sumeru-polish

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

网文内容润色

Online Novel Content Polishing

触发关键词

Trigger Keywords

帮我润色这段小说、改下文笔、优化章节节奏、强化这个爽点、让对话更自然、把这段写得更爽、优化小说文笔、调整章节节奏、让对话更真实、帮我改下这段内容、润色小说、优化爽点、提升文笔、让这段更有代入感、小说内容优化、文笔润色

Help me polish this novel, improve the writing style, optimize chapter rhythm, enhance this highlight, make dialogues more natural, make this passage more engaging, optimize novel writing style, adjust chapter rhythm, make dialogues more realistic, help me revise this content, polish novel, optimize highlights, improve writing style, make this passage more immersive, novel content optimization, writing style polishing

核心功能

Core Features

润色等级

Polishing Levels

轻度润色：优化句式表达，去除冗余表述，精炼用词，提升文字流畅度，保留80%以上原文风格和表达方式
中度润色：重构段落结构，优化叙事视角，全面提升文笔质感，保留60%原文核心表达
深度润色：逐字打磨，雕琢细节，追求最佳阅读体验，保留核心情节脉络

Light Polishing: Optimize sentence structure, remove redundant expressions, refine word choice, improve text fluency, and retain over 80% of the original style and expression
Moderate Polishing: Restructure paragraph frameworks, optimize narrative perspectives, comprehensively enhance writing quality, and retain 60% of the original core expressions
Deep Polishing: Polish every word, refine details, pursue the best reading experience, and retain the core plot context

风格适配选项

Style Adaptation Options

小白爽文：短句为主，节奏明快，情绪直接，用词通俗易懂
精品文：句式多变，文笔细腻，注重氛围营造，人物心理刻画深入
古风仙侠：用词雅致，意境悠远，适当运用古典词汇和修辞手法
都市现实：语言生活化，对话接地气，场景描写真实可感
悬疑推理：语言凝练，节奏紧凑，信息密度适中，悬念感强
科幻未来：科技感词汇准确，逻辑严密，世界观表述清晰

Casual Power Fantasy Novels: Dominated by short sentences, brisk rhythm, direct emotions, and easy-to-understand vocabulary
High-Quality Literary Novels: Varied sentence structures, delicate writing style, focus on atmosphere building, and in-depth portrayal of characters' psychology
Ancient Fantasy & Xianxia Novels: Elegant vocabulary, distant artistic conception, appropriate use of classical words and rhetorical techniques
Urban Realistic Novels: Lifelike language, down-to-earth dialogues, and realistic scene descriptions
Mystery & Detective Novels: Concise language, tight rhythm, moderate information density, and strong sense of suspense
Sci-Fi & Futuristic Novels: Accurate tech-related vocabulary, rigorous logic, and clear worldview presentation

针对性优化

Targeted Optimization

节奏收紧
- 删除无效铺垫：去除与主线无关的场景描写、心理活动
- 压缩过渡情节：将冗长的转场、交代性文字缩短30%-50%
- 加快信息传递：采用对话、行动展现信息，减少大段叙述
- 调整段落长度：将超长段落拆分为2-3行的短段落，提升阅读速度
爽点强化
- 前置铺垫：在爽点前300-500字设置期待感，通过反派挑衅、主角困境、他人质疑等方式铺垫
- 情绪递进：爽点爆发分三层：期待→紧张→释放，每一层情绪都要有具体描写
- 细节放大：主角行动、他人反应、环境变化三个维度同时描写，增强画面感
- 收尾有力：爽点后用100-200字总结效果，或留下新的钩子
- 经典结构：[压抑/挑衅]→[蓄力/准备]→[爆发/打脸]→[余波/影响]
对话优化
- 人设贴合：每句对话符合人物年龄、身份、性格，避免千人一面
- 潜台词：重要对话包含言外之意，通过语气、动作辅助表达
- 节奏控制：长段对话拆分为多轮，穿插动作、表情、心理描写
- 信息传递：通过对话自然交代背景、推动情节，避免生硬说明
- 口语化：减少书面语，多用真实生活中的表达习惯，但避免语病
- 对话标签优化：用具体动作代替"说"、"道"，如"挑眉道"、"冷哼一声"
文笔优化
- 精准用词：替换重复词汇、模糊表达，选用更准确的动词、形容词
- 句式变化：长短句结合，避免清一色的主谓宾结构
- 感官描写：调动视觉、听觉、嗅觉、触觉、味觉，增强代入感
- 比喻具象：用读者熟悉的事物作比，避免抽象、生僻的比喻
- 去除冗余：删除"非常"、"十分"、"很"等副词，用动词和名词表达程度

Rhythm Tightening
- Remove ineffective foreshadowing: Delete scene descriptions and psychological activities irrelevant to the main plot
- Compress transitional plots: Shorten lengthy transitions and explanatory texts by 30%-50%
- Accelerate information delivery: Use dialogues and actions to present information instead of long paragraphs of narration
- Adjust paragraph length: Split overlong paragraphs into short paragraphs of 2-3 lines to improve reading speed
Highlight Enhancement
- Pre-foreshadowing: Build anticipation 300-500 words before the highlight through villain provocation, protagonist's dilemma, others' doubts, etc.
- Emotional progression: The highlight outbreak is divided into three layers: anticipation → tension → release, with specific descriptions for each emotional layer
- Detail amplification: Simultaneously describe the protagonist's actions, others' reactions, and environmental changes to enhance sense of imagery
- Powerful conclusion: Use 100-200 words to summarize the effect after the highlight, or leave a new hook
- Classic structure: [Suppression/Provocation] → [Accumulation/Preparation] → [Outburst/Slap in the Face] → [Aftermath/Impact]
Dialogue Optimization
- Consistent with character settings: Every line of dialogue matches the character's age, identity, and personality, avoiding one-size-fits-all expressions
- Subtext: Important dialogues contain implied meanings, supplemented by tone and actions
- Rhythm control: Split long dialogues into multiple rounds, interspersed with actions, expressions, and psychological descriptions
- Information delivery: Naturally explain background and promote plot through dialogues, avoiding rigid explanations
- Colloquialization: Reduce written language, use real-life expression habits, but avoid grammatical errors
- Dialogue tag optimization: Replace "said" with specific actions, such as "raised his eyebrow and said", "snorted"
Writing Style Optimization
- Precise word choice: Replace repeated words and vague expressions with more accurate verbs and adjectives
- Sentence variety: Combine long and short sentences, avoid uniform subject-verb-object structures
- Sensory description: Mobilize vision, hearing, smell, touch, and taste to enhance immersion
- Concrete metaphors: Use things familiar to readers for comparison, avoid abstract and obscure metaphors
- Remove redundancy: Delete adverbs like "very", "extremely", "quite", and express intensity with verbs and nouns

输出内容

Output Content

润色后的完整章节内容（直接替换
```
chapters/
```
中的原文件）
润色修改说明：调整的地方与原因（按优化类型分类说明）
优化建议：后续内容写作提升方向，具体可操作的技巧

Complete polished chapter content (directly replaces original files in
```
chapters/
```
)
Polishing modification instructions: Adjusted parts and reasons (classified by optimization type)
Optimization suggestions: Specific actionable techniques for improving subsequent content writing

子Agent并行润色机制

Sub-Agent Parallel Polishing Mechanism

当需要润色的章节数量大于3章时，自动启用子Agent并行润色模式：

⚠️ 遵循全局约束：每个子Agent最多负责3个章节（详见 AGENTS.md "子Agent并行处理规则"）

所需Agent数 = ceil(总章节数 / 3)
相邻章节分配给同一Agent，保持风格连贯性

调度逻辑

mermaid

flowchart LR
    A[批量润色任务] --> B[读取章节列表与润色配置]
    B --> C[创建任务队列，按每Agent最多3章分配]
    C --> D[计算所需Agent数 = ceil/总章数/3/]
    D --> E[启动N个并行子agent]
    E --> F[子Agent拉取任务 → 润色章节 → 保存结果]
    F --> G{队列是否为空?}
    G -->|否| F
    G -->|是| H[汇总润色结果，生成统计报告]

子Agent输入上下文 每个子agent接收：

润色等级与风格参数
负责章节的原始内容
世界观设定（精简版，保持术语一致）
人物设定（仅相关人物，保持性格一致）
审查问题清单（如有，作为重点优化方向）

章节分配规则

按章节顺序连续分配（如Agent1负责第1-3章，Agent2负责第4-6章）
尾部不足3章的Agent按实际剩余章节数分配

进度追踪

每个Agent完成润色后立即将结果直接保存到
```
chapters/
```
（修改前自动备份到
```
.sumeru/write/original/
```
）
实时显示已完成/进行中/待润色章节状态
所有Agent完成后，润色结果已直接应用到
```
chapters/
```
目录

When the number of chapters to be polished exceeds 3, the sub-Agent parallel polishing mode is automatically enabled:

⚠️ Global constraint: Each sub-Agent is responsible for a maximum of 3 chapters (see AGENTS.md "Sub-Agent Parallel Processing Rules")

Required number of Agents = ceil(total chapters / 3)
Adjacent chapters are assigned to the same Agent to maintain style consistency

Scheduling Logic

mermaid

flowchart LR
    A[批量润色任务] --> B[读取章节列表与润色配置]
    B --> C[创建任务队列，按每Agent最多3章分配]
    C --> D[计算所需Agent数 = ceil/总章数/3/]
    D --> E[启动N个并行子agent]
    E --> F[子Agent拉取任务 → 润色章节 → 保存结果]
    F --> G{队列是否为空?}
    G -->|否| F
    G -->|是| H[汇总润色结果，生成统计报告]

Sub-Agent Input Context Each sub-Agent receives:

Polishing level and style parameters
Original content of the responsible chapters
Simplified worldview settings (to maintain consistent terminology)
Character settings (only relevant characters, to maintain consistent personalities)
Review issue list (if any, as key optimization directions)

Chapter Allocation Rules

Allocate continuously in chapter order (e.g., Agent 1 is responsible for Chapters 1-3, Agent 2 for Chapters 4-6)
Agents with less than 3 remaining chapters at the end are assigned according to the actual number of remaining chapters

Progress Tracking

After completing polishing, each Agent immediately saves the results directly to
```
chapters/
```
(automatic backups are made to
```
.sumeru/write/original/
```
before modification)
Real-time display of completed/in-progress/to-be-polished chapter status
After all Agents are completed, the polished results are directly applied to the
```
chapters/
```
directory

数据持久化

Data Persistence

润色过程数据自动保存到

.sumeru/polish/

```
diff/
```
：修改对比文件，记录每处修改的位置、原文、修改后内容、修改原因
```
summary.json
```
：润色统计报告，包含修改数量、优化类型分布、字数变化
```
style-config.json
```
：本次润色使用的风格、等级、重点参数配置

Polishing process data is automatically saved to the

.sumeru/polish/

directory:

```
diff/
```
: Modification comparison files, recording the position, original text, modified content, and modification reason for each change
```
summary.json
```
: Polishing statistical report, including number of modifications, distribution of optimization types, and word count changes
```
style-config.json
```
: Style, level, and key parameter configurations used in this polishing

与其他 Skill 配合

Coordination with Other Skills

前置 Skill：读取
```
sumeru-write
```
和
```
sumeru-review
```
的输出
- 从
```
chapters/
```
  读取原始章节内容
- 从
```
.sumeru/review/issues.json
```
  读取审查问题作为优化重点
后续 Skill：润色后的内容供
```
sumeru-finalize
```
使用
- 润色结果直接保存在
```
chapters/
```
  目录，无需额外应用步骤
- worldbuilder 编排 polish 时，润色结果自动生效

Preceding Skills: Reads outputs from
```
sumeru-write
```
and
```
sumeru-review
```
- Reads original chapter content from
```
chapters/
```
- Reads review issues from
```
.sumeru/review/issues.json
```
  as key optimization directions
Subsequent Skills: Polished content is used by
```
sumeru-finalize
```
- Polished results are directly saved in the
```
chapters/
```
  directory, no additional application steps required
- When worldbuilder orchestrates polish, the polished results take effect automatically

数据复用

Data Reuse

支持多轮润色，可基于上一轮润色结果继续优化
可导出diff文件用于人工审核修改内容
风格配置可复用，保持全本润色风格统一

Supports multiple rounds of polishing, allowing continued optimization based on previous polishing results
Diff files can be exported for manual review of modifications
Style configurations can be reused to maintain consistent polishing style throughout the entire novel