FAQ Generator FAQs

Question 1

When should I use this skill in my workflow?

Accepted Answer

For best results, trigger this skill once your course description is finalized, your learning graph and glossary are created, and at least 30% of your chapter content is written. This ensures the generator has sufficient context to produce relevant questions.

Question 2

How does this skill improve educational content quality?

Accepted Answer

It uses a content completeness scoring system to identify knowledge gaps and ensures a balanced distribution of questions—from basic recall to advanced synthesis—providing a more robust learning experience for students.

Question 3

Does it support AI chatbot and RAG integration?

Accepted Answer

Yes. Beyond Markdown files, the skill generates a structured JSON export (faq-chatbot-training.json) specifically designed for Retrieval-Augmented Generation (RAG) systems and AI assistant training.

Question 4

What does the FAQ Generator skill do?

Accepted Answer

This skill analyzes course materials, learning graphs, and glossaries to automatically create comprehensive FAQs mapped across six Bloom's Taxonomy levels. It produces human-readable Markdown documentation and structured JSON for technical integrations.

Question 5

What documentation formats does the skill produce?

Accepted Answer

The skill generates a comprehensive FAQ document in 'docs/faq.md' with optimized headers and internal links, a detailed quality report in 'logs/faq.md', and a training-ready JSON file for developers.

FAQ Generator

FAQ Generator

Características Principales

Casos de Uso

Características Principales

Casos de Uso