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ngmeyer

Brand Voice Frameworks

by Neal Meyer · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install brand-voice-frameworks
Description
Generate marketing copy, landing pages, email sequences, and social media posts with consistent brand voice. Use when asked to "write copy", "draft a landing...
README (SKILL.md)

Brand Voice

Marketing copy generation with framework-driven consistency. User-first, transformation-focused, always with a clear CTA.

Instructions

Step 1: Identify the Brand

Determine which brand this is for, then load its reference file from references/.

Each brand file should contain: identity, tagline, ICP (ideal customer profile), customer psychology, tone, key messages, and anti-patterns.

See references/cyberdyne-systems.md for an example brand file.

Step 2: Pick the Right Framework

Match the copy framework to what you're writing:

Content Type Framework When to Use
Landing page hero PAS (Problem → Agitate → Solve) When the audience feels the pain already
Email sequence AIDA (Attention → Interest → Desire → Action) Nurturing cold leads to conversion
Social posts Hook → Value → CTA Short-form engagement
Feature announcement FABE (Feature → Advantage → Benefit → Evidence) When you have proof/numbers
Comparison/competitive BAB (Before → After → Bridge) Showing transformation
Testimonial page Social proof cascade When you have customer stories

Step 3: Apply Copy Principles

  1. User-first voice: "You can..." not "Acme allows..."
  2. Specificity sells: "200 attendees" beats "large events"
  3. Transformation > features: What does their life look like after?
  4. Social proof: Real humans, real results
  5. Clear next step: Every piece has one CTA
  6. Hook first: Reason to care in the first second

Step 4: Customer Psychology

Always ask before writing:

  • "Who is this actually for?" — no "generic user"
  • "What's the transformation?" — features → life after
  • "What's the hook?" — find it before writing

Step 5: Deliver with Variants

Every deliverable includes:

  1. Headline (2-3 A/B variants)
  2. Subheadline (supports the hook)
  3. Body copy (transformation-focused)
  4. CTA (single, clear action)
  5. Hypothesis — why this version should work

Step 6: Platform Adaptation

Adapt the same message for different platforms:

Platform Constraints Style
Landing page No length limit Full narrative, multiple sections
Email Subject line \x3C 50 chars Personal, conversational, one CTA
X/Twitter 280 chars Punchy, hook-first, link in bio
LinkedIn 3000 chars Professional, story-led, insight-driven
Discord No markdown tables Bold + bullets, casual tone

"This / Not That" — Universal Rules

✅ This ❌ Not That
"You'll have a site live in 10 minutes" "Our platform enables rapid deployment"
"200 parents signed up in one weekend" "Our solution drives high adoption rates"
Specific numbers and names Vague superlatives ("best", "powerful", "revolutionary")
Customer language Product language
One CTA per piece Multiple competing CTAs
Earned confidence Hype or desperation

Adding New Brands

Create a new file in references/ following this structure:

# [Brand Name] Brand Guide

## Identity
- **Domain:** example.com
- **Tagline:** "Your tagline here"
- **ICP:** Who is the ideal customer?
- **Market:** Geographic or demographic focus

## Customer Psychology
- **Primary driver:** What motivates the purchase?
- **Fear:** What are they afraid of?
- **Aspiration:** What do they want to become?

## Voice & Tone
- **Personality:** [e.g., confident but approachable]
- **Register:** [e.g., casual professional]
- **Unique phrases:** [brand-specific language]

## Key Messages
1. [Primary value prop]
2. [Secondary value prop]
3. [Social proof angle]

## Anti-Patterns (Never Do This)
- [Brand-specific mistakes to avoid]

Gotchas

  • Generic copy is worse than no copy — If you can swap in any competitor's name and it still works, the copy is too generic. Rewrite with product-specific details.
  • Framework mismatch kills conversion — PAS on a feature announcement feels manipulative. FABE on a cold email feels robotic. Match the framework to the content type.
  • Don't mix brand voices — Each brand has its own personality. Writing Brand A copy in Brand B's voice confuses both audiences.
  • CTA competition — Two CTAs on one page split attention and reduce conversion. Pick the one that matters most.
  • Load the brand reference every time — Don't rely on memory. Brand details drift. Read the file.
Usage Guidance
This skill is low-risk because it's instruction-only and uses local brand files, but take these precautions before installing: 1) Review any brand files you place in references/ — the agent will read them, so do not store secrets or credentials there. 2) Verify factual claims in generated copy (the skill encourages specific numbers and social-proof statements; do not publish fabricated metrics). 3) Note provenance: the skill has no homepage and unknown source — if you require vendor accountability, prefer skills from known publishers. 4) Because the agent may be invoked normally by the model, review outputs for compliance, legal/marketing accuracy, and confidentiality before use.
Capability Analysis
Type: OpenClaw Skill Name: brand-voice-frameworks Version: 1.0.0 The skill bundle is a framework for generating marketing copy using standard industry frameworks (PAS, AIDA, etc.) and brand-specific reference files. The instructions in SKILL.md and the example brand guide in references/cyberdyne-systems.md are focused entirely on text generation and brand consistency, with no evidence of malicious intent, data exfiltration, or unauthorized command execution.
Capability Assessment
Purpose & Capability
Name/description match the instructions: the skill is a framework-driven copy generator that uses local brand reference files. It does not request unrelated credentials, binaries, or services.
Instruction Scope
SKILL.md instructs the agent to read brand reference files from the local references/ directory and apply copy frameworks. It does not direct the agent to read unrelated system files, call external endpoints, or exfiltrate data.
Install Mechanism
No install spec and no code files — instruction-only. Nothing will be written to disk or downloaded by the skill itself.
Credentials
No environment variables, credentials, or config paths are required. The only inputs are the included references/ files and user prompts, which are appropriate for the task.
Persistence & Privilege
always is false and model invocation is allowed (platform default). The skill does not request persistent system-level privileges or modify other skills.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install brand-voice-frameworks
  3. After installation, invoke the skill by name or use /brand-voice-frameworks
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: framework-driven marketing copy generation (PAS/AIDA/FABE/BAB). Per-brand reference files, platform adaptation, This/Not That matrix. Includes Cyberdyne Systems example brand.
Metadata
Slug brand-voice-frameworks
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Brand Voice Frameworks?

Generate marketing copy, landing pages, email sequences, and social media posts with consistent brand voice. Use when asked to "write copy", "draft a landing... It is an AI Agent Skill for Claude Code / OpenClaw, with 212 downloads so far.

How do I install Brand Voice Frameworks?

Run "/install brand-voice-frameworks" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Brand Voice Frameworks free?

Yes, Brand Voice Frameworks is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Brand Voice Frameworks support?

Brand Voice Frameworks is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Brand Voice Frameworks?

It is built and maintained by Neal Meyer (@ngmeyer); the current version is v1.0.0.

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