django-rest-framework

Master Django REST Framework for building robust, scalable RESTful

thebushidocollective/hanUpdated May 29, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

2

total installs

2

this week

130

GitHub stars

0

upvotes

Install Skill

Run in your terminal

$npx skills add https://github.com/thebushidocollective/han --skill django-rest-framework

2

installs

2

this week

130

stars

What it does

  • APIs with proper serialization and authentication.

Category

Backend

Last updated

May 29, 2026

Installation Guide

How to use django-rest-framework on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add django-rest-framework
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/thebushidocollective/han --skill django-rest-framework

Fetches django-rest-framework from thebushidocollective/han and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/django-rest-framework

Restart Cursor to activate django-rest-framework. Access via /django-rest-framework in your agent's command palette.

Security Notice

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.

Documentation

Django REST Framework

Master Django REST Framework for building robust, scalable RESTful APIs with proper serialization and authentication.

Serializers

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

Custom Fields and Validation

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']

Nested Serializers

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(serializers

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ 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.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.532 reviews
  • D
    Dhruvi JainDec 20, 2024

    Keeps context tight: django-rest-framework is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • A
    Anaya BrownDec 12, 2024

    Keeps context tight: django-rest-framework is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • A
    Advait ChoiDec 8, 2024

    django-rest-framework has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • O
    Omar AbebeNov 27, 2024

    django-rest-framework fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • O
    OshnikdeepNov 11, 2024

    Registry listing for django-rest-framework matched our evaluation — installs cleanly and behaves as described in the markdown.

  • M
    Mia KhanNov 3, 2024

    Registry listing for django-rest-framework matched our evaluation — installs cleanly and behaves as described in the markdown.

  • M
    Mia MehtaOct 22, 2024

    django-rest-framework reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • O
    Omar FarahOct 18, 2024

    We added django-rest-framework from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • G
    Ganesh MohaneOct 2, 2024

    django-rest-framework reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • S
    Sakshi PatilSep 21, 2024

    django-rest-framework has been reliable in day-to-day use. Documentation quality is above average for community skills.

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