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Brand Voice Profile

ASecurity

Define and store your brand voice profile for consistent content generation. Captures writing style, vocabulary patterns, tone preferences, and content rules. Use when generating content that matches your voice, onboarding a new content workflow, or ensuring consistency across platforms.

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  • Added June 7, 2026
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  • cli

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A100/100

Scanned June 7, 2026

npx -y skills add modbender/skill-library-mcp --skill brand-voice-profile --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: brand-voice
description: Define and store your brand voice profile for consistent content generation. Captures writing style, vocabulary patterns, tone preferences, and content rules. Use when generating content that matches your voice, onboarding a new content workflow, or ensuring consistency across platforms.
---

# Brand Voice

Store your writing style so AI-generated content sounds like you, not a robot.

## Quick Start

### Create Your Voice Profile

Talk to your agent naturally:

> "Let's set up my brand voice. I write casually, use short sentences, and like to make technical topics accessible. I never use corporate jargon. My audience is indie developers and solopreneurs."

The agent should then:
1. Ask follow-up questions to understand your style
2. Create a profile at `brand-voice/profile.json`
3. Use it when generating content for you

## Profile Structure

```json
{
  "name": "Your Brand",
  "created": "2026-02-22",
  "updated": "2026-02-22",
  
  "voice": {
    "tone": "casual, direct, slightly irreverent",
    "personality": ["helpful", "opinionated", "no-BS"],
    "formality": "informal",
    "humor": "dry wit, occasional sarcasm"
  },
  
  "writing": {
    "sentenceLength": "short to medium, punchy",
    "paragraphLength": "2-3 sentences max",
    "structure": "lead with the point, then explain",
    "formatting": ["use headers", "bullet points over paragraphs", "bold key phrases"]
  },
  
  "vocabulary": {
    "use": ["ship", "build", "hack", "vibe", "solid"],
    "avoid": ["utilize", "leverage", "synergy", "best practices", "learnings"],
    "jargon": "minimal, explain when used",
    "contractions": true
  },
  
  "audience": {
    "who": "indie developers, solopreneurs, tech-curious founders",
    "assumes": "basic technical literacy",
    "explains": "complex concepts simply"
  },
  
  "content": {
    "topics": ["AI", "automation", "building in public", "productivity"],
    "avoid": ["politics", "controversial takes without data"],
    "cta_style": "soft, value-first",
    "hashtags": "minimal, 1-3 max"
  },
  
  "platforms": {
    "twitter": {
      "maxLength": 280,
      "style": "punchy, hook-first",
      "threads": "use for longer ideas, 3-7 tweets"
    },
    "linkedin": {
      "style": "slightly more professional but still human",
      "formatting": "line breaks for readability"
    },
    "blog": {
      "style": "conversational, like talking to a friend",
      "length": "800-1500 words typical"
    }
  },
  
  "examples": {
    "good": [
      "Shipped a thing. It's rough but it works. Feedback welcome.",
      "Hot take: most 'AI strategies' are just ChatGPT with extra steps.",
      "Here's what I learned building X for 6 months..."
    ],
    "bad": [
      "We are pleased to announce the launch of our innovative solution.",
      "Leveraging cutting-edge AI to drive synergies across the value chain.",
      "πŸš€πŸ”₯πŸ’― HUGE NEWS!!! πŸ”₯πŸš€πŸ’―"
    ]
  }
}
```

## Usage

### When Generating Content

Reference the voice profile before writing:

```
Before generating:
1. Read brand-voice/profile.json
2. Match tone, vocabulary, and style
3. Check examples for calibration
4. Adapt for specific platform if specified
```

### Voice Check Prompt

After generating content, self-check:
- Does this sound like the examples in "good"?
- Does this avoid the patterns in "bad"?
- Does this match the tone and vocabulary rules?
- Would this fit on the specified platform?

### Multi-Brand Support

For agencies or multiple projects:

```
brand-voice/
  profiles/
    personal.json
    company.json
    client-a.json
```

Reference by name: "Use the client-a voice profile for this post."

## Building Your Profile

### The Interview

Ask the user these questions (conversationally, not as a checklist):

1. **Tone**: How would you describe your writing style in 3 words?
2. **Audience**: Who are you writing for? What do they already know?
3. **Formality**: LinkedIn-formal or Twitter-casual? Somewhere in between?
4. **Humor**: Serious? Playful? Sarcastic? None?
5. **Words you love**: Any phrases or words that feel very "you"?
6. **Words you hate**: Corporate speak? Emoji overload? What to avoid?
7. **Examples**: Share 2-3 things you've written that feel authentic.
8. **Anti-examples**: Share something that feels "off" or too corporate.

### Analyze Existing Content

If they have existing content, analyze it:

```
Read their last 10 posts/articles. Look for:
- Sentence length patterns
- Opening hook style
- Common phrases
- Vocabulary choices
- Formatting preferences
- CTA patterns
```

### Iterate

The profile isn't static. Update it when:
- User says "that doesn't sound like me"
- New topics or platforms are added
- Writing style evolves

## Integration with Other Skills

### With RSS Reader
```
1. Check RSS for trending topics
2. Pick an angle
3. Generate post using brand voice
4. Review and schedule
```

### With Content Schedulers (Metricool, etc.)
```
1. Load voice profile
2. Generate week of content
3. Apply platform-specific formatting
4. Queue for posting
```

### With Image Generation
```
Voice profile can include visual style:
{
  "visual": {
    "aesthetic": "clean, minimal, lots of whitespace",
    "colors": ["#1a1a1a", "#f5f5f5", "#0066cc"],
    "avoid": ["stock photo vibes", "corporate clip art"]
  }
}
```

## Tips

1. **Start simple** β€” you can always add detail later
2. **Use real examples** β€” they calibrate better than descriptions
3. **Platform-specific rules** β€” what works on Twitter fails on LinkedIn
4. **Update regularly** β€” voices evolve
5. **Test with the user** β€” generate, show, iterate

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