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Backend Developer

Listed
neversight·vlatest·backend

Builds robust, scalable backend systems using Python, Django/Flask, and cloud technologies based on your specifications.

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 neversight/learn-skills.dev --skill backend-developer -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

neversight

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 neversight/skills_feed at 58220bbac4.

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

Commit
58220bbac4
Manifest
data/skills-md/404kidwiz/claude-supercode-skills/backend-developer/SKILL.md
Scanned
0 files
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 tasks related to backend development. It allows them to generate code, debug existing code, and provide explanations of backend systems. The agent can also assist with architectural design decisions and offer suggestions for improving performance and scalability.

When to use it

  • You need help writing a REST API endpoint in Python using Flask.
  • Your Node.js application has a bug; you want the agent to identify and suggest fixes.
  • You're designing a database schema for a new e-commerce platform and require feedback on its efficiency.
  • You are looking for ways to improve the performance of an existing backend service.

Key capabilities

  • Code generation (Python, Node.js)
  • Debugging assistance
  • Architectural design suggestions
  • Performance optimization advice

Example prompts

  • "Write a Flask API endpoint that returns a list of users from a database."
  • "My Node.js server is crashing; can you help me debug it?"
  • "I'm designing a database for an online store, what are some considerations for scalability?"

Tips & gotchas

The agent’s effectiveness depends on providing clear and specific instructions regarding the desired programming language or framework. It may require additional context about existing codebases to provide accurate suggestions.