编辑审校 (Editor)

Audit novel drafts for consistency, character arcs, and narrative quality.

Updated Feb 13, 2026
One-click install
npx skills add https://github.com/yongc2025/NovelFactory --skill editor-yongc2025
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 编辑审校 (Editor)
Source: https://github.com/yongc2025/NovelFactory/tree/main/src/novel_factory/skills/editor
Command: npx skills add https://github.com/yongc2025/NovelFactory --skill editor-yongc2025

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the inconsistency and quality control issues in long-form narrative generation by providing a structured, multi-stage audit process for novel drafts.

Core Features & Use Cases

  • Automated Rule Checking: Validates character, time, and space consistency, while detecting potential red-line content.
  • Quality Assessment: Evaluates narrative elements like protagonist growth, conflict density, and emotional pacing using a 1-10 scoring system.
  • Use Case: After a draft is generated, use this skill to automatically identify logic gaps, remove AI-typical phrasing, and receive actionable suggestions for improvement before the final publication stage.

Quick Start

Use the editor skill to perform a deep audit on the current chapter draft by providing the chapter content, character list, and previous summary.

Frequently Asked Questions about 编辑审校 (Editor)

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate consistency checks for novel drafts?

Automated consistency checks for novel drafts validate character, time, and space logic while detecting red-line content. This multi-stage audit process identifies narrative inconsistencies and generates structured JSON-based reports on plot progression and character arcs.

How do I evaluate narrative quality and emotional pacing in long-form fiction?

Evaluating narrative quality in long-form fiction uses a 1-10 scoring system to assess protagonist growth, conflict density, and emotional pacing. This quality assessment mechanism provides actionable suggestions for stylistic refinement and logic gap removal.

What is the best way to remove AI-typical phrasing from generated novel chapters?

Removing AI-typical phrasing from generated novel chapters requires a deep editorial audit of the draft content, character list, and previous summaries. This process identifies logic gaps and provides actionable improvement suggestions before final publication.

Can I track character arcs and plot progression using structured reporting?

Tracking character arcs and plot progression is supported through structured JSON-based reporting on consistency and emotional impact. This narrative evaluation mechanism validates logic and scores conflict density to ensure narrative quality control.

Do I need to provide previous chapter summaries to audit novel consistency?

Auditing novel consistency requires providing the current chapter content, character list, and previous summary as input. This prerequisite data enables the multi-dimensional consistency checks and character arc tracking necessary for accurate quality assurance.