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  1. Home
  2. Skills
  3. Brand Voice
AI-skillRun brand voiceMarketing

When copy drifts off-voice, build a brand voice document writers and AI assistants can apply consistently. — Claude Skill

Een Claude-skill voor Claude Code door Rampstack — uitvoeren met /brand-voice in Claude·Bijgewerkt op 22 mei 2026

Compatibel metChatGPT·Claude·Gemini·OpenClaw

Define how the brand sounds so every writer stays on-voice.

  • Voice attributes paired with what they are NOT (confident, not arrogant) to prevent drift
  • Tone shifts mapped across 8 to 15 contexts (onboarding, errors, pricing, cancellation)
  • Vocabulary preferences plus grammar rules (contractions, pronouns, sentence length defaults)
  • Paired-example library of 15 to 25 bad-vs-good copy samples writers actually use
  • Stress-test step that re-runs a real brief against the doc before sign-off

Voor wie

Marketing Lead

Marketing leads ship a single voice doc that aligns 3 to 10 writers, freelancers, and AI assistants on how the brand sounds; cuts editor rework cycles per draft.

Skills voor deze rol bekijken
Content Marketer

Content marketers reference the paired-example library every time they draft a new piece; reduces voice-drift comments from editors.

Skills voor deze rol bekijken

Wat het doet

First-time brand voice for a 12-person startup

Marketing lead has zero documented voice; produces a 4-layer voice doc in one working session, distributed to 3 freelance writers next morning.

Voice audit after a rebrand

Catalogues 40 live copy samples across web, email, and product UX; identifies 12 off-voice patterns; rewrites 25 paired examples in one week.

Training an AI writing assistant on company voice

Voice doc plugs directly into system prompts; reduces editor rewrite cycles from 3 to 1 on the next 20 drafts.

Bringing a freelancer up to speed in 30 minutes

New freelancer reads voice attributes, tone-shift table, and paired examples; ships first on-voice draft same day instead of round 4.

Hoe het werkt

1

Audit any existing copy across web, product, and email to map what already sounds on-brand versus off

2

Generate 5 to 8 voice attribute candidates with we-are-X-not-Y framing, then narrow to 3 to 5 keepers

3

Map 8 to 15 writing contexts (hero, errors, pricing, cancellation, 404) and document the tone shift for each

4

Lock vocabulary preferences, grammar defaults, and a paired-example library of 15 to 25 bad-vs-good rewrites

5

Stress-test the doc against a fresh writing brief; if output is off-voice, the doc gets a second pass before distribution

Voorbeeld

Brief
Define voice for Rampstack, a developer-tools startup launching a self-serve SaaS. Audience: backend engineers at 20 to 200-person teams. We have 8 existing landing pages and 30 product copy strings that feel inconsistent. Reference brands: Linear, Stripe, Vercel.
voice.md (excerpt)
Voice attributes
Confident, not arrogant. Direct, not blunt. Practical, not dry. Curious, not unfocused.
Tone shifts (sample)
Hero: signature voice fully on. Error message: calm, matter-of-fact, no apology theater. Cancellation flow: quiet, respectful, no jokes.
Vocabulary rules
Use contractions. Sentence-case headlines. Active voice default. Banned word list lives in the doc; writers reference it before publishing.
Paired example
Off: Welcome to the future of seamless deployment. On: Deploy on every push. No staging dance.
Stress-test result
Applied doc to a fresh announcement brief; first draft cleared editor review in one pass.

Verbeterde metrieken

Content Quality
Paired examples and we-are-NOT pairings cut off-voice copy that editors would otherwise have to flag.
Marketing
Engagement
Distinctive on-brand copy lifts time on page and reply rates versus generic alternatives.
Marketing
ICP Clarity
Specific voice attributes plus audience-aware tone shifts make the brand recognizable to its actual buyers, not everyone.
Marketing

Werkt met

Google Sheets
handmatig

Catalogue existing copy samples and track which fall on-voice versus off during the audit step.

Slack
handmatig

Distribute the voice doc and run voice-question polls with writers and reviewers.

figma
handmatig

Mirror voice attributes inside design system copy components so UI strings inherit the doc.

Notion
handmatig

Host the voice document so writers, designers, and AI prompts can reference it inline.

Vergelijkbare skills

Automatisch voorgesteld op basis van overlappende attributen. De directe vergelijking toont de verschillen.

Alle 4 vergelijken →

Competitor Content Tracker

door Gooseworks
↳text, file-uploadvstext, url(What you provide)·markdown, docxvsmarkdown(Output formats)·review-requiredvsnone(Human review)

Page Conversion Rate Optimization (CRO)

door Corey Haines
↳text, file-uploadvsurl, text(What you provide)·markdown, docxvsmarkdown(Output formats)·internalvspublic(Data sensitivity)

Content Repurposer

door Gooseworks
↳text, file-uploadvstext(What you provide)·markdown, docxvsmarkdown(Output formats)·internalvspublic(Data sensitivity)
Gesorteerd op attribuutoverlap × differentiatie. Brand Voice deelt 16+ attributen met elk.

Brand Voice gebruiken?

Kies hoe je wilt beginnen.

In Claude Code uitvoeren
Gratis. Open source.

Installeer en gebruik deze skill lokaal op je computer.

1
Claude Code installeren

Open een terminal op je computer en plak dit commando:

2
De skill installeren

Dit downloadt de skill met alle bestanden naar je computer:

Voeg -g aan het eind toe om het in al je projecten beschikbaar te maken.

3
Uitvoeren

Start Claude Code en typ het commando:

dan
Broncode op GitHub bekijken
Op ElasticFlow gebruiken
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View on GitHub

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

Common content types to cover:

  • Headline
  • Subheadline
  • Hero CTA
  • Feature description
  • Testimonial intro
  • Email subject line
  • Email opening
  • Push notification
  • Error message
  • Success message
  • About page paragraph
  • Social post
  • Sales page paragraph

Aim for 15 to 25 paired examples. This is the most-used part of the voice doc in practice.


Workflow

  1. Audit existing copy if it exists. Identify what is on-brand, what is off, what patterns recur.
  2. Layer 1: Voice attributes. Generate 5 to 8 candidates with "we are X, not Y" framing. Pick 3 to 5.
  3. Layer 2: Tone shifts. List 8 to 15 contexts the brand writes in. Note the tone shift for each.
  4. Layer 3: Vocabulary and grammar. Define preferences. Skip default rules unless they actually distinguish the brand.
  5. Layer 4: Examples. Build the paired-example library. 15 to 25 minimum.
  6. Stress-test. Pick a fresh writing brief and apply the voice doc. Does it produce on-voice copy? If not, the doc is incomplete.
  7. Document. Use the template in references/voice-document-template.md.
  8. 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

  • references/voice-document-template.md - Fillable template.
  • references/voice-frameworks.md - Detailed walkthrough of the Nielsen Norman 4 dimensions, Jung archetypes, and the "we are X not Y" approach.
ElasticFlow

Transformeer je bedrijf met AI-gedreven workflowautomatisering. Eén platform voor al je enterprise-behoeften.

Volg ons

Platform

  • Functies
  • Voordelen
  • Use cases
  • Workflowbibliotheek

Use cases

  • Sales
  • Marketing
  • Financiën & Juridisch
  • HR

Catalogus

  • Afdelingen
  • Rollen
  • Tools
  • Metrieken
  • Platforms

Groei

  • Doorverwijsprogramma
  • Partners

Juridisch

  • Privacybeleid
  • Gebruiksvoorwaarden
  • Cookiebeleid
  • Acceptabel gebruik
  • Beveiliging
  • SLA

© 2026 ElasticFlow. Alle rechten voorbehouden.