Source profileQuality 86/100

rampstackco/claude-skills/skills/brand-voice/SKILL.md

brand-voice

Develop or document a complete brand voice and tone system covering voice attributes, tone shifts by context, vocabulary preferences, grammar rules, and copy examples. Use this skill whenever the user wants to define how a brand sounds, write a voice and tone document, audit existing copy for voice consistency, train a team or AI assistant on brand voice, or refine the personality of brand writing. Triggers on brand voice, voice and tone, tone of voice, writing voice, brand personality, copy voi

Source repository stars
518
Declared platforms
0
Static risk flags
0
Last source update
2026-08-05
Source checked
2026-08-06

Decision brief

What it does—and where it fits

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

Best for

  • Defining brand voice for the first time
  • Auditing existing copy for voice consistency
  • Training a team, freelancer, or AI assistant on the brand voice

Not for

  • Writing specific copy (use content-and-copy)
  • Brand visual identity work (use brand-identity)

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/rampstackco/claude-skills --skill "skills/brand-voice"
Safe inspection promptEditorial

Inspect the Agent Skill "brand-voice" from https://github.com/rampstackco/claude-skills/blob/824b7cace2a478cb1bb57221145a67d3a3649f34/skills/brand-voice/SKILL.md at commit 824b7cace2a478cb1bb57221145a67d3a3649f34. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    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 to…

    Audit existing copy if it exists. Identify what is on-brand, what is off, what patterns recur.Layer 1: Voice attributes. Generate 5 to 8 candidates with "we are X, not Y" framing. Pick 3 to 5.Layer 2: Tone shifts. List 8 to 15 contexts the brand writes in. Note the tone shift for each.
  2. 02

    When to use

    Defining brand voice for the first time

    Defining brand voice for the first timeAuditing existing copy for voice consistencyTraining a team, freelancer, or AI assistant on the brand voice
  3. 03

    When NOT to use

    Writing specific copy (use content-and-copy)

    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)
  4. 04

    Required inputs

    The brand and its positioning

    The brand and its positioningThe audience and what they need to hear5 to 10 examples of existing brand writing (if any)
  5. 05

    The framework: 4 layers

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

    Confident, not arrogantDirect, not bluntWarm, not saccharine

Permission review

Static risk signals and limitations

No configured static risk pattern was detected

This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score86/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars518SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
rampstackco/claude-skills
Skill path
skills/brand-voice/SKILL.md
Commit
824b7cace2a478cb1bb57221145a67d3a3649f34
License
MIT
Collected
2026-08-06
Default branch
main
View the original SKILL.md

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

Alternatives

Compare before choosing

Computed 10023,881

alirezarezvani/claude-skills

app-store-optimization

App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklist

Computed 982,516

aaron-he-zhu/aaron-marketing-skills

reactivation-specialist

Use when the user asks to "build a win-back campaign", "re-engage lapsed subscribers", "run a re-permission / re-consent sweep", or "sunset my dead list"; produces a closed-loop reactivation program — a lapsed-cohort definition, a staged offer ladder, a re-consent (re-permission) capture step, and a sunset-confirm / suppression rule. Owns none of the SEND-N sub-item notes: engagement-decay / sunset is email-sequence-designer's and preference-center / frequency options is preference-frequency-man

Computed 9840

respira-press/agent-skills-wordpress

design-system-synthesizer

Use when the user says 'build a design system for my site', 'extract design tokens', 'capture my brand', or 'build my style guide', or after a rebrand. Reads representative pages, theme files, and media to extract logo, colors, typography, spacing, and components, then writes a visible style-guide page.

Computed 9829

MoizIbnYousaf/marketing-cli

higgsfield-generate

Use when the user wants to generate an image or video via Higgsfield AI. Covers 30+ models: Soul V2, Seedance 2.0, Kling 3.0, Veo 3.1, GPT Image 2, Nano Banana 2. Also covers Marketing Studio — branded ad video/image with avatars and products. Use whenever: "generate an image", "make a video", "animate this photo", "image-to-video", "img2vid", "edit this image with AI", "produce a clip", "create an ad", "make a UGC video", "marketing video", "brand video", "TV spot", "import product from URL", "