book-chapter-generator

Structuring textbooks with concept dependencies involves analyzing a learning graph to create chapters that respect prerequisite relationships. This skill generates organized chapter outlines by mapping concept dependencies into a DAG-validated structure, then distributing 8-25 concepts per chapter across 6-20 chapters while maintaining logical learning progression.

The best approach analyzes your learning graph and concept taxonomy to design chapters that enforce dependency constraints and balance content distribution. This skill automates that process by validating the DAG structure, ensuring one concept per chapter, and generating chapter directories with navigation files, eliminating weeks of manual planning.

Yes. After preparing your learning graph and taxonomy, you can generate a complete chapter structure that respects concept dependencies and distributes content evenly. The skill creates index.md files with summaries, concept lists, and updates mkdocs.yml navigation automatically.

Key constraints include maintaining a DAG-validated learning graph, assigning unique concept IDs, enforcing one concept per chapter, and balancing chapter sizes between 8-25 concepts. These ensure pedagogically sound content distribution and dependency respect across 6-20 chapters.

Yes. Chapter generation requires a completed learning graph with concept dependencies and a taxonomy already in place. The skill applies after these preparatory steps to design chapter sequences that respect those dependencies and distribute concepts evenly.

Dependency-aware sequencing ensures prerequisites appear before dependent concepts across chapters, creating a coherent learning path. This eliminates content gaps and reduces student confusion by enforcing logical progression validated against your concept DAG structure.