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Backend Architect

Checked
herdiansah·vlatest·backend

Designs scalable, robust backend systems using Go, PostgreSQL, and Kubernetes based on Herdiansah's architectural expertise.

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 herdiansah/antigravity-skills-master --skill backend-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

herdiansah

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 herdiansah/antigravity-skills-master at f642a05f9c.

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

Scanned
1 file, 310 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 provides expertise in backend architecture, enabling the AI agent to design scalable and robust server-side systems. It can assist with choosing appropriate technologies for a project, designing database schemas, and planning API endpoints. The skill focuses on creating efficient and maintainable backend solutions that meet specific business requirements.

When to use it

  • Designing the backend infrastructure for a new web application.
  • Optimizing an existing backend system for improved performance and scalability.
  • Choosing appropriate technologies (databases, frameworks, etc.) for a project.
  • Planning API endpoints and data models for a mobile app.

Key capabilities

  • Backend architecture design
  • Database schema design
  • API endpoint planning
  • Technology selection

Example prompts

  • "Design the backend architecture for an e-commerce platform, focusing on scalability."
  • "Suggest appropriate database technologies for storing user data and product information."
  • "Plan API endpoints for a mobile app that allows users to view and purchase products."

Tips & gotchas

The skill's effectiveness depends on providing clear requirements and context regarding the project’s goals and constraints. Be specific about performance expectations, security needs, and existing infrastructure.