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Gcp Development

Checked
mindrally·vlatest·cloud·Apache-2.0

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 mindrally/skills --skill gcp-development -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

mindrally

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 mindrally/skills at 7682ca7771.

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

Commit
7682ca7771
Manifest
gcp-development/SKILL.md
Scanned
1 file, 316 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 interact directly with Google Cloud Platform (GCP) environments, allowing them to manage resources and execute development tasks within the cloud infrastructure. It bridges the gap between natural language commands and GCP APIs for streamlined operations.

When to use it

  • Automating routine deployment pipelines on Google Cloud Run or App Engine.
  • Provisioning new compute instances or storage buckets without manual console access.
  • Retrieving real-time monitoring data or logs from GCP services like Cloud Logging.
  • Managing IAM roles and permissions for cloud resources programmatically.

Key capabilities

  • Direct interaction with GCP APIs via natural language instructions.
  • Resource lifecycle management (create, update, delete).
  • Integration with core GCP services including Compute Engine, Cloud Storage, and Kubernetes Engine.
  • Execution of development workflows specific to the Google Cloud ecosystem.

Example prompts

  • "Create a new Cloud Run service named 'api-gateway' in the us-central1 region."
  • "List all active virtual machine instances and their current CPU utilization."
  • "Deploy my latest Docker container image to the existing GKE cluster."

Tips & gotchas

Ensure your AI agent has appropriate OAuth credentials or service account keys with necessary permissions before attempting resource modifications. This skill is specific to Google Cloud; tasks involving AWS or Azure require different specialized skills.