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Backend Design

Checked
nicholasgriffintn·vlatest·backend·Apache-2.0

Helps with backend development, design as part of developing backend services and APIs workflows.

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 nicholasgriffintn/machine-setup --skill backend-design -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

nicholasgriffintn

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 nicholasgriffintn/machine-setup at d06480e9c3.

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

Commit
d06480e9c3
Manifest
ai-tooling/skills/backend-design/SKILL.md
Scanned
1 file, 46 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 assists in designing backend systems, focusing on architecture and implementation details. It can generate code snippets for various backend technologies and provide guidance on system design principles. The tool aims to streamline the process of building robust and scalable backend solutions by automating repetitive tasks and offering expert advice.

When to use it

  • You need help designing the architecture for a new web application or API.
  • You're struggling with choosing the right database technology (e.g., relational vs. NoSQL).
  • You want assistance generating boilerplate code for common backend tasks like authentication or data validation.
  • You are looking to refactor an existing backend system for improved performance and maintainability.

Key capabilities

  • Backend architecture design
  • Code generation (specific technologies not listed)
  • Database technology selection guidance
  • System design principles advice

Example prompts

  • "Design a REST API endpoint for user authentication using Python."
  • "What are the pros and cons of using PostgreSQL versus MongoDB for this application?"
  • "Generate code for data validation in Node.js."
  • "Suggest an architecture for a microservices-based system handling image processing."

Tips & gotchas

The skill's effectiveness depends on providing clear requirements and context regarding the desired backend technology stack. Specificity in your prompts will yield more useful results.