pulumi-arm-to-pulumi

pulumi/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/pulumi/agent-skills --skill pulumi-arm-to-pulumi
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summary

Convert ARM templates, Bicep, or existing Azure resources to Pulumi infrastructure code.

  • Handles complete ARM template conversion to Pulumi (TypeScript, Python, Go, C#, Java, or YAML) with support for parameters, variables, loops, conditionals, and nested templates
  • Supports both azure-native (full API coverage) and azure (classic, simplified) providers; automatically selects the right provider for each resource
  • Imports existing deployed Azure resources into Pulumi with zero-diff vali
skill.md

IMPORTANT: PLAN ADJUSTMENT REQUIRED

If you have already generated a migration plan before loading this skill, you MUST:

  1. Review your existing plan against the workflows and requirements in this skill
  2. Identify any gaps, missing steps, or incorrect assumptions
  3. Update and revise your plan to align with this skill's guidance
  4. Communicate the adjusted plan to the user before proceeding

CRITICAL SUCCESS REQUIREMENTS

The migration output MUST meet all of the following:

  1. Complete Resource Coverage

    • Every ARM template resource MUST:
      • Be represented in the Pulumi program OR
      • Be explicitly justified in the final report.
  2. Successful Deployment

    • The produced Pulumi program must be structurally valid and capable of a successful pulumi preview (assuming proper config).
  3. Zero-Diff Import Validation (if importing existing resources)

    • After import, pulumi preview must show:
      • NO updates
      • NO replaces
      • NO creates
      • NO deletes
    • Any diffs must be resolved using the Preview Resolution Workflow. See arm-import.md.
  4. Final Migration Report

    • Always output a formal migration report suitable for a Pull Request.
    • Include:
      • ARM → Pulumi resource mapping
      • Provider decisions (azure-native vs azure)
      • Behavioral differences
      • Missing or manually required steps
      • Validation instructions

WHEN INFORMATION IS MISSING

If a user-provided ARM template is incomplete, ambiguous, or missing artifacts, ask targeted questions before generating Pulumi code.

If there is ambiguity on how to handle a specific resource property on import, ask targeted questions before altering Pulumi code.

MIGRATION WORKFLOW

Follow this workflow exactly and in this order:

1. INFORMATION GATHERING

1.1 Verify Azure Credentials

Running Azure CLI commands (e.g., az resource list, az resource show). Requires initial login using ESC and az login

  • If the user has already provided an ESC environment, use it.
  • If no ESC environment is specified, ask the user which ESC environment to use before proceeding with Azure CLI commands.

Setting up Azure CLI using ESC:

  • ESC environments can provide Azure credentials through environment variables or Azure CLI configuration
  • Login to Azure using ESC to provide credentials, e.g: pulumi env run {org}/{project}/{environment} -- bash -c 'az login --service-principal -u "$ARM_CLIENT_ID" --tenant "$ARM_TENANT_ID" --federated-token "$ARM_OIDC_TOKEN"'. ESC is not required after establishing the session
  • Verify credentials are working: az account show
  • Confirm subscription: az account list --query "[].{Name:name, SubscriptionId:id, IsDefault:isDefault}" -o table

For detailed ESC information: Load the pulumi-esc skill by calling the tool "Skill" with name = "pulumi-esc"

1.2 Analyze ARM Template Structure

ARM templates do not have the concept of "stacks" like CloudFormation. Read the ARM template JSON file directly:

# View template structure
cat template.json | jq '.resources[] | {type: .type, name: .name}'

# View parameters
cat template.json | jq '.parameters'

# View variables
cat template.json | jq '.variables'

Extract:

  • Resource types and names
  • Parameters and their default values
  • Variables and expressions
  • Dependencies (dependsOn arrays)
  • Nested templates or linked templates
  • Copy loops (iteration constructs)
  • Conditional deployments (condition property)

Documentation: ARM Template Structure

1.3 Build Resource Inventory (if importing existing resources)

If the ARM template has already been deployed and you're importing existing resources:

# List all resources in a resource group
az resource list \
  --resource-group <resource-group-name> \
  --output json

# Get specific resource details
az resource show \
  --ids <resource-id> \
  --output json

# Query specific properties using JMESPath
az resource show \
  --ids <resource-id> \
  --query "{name:name, location:location, properties:properties}" \
  --output json

Documentation: Azure CLI Documentation

2. CODE CONVERSION (ARM → PULUMI)

IMPORTANT: ARM to Pulumi conversion requires manual translation. There is NO automated conversion tool for ARM templates. You are responsible for the complete conversion.

Key Conversion Principles

  1. Provider Strategy:

    • Default: Use @pulumi/azure-native for full Azure Resource Manager API coverage
    • Fallback: Use @pulumi/azure (classic provider) when azure-native doesn't support specific features or when you need simplified abstractions

    Documentation:

  2. Language Support:

    • TypeScript/JavaScript: Most common, excellent IDE support
    • Python: Great for data teams and ML workflows
    • C#: Natural fit for .NET teams
    • Go: High performance, strong typing
    • Java: Enterprise Java teams
    • YAML: Simple declarative approach
    • Choose based on user preference or existing codebase
  3. Complete Coverage:

    • Convert ALL resources in the ARM template
    • Preserve all conditionals, loops, and dependencies
    • Maintain parameter and variable logic

Follow conversion patterns in arm-conversion-patterns.md.

arm-conversion-patterns.md provides:

  • Parameters, variables, and outputs mapping
  • Copy loops, conditionals, and dependsOn translation
  • Nested templates → ComponentResource
  • Azure Classic provider examples (VNet, App Service)
  • TypeScript output handling and common pitfalls

3. RESOURCE IMPORT (EXISTING RESOURCES) - OPTIONAL

After conversion, you can optionally import existing resources to be managed by Pulumi. If the user does not request this, suggest it as a follow-up step to conversion.

CRITICAL: When the user requests importing existing Azure resources into Pulumi, see arm-import.md for detailed import procedures and zero-diff validation workflows.

arm-import.md provides:

  • Inline import ID patterns and examples
  • Azure Resource ID format conventions
  • Child resource handling (e.g., WebAppApplicationSettings)
  • Preview Resolution Workflow for achieving zero-diff after import
  • Step-by-step debugging for property conflicts

Key Import Principles

  1. Inline Import Approach:

    • Use import resource option with Azure Resource IDs
    • No separate import tool (unlike pulumi-cdk-importer)
  2. Azure Resource IDs:

    • Follow predictable pattern: /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
    • Can be generated by convention or queried via Azure CLI
  3. Zero-Diff Validation:

    • Run pulumi preview after import
    • Resolve all diffs using Preview Resolution Workflow
    • Goal: NO updates, replaces, creates, or deletes

4. PULUMI CONFIGURATION

Set up stack configuration matching ARM template parameters:

# Set Azure region
pulumi config set azure-native:location eastus --stack dev

# Set application parameters
pulumi config set storageAccountName mystorageaccount --stack dev

# Set secret parameters
pulumi config set --secret adminPassword MyS3cr3tP@ssw0rd --stack dev

5. VALIDATION

After achieving zero diff in preview (if importing), validate the migration:

  1. Review all exports:

    pulumi stack output
    
  2. Verify resource relationships:

    pulumi stack graph
    
  3. Test application functionality (if applicable)

  4. Document any manual steps required post-migration

WORKING WITH THE USER

If the user asks for help planning or performing an ARM to Pulumi migration, use the information above to guide the user through the conversion and import process.

FOR DETAILED DOCUMENTATION

When the user wants additional information, use the web-fetch tool to get content from the official Pulumi documentation:

Microsoft Azure Documentation:

OUTPUT FORMAT (REQUIRED)

When performing a migration, always produce:

  1. Overview (high-level description)
  2. Migration Plan Summary
    • ARM template resources identified
    • Conversion strategy (language, providers)
    • Import approach (if applicable)
  3. Pulumi Code Outputs (organized by file)
    • Main program file
    • Component resources (if any)
    • Configuration instructions
  4. Resource Mapping Table (ARM → Pulumi)
    • ARM resource type → Pulumi resource type
    • ARM resource name → Pulumi logical name
    • Import ID (if importing)
  5. Preview Resolution Notes (if importing)
    • Diffs encountered
    • Resolution strategy applied
    • Properties ignored vs. added
  6. Final Migration Report (PR-ready)
    • Summary of changes
    • Testing instructions
    • Known limitations
    • Next steps
  7. Configuration Setup
    • Required config values
    • Example pulumi config set commands

Keep code syntactically valid and clearly separated by files.

how to use pulumi-arm-to-pulumi

How to use pulumi-arm-to-pulumi 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-arm-to-pulumi
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-arm-to-pulumi

The skills CLI fetches pulumi-arm-to-pulumi 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-arm-to-pulumi

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

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.469 reviews
  • James Wang· Dec 24, 2024

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

  • Soo Ndlovu· Dec 20, 2024

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

  • Omar Perez· Dec 16, 2024

    We added pulumi-arm-to-pulumi from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ren Bansal· Dec 16, 2024

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

  • Neel Rao· Dec 12, 2024

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

  • Isabella Torres· Nov 27, 2024

    We added pulumi-arm-to-pulumi from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ren Malhotra· Nov 15, 2024

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

  • Neel Nasser· Nov 15, 2024

    We added pulumi-arm-to-pulumi from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Nia Thompson· Nov 11, 2024

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

  • Mei Chawla· Nov 7, 2024

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

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