Can I use this to integrate specific AI providers like OpenAI or Claude?

Yes. While it focuses on the Moodle side of the integration, the decoupled architecture it implements allows your plugin to work with any AI provider configured in the Moodle site.

Does this skill handle user privacy and AI policies?

Yes, it includes patterns for checking user policy status and recording acceptance using the core_ai manager and web services.

Does it help with the database requirements for AI features?

Yes, it provides the necessary XML structures for your db/install.xml file to ensure AI actions are properly stored and logged.

Which Moodle versions are compatible with this skill?

This skill is specifically designed for Moodle 4.5 and higher, as it relies on the core AI Subsystem introduced in that version.

Moodle AI Subsystem Integration

Name: Moodle AI Subsystem Integration
Author: astoeffer

byastoeffer

Data Science & ML

Streamlines the development of AI-powered features within the Moodle LMS using the official AI Subsystem for version 4.5 and above.

About

This skill provides specialized architectural guidance and boilerplate code for developers working with the Moodle AI Subsystem introduced in version 4.5. It assists in creating decoupled AI components including Actions, Providers, and Placements, ensuring your plugins adhere to Moodle's core standards. By leveraging this skill, developers can efficiently implement user policy checks, database persistence for AI interactions, and seamless integration with various LLM providers while maintaining a clean, maintainable codebase within the Moodle ecosystem.

Key Features

Implementation of Moodle AI policy compliance and user consent flows
0 GitHub stars
Generation of database schema (install.xml) for AI action logging
Scaffolding for custom AI Action and Response classes
Configuration of AI Placements for UI-driven feature triggers
Integration with the core_ai manager for cross-provider compatibility

Use Cases

Building an automated feedback system for assignment submissions using the AI Subsystem
Developing a Moodle plugin that generates automated quiz questions via LLMs
Implementing AI-driven content summarization within course modules

About

Key Features

Implementation of Moodle AI policy compliance and user consent flows
0 GitHub stars
Generation of database schema (install.xml) for AI action logging
Scaffolding for custom AI Action and Response classes
Configuration of AI Placements for UI-driven feature triggers
Integration with the core_ai manager for cross-provider compatibility

Use Cases

Building an automated feedback system for assignment submissions using the AI Subsystem
Developing a Moodle plugin that generates automated quiz questions via LLMs
Implementing AI-driven content summarization within course modules