AI Master Class Course Creator

Problem

Course materials often sit in scattered PPT, PDF, DOCX, images, and plain text. Moving them into a course platform usually requires chapter boundaries, learning interactions, valid image URLs, and a publishable structure. Manual lesson splitting, writing Teaching Prompts, uploading assets, and importing content can fail on syntax, resource paths, and language consistency.

How It Works

The AI Master Class Course Creator turns raw materials into runnable interactive AI courses. Key steps include:
- Precheck: validates DISTILLATION_API_KEY on load; prompts for the key in interactive mode or exits with an error in --non-interactive mode.
- Image handling: runs extract-images --json, performs multimodal review of extracted images, uploads only pedagogically useful images, and produces platform URLs that can be embedded.
- Segmentation and orchestration: splits material into segments with image_resources, then drives generation of Teaching Prompts, course-level prompts, course index, and variable tables.
- Validation and deployment: runs validate-lessons after generation, then build, import, and publish; analytics can show learner counts, completion rate, stuck lessons, ratings, orders, and revenue.

Boundaries and Caveats

This skill targets the AI Master Class platform and is not a generic offline course generator. It depends on a valid API Key, reachable platform endpoint, and compliant course directory structure. Images must be reviewed and uploaded first, and course content should use platform URLs rather than local paths or external links. MarkdownFlow interaction syntax, output-language resolution, and publish confirmation are enforced by the workflow. Low-quality input may trigger fallback mode, with uncertainty explicitly marked in the output.