Back to Details

deep-voice-analysis

Compare original and translation side by side

🇺🇸

Original

English
🇨🇳

Translation

Chinese

Deep Voice Analysis — Premium Skill

深度写作风格分析——Premium Skill

Advanced writing voice analysis that goes far beyond the free style-clone skill. Analyzes your writing across 47 markers to create a forensic-level Voice Profile.
远超免费style-clone skill的高级写作风格分析。通过47个维度分析你的写作内容，生成专业级别的Voice Profile。

What Makes This Different From the Free Style-Clone Skill

与免费style-clone skill的区别

The free 
style-clone
skill does a basic voice analysis (~10 markers). This premium skill runs a 47-marker deep analysis that captures the invisible patterns that make YOUR writing yours — the kind of patterns that fool AI detectors because they encode genuine human writing habits.
免费的
style-clone
skill仅进行基础的写作风格分析（约10个维度）。这款付费skill可进行47维度深度分析，捕捉构成你独特写作风格的隐性模式——这类模式能骗过AI检测器，因为它们编码了真实的人类写作习惯。

The 47 Markers

47个维度

Rhythm Markers (12)

节奏维度（12项）

  1. Average sentence length (words)
  2. Sentence length variance (burstiness)
  3. Short sentence frequency (1-5 words)
  4. Medium sentence frequency (6-15 words)
  5. Long sentence frequency (16-25 words)
  6. Very long sentence frequency (26+)
  7. Paragraph average length (sentences)
  8. Paragraph length variance
  9. Scene-opening sentence length pattern
  10. Chapter-opening sentence length pattern
  11. Dialogue line average length
  12. Action beat average length
  1. 平均句长（单词数）
  2. 句长差异度（突发度）
  3. 短句出现频率（1-5词）
  4. 中句出现频率（6-15词）
  5. 长句出现频率（16-25词）
  6. 超长句出现频率（26词及以上）
  7. 平均段落长度（句子数）
  8. 段落长度差异度
  9. 场景开篇句长模式
  10. 章节开篇句长模式
  11. 对话平均句长
  12. 动作描写平均句长

Vocabulary Markers (10)

词汇维度（10项）

  1. Vocabulary richness (unique/total word ratio)
  2. Perplexity score (word unpredictability)
  3. Top 20 signature words (words you overuse — in a good way)
  4. Top 10 avoided words (words you never use)
  5. Formality level (casual ↔ academic)
  6. Jargon/domain-specific vocabulary
  7. Curse word frequency and type
  8. Sensory word distribution (sight/sound/touch/smell/taste)
  9. Emotional vocabulary range
  10. Abstract vs. concrete word ratio
  1. 词汇丰富度（独特词/总词数比例）
  2. 词汇复杂度得分（用词不可预测性）
  3. 20个标志性高频词（你过度使用的词——这是你的特色）
  4. 10个规避词（你从不使用的词）
  5. 正式程度（口语化 ↔ 学术化）
  6. 行话/领域特定词汇
  7. 脏话出现频率及类型
  8. 感官词汇分布（视觉/听觉/触觉/嗅觉/味觉）
  9. 情感词汇范围
  10. 抽象词与具体词比例

Structural Markers (8)

结构维度（8项）

  1. Narrative distance (close/medium/distant POV)
  2. Scene-to-sequel ratio
  3. Dialogue-to-narrative ratio
  4. Description density per scene
  5. Flashback/memory frequency
  6. Transition style (hard cuts vs. smooth)
  7. Chapter hook style (question, action, dialogue, mystery)
  8. White space usage (single-line paragraphs as emphasis)
  1. 叙事距离（近距离/中距离/远距离视角）
  2. 场景与过渡段比例
  3. 对话与叙事比例
  4. 单场景描写密度
  5. 闪回/回忆出现频率
  6. 过渡风格（硬切 vs 平滑过渡）
  7. 章节钩子风格（疑问、动作、对话、悬念）
  8. 留白使用（单句段落作为强调方式）

Dialogue Markers (7)

对话维度（7项）

  1. Tag preference (said/asked vs. creative tags)
  2. Action beat vs. tag ratio
  3. Average dialogue line length
  4. Subtext level (direct ↔ heavily implied)
  5. Interruption frequency
  6. Character voice differentiation score
  7. Monologue vs. rapid exchange ratio
  1. 标签偏好（said/asked vs 创意标签）
  2. 动作描写与标签比例
  3. 平均对话句长
  4. 潜台词程度（直白 ↔ 高度隐含）
  5. 对话打断频率
  6. 角色风格区分度得分
  7. 独白与快速对话比例

Punctuation & Mechanics (5)

标点与语法维度（5项）

  1. Em dash frequency
  2. Semicolon frequency
  3. Ellipsis frequency
  4. Exclamation mark frequency
  5. Parenthetical frequency
  1. 破折号使用频率
  2. 分号使用频率
  3. 省略号使用频率
  4. 感叹号使用频率
  5. 插入语使用频率

Voice & Tone (5)

风格与语气维度（5项）

  1. Humor type (dry, sarcastic, physical, dark, witty, none)
  2. Humor frequency
  3. Emotional register style (body-first, thought-first, action-first)
  4. Metaphor/simile density
  5. Overall humanness score (AI-detection bypass potential)
  1. 幽默类型（冷幽默、讽刺、肢体幽默、黑色幽默、机智幽默、无幽默）
  2. 幽默出现频率
  3. 情感表达风格（身体优先、想法优先、动作优先）
  4. 比喻/明喻密度
  5. 整体真实度得分（规避AI检测的潜力）

Analysis Process

分析流程

  1. Intake: Author provides 5,000+ words (ideal: 20,000+). Multiple samples across scenes/chapters is best.
  2. Tokenize: Break text into sentences, paragraphs, scenes, dialogue blocks.
  3. Measure: Calculate all 47 markers with statistical confidence.
  4. Compare: Benchmark against genre averages to identify what's distinctive.
  5. Generate: Create the Voice Profile markdown file.
  6. Validate: Show the author their profile and ask "does this sound like you?"
  1. 输入：作者提供5000词以上的文本（理想为20000词以上）。最好包含不同场景/章节的多个样本。
  2. 分词处理：将文本拆分为句子、段落、场景、对话块。
  3. 量化分析：计算所有47个维度的统计置信值。
  4. 基准对比：与同类型作品平均值对比，找出独特之处。
  5. 生成档案：创建Voice Profile markdown文件。
  6. 验证确认：向作者展示其风格档案并询问“这符合你的写作风格吗？”

Output: Enhanced Voice Profile

输出：增强版Voice Profile

Saved to 
workspace/soul/VOICE-PROFILE.md
with all 47 markers organized into sections that AuthorClaw's Soul system reads on every interaction.
markdown
undefined
保存至
workspace/soul/VOICE-PROFILE.md
，所有47个维度按章节组织，供AuthorClaw的Soul系统在每次交互时读取。
markdown
undefined

Voice Profile — Deep Analysis (47 Markers)

Voice Profile — Deep Analysis (47 Markers)

Generated: [date] | Sample size: [N] words

Generated: [date] | Sample size: [N] words

Humanness Score: [0-100]

Humanness Score: [0-100]

Rhythm

Rhythm

  • Avg sentence: [N] words | Variance: [N] (burstiness)
  • Distribution: [%] short / [%] medium / [%] long / [%] very long
  • Paragraphs: [N] sentences avg
  • Openers: [pattern description]
  • Avg sentence: [N] words | Variance: [N] (burstiness)
  • Distribution: [%] short / [%] medium / [%] long / [%] very long
  • Paragraphs: [N] sentences avg
  • Openers: [pattern description]

Vocabulary

Vocabulary

  • Richness: [score] | Perplexity: [score] | Formality: [level]
  • SIGNATURE WORDS (use naturally): [list]
  • NEVER USE: [anti-AI words list]
  • Sensory bias: [primary sense]
  • Richness: [score] | Perplexity: [score] | Formality: [level]
  • SIGNATURE WORDS (use naturally): [list]
  • NEVER USE: [anti-AI words list]
  • Sensory bias: [primary sense]

Structure

Structure

  • Narrative distance: [level]
  • Dialogue ratio: [%] of text
  • Description density: [level]
  • Chapter hooks: [dominant style]
  • Narrative distance: [level]
  • Dialogue ratio: [%] of text
  • Description density: [level]
  • Chapter hooks: [dominant style]

Dialogue

Dialogue

  • Tags: [preference] | Beats: [frequency]
  • Avg line: [N] words | Subtext: [level]
  • Voice differentiation: [score]
  • Tags: [preference] | Beats: [frequency]
  • Avg line: [N] words | Subtext: [level]
  • Voice differentiation: [score]

Mechanics

Mechanics

  • Em dashes: [freq] | Semicolons: [freq]
  • Ellipsis: [freq] | Exclamation: [freq]
  • Em dashes: [freq] | Semicolons: [freq]
  • Ellipsis: [freq] | Exclamation: [freq]

Voice

Voice

  • Humor: [type] at [frequency]
  • Emotional style: [body/thought/action]-first
  • Metaphor density: [level]
  • Humor: [type] at [frequency]
  • Emotional style: [body/thought/action]-first
  • Metaphor density: [level]

RULES FOR AI

RULES FOR AI

When writing as this author:
  1. Follow the sentence distribution above (this is critical for humanness)
  2. Use signature words naturally — don't force them but let them appear
  3. NEVER use the avoided words list
  4. Match the punctuation profile
  5. Keep the narrative distance at [level]
  6. Apply the [type] humor at appropriate moments
  7. Lead with [body/thought/action] for emotional moments
  8. Maintain [level] metaphor density — no more, no less
undefined
When writing as this author:
  1. Follow the sentence distribution above (this is critical for humanness)
  2. Use signature words naturally — don't force them but let them appear
  3. NEVER use the avoided words list
  4. Match the punctuation profile
  5. Keep the narrative distance at [level]
  6. Apply the [type] humor at appropriate moments
  7. Lead with [body/thought/action] for emotional moments
  8. Maintain [level] metaphor density — no more, no less
undefined

Commands

命令

  • deep voice analysis
    or 
    analyze my voice deeply
    — Start the full 47-marker analysis
  • show voice profile
    — Display the current enhanced profile
  • voice check [text]
    — Score new text against all 47 markers
  • voice report
    — Generate a detailed report comparing recent writing to the profile
  • update voice profile from [text]
    — Refine the profile with new sample data
  • deep voice analysis
    或 
    analyze my voice deeply
    —— 启动完整的47维度分析
  • show voice profile
    —— 显示当前的增强版风格档案
  • voice check [text]
    —— 根据所有47个维度为新文本评分
  • voice report
    —— 生成详细报告，对比近期写作内容与风格档案
  • update voice profile from [text]
    —— 使用新样本数据优化风格档案