Brand Voice Enforcement logo

Brand Voice Enforcement

OrganizationPopular
anthropics
brand-voice-enforcement

This skill applies brand guidelines to content creation. It should be used when the user asks to "write an email", "draft a proposal", "create a pitch deck", "write a LinkedIn post", "draft a presentation", "write a Slack message", "draft sales content", or any content creation request where brand voice should be applied. Also triggers on "on-brand", "brand voice", "enforce voice", "apply brand guidelines", "brand-aligned content", "write in our voice", "use our brand tone", "make this sound like us", "rewrite this in our tone", or "this doesn't sound on-brand". Not for generating guidelines from scratch (use guideline-generation) or discovering brand materials (use discover-brand).

Overview

Publisheranthropics
Repositoryknowledge-work-plugins
Skill namebrand-voice-enforcement
Stars
25.9K
Forks
3K
Bundled files
2
LicenseApache-2.0
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 anthropics on GitHub. Read the source before you install it.

Installation

Install the Brand Voice Enforcement 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/anthropics/knowledge-work-plugins/tree/main/partner-built/brand-voice/skills/brand-voice-enforcement
  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/anthropics/knowledge-work-plugins.git /tmp/knowledge-work-plugins
mkdir -p .claude/skills
cp -r /tmp/knowledge-work-plugins/partner-built/brand-voice/skills/brand-voice-enforcement .claude/skills/brand-voice-enforcement
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brand Voice Enforcement 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 Enforcement 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 Enforcement 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 Enforcement

Apply existing brand guidelines to all sales and marketing content generation. Load the user's brand guidelines, apply voice constants and tone flexes to the content request, validate output, and explain brand choices.

Loading Brand Guidelines

Find the user's brand guidelines using this sequence. Stop as soon as you find them:

  1. Session context — Check if brand guidelines were generated earlier in this session (via /brand-voice:generate-guidelines). If so, they are already in the conversation. Use them directly. Session-generated guidelines are the freshest and reflect the user's most recent intent.

  2. Local guidelines file — Check for .claude/brand-voice-guidelines.md inside the user's working folder. Do NOT use a relative path from the agent's current working directory — in Cowork, the agent runs from a plugin cache directory, not the user's project. Resolve the path relative to the user's working folder. If no working folder is set, skip this step.

  3. Ask the user — If none of the above found guidelines, tell the user: "I couldn't find your brand guidelines. You can:

    • Run /brand-voice:discover-brand to find brand materials across your platforms
    • Run /brand-voice:generate-guidelines to create guidelines from documents or transcripts
    • Paste guidelines directly into this chat or point me to a file"

    Wait for the user to provide guidelines before proceeding.

Also read .claude/brand-voice.local.md for enforcement settings (even if guidelines came from another source):

  • strictness: strict | balanced | flexible
  • always-explain: whether to always explain brand choices

Enforcement Workflow

1. Analyze the Content Request

Before writing, identify:

  • Content type: email, presentation, proposal, social post, message, etc.
  • Target audience: role, seniority, industry, company stage
  • Key messages needed: which message pillars apply
  • Specific requirements: length, format, tone overrides

2. Apply Voice Constants

Voice is the brand's personality — it stays constant across all content:

  • Apply "We Are / We Are Not" attributes from guidelines
  • Use brand personality consistently
  • Incorporate approved terminology; reject prohibited terms
  • Follow messaging framework and value propositions

Refer to references/voice-constant-tone-flexes.md for the "voice constant, tone flexes" model.

3. Flex Tone for Context

Tone adapts by content type and audience. Use the tone-by-context matrix from guidelines to set:

  • Formality: How formal or casual should this be?
  • Energy: How much urgency or enthusiasm?
  • Technical depth: How detailed or accessible?

4. Generate Content

Create content that:

  • Matches brand voice attributes throughout
  • Follows tone guidelines for this specific content type
  • Incorporates key messages naturally (not forced)
  • Uses preferred terminology
  • Mirrors the quality and style of guideline examples

For complex or long-form content, delegate to the content-generation agent (defined in agents/content-generation.md). For high-stakes content, delegate to the quality-assurance agent (defined in agents/quality-assurance.md) for validation.

5. Validate and Explain

After generating content:

  • Briefly highlight which brand guidelines were applied
  • Explain key voice and tone decisions
  • Note any areas where guidelines were adapted for context
  • Offer to refine based on feedback

When always-explain is true in settings, include brand application notes with every response.

Handling Conflicts

When the user's request conflicts with brand guidelines:

  1. Explain the conflict clearly
  2. Provide a recommendation
  3. Offer options: follow guidelines strictly, adapt for context, or override

Default to adapting guidelines with an explanation of the tradeoff.

Open Questions Awareness

Open questions are unresolved brand positioning decisions flagged during guideline generation, stored in the guidelines under an "Open Questions" section. When generating content, check if the brand guidelines contain open questions:

  • If content touches an unresolved open question, note it
  • Apply the agent's recommendation from the open question unless the user specifies otherwise
  • Suggest resolving the question if it significantly impacts the content

Reference Files

  • references/voice-constant-tone-flexes.md — The "voice constant, tone flexes" mental model, "We Are / We Are Not" table structure, and tone-by-context matrix explanation
  • references/before-after-examples.md — Before/after content examples per content type showing enforcement in practice

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 Enforcement AI skill do?

This skill applies brand guidelines to content creation. It should be used when the user asks to "write an email", "draft a proposal", "create a pitch deck", "write a LinkedIn post", "draft a presentation", "write a Slack message", "draft sales content", or any content creation request where brand voice should be applied. Also triggers on "on-brand", "brand voice", "enforce voice", "apply brand guidelines", "brand-aligned content", "write in our voice", "use our brand tone", "make this sound like us", "rewrite this in our tone", or "this doesn't sound on-brand". Not for generating guideline...

Why use Brand Voice Enforcement on TypingMind?

Because you install it once and use it with any model. Brand Voice Enforcement 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 Enforcement in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/knowledge-work-plugins/tree/main/partner-built/brand-voice/skills/brand-voice-enforcement. 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 Enforcement?

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 Enforcement?

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

Is the Brand Voice Enforcement AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 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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