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 v…
Install / Use
npx skills add anthropics/knowledge-work-plugins --skill brand-voice-enforcementInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
CommunicationSupported Platforms
Our assessment of brand-voice-enforcement
brand-voice-enforcement scores 87/100 on our quality scale, 114th of 170 Communication skills we index.
Its SKILL.md is 5.3 KB long, well organised into 11 sections and no code examples: a solid amount of guidance for an agent.
With 25,526 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated yesterday, so brand-voice-enforcement is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
brand-voice-enforcement compared with similar skills
All 4 of these similar skills score higher than brand-voice-enforcement; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| brand-voice-enforcement (this skill)by anthropics | 87 | 25.5k | 1d ago | SKILL.md |
| LocalAIby mudler | 100 | 49.3k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 4d ago | SKILL.md |
Frequently asked questions
- How do I install brand-voice-enforcement?
- Run
npx skills add anthropics/knowledge-work-plugins --skill brand-voice-enforcement. The install tabs above show the steps for each supported agent. - Which AI agents does brand-voice-enforcement work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is brand-voice-enforcement safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is brand-voice-enforcement still maintained?
- The repository was last updated yesterday, so brand-voice-enforcement is actively maintained.
Skill content
View source on GitHubname: brand-voice-enforcement description: > 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).
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:
-
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. -
Local guidelines file — Check for
.claude/brand-voice-guidelines.mdinside 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. -
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-brandto find brand materials across your platforms - Run
/brand-voice:generate-guidelinesto 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.
- Run
Also read .claude/brand-voice.local.md for enforcement settings (even if guidelines came from another source):
strictness: strict | balanced | flexiblealways-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:
- Explain the conflict clearly
- Provide a recommendation
- 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 explanationreferences/before-after-examples.md— Before/after content examples per content type showing enforcement in practice
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
