story-review

To review novel chapter consistency, you can run a multi-agent story review that evaluates character design, setting consistency, writing quality, and architecture. The Skill scans your book chapters and produces a structured report with severity levels and evidence-based fixes.

Yes, you can check fiction against platform-specific standards like Qidian, Fanqie, or Zhihu. The Skill loads platform-aware quality rubrics during the story review to ensure your chapters meet the target platform's publishing requirements.

The best way to audit long-form network novels is running a full multi-agent story review. Four specialized agents scrutinize structure and setting in parallel, aggregating plot holes into a deduplicated, prioritized modification plan with clear textual evidence.

You get an actionable revision verdict by running a rubric-driven story review. It resolves overlapping issues and agent conflicts using defined weights, outputting a structured report that separates critical blockers from optional improvements.

Yes, the story review process works for quick single-chapter checks using Solo mode. It performs a single-pass self-check for fast revisions, while Lean mode targets structure and setting, and Full mode runs four agents for complete audits.

A multi-agent review prevents human oversight by running specialized agents in parallel for writing quality and character consistency. It enforces evidence-based scoring with S1-S4 severity levels, ensuring objective, structured problem resolution over manual editing.