
        dbPassword:
          secretId: prod/database/password

  # Expose to environment variables
  environmentVariables:
    AWS_ACCESS_KEY_ID: ${aws.login.accessKeyId}
    AWS_SECRET_ACCESS_KEY: ${aws.login.secretAccessKey}
    AWS_SESSION_TOKEN: ${aws.login.sessionToken}

3. TypeScript Patterns

Basic resource creation:

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

// Get configuration from ESC
const config = new pulumi.Config();
const instanceType = config.require("instanceType");

// Create resources with proper tagging
const bucket = new aws.s3.Bucket("my-bucket", {
    versioning: { enabled: true },
    serverSideEncryptionConfiguration: {
        rule: {
            applyServerSideEncryptionByDefault: {
                sseAlgorithm: "AES256",
            },
        },
    },
    tags: {
        Environment: pulumi.getStack(),
        ManagedBy: "Pulumi",
    },
});

// Export outputs
export const bucketName = bucket.id;
export const bucketArn = bucket.arn;

Component resources for reusability:

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

interface WebServiceArgs {
    port: pulumi.Input<number>;
    imageUri: pulumi.Input<string>;
}

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

    constructor(name: string, args: WebServiceArgs, opts?: pulumi.ComponentResourceOptions) {
        super("custom:app:WebService", name, {}, opts);

        // Create child resources with { parent: this }
        const lb = new aws.lb.LoadBalancer(`${name}-lb`, {
            loadBalancerType: "application",
            // ... configuration
        }, { parent: this });

        this.url = lb.dnsName;
        this.registerOutputs({ url: this.url });
    }
}

Stack references for cross-stack dependencies:

import * as pulumi from "@pulumi/pulumi";

// Reference outputs from networking stack
const networkingStack = new pulumi.StackReference("myorg/networking/prod");
const vpcId = networkingStack.getOutput("vpcId");
const subnetIds = networkingStack.getOutput("privateSubnetIds");

Working with Outputs:

import * as pulumi from "@pulumi/pulumi";

// Use apply for transformations
const uppercaseName = bucket.id.apply(id => id.toUpperCase());

// Use pulumi.all for multiple outputs
const combined = pulumi.all([bucket.id, bucket.arn]).apply(
    ([id, arn]) => `Bucket ${id} has ARN ${arn}`
);

// Conditional resources
const isProd = pulumi.getStack() === "prod";
const monitoring = isProd ? new aws.cloudwatch.MetricAlarm("alarm", {
    // ... configuration
}) : undefined;

4. Using ESC with pulumi env run

Run any command with ESC environment variables injected:

# Run pulumi commands with ESC credentials
pulumi env run myorg/aws-dev -- pulumi up

# Run tests with secrets
how to use pulumi-typescript

How to use pulumi-typescript on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add pulumi-typescript
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/dirien/claude-skills --skill pulumi-typescript

The skills CLI fetches pulumi-typescript from GitHub repository dirien/claude-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/pulumi-typescript

Reload or restart Cursor to activate pulumi-typescript. Access the skill through slash commands (e.g., /pulumi-typescript) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.537 reviews
  • Soo Choi· Dec 28, 2024

    pulumi-typescript reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Jin Torres· Dec 20, 2024

    Useful defaults in pulumi-typescript — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Rahul Santra· Nov 27, 2024

    Solid pick for teams standardizing on skills: pulumi-typescript is focused, and the summary matches what you get after install.

  • Lucas Srinivasan· Nov 19, 2024

    pulumi-typescript has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Jin Khan· Nov 11, 2024

    I recommend pulumi-typescript for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Pratham Ware· Oct 18, 2024

    pulumi-typescript is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Diego Khan· Oct 10, 2024

    pulumi-typescript fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sofia Martinez· Oct 2, 2024

    Keeps context tight: pulumi-typescript is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Yash Thakker· Sep 21, 2024

    pulumi-typescript fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Diego Anderson· Sep 17, 2024

    I recommend pulumi-typescript for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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