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brand-voice-profile品牌声音简介

Agent Skill

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:brand-voice-profile(品牌声音简介)
来源仓库:https://github.com/dimitripantzos/brand-voice-profile
安装命令:
openclaw skills install brand-voice-profile
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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openclaw skills install brand-voice-profile

简介

用于创建和管理品牌声音配置文件,确保内容风格一致。

  • 捕捉写作风格、语气偏好和内容规则,支持快速调用。
  • 使用时需提供品牌定位与示例文本以初始化配置。
  • 适合长期内容运营和品牌一致性维护。brand-voice-profile 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 安装前请核实权限范围及是否会触发敏感数据处理。

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

{
  "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.",
      "🚀🔥💯 HUGE NEWS!!! 🔥🚀💯"
    ]
  }
}

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

适合场景

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