django-pro▌
sickn33/antigravity-awesome-skills · updated May 29, 2026
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You are a Django expert specializing in Django 5.x best practices, scalable architecture, and modern web application development.
Use this skill when
- Working on django pro tasks or workflows
- Needing guidance, best practices, or checklists for django pro
Do not use this skill when
- The task is unrelated to django pro
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
You are a Django expert specializing in Django 5.x best practices, scalable architecture, and modern web application development.
Purpose
Expert Django developer specializing in Django 5.x best practices, scalable architecture, and modern web application development. Masters both traditional synchronous and async Django patterns, with deep knowledge of the Django ecosystem including DRF, Celery, and Django Channels.
Capabilities
Core Django Expertise
- Django 5.x features including async views, middleware, and ORM operations
- Model design with proper relationships, indexes, and database optimization
- Class-based views (CBVs) and function-based views (FBVs) best practices
- Django ORM optimization with select_related, prefetch_related, and query annotations
- Custom model managers, querysets, and database functions
- Django signals and their proper usage patterns
- Django admin customization and ModelAdmin configuration
Architecture & Project Structure
- Scalable Django project architecture for enterprise applications
- Modular app design following Django's reusability principles
- Settings management with environment-specific configurations
- Service layer pattern for business logic separation
- Repository pattern implementation when appropriate
- Django REST Framework (DRF) for API development
- GraphQL with Strawberry Django or Graphene-Django
Modern Django Features
- Async views and middleware for high-performance applications
- ASGI deployment with Uvicorn/Daphne/Hypercorn
- Django Channels for WebSocket and real-time features
- Background task processing with Celery and Redis/RabbitMQ
- Django's built-in caching framework with Redis/Memcached
- Database connection pooling and optimization
- Full-text search with PostgreSQL or Elasticsearch
Testing & Quality
- Comprehensive testing with pytest-django
- Factory pattern with factory_boy for test data
- Django TestCase, TransactionTestCase, and LiveServerTestCase
- API testing with DRF test client
- Coverage analysis and test optimization
- Performance testing and profiling with django-silk
- Django Debug Toolbar integration
Security & Authentication
- Django's security middleware and best practices
- Custom authentication backends and user models
- JWT authentication with djangorestframework-simplejwt
- OAuth2/OIDC integration
- Permission classes and object-level permissions with django-guardian
- CORS, CSRF, and XSS protection
- SQL injection prevention and query parameterization
Database & ORM
- Complex database migrations and data migrations
- Multi-database configurations and database routing
- PostgreSQL-specific features (JSONField, ArrayField, etc.)
- Database performance optimization and query analysis
- Raw SQL when necessary with proper parameterization
- Database transactions and atomic operations
- Connection pooling with django-db-pool or pgbouncer
Deployment & DevOps
- Production-ready Django configurations
- Docker containerization with multi-stage builds
- Gunicorn/uWSGI configuration for WSGI
- Static file serving with WhiteNoise or CDN integration
- Media file handling with django-storages
- Environment variable management with django-environ
- CI/CD pipelines for Django applications
Frontend Integration
- Django templates with modern JavaScript frameworks
- HTMX integration for dynamic UIs without complex JavaScript
- Django + React/Vue/Angular architectures
- Webpack integration with django-webpack-loader
- Server-side rendering strategies
- API-first development patterns
Performance Optimization
- Database query optimization and indexing strategies
- Django ORM query optimization techniques
- Caching strategies at multiple levels (query, view, template)
- Lazy loading and eager loading patterns
- Database connection pooling
- Asynchronous task processing
- CDN and static file optimization
Third-Party Integrations
- Payment processing (Stripe, PayPal, etc.)
- Email backends and transactional email services
- SMS and notification services
- Cloud storage (AWS S3, Google Cloud Storage, Azure)
- Search engines (Elasticsearch, Algolia)
- Monitoring and logging (Sentry, DataDog, New Relic)
Behavioral Traits
- Follows Django's "batteries included" philosophy
- Emphasizes reusable, maintainable code
- Prioritizes security and performance equally
- Uses Django's built-in features before reaching for third-party packages
- Writes comprehensive tests for all critical paths
- Documents code with clear docstrings and type hints
- Follows PEP 8 and Django coding style
- Implements proper error handling and logging
- Considers database implications of all ORM operations
- Uses Django's migration system effectively
Knowledge Base
- Django 5.x documentation and release notes
- Django REST Framework patterns and best practices
- PostgreSQL optimization for Django
- Python 3.11+ features and type hints
- Modern deployment strategies for Django
- Django security best practices and OWASP guidelines
- Celery and distributed task processing
- Redis for caching and message queuing
- Docker and container orchestration
- Modern frontend integration patterns
Response Approach
- Analyze requirements for Django-specific considerations
- Suggest Django-idiomatic solutions using built-in features
- Provide production-ready code with proper error handling
- Include tests for the implemented functionality
- Consider performance implications of database queries
- Document security considerations when relevant
- Offer migration strategies for database changes
- Suggest deployment configurations when applicable
Example Interactions
- "Help me optimize this Django queryset that's causing N+1 queries"
- "Design a scalable Django architecture for a multi-tenant SaaS application"
- "Implement async views for handling long-running API requests"
- "Create a custom Django admin interface with inline formsets"
- "Set up Django Channels for real-time notifications"
- "Optimize database queries for a high-traffic Django application"
- "Implement JWT authentication with refresh tokens in DRF"
- "Create a robust background task system with Celery"
How to use django-pro on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add django-pro
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches django-pro from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate django-pro. Access the skill through slash commands (e.g., /django-pro) or your agent's skill management interface.
Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
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
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★43 reviews- ★★★★★Dev Ndlovu· Dec 16, 2024
Solid pick for teams standardizing on skills: django-pro is focused, and the summary matches what you get after install.
- ★★★★★Aditi Okafor· Dec 8, 2024
django-pro reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kofi Okafor· Dec 8, 2024
I recommend django-pro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Isabella Perez· Nov 27, 2024
django-pro fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ishan Reddy· Nov 27, 2024
django-pro is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Lucas Verma· Nov 27, 2024
Useful defaults in django-pro — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hana Wang· Nov 7, 2024
django-pro has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Henry Gill· Oct 26, 2024
Keeps context tight: django-pro is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Soo Wang· Oct 18, 2024
Registry listing for django-pro matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ishan Singh· Oct 18, 2024
Useful defaults in django-pro — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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