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Django Pro

Checked
rmyndharis·vlatest·backend·MIT

Django Pro streamlines backend development by providing pre-built components & optimized configurations for rapid Django project setup and deployment.

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 rmyndharis/antigravity-skills --skill django-pro -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

rmyndharis

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 rmyndharis/antigravity-skills at 3eff4af253.

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

Scanned
1 file, 180 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 advanced Django development capabilities to AI agents. It enables automated generation of complex Django projects, including models, views, and templates, significantly accelerating backend development workflows. The skill streamlines common tasks like database migrations and API endpoint creation.

When to use it

  • Rapid prototyping: Quickly generate a basic Django application for testing ideas or demonstrating functionality.
  • Backend development automation: Automate repetitive tasks in Django project setup and maintenance.
  • API creation: Generate RESTful APIs with minimal manual coding effort.
  • Database-driven applications: Build applications that require complex data models and database interactions.

Key capabilities

  • Automated Django project generation
  • Model, view, and template creation
  • REST API endpoint generation
  • Database migration management

Example prompts

  • "Create a Django project with a 'blog' app containing models for Post and Comment."
  • "Generate a REST API endpoint for retrieving all blog posts."
  • "Automate the database migrations for my Django project."

Tips & gotchas

This skill requires a basic understanding of Django concepts. While it automates many tasks, familiarity with Django's structure will help in troubleshooting and customizing generated code.