Django Models
CheckedDefines database structures for your Django application using models, streamlining data management and ensuring consistency.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add waldencui/claude-code-django --skill django-models -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
kjnez
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.
Automated safety checks
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 kjnez/claude-code-django at ef057aafe8.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- ef057aafe8
- Scanned
- 1 file, 140 lines
About this skill
What it does
This skill allows an AI agent to interact with and manipulate Django models. It enables querying databases, creating new model instances, updating existing data, and performing other common database operations within a Django project. The agent can leverage this skill for tasks like generating reports or automating data entry processes.
When to use it
- Generating a list of all active users in a Django application.
- Creating a new blog post with specific title and content.
- Updating the status of an order from "pending" to "shipped."
- Retrieving product details based on a given product ID.
Key capabilities
- Querying Django models using various filters and aggregations.
- Creating new model instances programmatically.
- Updating existing data within Django models.
- Performing database operations through the Django ORM.
Example prompts
- "Find all products with a price greater than $50."
- "Create a new user with username 'newuser' and email '[email protected]'."
- "Update the status of order ID 123 to 'delivered'."
Tips & gotchas
The agent needs access to a Django project environment where the models are defined for this skill to function correctly. Ensure that the necessary database connections and permissions are configured properly within the Django settings.