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SKILL verified MIT Self-run

Voice Dna Creator

skill-bam-bam-2-solo-skills-voice-dna-creator · by bam-bam-2

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.

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Install

$ agentstack add skill-bam-bam-2-solo-skills-voice-dna-creator

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.