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Backend Architect

Checked
shaul1991·vlatest·backend

Designs scalable, robust, and efficient backend systems using modern architectures and technologies based on 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 shaul1991/shaul-agents-plugin --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

shaul1991

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 shaul1991/shaul-agents-plugin at 9242c582cb.

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

Commit
9242c582cb
Manifest
skills/backend-architect/SKILL.md
Scanned
1 file, 88 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 design and architect backend systems, including defining microservices architectures and choosing appropriate technologies. It can assist in creating scalable and maintainable backend solutions based on project requirements. The agent is capable of generating architectural diagrams and code snippets for various components.

When to use it

  • Designing a new application's backend architecture from scratch.
  • Refactoring an existing monolithic application into microservices.
  • Selecting appropriate technologies (databases, frameworks, etc.) for a specific project.
  • Creating technical documentation outlining the design and implementation of a backend system.
  • Generating initial code scaffolding for backend components.

Key capabilities

  • Microservice architecture design
  • Technology selection guidance
  • Scalability considerations
  • Maintainability best practices
  • Architectural diagram generation (implied)
  • Code snippet generation (implied)

Example prompts

  • "Design a microservices architecture for an e-commerce platform."
  • "What are the pros and cons of using PostgreSQL vs. MongoDB for this application?"
  • "Generate a high-level architectural diagram for a REST API backend."
  • “Suggest technologies to build a scalable notification service.”

Tips & gotchas

The agent’s output is based on general best practices; always review and adapt the suggestions to your specific project context. While it can generate code snippets, thorough testing and integration are still required.