course-description-analyzer

Validating a course description for learning graphs requires checking that it includes title, target audience, prerequisites, main topics, and Bloom's Taxonomy learning outcomes across all six levels. The course-description-analyzer skill performs this completeness check and returns a 100-point quality score with specific improvement recommendations to ensure your description is ready for automated learning graph construction.

A complete course description aligned with Bloom's Taxonomy must specify learning outcomes for all six cognitive levels: remember, understand, apply, analyze, evaluate, and create. The analyzer validates that your course-description.md file addresses each level, enabling intelligent textbook generation and ensuring educators can map curriculum objectives systematically.

Yes. Upload your existing course-description.md file and the analyzer will identify gaps in completeness, provide a quality assessment score, and suggest actionable improvements for clarity, depth, and alignment with learning objectives. This saves educators manual review time while ensuring descriptions meet standardized requirements.

Creation (Step 1) generates a course description from scratch using a standardized template, while analysis (Step 2) validates and enhances an existing description. Both workflows ensure Bloom's Taxonomy alignment and completeness for learning graph generation.

Learning graphs depend on precise learning outcomes, prerequisites, and topic structure to generate intelligent navigation paths and textbooks. A high-quality course description with complete Bloom's Taxonomy elements enables accurate automated graph construction; incomplete or poorly structured descriptions produce unreliable learning resources.