pulumi-automation-api▌
pulumi/agent-skills · updated Apr 8, 2026
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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
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 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-automation-api
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches pulumi-automation-api from GitHub repository pulumi/agent-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-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
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★★★★★30 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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