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Backend Architect

Checked
k1lgor·vlatest·backend·MIT

Designs scalable, resilient, and efficient backend architectures using proven patterns and modern technologies.

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 k1lgor/virtual-company --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

k1lgor

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 k1lgor/virtual-company at 394eeac958.

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

Commit
394eeac958
Manifest
skills/13-backend-architect/SKILL.md
Scanned
1 file, 298 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 robust, scalable backend systems. It can generate architectural diagrams, suggest appropriate technologies based on project requirements, and provide detailed specifications for backend components. The agent leverages its knowledge of various programming languages, frameworks, and cloud platforms to create efficient and maintainable backend solutions.

When to use it

  • New Project Initialization: When starting a new software project requiring a backend infrastructure.
  • System Redesign: To overhaul an existing backend system for improved performance or scalability.
  • Technology Selection: For guidance on choosing the best technologies (databases, frameworks, cloud services) for a specific use case.
  • Architecture Documentation: To automatically generate architectural diagrams and documentation for technical teams.

Key capabilities

  • Architectural Diagram Generation
  • Technology Recommendation
  • Backend Component Specification
  • Scalability Planning
  • Cloud Platform Integration

Example prompts

  • "Design a backend architecture for an e-commerce platform using Python and AWS."
  • "Suggest technologies for building a real-time chat application with high concurrency."
  • "Create a detailed specification for the user authentication service in our microservices architecture."

Tips & gotchas

The agent’s recommendations are based on current best practices; always review and adapt them to your specific project constraints. Providing clear requirements upfront will lead to more accurate and useful architectural designs.