Skip to content
TrustedSkillsbeta
Back to all skills

Go Architect

Checked
googlecloudplatform·vlatest·backend·Apache-2.0

Designs initial architectural blueprints for cloud projects based on provided requirements and best practices.

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 googlecloudplatform/devrel-demos --skill go-architect -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

googlecloudplatform

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 googlecloudplatform/devrel-demos at 7040b3c690.

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

Commit
7040b3c690
Manifest
ai-ml/mcp-servers/godoctor/skills/go-architect/SKILL.md
Scanned
1 file, 105 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 go-architect skill allows AI agents to generate Go code based on natural language descriptions. It can create basic program structures and functions, assisting in development tasks. The agent leverages Google Cloud Platform's capabilities for code generation and architectural design.

When to use it

  • Generating boilerplate Go code for new projects or modules.
  • Creating simple command-line tools from textual specifications.
  • Prototyping basic Go program structures quickly.
  • Assisting in the initial setup of Google Cloud Platform applications with Go.

Key capabilities

  • Go code generation
  • Architectural design assistance
  • Integration with Google Cloud Platform

Example prompts

  • "Create a simple Go program that prints 'Hello, world!'"
  • "Generate a function in Go to calculate the factorial of a number."
  • "Write a basic HTTP server in Go using Google Cloud Run."

Tips & gotchas

The skill's effectiveness depends on clear and concise prompts. While it can generate code, thorough testing and review are still required for production-ready applications.