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Backend Development

Checked
aaaaqwq·vlatest·backend·MIT

Builds, deploys, and maintains robust server-side applications using Python, Node.js, and cloud technologies.

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 aaaaqwq/agi-super-team --skill backend-development -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

aaaaqwq

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 aaaaqwq/agi-super-team at 331ecd3c1d.

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

Scanned
1 file, 430 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 perform backend development tasks, including writing server-side code, designing database schemas, and implementing API integrations. It supports full-stack logic creation for robust application infrastructure.

When to use it

  • Building new server-side features or microservices from scratch.
  • Refactoring existing backend codebases for improved performance or security.
  • Generating database migrations and schema definitions for data persistence.
  • Creating RESTful or GraphQL APIs to connect frontend interfaces with data layers.

Key capabilities

  • Writing server-side code in various programming languages.
  • Designing and implementing database schemas.
  • Integrating third-party services and external APIs.
  • Managing authentication, authorization, and session logic.
  • Optimizing backend performance and scalability.

Example prompts

  • "Create a Node.js Express API endpoint that accepts user registration data and stores it in a PostgreSQL database."
  • "Design a database schema for an e-commerce platform with users, products, and orders."
  • "Write a Python script using FastAPI to process incoming webhooks from Stripe and update internal order status."

Tips & gotchas

Ensure your AI agent has access to necessary environment variables (e.g., database credentials) before executing backend tasks. Always review generated code for security vulnerabilities, especially when handling sensitive data or authentication logic.