Novelist
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About this skill
Problem
Long-form Chinese novel generation usually fails on discipline, not style: chapter lengths drift, hooks repeat, foreshadowing gets lost, the prose feels AI-written, and publishable drafts still contain working metadata. Novelist reframes the task as a traceable production pipeline rather than a single long-form output.
How it works
- Planning first: produce the project tree, five-act structure, emotion curve, and hook rotation table before drafting.
- Chapter generation: keep each chapter within
2200-2800CJK characters and annotate hooks and foreshadowing in chapter metadata. - Evaluation: check word distribution, hook rotation, volume balance, then produce a quality report and six-dimension score.
- Refinement: strengthen thin characters and run a novel-aware de-AI scan for repeated crutch phrases instead of rewriting whole chapters.
- Publishing: strip working metadata and prepare clean chapter files, platform summaries, launch metadata, and cover assets.
Boundaries
It fits long web novels, historical romance, contemporary romance, suspense, and xuanhuan projects that need word-count discipline and hook pacing. It can also audit existing drafts and prepare publication assets. It does not invent high-quality ideas from scratch or replace platform review; existing style and length constraints should take precedence.
Use Cases
- Set up a long historical-romance novel by defining five-act structure, chapter word counts, and hook rotation.
- Audit 20 drafted chapters for word count, hook distribution, and volume balance, then produce a score report.
- Strengthen underdeveloped characters by adding motivation at existing plot anchors across two or three chapters.
- Prepare for web-novel launch by stripping metadata and preparing clean chapters, blurbs, and launch details.
Best For
- Web-novel authors working on long-form female-oriented fiction who need stable chapter length, hook pacing, and launch-ready delivery.
- Platform editors handling novel content who need to turn drafts into clean publishable chapters, blurbs, and launch metadata.
- Long-form editing staff who need quantitative evaluation, character strengthening, and novel-aware de-AI refinement.
- Independent serialized writers who need traceable outputs across outlines, chapters, and publishing files.
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