pulumi-typescript▌
dirien/claude-skills · updated Apr 8, 2026
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Project structure:
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 on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches pulumi-typescript from GitHub repository dirien/claude-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★37 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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