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Backend Development

Listed
duonglx·vlatest·backend

Develops robust, scalable backend solutions using Python/Django, focusing on API design, database management, and server logic.

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 duonglx/chanmayfoods --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

duonglx

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.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: 192.168.1.10.

    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.

    Hosts contacted

    192.168.1.10undeclared

    What it found

    • .claude/skills/backend-development/references/backend-architecture.md:151contacts 192.168.1.10
      http: 'http://192.168.1.10:3000/health',
    • .opencode/skill/backend-development/references/backend-architecture.md:151contacts 192.168.1.10
      http: 'http://192.168.1.10:3000/health',

  • 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 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 duonglx/chanmayfoods at cae303c31b.

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

Commit
cae303c31b
Manifest
.claude/skills/backend-development/SKILL.md
Scanned
24 files, 9,668 lines
Copies in repo
2 — all of them scanned
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. It facilitates building and maintaining server-side logic, databases, and APIs. The agent can assist with code generation, debugging, and deployment processes related to backend systems.

When to use it

  • API Development: Generate API endpoints for a new mobile application feature.
  • Database Management: Create or modify database schemas based on evolving data requirements.
  • Backend Debugging: Identify and fix errors in existing server-side code.
  • Automated Deployment: Automate the deployment of backend applications to staging or production environments.

Key capabilities

  • Code generation for backend systems
  • Database schema creation and modification
  • API endpoint development
  • Backend debugging assistance
  • Deployment automation

Example prompts

  • "Generate a Node.js API endpoint for retrieving user data."
  • "Create a PostgreSQL database table to store product information with columns for name, price, and description."
  • "Debug this Python code snippet: [code]"
  • "Automate the deployment of my backend application to AWS Elastic Beanstalk."

Tips & gotchas

The agent's effectiveness depends on providing clear specifications and context regarding the desired backend functionality. Ensure you have sufficient access credentials configured for any cloud deployments.