Voice Extract

# Scan for samples
PROFILE_DIR="$HOME/.claude/voice-profiles/{name}"
mkdir -p "$PROFILE_DIR/samples"

# Copy samples from user-provided directory
# Rename to Sample-01.md, Sample-02.md, etc.

Paste your writing sample below (minimum 200 words).
Type END on a new line when done.

{
  "profile_name": "{name}",
  "created": "YYYY-MM-DD",
  "samples": [
    {
      "id": "sample-01",
      "original_source": "anonymized",
      "word_count": 450,
      "date_added": "YYYY-MM-DD"
    }
  ],
  "extraction_model": "opus",
  "extraction_date": null,
  "registers": ["default"]
}

Write a short piece about [topic extracted from sample].
Use your natural default style. Do not try to match any
particular voice or style. Just write naturally about this
subject in approximately [word_count] words.

I'm going to show you pairs of text. In each pair:
- Text A is written by a specific person
- Text B is your default output on the same topic

Your task: describe what the writer of Text A does
differently from your default style. Focus on:

- Structural patterns (paragraph shapes, section architecture)
- Rhetorical moves (how they build arguments, make transitions)
- Tonal devices (hedging patterns, commitment patterns)
- Sentence-level techniques (clause structure, rhythm)
- Vocabulary tendencies (physical vs abstract language,
  technical vs conversational)
- Distinctive habits (parentheticals, fragments, questions)

Do NOT describe surface metrics (average sentence length,
word count). Describe the voice in terms a writer could
follow. Be specific enough that someone could use your
description to imitate this voice.

[Pairs follow]

Review your feature description. For each characteristic
you identified, answer:

1. Could this describe 50% of writers? If yes, be more
   specific or remove it.
2. Can someone follow this as a concrete instruction?
   If not, add an example from the samples.
3. Are there patterns you noticed but didn't name?
   Writers often have unnamed habits. Look for:
   - How they use parentheticals
   - Where they commit vs hedge
   - Physical language for abstract concepts
   - Rhythm of building caution then dropping unhedged claims
   - How they anticipate reader objections

Revise your description to be more specific and followable.

# Voice Extraction: {name}

## Feature Description

[SICO extraction output here]

## Craft Rules (Detection-Neutral)

These techniques improve writing without increasing
AI detectability:

- Concrete-first: Lead with specific, physical details
- Naming: Label patterns and dynamics explicitly
- Opening moves: Start mid-thought or with a specific moment
- Human-moment anchoring: Ground abstractions in lived experience
- Aphoristic destinations: Write sentences worth repeating alone

## Banned Phrases

[Standard AI vocabulary list + user additions]

## Notes

- Extraction model: {model}
- Extraction date: {date}
- Sample count: {n}
- Total word count: {words}