sumeru-finalize

Web Novel Manuscript Finalization Verification

Trigger Keywords

Core Features

1. Check for typos, punctuation marks, and grammatical errors
2. Screening of sensitive and non-compliant content
3. Unified format specification: chapter titles, paragraph formatting, punctuation standards
4. Full text word count and manuscript finalization report generation
5. Export adapted to different platform publishing formats
6. Batch replacement function
7. Automatic paragraph segmentation function

Skill Boundary Description: This Skill is responsible for technical text verification (typos/punctuation/grammar), while the

sumeru-polish

Skill focuses on stylistic and content-level optimization. The two complement each other without overlap. Users should still perform final technical verification via finalize after polishing.

Sub-Agent Parallel Verification Mechanism

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

flowchart LR
    A[批量校验任务] --> B[读取章节列表与校验配置]
    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 → 校验章节 → 生成错误报告 → 导出格式]
    F --> G{队列是否为空?}
    G -->|否| F
    G -->|是| H[汇总校验结果，合并错误报告，生成完稿报告]

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

• Check for typos, punctuation, and grammatical errors
• Sensitive word detection (according to three-level standards)
• Unified format specification
• Format export corresponding to the platform

Output Content

• Error list: typos, punctuation errors, grammatical issues
• Sensitive content prompts: non-compliant content that needs adjustment
• Clean full-text version after verification
• Manuscript finalization report: total word count, number of chapters, core content summary
• Multi-platform publishing format versions (Qidian, Fanqie, Jinjiang, etc.)

Export Format Rules for Each Platform

Qidian Chinese Network (qidian)

• Chapter title format:

  Chapter X Title Content

  , centered alignment
• First line indent of 2 characters for paragraphs
• One blank line between paragraphs
• Use Chinese full-width punctuation marks
• Recommended chapter word count: 3000-5000 words
• Prohibited use of special symbols as chapter titles
• Dialogue is in separate paragraphs

Fanqie Novel (fanqie)

• Chapter title format:

  Chapter X Title Content

• No first line indent for paragraphs, one blank line between paragraphs
• Keep sentences as short as possible for mobile reading
• Recommended chapter word count: 2000-3000 words
• Key content can use bold formatting
• Dialogue is wrapped in quotation marks, with speakers in separate paragraphs or noted at the end of the sentence

Jinjiang Literature City (jjwxc)

• Chapter title format:

  Chapter X Title Content

• Supports HTML format tags
• First line indent of 2 characters for paragraphs
• Recommended chapter word count: 2500-4000 words
• Separate setting for the "Author's Notes" section
• Supports chapter summaries

Zongheng Chinese Network (zongheng)

• Chapter title format:

  Chapter X Title Content

• First line indent of 2 characters for paragraphs
• Recommended chapter word count: 3000-6000 words
• Supports volume division settings
• Use Chinese full-width punctuation marks in accordance with standards

17K Novel Network (17k)

• Chapter title format:

  Chapter X Title Content

• First line indent of 2 characters for paragraphs
• Recommended chapter word count: 2000-4000 words
• Supports chapter previews
• Can set a preview for the next chapter at the end of each chapter

Sensitive Word Detection Standards

Level 1 Sensitivity (Must be modified)

• Content violating national laws and regulations
• Involving politically sensitive figures and events
• Pornographic and obscene descriptions
• Violent and terrorist content
• Speech splitting the country and undermining ethnic unity
• Religious extremist content

Level 2 Sensitivity (Recommended modification)

• Excessively bloody and violent detailed descriptions
• Vulgar language and swear words
• Medical descriptions that may cause discomfort
• Inappropriate content involving minors
• Descriptions related to gambling and drugs
• Content infringing on others' privacy

Level 3 Sensitivity (Optimization suggestions)

• Excessive internet slang affecting reading
• Ambiguous expressions
• Potentially controversial topics
• Overuse of internet memes
• Repetitive and redundant expressions

Error Level Prompt

Severe Errors (Marked in red)

• Typos that completely change the semantic meaning
• Level 1 sensitive word violations
• Chapter title format completely non-compliant with specifications
• Severe confusion in paragraph structure
• Large-scale punctuation errors

Moderate Errors (Marked in yellow)

• General typos
• Non-standard use of punctuation marks
• Level 2 sensitive word content
• Inconsistent paragraph formatting
• Grammatical errors affecting understanding

Minor Errors (Marked in blue)

• Recommended optimized wording
• Punctuation marks can be more standardized
• Level 3 sensitive word content
• Paragraph typesetting can be further beautified
• Suggestions for repetitive expressions

Batch Replacement Function Description

Feature Characteristics

• Supports global batch replacement of specified vocabulary
• Supports regular expression replacement
• Supports preview confirmation before replacement
• Supports simultaneous execution of multiple sets of replacement rules
• Supports querying replacement history records

Usage Scenarios

1. Unified modification of character names
2. Batch adjustment of place names and setting names
3. Batch replacement of sensitive words
4. Unified specification of punctuation marks
5. Batch conversion of internet slang

Operation Methods

• Preset rules: Select commonly used replacement rule templates
• Custom rules: Manually enter search content and replacement content
• Regular expression mode: Use regular expressions for complex matching
• Confirm replacement: View replacement preview before confirming execution

Automatic Paragraph Segmentation Function Description

Feature Characteristics

• Intelligent recognition of dialogue and narrative content
• Automatic paragraph segmentation based on sentence length
• Supports custom paragraph word count threshold
• Maintains logical integrity of paragraphs
• Dialogue is automatically placed in separate paragraphs

Segmentation Rules

1. Dialogue priority: Dialogue content is automatically placed in separate paragraphs
2. Word count control: Recommended 100-300 words per paragraph
3. Logical integrity: Avoid segmentation in the middle of a sentence
4. Scene switching: Automatic segmentation when scenes change
5. Psychological activities: Proper segmentation of long psychological descriptions

Configurable Parameters

• Maximum paragraph word count (default 300 words)
• Minimum paragraph word count (default 50 words)
• Whether to force dialogue into separate paragraphs
• Whether to add dividing lines when scenes switch
• Whether to retain original paragraph structure

Data Persistence

.sumeru/finalize/

• clean/full-text.md

  : Clean full-text version after verification

• clean/chapters/

  : Clean version files split by chapter

• error-report.json

  : Error list including all issues such as typos, punctuation, sensitive words, etc.

• stats.json

  : Manuscript finalization statistical report, including total word count, number of chapters, average chapter length, etc.

• export-config.json

  : Export configuration parameters for each platform

• publish/

  : Export versions for each platform, stored by platform name

Cooperation with Other Skills

• Preceding Skills: Read final chapter content
  • By default, reads the latest chapter content from

    chapters/

    (review fixes and polish revisions directly modify chapters/, no additional operations required)

Data Reuse

• Can re-export other platform formats at any time without re-verification
• Error reports can be used as reference for avoiding issues in subsequent writing
• Supports incremental export: only regenerate platform versions for corresponding chapters after modifying some chapters