pulumi-automation-api

pulumi/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/pulumi/agent-skills --skill pulumi-automation-api
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summary

Programmatic orchestration of Pulumi infrastructure operations across multiple stacks and applications.

  • Supports both local source (existing Pulumi projects) and inline source (embedded programs) architectures, enabling flexible deployment patterns from simple to complex multi-stack scenarios
  • Handles multi-stack orchestration with dependency sequencing, parallel independent deployments, and cross-stack output passing for coordinated infrastructure provisioning
  • Provides programmatic c
skill.md

Pulumi Automation API

When to Use This Skill

Invoke this skill when:

  • Orchestrating deployments across multiple Pulumi stacks
  • Embedding Pulumi operations in custom applications
  • Building self-service infrastructure platforms
  • Replacing fragile Bash/Makefile orchestration scripts
  • Creating custom CLIs for infrastructure management
  • Building web applications that provision infrastructure

What is Automation API

Automation API provides programmatic access to Pulumi operations. Instead of running pulumi up from the CLI, you call functions in your code that perform the same operations.

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

// Create or select a stack
const stack = await automation.LocalWorkspace.createOrSelectStack({
    stackName: "dev",
    projectName: "my-project",
    program: async () => {
        // Your Pulumi program here
    },
});

// Run pulumi up programmatically
const upResult = await stack.up({ onOutput: console.log });
console.log(`Update summary: ${JSON.stringify(upResult.summary)}`);

When to Use Automation API

Good Use Cases

Multi-stack orchestration:

When you split infrastructure into multiple focused projects, Automation API helps offset the added complexity by orchestrating operations across stacks:

infrastructure → platform → application
     ↓              ↓            ↓
   (VPC)      (Kubernetes)   (Services)

Automation API ensures correct sequencing without manual intervention.

Self-service platforms:

Build internal tools where developers request infrastructure without learning Pulumi:

  • Web portals for environment provisioning
  • Slack bots that create/destroy resources
  • Custom CLIs tailored to your organization

Embedded infrastructure:

Applications that provision their own infrastructure:

  • SaaS platforms creating per-tenant resources
  • Testing frameworks spinning up test environments
  • CI/CD systems with dynamic infrastructure needs

Replacing fragile scripts:

If you have Bash scripts or Makefiles stitching together multiple pulumi commands, Automation API provides:

  • Proper error handling
  • Type safety
  • Programmatic access to outputs

When NOT to Use

  • Single project with standard deployment needs
  • When you don't need programmatic control over operations

Architecture Choices

Local Source vs Inline Source

Local Source - Pulumi program in separate files:

const stack = await automation.LocalWorkspace.createOrSelectStack({
    stackName: "dev",
    workDir: "./infrastructure",  // Points to existing Pulumi project
});

When to use:

  • Different teams maintain orchestrator vs Pulumi programs
  • Pulumi programs already exist
  • Want independent version control and release cycles
  • Platform team orchestrating application team's infrastructure

Inline Source - Pulumi program embedded in orchestrator:

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

const stack = await automation.LocalWorkspace.createOrSelectStack({
    stackName: "dev",
    projectName: "my-project",
    program: async () => {
        const bucket = new aws.s3.Bucket("my-bucket");
        return { bucketName: bucket.id };
    },
});

When to use:

  • Single team owns everything
  • Tight coupling between orchestration and infrastructure is desired
  • Distributing as compiled binary (no source files needed)
  • Simpler deployment artifact

Language Independence

The Automation API program can use a different language than the Pulumi programs it orchestrates:

Orchestrator (Go) → manages → Pulumi Program (TypeScript)

This enables platform teams to use their preferred language while application teams use theirs.

Common Patterns

Multi-Stack Orchestration

Deploy multiple stacks in dependency order:

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

async function deploy() {
    const stacks = [
        { name: "infrastructure", dir: "./infra" },
        { name: "platform", dir: "./platform" },
        { name: "application", dir: "./app" },
    ];

    for (const stackInfo of stacks) {
        console.log(`Deploying ${stackInfo.name}...`);

        const stack = await automation.LocalWorkspace.createOrSelectStack({
            stackName: "prod",
            workDir: stackInfo.dir,
        });

        await stack.up({ onOutput: console.log });
        console.log(`${stackInfo.name} deployed successfully`);
    }
}

async function destroy() {
    // Destroy in reverse order
    const stacks = [
        { name: "application", dir: "./app" },
        { name: "platform", dir: "./platform" },
        { name: "infrastructure", dir: "./infra" },
    ];

    for (const stackInfo of stacks) {
        console.log(`Destroying ${stackInfo.name}...`);

        const stack = await automation.LocalWorkspace.selectStack({
            stackName: "prod",
            workDir: stackInfo.dir,
        });

        await stack.destroy({ onOutput: console.log });
    }
}

Passing Configuration

Set stack configuration programmatically:

const stack = await automation.LocalWorkspace.createOrSelectStack({
    stackName: "dev",
    workDir: "./infrastructure",
});

// Set configuration values
await stack.setConfig("aws:region", { value: "us-west-2" });
await stack.setConfig("dbPassword", { value: "secret", secret: true });

// Then deploy
await stack.up();

Reading Outputs

Access stack outputs after deployment:

const upResult = await stack.
how to use pulumi-automation-api

How to use pulumi-automation-api 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-automation-api
2

Execute installation command

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

$npx skills add https://github.com/pulumi/agent-skills --skill pulumi-automation-api

The skills CLI fetches pulumi-automation-api from GitHub repository pulumi/agent-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-automation-api

Reload or restart Cursor to activate pulumi-automation-api. Access the skill through slash commands (e.g., /pulumi-automation-api) 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

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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

4.530 reviews
  • Layla Ghosh· Dec 4, 2024

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

  • Aisha Gonzalez· Nov 23, 2024

    Registry listing for pulumi-automation-api matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Nov 19, 2024

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

  • Tariq Park· Oct 14, 2024

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

  • Chaitanya Patil· Oct 10, 2024

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

  • Oshnikdeep· Sep 25, 2024

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

  • Layla Rahman· Sep 25, 2024

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

  • Hassan Martinez· Sep 5, 2024

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

  • Advait Sharma· Aug 24, 2024

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

  • Ganesh Mohane· Aug 16, 2024

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

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