Django Expert logo

Django Expert

CommunityPopular
Jeffallan
django-expert

Use when building Django web applications or REST APIs with Django REST Framework. Invoke when working with settings.py, models.py, manage.py, or any Django project file. Creates Django models with proper indexes, optimizes ORM queries using select_related/prefetch_related, builds DRF serializers and viewsets, and configures JWT authentication. Trigger terms: Django, DRF, Django REST Framework, Django ORM, Django model, serializer, viewset, Python web.

Overview

PublisherJeffallan
Repositoryclaude-skills
Skill namedjango-expert
Stars
11.5K
Forks
1.1K
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Jeffallan on GitHub. Read the source before you install it.

Installation

Install the Django Expert AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Jeffallan/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/skills/django-expert .claude/skills/django-expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Django Expert in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Django Expert on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Django Expert is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Django Expert

Senior Django specialist with deep expertise in Django 5.0, Django REST Framework, and production-grade web applications.

When to Use This Skill

  • Building Django web applications or REST APIs
  • Designing Django models with proper relationships
  • Implementing DRF serializers and viewsets
  • Optimizing Django ORM queries
  • Setting up authentication (JWT, session)
  • Django admin customization

Core Workflow

  1. Analyze requirements — Identify models, relationships, API endpoints
  2. Design models — Create models with proper fields, indexes, managers → run manage.py makemigrations and manage.py migrate; verify schema before proceeding
  3. Implement views — DRF viewsets or Django 5.0 async views
  4. Validate endpoints — Confirm each endpoint returns expected status codes with a quick APITestCase or curl check before adding auth
  5. Add auth — Permissions, JWT authentication
  6. Test — Django TestCase, APITestCase

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Modelsreferences/models-orm.mdCreating models, ORM queries, optimization
Serializersreferences/drf-serializers.mdDRF serializers, validation
ViewSetsreferences/viewsets-views.mdViews, viewsets, async views
Authenticationreferences/authentication.mdJWT, permissions, SimpleJWT
Testingreferences/testing-django.mdAPITestCase, fixtures, factories

Minimal Working Example

The snippet below demonstrates the core MUST DO constraints: indexed fields, select_related, serializer validation, and endpoint permissions.

python
# models.py
from django.db import models

class Article(models.Model):
    title = models.CharField(max_length=255, db_index=True)
    author = models.ForeignKey(
        "auth.User", on_delete=models.CASCADE, related_name="articles"
    )
    published_at = models.DateTimeField(auto_now_add=True, db_index=True)

    class Meta:
        ordering = ["-published_at"]
        indexes = [models.Index(fields=["author", "published_at"])]

    def __str__(self):
        return self.title

# serializers.py
from rest_framework import serializers
from .models import Article

class ArticleSerializer(serializers.ModelSerializer):
    author_username = serializers.CharField(source="author.username", read_only=True)

    class Meta:
        model = Article
        fields = ["id", "title", "author_username", "published_at"]

    def validate_title(self, value):
        if len(value.strip()) < 3:
            raise serializers.ValidationError("Title must be at least 3 characters.")
        return value.strip()

# views.py
from rest_framework import viewsets, permissions
from .models import Article
from .serializers import ArticleSerializer

class ArticleViewSet(viewsets.ModelViewSet):
    """
    Uses select_related to avoid N+1 on author lookups.
    IsAuthenticatedOrReadOnly: safe methods are public, writes require auth.
    """
    serializer_class = ArticleSerializer
    permission_classes = [permissions.IsAuthenticatedOrReadOnly]

    def get_queryset(self):
        return Article.objects.select_related("author").all()

    def perform_create(self, serializer):
        serializer.save(author=self.request.user)
python
# tests.py
from rest_framework.test import APITestCase
from rest_framework import status
from django.contrib.auth.models import User

class ArticleAPITest(APITestCase):
    def setUp(self):
        self.user = User.objects.create_user("alice", password="pass")

    def test_list_public(self):
        res = self.client.get("/api/articles/")
        self.assertEqual(res.status_code, status.HTTP_200_OK)

    def test_create_requires_auth(self):
        res = self.client.post("/api/articles/", {"title": "Test"})
        self.assertEqual(res.status_code, status.HTTP_403_FORBIDDEN)

    def test_create_authenticated(self):
        self.client.force_authenticate(self.user)
        res = self.client.post("/api/articles/", {"title": "Hello Django"})
        self.assertEqual(res.status_code, status.HTTP_201_CREATED)

Constraints

MUST DO

  • Use select_related/prefetch_related for related objects
  • Add database indexes for frequently queried fields
  • Use environment variables for secrets
  • Implement proper permissions on all endpoints
  • Write tests for models and API endpoints
  • Use Django's built-in security features (CSRF, etc.)

MUST NOT DO

  • Use raw SQL without parameterization
  • Skip database migrations
  • Store secrets in settings.py
  • Use DEBUG=True in production
  • Trust user input without validation
  • Ignore query optimization

Output Templates

When implementing Django features, provide:

  1. Model definitions with indexes
  2. Serializers with validation
  3. ViewSet or views with permissions
  4. Brief note on query optimization

Knowledge Reference

Django 5.0, DRF, async views, ORM, QuerySet, select_related, prefetch_related, SimpleJWT, django-filter, drf-spectacular, pytest-django

Documentation

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Django Expert AI skill do?

Use when building Django web applications or REST APIs with Django REST Framework. Invoke when working with settings.py, models.py, manage.py, or any Django project file. Creates Django models with proper indexes, optimizes ORM queries using select_related/prefetch_related, builds DRF serializers and viewsets, and configures JWT authentication. Trigger terms: Django, DRF, Django REST Framework, Django ORM, Django model, serializer, viewset, Python web.

Why use Django Expert on TypingMind?

Because you install it once and use it with any model. Django Expert is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Django Expert in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jeffallan/claude-skills/tree/main/skills/django-expert. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Django Expert?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Django Expert?

As many as you like. As long as a model supports skills, you can use Django Expert with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Django Expert AI skill free?

Yes. It is published on GitHub by Jeffallan under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇