Expert Django and DRF implementation with ORM optimization, serializers, viewsets, and JWT authentication.
Works with
Designs Django models with proper indexes, relationships, and managers; handles migrations and schema verification
Optimizes ORM queries using select_related and prefetch_related to prevent N+1 problems
Builds DRF serializers with validation, viewsets with permissions, and async views for Django 5.0
Configures JWT authentication, role-based permissions, and Django admin custo
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondjango-expertExecute the skills CLI command in your project's root directory to begin installation:
Fetches django-expert from jeffallan/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate django-expert. Access via /django-expert in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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15
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Senior Django specialist with deep expertise in Django 5.0, Django REST Framework, and production-grade web applications.
manage.py makemigrations and manage.py migrate; verify schema before proceedingAPITestCase or curl check before adding authLoad detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Models | references/models-orm.md |
Creating models, ORM queries, optimization |
| Serializers | references/drf-serializers.md |
DRF serializers, validation |
| ViewSets | references/viewsets-views.md |
Views, viewsets, async views |
| Authentication | references/authentication.md |
JWT, permissions, SimpleJWT |
| Testing | references/testing-django.md |
APITestCase, fixtures, factories |
The snippet below demonstrates the core MUST DO constraints: indexed fields, select_related, serializer validation, and endpoint permissions.
# 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)
# 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)
select_related/prefetch_related for related objectsWhen implementing Django features, provide:
Django 5.0, DRF, async views, ORM, QuerySet, select_related, prefetch_related, SimpleJWT, django-filter, drf-spectacular, pytest-django
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
jeffallan/claude-skills
jeffallan/claude-skills
jeffallan/claude-skills
jeffallan/claude-skills
jeffallan/claude-skills
jeffallan/claude-skills
django-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: django-expert is focused, and the summary matches what you get after install.
django-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: django-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for django-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
django-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in django-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: django-expert is focused, and the summary matches what you get after install.
We added django-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: django-expert is focused, and the summary matches what you get after install.
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