django-ai-plugins
💡 摘要
一套为AI智能体提供的Django及Django-Celery开发最佳实践与指南的技能集合。
🎯 适合人群
🤖 AI 吐槽: “这就像给一位厨师一本详细的食谱，但他还得自己学会开火——指导很强大，但执行效果无法保证。”
技能本身是文档，直接风险极低。然而，如果AI智能体误解其指导（例如安全设置），可能导致不安全的实现。对外部MCP服务器（`django-ai-boost`）的依赖引入了供应链风险；务必审查并固定其版本。
Django Agent Skills
A collection of skills for AI coding agents specialized in Django backend development. Skills are packaged instructions and references that extend agent capabilities.
Skills follow the Agent Skills format and work with any compatible AI coding agent.
Available Skills
django-expert
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
Expert guidance for Django applications using Celery for asynchronous task processing. Incorporates best practices from Vinta Software's production experience.
Use when:
- Creating background tasks for email, notifications, or data processing
- Configuring Celery workers and message brokers
- Implementing retry logic and error handling
- Setting up periodic/scheduled tasks with Celery Beat
- Monitoring and debugging Celery tasks
- Deploying Celery to production
Categories covered:
- Django-Celery integration patterns (transaction.on_commit, recovery tasks)
- Task design patterns (idempotency, workflows, atomicity)
- Broker configuration (Redis, RabbitMQ, SQS)
- Error handling and retry strategies
- Periodic tasks and scheduling
- Monitoring and observability (Flower, Prometheus)
- Production deployment and scaling
Installation
npx add-skill vintasoftware/django-ai-plugins
To list available skills before installing:
npx add-skill vintasoftware/django-ai-plugins -l
Usage
Skills are automatically available once installed. The agent will use them when relevant tasks are detected.
Examples:
Create a new Django model for user profiles
Set up a REST API endpoint with authentication
Review this Django view for security issues
Skill Structure
Each skill contains:
SKILL.md- Instructions for the agentreferences/- Supporting documentation
Integration with django-ai-boost MCP Server
This skill works seamlessly with the django-ai-boost MCP server, which provides additional Django-specific tools and capabilities.
To use both together:
- Install the django-ai-boost MCP server following its documentation
- Install this skill using the instructions above
- The skills will leverage the tools provided by the MCP server for enhanced Django development capabilities
License
MIT @ Vinta Software
优点
- 提供经过生产环境检验的Django最佳实践。
- 涵盖核心Django和高级Celery集成。
- 专为与AI编码智能体工作流无缝集成而设计。
- 可与现有的django-ai-boost MCP服务器工具互补。
缺点
- 仅限于指导，没有可执行工具或代码生成功能。
- 效果完全取决于宿主AI智能体的能力。
- 主要参考Vinta的视角，可能未涵盖所有社区模式。
- 需要单独安装MCP服务器以获得完整的工具增强体验。
相关技能
免责声明：本内容来源于 GitHub 开源项目，仅供展示和评分分析使用。
版权归原作者所有 vintasoftware.