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Pulumi Python

Checked
dirien·vlatest·cloud·MIT

Automates infrastructure provisioning and management using Pulumi's Python SDK for declarative cloud deployments.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add dirien/claude-skills --skill pulumi-python -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

dirien

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned dirien/claude-skills at 22aaf94d59.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
8 files, 2,174 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The pulumi-python skill allows AI agents to provision and manage cloud infrastructure using Pulumi with Python. It enables defining, deploying, and updating resources across various cloud providers like AWS, Azure, and Google Cloud Platform through code. This facilitates Infrastructure as Code (IaC) practices for consistent and repeatable deployments.

When to use it

  • Automated Infrastructure Provisioning: Automatically create virtual machines, databases, or networking components in a cloud environment based on defined configurations.
  • Infrastructure Updates & Rollbacks: Modify existing infrastructure safely and predictably, with the ability to easily revert changes if needed.
  • Consistent Environments: Ensure identical development, testing, and production environments by deploying code rather than manually configuring resources.
  • Cloud Resource Management: Manage a complex cloud architecture as code, simplifying maintenance and reducing errors.

Key capabilities

  • Pulumi Python SDK integration
  • Resource definition using Python code
  • Infrastructure deployment across multiple cloud providers (AWS, Azure, GCP)
  • State management for tracking infrastructure changes

Example prompts

  • "Create a new AWS S3 bucket named 'my-data-bucket' with versioning enabled."
  • "Deploy the Kubernetes manifest located at deployments/my_app.yaml to my Google Cloud cluster."
  • "Update the size of my Azure virtual machine to standard_b2s."

Tips & gotchas

  • Requires familiarity with Pulumi and Python programming concepts.
  • Ensure the agent has appropriate cloud provider credentials configured for authentication.