pulumi-esc

pulumi/agent-skills · updated Apr 8, 2026

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

Centralized secrets, configuration, and dynamic credentials management for Pulumi infrastructure and applications.

  • Supports environment composition through imports and layering, with reserved keys for environmentVariables , pulumiConfig , and files
  • Generates short-term credentials via OIDC for AWS, Azure, and GCP; integrates with AWS Secrets Manager, Azure Key Vault, HashiCorp Vault, and 1Password
  • Core CLI commands include pulumi env init , pulumi env edit , pulumi env open (reveals
skill.md

Pulumi ESC (Environments, Secrets, and Configuration)

Pulumi ESC is a centralized service for managing environments, secrets, and configuration across cloud infrastructure and applications.

What is ESC?

ESC enables teams to:

  • Centralize secrets and configuration in one secure location
  • Compose environments by importing and layering configuration
  • Generate dynamic credentials via OIDC for AWS, Azure, GCP
  • Integrate external secret stores (AWS Secrets Manager, Azure Key Vault, Vault, 1Password)
  • Version and audit all configuration changes
  • Control access with fine-grained RBAC

Essential CLI Commands

# Create a new environment
pulumi env init <org>/<project-name>/<environment-name>

# Edit environment (opens in editor)
pulumi env edit <org>/<project-name>/<environment-name>

# Set values
pulumi env set <org>/<project-name>/<environment-name> <key> <value>
pulumi env set <org>/<project-name>/<environment-name> <key> <value> --secret

# View definition (secrets hidden)
pulumi env get <org>/<project-name>/<environment-name>

# Open and resolve (reveals secrets)
pulumi env open <org>/<project-name>/<environment-name>

# Run command with environment
pulumi env run <org>/<project-name>/<environment-name> -- <command>

# Link to Pulumi stack
pulumi config env add <project-name>/<environment-name>

Key Concepts

Command Distinctions

  • pulumi env get: Shows static definition, secrets appear as [secret]
  • pulumi env open: Resolves and reveals all values including secrets and dynamic credentials
  • pulumi env run: Executes commands with environment variables loaded
  • pulumi config env add: Only takes the / portion

Environment Structure

Environments are YAML documents with reserved top-level keys:

  • imports: Import and compose other environments
  • values: Define configuration and secrets

Reserved sub-keys under values:

  • environmentVariables: Map values to shell environment variables
  • pulumiConfig: Configure Pulumi stack settings
  • files: Generate files with environment data

Basic Example

imports:
  - common/base-config

values:
  environment: production
  region: us-west-2

  dbPassword:
    fn::secret: super-secure-password

  environmentVariables:
    AWS_REGION: ${region}
    DB_PASSWORD: ${dbPassword}

  pulumiConfig:
    aws:region: ${region}
    app:dbPassword: ${dbPassword}

Working with the User

For Simple Questions

If the user asks basic questions like "How do I create an environment?" or "What's the difference between get and open?", answer directly using the information above.

For Detailed Documentation

When users need more information, use the web-fetch tool to get content from the official Pulumi ESC documentation:

Use the web-fetch tool with specific prompts to extract relevant information from these docs.

For Complex Tasks

When helping users:

  1. Understand the goal: Are they setting up new environments, migrating from stack config, or debugging?
  2. Check existing setup: Use pulumi env commands to list environments or read definitions
  3. Fetch relevant documentation: Use the web-fetch to get specific examples or syntax from the official docs
  4. Provide step-by-step guidance: Walk through the process with specific commands
  5. Validate: Help them test with pulumi env get or pulumi preview a. Only use pulumi env open when the full resolved values are needed, but use cautiously as it reveals secrets.

Example: Helping with AWS OIDC Setup

User: "How do I set up AWS OIDC credentials in ESC?"

1. Use the web-fetch tool to get AWS OIDC documentation from "https://www.pulumi.com/docs/esc/integrations/dynamic-login-credentials/aws-login/"
2. Provide the user with the configuration
3. Ask the user if they have a pre-defined role or need one created for them
4. Set up as much of the environment as possible, then guide them through any steps that you can't do for them
5. Help them test with `pulumi env get` or `pulumi env open` if necessary

Common Workflows

Creating an Environment

pulumi env init my-org/my-project/dev-config
# Edit environment (accepts new definition from a file, better for agents, more difficult for users)
pulumi env edit --file /tmp/example.yml my-org/my-project/dev-config

Linking to Stack

pulumi config env add my-project/dev-config
pulumi config  # Verify environment values are accessible

API Access (Rare)

Always prefer CLI commands. Only use the API when absolutely necessary (e.g., bulk operations, automation).

Available API endpoints include:

  • GET /api/esc/environments/{orgName} - List environments
  • GET /api/esc/environments/{orgName}/{projectName}/{envName} - Read environment definition
  • GET /api/esc/providers?orgName={orgName} - List available providers

Use call_pulumi_cloud_api() tool to make requests when needed.

Best Practices

  1. Always use fn::secret for sensitive values
  2. Prefer OIDC over static keys
  3. Use descriptive names like <org>/my-app/production-aws not <org>/app/prod
  4. Layer environments: base → cloud-provider → stack-specific
  5. Verify that pulumi config shows expected values after linking an environment to a stack
  6. Prefer using pulumi env run for commands needing environment variables
  7. Only use pulumi env open when absolutely necessary, as it reveals secrets

Quick Troubleshooting

  • "Environment not found": Check permissions with pulumi env ls -o <org>
  • "Secret decryption failed": Use pulumi env open not pulumi env get
  • "Stack can't read values": Verify pulumi config env ls to ensure the stack is listed.
    • Ensure the environment is referenced only by the project-name/environment-name format.
    • Get the specific environment definition with pulumi env get <org>/<project-name>/<environment-name>.
    • Verify the pulumiConfig key exists and is nested under the values key.
how to use pulumi-esc

How to use pulumi-esc 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-esc
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-esc

The skills CLI fetches pulumi-esc 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-esc

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

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)
  • No comments yet — start the thread.
general reviews

Ratings

4.550 reviews
  • Henry Zhang· Dec 24, 2024

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

  • Pratham Ware· Dec 16, 2024

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

  • James Liu· Dec 8, 2024

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

  • Henry Smith· Dec 4, 2024

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

  • Jin Thompson· Nov 27, 2024

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

  • Hiroshi Patel· Nov 23, 2024

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

  • Hana Yang· Nov 19, 2024

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

  • Yash Thakker· Nov 7, 2024

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

  • Emma Verma· Nov 3, 2024

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

  • Dhruvi Jain· Oct 26, 2024

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

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