Skip to content
TrustedSkillsbeta
Back to all skills

Go Backend Dev

Checked
googlecloudplatform·vlatest·backend·Apache-2.0

Helps with Go, backend development as part of developing backend services and APIs 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 googlecloudplatform/devrel-demos --skill go-backend-dev -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.

Scanned
1 file, 94 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 generate Go backend code. It can create basic server applications, APIs, and data processing pipelines using the Go programming language. The generated code is intended for development purposes and may require further refinement or integration into a larger project.

When to use it

  • Generating boilerplate code for new Go projects.
  • Creating simple API endpoints for testing or prototyping.
  • Automating repetitive coding tasks in Go backend development.
  • Quickly generating data processing scripts using Go.

Key capabilities

  • Go code generation
  • API creation
  • Data pipeline implementation
  • Server application scaffolding

Example prompts

  • "Generate a simple HTTP server in Go that returns 'Hello, World!'"
  • "Create a Go API endpoint for retrieving user data from a database."
  • "Write a Go script to process a CSV file and calculate the average value of a specific column."

Tips & gotchas

The generated code is intended as a starting point and may require adjustments based on your specific project requirements. Ensure you have a basic understanding of Go programming concepts to effectively utilize and modify the generated code.