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Golang Gin Deploy

Checked
henriqueatila·vlatest·backend·MIT

Helps with Go, deployment 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 henriqueatila/golang-gin-best-practices --skill golang-gin-deploy -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

henriqueatila

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 henriqueatila/golang-gin-best-practices at a11bdc95ed.

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

Scanned
15 files, 1,341 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 the deployment of Go applications built with the Gin web framework. It handles building container images, pushing them to a registry, and deploying them to an environment – streamlining the process for developers. The skill automates infrastructure setup and configuration, reducing manual effort and potential errors in deployments.

When to use it

  • Deploying a new version of a Go/Gin web application to a staging or production environment.
  • Automating the deployment pipeline for continuous integration and continuous delivery (CI/CD).
  • Setting up infrastructure for a Go/Gin microservice as part of a larger system.
  • Reproducing deployments across multiple environments, ensuring consistency.

Key capabilities

  • Container image building
  • Image registry pushing
  • Deployment automation
  • Infrastructure configuration

Example prompts

  • "Deploy the latest version of my Gin application to production."
  • "Build and push a Docker image for my Go/Gin service tagged with 'v1.2.3'."
  • “Automate deployment to Kubernetes using the latest container image.”

Tips & gotchas

This skill requires familiarity with Docker, container registries (like Docker Hub), and potentially cloud platforms or orchestration tools like Kubernetes. Ensure your application is properly configured for containerization before attempting deployment.