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Deploying On Gcp

Checked
ancoleman·vlatest·cloud·MIT

Provides Google Cloud guidance and assistance for deploying and managing cloud infrastructure.

Repository

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 ancoleman/ai-design-components --skill deploying-on-gcp -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

ancoleman

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 ancoleman/ai-design-components at 76551b7b19.

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

Commit
76551b7b19
Manifest
skills/deploying-on-gcp/SKILL.md
Scanned
10 files, 4,832 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 enables AI agents to deploy applications and services onto Google Cloud Platform (GCP). It automates the process of creating necessary resources, configuring settings, and launching your application within a GCP environment. The skill handles tasks such as provisioning virtual machines, setting up networking configurations, and deploying containerized applications using tools like Docker and Kubernetes.

When to use it

  • Automated Application Rollouts: Quickly deploy new versions of an existing application without manual intervention.
  • Infrastructure Provisioning: Set up a complete GCP environment for a new project or service, including virtual machines, databases, and networking components.
  • Containerized Workloads: Deploy Docker containers to Google Kubernetes Engine (GKE) clusters with ease.
  • Scaling Applications: Automatically scale your application's resources based on demand within the GCP infrastructure.

Key capabilities

  • Provisioning of GCP Resources
  • Automated Configuration Management
  • Deployment of Containerized Applications
  • Networking Setup and Management
  • Integration with Google Kubernetes Engine (GKE)

Example prompts

  • "Deploy my Docker image my-app:latest to a GKE cluster named 'production'."
  • "Create a new GCP project called 'project-x' and deploy a virtual machine running Ubuntu."
  • "Configure networking for my application, allowing access from external IP address 1.2.3.4."

Tips & gotchas

  • Requires appropriate GCP credentials configured within the AI agent environment.
  • Familiarity with basic GCP concepts (projects, regions, zones) is helpful for effective use.