MCP HubMCP Hub
SKILL·DD3B8B

brand-voice

rampstackco
업데이트됨 27 days ago
4 조회
953
132
953
GitHub에서 보기
메타wordaitestingdesign

정보

`brand-voice` 스킬은 속성, 어휘, 상황별 어조 변화를 포함한 완전한 브랜드 보이스와 톤 시스템을 정의하고 문서화합니다. 이 스킬은 보이스 가이드라인 작성, 카피 일관성 감사, 팀/인공지능에 브랜드 개성 교육이 필요할 때 트리거됩니다. 이 스킬은 보이스 시스템 자체를 구축하는 데 사용하세요. 반면, 기존 가이드라인에 따라 특정 원고를 검토하려면 `editorial-qa` 스킬을 사용합니다.

빠른 설치

Claude Code

추천
기본
npx skills add rampstackco/claude-skills -a claude-code
플러그인 명령대체
/plugin add https://github.com/rampstackco/claude-skills
Git 클론대체
git clone https://github.com/rampstackco/claude-skills.git ~/.claude/skills/brand-voice

Claude Code에서 이 명령을 복사하여 붙여넣어 스킬을 설치하세요

문서

Brand Voice

Define how a brand sounds in writing. Document it in a way that anyone (writer, designer, founder, AI assistant) can apply it consistently.

This skill produces a standalone voice document that can either live in the brand style guide or feed into it.


When to use

  • Defining brand voice for the first time
  • Auditing existing copy for voice consistency
  • Training a team, freelancer, or AI assistant on the brand voice
  • Refining a voice that exists but is inconsistent across applications
  • Adapting voice when a brand evolves (new audience, new positioning)

When NOT to use

  • Writing specific copy (use content-and-copy)
  • Brand visual identity work (use brand-identity)
  • Documenting a complete brand system (use brand-style-guide, which incorporates voice)
  • Initial brand exploration (use brand-ideation)

Required inputs

  • The brand and its positioning
  • The audience and what they need to hear
  • 5 to 10 examples of existing brand writing (if any)
  • 3 to 5 reference brands whose voice resonates with where this brand should go
  • Any voice attributes already specified in the brief

The framework: 4 layers

Voice has four layers, stacked. Each layer constrains the one below it.

Layer 1: Voice attributes

The constants. The personality traits that define how the brand sounds across every context.

Pick 3 to 5 attributes. Pair each with what it is NOT (the failure mode if overdone).

Common attribute pairings (NOT a menu - generate your own):

  • Confident, not arrogant
  • Direct, not blunt
  • Warm, not saccharine
  • Witty, not sarcastic
  • Smart, not academic
  • Honest, not harsh
  • Playful, not silly
  • Practical, not boring
  • Bold, not loud
  • Curious, not unfocused

The "not" half is what saves writers from overshooting. "Confident" alone produces swagger. "Confident, not arrogant" tells writers where the line is.

Layer 2: Tone shifts

Voice is constant. Tone adapts to context.

Map the major contexts the brand writes in. For each, document how voice expresses differently.

Common contexts:

ContextTone shift
OnboardingWarmer, more enthusiastic, slightly slower pace
Hero / marketingConfident, signature voice fully on
Product copy / UXDirect, helpful, brief
Error messagesCalm, matter-of-fact, no apology theater
Success statesBrief celebration, redirect to next action
Empty statesHelpful, slightly playful, suggest action
404 / not foundSelf-aware, light, points the way home
Account deletion / cancellationQuiet, respectful, no jokes
PricingDirect, transparent, confidence-inspiring
Legal / TOSPlain language version sits next to the legal version
Support / help centerPatient, thorough, no condescension
Crisis communicationCalm, factual, accountable
Product announcementsExcited but not breathless
Email subject linesSpecific, never click-bait

Voice stays consistent across all of these. Tone is what shifts.

Layer 3: Vocabulary and grammar

The granular dial settings.

Vocabulary preferences:

  • Words and phrases the brand uses
  • Words and phrases the brand avoids
  • Words the brand has redefined (if any) - e.g., a SaaS product calling its features "huddles" instead of "meetings"
  • Industry jargon: keep it (signals expertise) or strip it (signals approachability)
  • Sentence-opening preferences (some brands lean on imperatives, some on questions, some on statements)

Grammar and style:

  • Contractions (use them = casual, avoid them = formal)
  • Sentence length default (short = punchy, medium = considered, long = literary)
  • Punctuation marks favored or avoided (em dash is famously polarizing)
  • Pronouns ("we" / "you" / "I")
  • Capitalization style (title case, sentence case, all-lowercase deliberate)
  • Number formatting (spell out under ten, or always digits)
  • Oxford comma (use or skip)
  • Active vs passive voice (most brands prefer active)

Layer 4: Examples and patterns

Voice is taught through examples, not rules. Build a library.

For each major content type, show:

  • Bad example (off-voice)
  • Good example (on-voice)
  • Brief note on what changed

Cover the content types listed in the paired examples library of references/voice-document-template.md. The template owns that list, so there is one list to maintain rather than two that drift apart.

The floor is 15 paired examples. One pair per type in the template clears it. Past 25 the library gets harder to scan than to use, so treat 25 as the practical ceiling, not a hard cap. This is the most-used part of the voice doc in practice.


Workflow

  1. Pick the entry point. references/voice-frameworks.md has a "Choosing a framework" section that decides this. A brand starting from zero begins with archetypes there, then dimensions, then attributes, and rejoins this workflow at step 2. Everything below assumes copy exists to audit.
  2. Audit existing copy if it exists. Identify what is on-brand, what is off, what patterns recur.
  3. Layer 1: Voice attributes. Generate 5 to 8 candidates with "we are X, not Y" framing. Pick 3 to 5.
  4. Layer 2: Tone shifts. List 8 to 15 contexts the brand writes in. Note the tone shift for each.
  5. Layer 3: Vocabulary and grammar. Define preferences. Skip default rules unless they actually distinguish the brand.
  6. Layer 4: Examples. Build the paired-example library against the template's content-type list, to the floor stated in the Layer 4 section above.
  7. Stress-test. Pick a fresh writing brief and apply the voice doc. Score the result with the stress test in references/voice-frameworks.md: 1 to 5 against each attribute, and anything scoring below 3 on any attribute is off-voice. Below 3 means the doc is incomplete, not that the copy needs another pass.
  8. Document. Use the template in references/voice-document-template.md.
  9. Distribute. Voice docs only work if they get used. Make the doc easy to reference inline (link to it from CMS templates, brief templates, AI assistant prompts).

Failure patterns

  • Generic attributes ("friendly, professional, approachable"). Every brand says this. Means nothing. Pick attributes that genuinely distinguish.
  • No "we are NOT" pairings. Without the rejection, attributes drift toward extremes.
  • Voice doc with no examples. Rules without examples cannot be applied.
  • Examples that are obviously bad and obviously good. Real voice work shows nuanced shifts, not cartoonish before/after.
  • Skipping tone shifts. Treating voice as one-size-fits-all leads to a brand that sounds wrong in error states or legal contexts.
  • Documenting aspirational voice. If the brand does not actually sound this way today and has no plan to shift, the doc is fiction.
  • Voice without distribution. A perfect doc that no one references is worth nothing.

Output format

Default output is a markdown document at voice.md in the brand folder. Sections:

  1. Voice attributes (with we-are-not pairings)
  2. Tone shifts by context
  3. Vocabulary preferences
  4. Grammar and style rules
  5. Paired examples library (the most-used section)
  6. Anti-patterns (specific phrases or constructions to avoid)
  7. References (the brands and writers we are inspired by)

This doc can stand alone or feed into brand-style-guide.


Reference files

GitHub 저장소

rampstackco/claude-skills
경로: dist/codex/.agents/skills/brand-voice
0
agent-skillsai-agentsanthropicclaudeclaude-aiclaude-code
FAQ

자주 묻는 질문

brand-voice Skill이란 무엇인가요?

brand-voice은(는) rampstackco이(가) 만든 Claude Skill입니다. Skill은 Claude가 필요할 때 불러오는 지침과 리소스를 묶어 추가 프롬프트 없이 brand-voice 관련 작업을 수행할 수 있게 합니다.

brand-voice은(는) 어떻게 설치하나요?

이 페이지의 설치 명령을 사용하세요. brand-voice을(를) Claude Code 플러그인으로 추가하거나 저장소를 skills 디렉터리에 복제한 다음 Claude를 다시 시작해 Skill을 불러옵니다.

brand-voice은(는) 어떤 카테고리에 속하나요?

brand-voice은(는) 메타 카테고리에 속합니다.

brand-voice은(는) 무료로 사용할 수 있나요?

네. brand-voice은(는) AIMCP에 등록되어 있으며 무료로 설치할 수 있습니다.

연관 스킬

content-collections
메타

이 스킬은 콘텐츠 콜렉션(Content Collections)을 위한 프로덕션 검증된 설정을 제공합니다. 콘텐츠 콜렉션은 Markdown/MDX 파일을 Zod 검증이 포함된 타입 안전한 데이터 콜렉션으로 변환해주는 TypeScript 최우선 도구입니다. 블로그, 문서 사이트 또는 콘텐츠 중심의 Vite + React 애플리케이션을 구축할 때 타입 안전성과 자동 콘텐츠 검증을 보장하기 위해 사용하세요. Vite 플러그인 구성과 MDX 컴파일부터 배포 최적화 및 스키마 검증에 이르기까지 모든 것을 다룹니다.

스킬 보기
polymarket
메타

이 스킬은 개발자들이 Polymarket 예측 시장 플랫폼을 활용한 애플리케이션을 구축할 수 있도록 지원하며, 거래 및 시장 데이터를 위한 API 통합 기능을 포함합니다. 또한 WebSocket을 통한 실시간 데이터 스트리밍을 제공하여 실시간 거래와 시장 활동을 모니터링할 수 있습니다. 이를 통해 거래 전략을 구현하거나 실시간 시장 업데이트를 처리하는 도구를 생성하는 데 활용할 수 있습니다.

스킬 보기
creating-opencode-plugins
메타

이 스킬은 개발자들이 명령어, 파일, LSP 작업 등 25개 이상의 이벤트 유형에 연결되는 OpenCode 플러그인을 만들 수 있도록 돕습니다. JavaScript/TypeScript 모듈을 위한 플러그인 구조, 이벤트 API 명세, 구현 패턴을 제공합니다. OpenCode AI 어시스턴트의 라이프사이클을 사용자 정의 이벤트 기반 로직으로 가로채거나, 모니터링하거나, 확장해야 할 때 사용하세요.

스킬 보기
sglang
메타

SGLang은 RadixAttention 프리픽스 캐싱을 활용하여 JSON, 정규식, 에이전트 워크플로우를 위한 고속 구조화 생성에 특화된 고성능 LLM 서빙 프레임워크입니다. 특히 반복되는 프리픽스가 있는 작업에서 상당히 빠른 추론 속도를 제공하여 복잡한 구조화 출력 및 다중 턴 대화에 이상적입니다. 제약 디코딩이 필요하거나 광범위한 프리픽스 공유가 있는 애플리케이션을 구축할 때는 vLLM과 같은 대안보다 SGLang을 선택하십시오.

스킬 보기