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Brand Voice

OrganizationPopular
rampstackco
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 voice, voice document, voice guidelines, how should we write, voice training, voice audit. Also triggers when the user has copy that 'feels off' and the underlying issue is voice, even if not stated explicitly. On a voice consistency check, this skill owns defining and documenting the voice system; use `editorial-qa` when a specific draft needs checking against an existing system before it publishes.

Overview

Publisherrampstackco
Repositoryclaude-skills
Skill namebrand-voice
Stars
1K
Forks
134
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rampstackco on GitHub. Read the source before you install it.

Installation

Install the Brand Voice AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/rampstackco/claude-skills/tree/main/skills/brand-voice
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rampstackco/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/skills/brand-voice .claude/skills/brand-voice
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brand Voice in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Brand Voice on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Brand Voice is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Brand Voice AI skill do?

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 voice, voice document, voice guidelines, how should we write, voice training, voice audit. Also trig...

Why use Brand Voice on TypingMind?

Because you install it once and use it with any model. Brand Voice is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Brand Voice in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rampstackco/claude-skills/tree/main/skills/brand-voice. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Brand Voice?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Brand Voice?

As many as you like. As long as a model supports skills, you can use Brand Voice with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Brand Voice AI skill free?

Yes. It is published on GitHub by rampstackco under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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