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Backend Development

Listed
zircote·vlatest·backend·MIT

Automates Python/Django backend development tasks, generating code, tests, and documentation based on specifications.

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 zircote-plugins/agents --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

zircote

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

    • skills/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 zircote/agents at effc939d95.

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

Scanned
12 files, 4,843 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 capabilities related to backend development. It allows AI agents to generate code, debug existing code, and explain complex backend concepts. The specific functionality focuses on server-side logic and data management tasks.

When to use it

  • Generating API endpoints: Quickly create basic REST APIs for a new application or feature.
  • Debugging database queries: Troubleshoot slow or incorrect SQL queries.
  • Understanding existing codebases: Get explanations of unfamiliar backend code snippets.
  • Refactoring legacy systems: Improve the structure and efficiency of older backend applications.

Key capabilities

  • Code generation
  • Debugging assistance
  • Code explanation

Example prompts

  • "Generate a simple Node.js API endpoint for retrieving user data from a database."
  • "Explain this Python code snippet related to Django ORM: [code snippet]"
  • "Debug this SQL query and identify potential performance bottlenecks: [query]"

Tips & gotchas

The skill's effectiveness depends on the clarity and specificity of your prompts. Providing context, such as the programming language or framework being used, will improve results.