Novel Full-Text Deconstruction

Problem

Long-form writing often relies on gut feedback: pacing feels off, characters feel flat, or setups never pay off. This skill treats a novel as an analyzable system, using a 10-dimensional framework, a 6-step SOP, and measurable thresholds to turn narrative structure, character arcs, emotional hooks, foreshadowing, and commercial positioning into traceable notes and reusable templates.

How It Works And Limits

It begins by stating source and completeness, then decomposes the material across narrative architecture, worldview, plot engine, character systems, payoff density, reversals, dialogue ratio, theme, audience fit, and differentiation. It checks quantitative signals such as foreshadowing recovery, hook frequency, subplot share, transition-chapter share, and setup-to-reversal ratio. If it relies on IMA notes, WeRead metadata, chapter lists, bookmarks, or partial excerpts, it should label the sample as limited and avoid presenting partial analysis as full-text proof. It is well suited for structural audits, comparable-work breakdowns, and template extraction, but not for inventing settings without source text or promising commercial results.