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Gcp Deploy

Checked
fwfutures·vlatest·cloud·MIT

Helps with Google Cloud, deployment as part of deploying and managing cloud infrastructure workflows.

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 fwfutures/skills --skill gcp-deploy -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

fwfutures

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 fwfutures/skills at f27a9c933d.

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

Scanned
2 files, 133 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

This skill automates deployments to Google Cloud Platform (GCP). It handles tasks such as building container images, pushing them to Container Registry, and updating Kubernetes deployments. The skill streamlines the process of releasing new versions of applications on GCP infrastructure.

When to use it

  • Deploying a new version of an application to a staging environment for testing.
  • Automating the release process after successful code merges.
  • Rolling back to a previous deployment in case of issues.
  • Updating configurations and secrets within your deployed applications on GCP.

Key capabilities

  • Container image building
  • Pushing images to Container Registry
  • Kubernetes deployment updates

Example prompts

  • "Deploy the latest version of my application to the staging environment."
  • "Roll back the Kubernetes deployment to version 1.2.3."
  • “Build and push a new Docker image for my service.”

Tips & gotchas

The skill requires appropriate GCP credentials configured within the AI agent's environment. Ensure these credentials have sufficient permissions to access Container Registry and modify Kubernetes deployments.