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Backend Patterns

Checked
sebas-aikon-intelligence·vlatest·backend·MIT

Helps with backend development, patterns 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 sebas-aikon-intelligence/antigravity-awesome-skills --skill backend-patterns -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

sebas-aikon-intelligence

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 sebas-aikon-intelligence/antigravity-awesome-skills at 0f4a1b2fd7.

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

Scanned
1 file, 552 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 backend patterns for AI agents. It offers reusable architectural blueprints and design approaches to improve the structure, scalability, and maintainability of agent systems. These patterns address common challenges in building robust and efficient AI agent backends.

When to use it

  • When designing a new AI agent architecture from scratch.
  • To refactor an existing agent backend for improved performance or maintainability.
  • For teams seeking standardized approaches to backend development within their AI projects.
  • When needing guidance on integrating different components and services in an AI agent system.

Key capabilities

  • Reusable architectural blueprints
  • Design approaches for scalability
  • Strategies for maintainability
  • Addresses common challenges in building robust backends

Example prompts

  • "Suggest a backend pattern for handling asynchronous task queues in my agent."
  • "What are some design considerations for scaling an AI agent's database?"
  • "Recommend a pattern for managing API integrations within an AI agent backend."

Tips & gotchas

This skill assumes a basic understanding of software architecture and backend development principles. While it provides patterns, adapting them to specific project requirements will still require technical expertise.