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Go Backend Clean Architecture

Checked
eng0ai·vlatest·backend

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 rebyteai-template/rebyte-skills --skill go-backend-clean-architecture -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

eng0ai

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.

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  • No credential access: passed

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  • No pipe-to-shell installers: passed

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  • Pinned to a commit: passed

    Scanned eng0ai/eng0-template-skills at 0062e44684.

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Scanned
1 file, 56 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.
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About this skill

What it does

This skill enables Go backend agents to generate code strictly adhering to Clean Architecture principles, ensuring high maintainability and separation of concerns. It structures applications into distinct layers—domain, application, interface, and infrastructure—to decouple business logic from external frameworks and databases.

When to use it

  • Building new enterprise-grade Go services requiring long-term scalability.
  • Refactoring legacy monolithic codebases into modular, testable components.
  • Creating projects where business rules must remain independent of database or UI implementations.
  • Developing systems that need rigorous unit testing without external dependencies.

Key capabilities

  • Enforces strict dependency direction: inner layers (domain) have no knowledge of outer layers (infrastructure).
  • Generates repository interfaces in the domain layer, deferring concrete implementation to the infrastructure layer.
  • Structures entities and use cases to isolate core business logic from framework-specific concerns like HTTP or SQL.
  • Organizes project directories to reflect architectural boundaries rather than technical file types.

Example prompts

  • "Generate a Go user service using Clean Architecture with a domain entity, use case, and repository interface."
  • "Refactor this existing Go handler to move business logic into the application layer while keeping the domain pure."
  • "Create a new module for order processing that strictly follows Clean Architecture separation of concerns."

Tips & gotchas

Ensure your agent understands that interfaces defined in inner layers must be implemented by outer layers; reversing this breaks the architecture. This approach increases initial setup complexity compared to standard MVC patterns, so it is best suited for projects prioritizing long-term structural integrity over rapid prototyping.