What problem does it solve? Managing a book project means collecting outline drafts from many AI models and sessions, then manually copying chapter-level content into individual chapter files. This Skill automates that parse-then-distribute workflow, keeping 16 chapter outline files and a general notes file synchronized with any candidate outline. ## Core Features & Use Cases - Structure-Adaptive Parsing: Classifies candidate files by structure type (chapter-heading, numbered-section, master/merged, comparison, migration plan, notes) and adapts extraction accordingly. - Canonical Chapter Output: Writes ch01–ch16 outline files with preserved subsection numbering, Let's Build activities, Lab assignments, and source attribution blockquotes. - Cumulative General Notes: Appends book-level content (migration maps, positioning, comparisons) to general-notes.md without overwriting prior contributions. - Use Case: A new outline draft from DeepSeek arrives in the candidates folder. Run the distribute mode to update all 17 target files with source attribution, then verify completeness. ## Quick Start Distribute the candidate file BITM330-book-outline-MASTER-2026-07-10.md into the chapter outline files.
