Deep Voice Analysis

Deep Voice Analysis — 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.

What Makes This Different From the Free Style-Clone Skill

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.

The 47 Markers

Rhythm Markers (12)

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

Vocabulary Markers (10)

13. Vocabulary richness (unique/total word ratio)
14. Perplexity score (word unpredictability)
15. Top 20 signature words (words you overuse — in a good way)
16. Top 10 avoided words (words you never use)
17. Formality level (casual ↔ academic)
18. Jargon/domain-specific vocabulary
19. Curse word frequency and type
20. Sensory word distribution (sight/sound/touch/smell/taste)
21. Emotional vocabulary range
22. Abstract vs. concrete word ratio

Structural Markers (8)

23. Narrative distance (close/medium/distant POV)
24. Scene-to-sequel ratio
25. Dialogue-to-narrative ratio
26. Description density per scene
27. Flashback/memory frequency
28. Transition style (hard cuts vs. smooth)
29. Chapter hook style (question, action, dialogue, mystery)
30. White space usage (single-line paragraphs as emphasis)

Dialogue Markers (7)

31. Tag preference (said/asked vs. creative tags)
32. Action beat vs. tag ratio
33. Average dialogue line length
34. Subtext level (direct ↔ heavily implied)
35. Interruption frequency
36. Character voice differentiation score
37. Monologue vs. rapid exchange ratio

Punctuation & Mechanics (5)

38. Em dash frequency
39. Semicolon frequency
40. Ellipsis frequency
41. Exclamation mark frequency
42. Parenthetical frequency

Voice & Tone (5)

43. Humor type (dry, sarcastic, physical, dark, witty, none)
44. Humor frequency
45. Emotional register style (body-first, thought-first, action-first)
46. Metaphor/simile density
47. Overall humanness score (AI-detection bypass potential)

Analysis Process

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?"

Output: Enhanced 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.

# Voice Profile — Deep Analysis (47 Markers)
## Generated: [date] | Sample size: [N] words

## Humanness Score: [0-100]

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

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

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

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

## Mechanics
- Em dashes: [freq] | Semicolons: [freq]
- Ellipsis: [freq] | Exclamation: [freq]

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

## 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

Commands

• 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