No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by vintasoftware · Agent Tool · ★ 121
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Django Agent Skills A collection of skills and agents for AI coding agents specialized in Django backend development. Available Skills & Agents django-expert (Skill) Comprehensive Django development guidelines from Vinta Software. Contains best practices across multiple categories for building robust Django applications. Use when: Building new Django models, views, or APIs Implementing authentication or authorization Setting up Django REST Framework endpoints Reviewing Django code for best practices Optimizing database queries and performance Categories covered: Project structure and configuration Models and database design Views and URL routing Django REST Framework integration Security best practices Testing strategies Performance optimization Production deployment django-celery-expert (Skill) Expert guidance for Django applications using Celery for asynchronous task processing. Incorporates best practices from Vinta Software's production experience.
| Stars | 121 |
| Forks | 16 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 71.7787428306084/100 |
| Last Updated | 2026-07-23 |
| Created | 2025-12-30 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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django-ai-plugins is A collection of AI Skills specialized in Django Backend development. It is categorized as a Agent Tool with 121 GitHub stars.
django-ai-plugins is primarily written in Python. It covers topics such as ai-agents, claude-code, django-ai-boost.
You can find installation instructions and usage details in the django-ai-plugins GitHub repository at github.com/vintasoftware/django-ai-plugins. The project has 121 stars and 16 forks, indicating an active community.
The top alternatives to django-ai-plugins on Agent Skills Hub include opencode-primer, Adnify, leapmux. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.