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Gcloud Cli

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oimiragieo·vlatest·cloud

Executes Google Cloud commands via the `gcloud` CLI, streamlining infrastructure management and automation tasks for developers.

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 oimiragieo/agent-studio --skill gcloud-cli -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

oimiragieo

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.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

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Not scanned. none of the 73 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as oimiragieo/agent-studio.
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About this skill

gcloud-cli

What it does

This skill enables AI agents to interact directly with Google Cloud Platform resources via the gcloud command-line interface. It allows agents to manage cloud infrastructure, deploy applications, and execute administrative tasks programmatically without manual intervention.

When to use it

  • Automating the provisioning of Compute Engine instances or Cloud Storage buckets for new projects.
  • Deploying containerized applications to Google Kubernetes Engine (GKE) clusters.
  • Managing IAM permissions and service account configurations to secure cloud resources.
  • Running batch scripts to monitor resource usage or perform routine maintenance tasks across multiple environments.

Key capabilities

  • Direct execution of gcloud CLI commands within the agent's environment.
  • Authentication handling for Google Cloud accounts and projects.
  • Resource management across various GCP services including Compute, Storage, and Kubernetes.
  • Scripting support for complex, multi-step cloud operations.

Example prompts

  • "Provision a new virtual machine instance in the us-central1 region with 4 vCPUs and 8GB of RAM."
  • "Create a new Cloud Storage bucket named 'project-backups' with versioning enabled and public access disabled."
  • "List all active Kubernetes clusters in my current project and show their status."

Tips & gotchas

Ensure the AI agent has valid authentication credentials (such as service account keys or OAuth tokens) configured before attempting to execute commands. Be cautious when granting broad permissions, as misconfigured IAM roles can lead to unintended access or data loss within your Google Cloud environment.