Master Django REST Framework for building robust, scalable RESTful
Works with
APIs with proper serialization and authentication.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondjango-rest-frameworkExecute the skills CLI command in your project's root directory to begin installation:
Fetches django-rest-framework from thebushidocollective/han 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-rest-framework. Access via /django-rest-framework 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.
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Accelerate learning and skill development by 2x
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Improve work quality by 30-40% with less effort
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Master Django REST Framework for building robust, scalable RESTful APIs with proper serialization and authentication.
Build type-safe data serialization with Django REST Framework serializers.
from rest_framework import serializers
from django.contrib.auth.models import User
class UserSerializer(serializers.ModelSerializer):
post_count = serializers.IntegerField(read_only=True)
full_name = serializers.SerializerMethodField()
class Meta:
model = User
fields = ['id', 'email', 'name', 'post_count', 'full_name']
read_only_fields = ['id', 'created_at']
extra_kwargs = {
'email': {'required': True},
'password': {'write_only': True}
}
def get_full_name(self, obj):
return f"{obj.first_name} {obj.last_name}"
class PostSerializer(serializers.ModelSerializer):
author = UserSerializer(read_only=True)
author_id = serializers.IntegerField(write_only=True)
class Meta:
model = Post
fields = '__all__'
def validate_title(self, value):
if len(value) < 5:
raise serializers.ValidationError('Title must be at least 5 characters')
return value
def validate(self, data):
if data.get('published') and not data.get('content'):
raise serializers.ValidationError('Published posts must have content')
return data
def create(self, validated_data):
# Custom creation logic
post = Post.objects.create(**validated_data)
# Send notification, etc.
return post
Create custom serializer fields for complex data types.
from rest_framework import serializers
class Base64ImageField(serializers.ImageField):
"""Handle base64 encoded images."""
def to_internal_value(self, data):
import base64
from django.core.files.base import ContentFile
if isinstance(data, str) and data.startswith('data:image'):
format, imgstr = data.split(';base64,')
ext = format.split('/')[-1]
data = ContentFile(base64.b64decode(imgstr), name=f'temp.{ext}')
return super().to_internal_value(data)
class PostSerializer(serializers.ModelSerializer):
image = Base64ImageField(required=False)
class Meta:
model = Post
fields = ['id', 'title', 'image']
# Custom validators
def validate_no_profanity(value):
profanity_words = ['bad', 'worse']
if any(word in value.lower() for word in profanity_words):
raise serializers.ValidationError('Content contains profanity')
return value
class CommentSerializer(serializers.ModelSerializer):
content = serializers.CharField(validators=[validate_no_profanity])
class Meta:
model = Comment
fields = ['id', 'content', 'created_at']
Handle complex nested relationships.
class CommentSerializer(serializers.ModelSerializer):
author = UserSerializer(read_only=True)
class Meta:
model = Comment
fields = ['id', 'content', 'author', 'created_at']
class PostSerializer(serializers.ModelSerializer):
author = UserSerializer(read_only=True)
comments = CommentSerializer(many=True, read_only=True)
class Meta:
model = Post
fields = ['id', 'title', 'content', 'author', 'comments']
# Writable nested serializers
class PostCreateSerializer(serializers.ModelSerializer):
comments = CommentSerializer(many=True, required=False)
class Meta:
model = Post
fields = ['id', 'title', 'content', 'comments']
def create(self, validated_data):
comments_data = validated_data.pop('comments', [])
post = Post.objects.create(**validated_data)
for comment_data in comments_data:
Comment.objects.create(post=post, **comment_data)
return post
# Dynamic nested serialization
class PostSerializer(serializersPrerequisites
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.
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Keeps context tight: django-rest-framework is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: django-rest-framework is the kind of skill you can hand to a new teammate without a long onboarding doc.
django-rest-framework has been reliable in day-to-day use. Documentation quality is above average for community skills.
django-rest-framework fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for django-rest-framework matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for django-rest-framework matched our evaluation — installs cleanly and behaves as described in the markdown.
django-rest-framework reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added django-rest-framework from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
django-rest-framework reduced setup friction for our internal harness; good balance of opinion and flexibility.
django-rest-framework has been reliable in day-to-day use. Documentation quality is above average for community skills.
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