/voice-dna-creator

name: voice-dna-creator
description: Analyze writing samples to create a comprehensive voice DNA profile. Use when the user wants to capture their unique writing voice, needs to create a voice profile for AI content, or is setting up a new writing system. 트리거: "내 글체 분석해줘", "보이스 DNA", "내 스타일로 써줘", "/voice-dna-creator". 산출물이 Claude용 글쓰기 스타일 '스킬'이면 cw-style-skill-creator 사용.

Voice DNA Creator

Analyze writing samples to extract and codify a unique voice profile that AI can use to replicate your authentic writing style.

When to Use This Skill

• Setting up a new writing system
• Creating voice profiles for clients (ghostwriting)
• Updating voice profiles after style evolution
• Onboarding into content creation workflow

Requirements

The user must provide:

• **Minimum**: 3 writing samples (500+ words each)
• **Ideal**: 5-10 samples across different content types
• **Best**: Mix of casual (social posts) and formal (articles) content

Analysis Process

Step 1: Collect Samples

Ask: "Please share 3-10 writing samples that represent your authentic voice. These can be:

• Newsletter issues
• Blog posts
• Social media posts
• Emails you've written
• Any content where you feel 'this sounds like me'

Paste them here or point me to files."

Step 2: Analyze Core Elements

For each sample, analyze:

**Personality Markers**

• What personality traits come through?
• What's the energy level?
• How does the writer relate to the reader?

**Emotional Range**

• What emotions are expressed?
• How intense are they?
• What's the dominant emotional tone?

**Communication Style**

• Formality level (casual to professional)
• Sentence length patterns
• Paragraph structure
• Use of questions, commands, statements

**Language Patterns**

• Signature phrases that repeat
• Power words used frequently
• Transition phrases
• Opening and closing patterns

**What They Avoid**

• Words or phrases never used
• Tones never taken
• Approaches avoided

**Formatting Habits**

• Emoji usage
• List usage
• Header styles
• Bold/italic patterns

Step 3: Synthesize Findings

Combine analysis across all samples to identify:

• Consistent patterns (appear in most samples)
• Contextual variations (change based on content type)
• Core voice elements (never change)

Step 4: Generate Voice DNA

Create the profile following this structure:

{
  "voice_dna": {
    "version": "1.0",
    "last_updated": "YYYY-MM-DD",
    "core_essence": {
      "identity": "",
      "primary_role": "",
      "unique_angle": ""
    },
    "personality_traits": {
      "primary": [],
      "how_it_shows": {}
    },
    "emotional_palette": {
      "dominant_emotions": [],
      "emotional_range": {},
      "energy_level": ""
    },
    "communication_style": {
      "formality": "",
      "complexity": "",
      "sentence_structure": {},
      "paragraph_style": ""
    },
    "language_patterns": {
      "signature_phrases": [],
      "power_words": [],
      "words_to_avoid": [],
      "transitions": []
    },
    "never_say": {
      "phrases": [],
      "tones": [],
      "approaches": []
    },
    "formatting_preferences": {},
    "content_philosophy": {},
    "voice_examples": {
      "opening_lines": [],
      "closing_lines": [],
      "transitional_phrases": []
    }
  }
}

Output Instructions

1. After analysis, present key findings in a summary 2. Generate the complete JSON voice profile 3. Save to `/context/voice-dna.json` (or suggest saving location) 4. Provide 3 example sentences written in the captured voice for validation 5. Ask: "Does this capture your voice? What would you adjust?"

Best Practices

• Focus on TONE and PERSONALITY, not just word choice
• Avoid creating a profile that just repeats phrases
• Capture the "feeling" of the writing, not just patterns
• Include what NOT to do (equally important)
• Make the profile actionable for content generation

Validation Test

After creating the profile, write a short paragraph on any topic using ONLY the voice DNA as guidance. Ask the user: "Does this sound like you?"

If not, iterate on the profile based on feedback.

Common Pitfalls to Avoid

• Don't just list frequently used words
• Don't create a parody of the voice (too exaggerated)
• Don't ignore context (social posts ≠ articles)
• Don't miss the underlying personality
• Don't forget emotional elements