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Agent Skill · 研究检索

brand-voice-learner(品牌语音学习器)

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。

brand-voice-learner 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 35,961。

总安装 1,999周安装 85GitHub Stars 85下载 977核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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-learner(品牌语音学习器)
来源仓库:https://github.com/guia-matthieu/clawfu-skills
仓库路径:skills/brand-voice-learner
安装命令:
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill brand-voice-learner
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。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill brand-voice-learner

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

brand-voice-learner 基于 NN/g 研究成果分析品牌内容,生成可操作的语音指导手册。适用于新写手入职培训、AI 工具训练与跨渠道声音一致性审计。结合语言学分析与维度映射技术,输出兼顾专业性与实用性的指南文档。Claude 负责模式识别与报告生成,最终解释权与策略决策仍由用户掌握。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/brand-voice-learner

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/guia-matthieu/clawfu-skills --skill brand-voic…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

brand-voice-learner 怎么安装?

在终端执行 npx skills add https://github.com/guia-matthieu/clawfu-skills --skill brand-voice-learner。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

brand-voice-learner 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

brand-voice-learner 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

brand-voice-learner 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

brand-voice-learner 用的人多吗?

公开数据是累计安装 1,999 次,近一周安装 85 次,下载 977 次,GitHub 85 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

brand-voice-learner 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
brand-voice-learner

品牌语音学习器 · 本页

1,99985只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Brand Voice Learner

Analyze existing brand content to extract voice characteristics, create actionable voice guidelines, and ensure consistent brand expression across all communications.

When to Use This Skill

  • Creating brand voice guidelines
  • Onboarding new writers
  • Auditing voice consistency
  • Adapting voice for channels
  • Training AI writing tools

Methodology Foundation

Based on NN/g voice research and content strategy best practices, combining:

  • Linguistic pattern analysis
  • Voice dimension mapping
  • Guidelines development
  • Consistency measurement

What Claude Does vs What You Decide

Claude DoesYou Decide
Analyzes existing contentContent sources to analyze
Extracts voice patternsVoice evolution direction
Creates voice guidelinesApproval of guidelines
Identifies inconsistenciesException handling
Suggests voice examplesFinal voice choices

Instructions

Step 1: Gather Voice Samples

Content to Analyze:

SourcePurpose
Website copyCore brand voice
Blog postsExtended voice
Social mediaCasual variation
Email campaignsDirect communication
Product UIFunctional voice
Customer supportEmpathetic voice

Sample Requirements:

  • Minimum 10-15 pieces
  • Variety of contexts
  • Include best examples
  • Cover different tones

Step 2: Analyze Voice Dimensions

Voice Dimension Framework:

DimensionSpectrum
FormalityCasual ←→ Formal
PersonalitySerious ←→ Playful
DirectnessIndirect ←→ Direct
EnthusiasmReserved ←→ Enthusiastic
TechnicalSimple ←→ Technical
WarmthDistant ←→ Warm

Step 3: Extract Patterns

Linguistic Elements:

ElementWhat to Identify
Sentence lengthShort, medium, long
Word choiceCommon, specialized, branded
ContractionsUsed, avoided, mixed
Active/passivePreference
PronounsWe/you/they patterns
PunctuationExclamations, ellipses, etc.

Step 4: Document Guidelines

Guidelines Structure:

  1. Voice principles (3-5)
  2. Dimension scores
  3. Do/Don't examples
  4. Channel variations
  5. Word lists

Step 5: Create Consistency Tools

Tools to Create:

  • Voice checklist
  • Example library
  • Word/phrase dictionary
  • Channel guidelines

Examples

Example 1: Complete Voice Analysis

Input:

Analyze brand voice from these samples:

Website: "We build tools that actually work. No fluff, no complexity—
just software that helps you get stuff done."

Blog: "Here's the thing about productivity apps: most of them make
your life harder, not easier. We think that's backwards."

Email: "Hey there! Your trial is almost over. Before you go, we wanted
to make sure you saw everything [Product] can do."

Social: "Mondays are hard. Your software shouldn't be. ☕"

Output:

## Brand Voice Analysis

### Voice Summary

**Overall Character:** Confident, casual, anti-corporate

Your brand sounds like a smart friend who's direct and relatable—
someone who gets frustrated by the same things your customers do
and isn't afraid to call out industry BS.

---

### Voice Dimensions

Formality [===|======] Casual (3/10) Personality [======|===] Playful (7/10) Directness [========|=] Very Direct (9/10) Enthusiasm [=====|====] Moderate (6/10) Technical [====|=====] Accessible (4/10) Warmth [======|===] Warm (7/10)

---

### Voice Principles

#### 1. Say it Straight
No corporate speak, no jargon inflation. If you can say it
in fewer words, do it.

**Examples:**
- ✅ "We build tools that actually work"
- ❌ "We leverage cutting-edge solutions to optimize..."

#### 2. Take Their Side
Position as ally against frustration. You share their pain
with the status quo.

**Examples:**
- ✅ "Most productivity apps make your life harder"
- ❌ "Our competitors offer suboptimal experiences"

#### 3. Stay Human
Contractions, casual language, occasional humor. Sound like
a person, not a press release.

**Examples:**
- ✅ "Here's the thing about..."
- ❌ "It is important to note that..."

#### 4. Confident, Not Arrogant
State opinions clearly without hedging, but don't put
others down.

**Examples:**
- ✅ "No fluff, no complexity"
- ❌ "Unlike those other terrible apps..."

---

### Linguistic Patterns

| Element | Pattern | Examples |
|---------|---------|----------|
| Sentence length | Short to medium (8-15 words average) | "We think that's backwards." |
| Contractions | Always used | "That's", "shouldn't", "we're" |
| Pronouns | Heavy "we/you" | Creates conversational feel |
| Active voice | Strong preference | "We build" not "Tools are built" |
| Punctuation | Occasional em-dashes, rare exclamations | "No fluff—just software" |
| Emoji | Occasional, relevant | Coffee emoji for Monday post |

---

### Voice Do's and Don'ts

#### DO ✅

| Pattern | Example |
|---------|---------|
| Use contractions | "We're building" not "We are building" |
| Start with "Here's the thing" | Conversational opener |
| Use "actually" for emphasis | "Tools that actually work" |
| Reference shared frustrations | "Mondays are hard" |
| Keep paragraphs short | 2-3 sentences max |
| Use second person | "Your trial" "helps you" |

#### DON'T ❌

| Pattern | Why Not |
|---------|---------|
| "Leverage" "optimize" "synergy" | Corporate jargon |
| "We are pleased to announce" | Stiff, formal |
| Passive voice | "Was built by our team" |
| Hedging language | "We think maybe possibly..." |
| Long, complex sentences | Loses casual feel |
| Excessive exclamation points | Feels fake enthusiastic |

---

### Word Choice Guide

#### Preferred Terms

| Instead of | Use |
|------------|-----|
| Utilize | Use |
| Leverage | Use |
| Solutions | Tools, software |
| Empower | Help |
| Seamless | Easy, simple |
| Robust | Strong, reliable |
| Best-in-class | (just show, don't tell) |
| Cutting-edge | New, latest |

#### Signature Phrases

| Phrase | When to Use |
|--------|-------------|
| "Here's the thing" | Starting opinion pieces |
| "Actually" | Emphasizing real value |
| "No [negative], no [negative]" | Simple value props |
| "That's backwards" | Calling out industry norms |

---

### Channel Variations

#### Website (Core Voice)
- Most polished version
- Still casual but refined
- Slightly higher stakes language

#### Blog (Extended Voice)
- More conversational
- Can be longer, more exploratory
- Personal opinions encouraged

#### Social Media (Compressed Voice)
- Shortest, punchiest
- More humor allowed
- Emoji occasionally OK
- Can reference current events/culture

#### Email (Direct Voice)
- Friendly but action-oriented
- "Hey there" openings OK
- Clear CTAs
- Personal where possible

#### Support (Empathetic Voice)
- Warmer, more patient
- Solution-focused
- Less attitude, more help
- Still casual but careful

---

### Voice Checklist

Before publishing, check:

- [ ] Would you say this to a friend?
- [ ] Are there any "corporate speak" words?
- [ ] Is it shorter than it could be?
- [ ] Is the main point clear?
- [ ] Does it sound like us, not a competitor?
- [ ] Would it make sense without context?

Example 2: Quick Voice Audit

Input:

Does this match our voice?
"We are delighted to inform you that your request has been
processed and the desired outcome has been achieved."

Output:

## Voice Audit

### Verdict: ❌ Does Not Match

---

### Issues Found

| Problem | Example | Should Be |
|---------|---------|-----------|
| Too formal | "We are delighted" | "Great news!" |
| Passive voice | "has been processed" | "We processed" |
| Corporate speak | "desired outcome" | "what you wanted" |
| Stiff structure | Full sentence | Shorter, direct |

---

### Rewritten

**Original:**
> "We are delighted to inform you that your request has been
> processed and the desired outcome has been achieved."

**On-brand version:**
> "Good news! We've taken care of your request—you're all set."

**Even more casual:**
> "Done! Your request went through. You're good to go."

---

### What Went Wrong

This sounds like a corporate auto-reply, not your brand.
It has:
- No contractions
- Passive voice
- Formal phrasing
- No personality

Your brand would sound like a helpful friend delivering good news,
not a legal notice.

Skill Boundaries

What This Skill Does Well

  • Analyzing existing content
  • Extracting voice patterns
  • Creating guidelines
  • Auditing consistency

What This Skill Cannot Do

  • Create voice from scratch
  • Know your brand strategy
  • Access all your content
  • Replace brand judgment

Iteration Guide

Follow-up Prompts:

  • "Rewrite this in our brand voice"
  • "Create voice variations for [channel]"
  • "Audit these samples for consistency"
  • "Add to our word/phrase dictionary"

References

  • NN/g Voice and Tone Guidelines
  • Content Strategy Alliance
  • Mailchimp Voice and Tone
  • Buffer Brand Voice Guide

Related Skills

  • brand-strategy - Overall brand development
  • copywriting-ogilvy - Writing craft
  • storytelling-storybrand - Narrative voice

Skill Metadata

  • Domain: Branding / Content
  • Complexity: Intermediate
  • Mode: cyborg
  • Time to Value: 2-4 hours for full guidelines
  • Prerequisites: Content samples, brand context

平台分布

Codex

34.45%
按下载量换算337

Claude

28.86%
按下载量换算282

Cursor

17.16%
按下载量换算168

Gemini CLI

9.92%
按下载量换算97

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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