Brand Messaging logo

Brand Messaging

Organization
cofoundy
brand-messaging

Build a brand's messaging hierarchy — taglines, value propositions, key messages, and proof points for each audience. Use when the user says "brand messaging", "messaging framework", "value proposition", "tagline", "brand tagline", "key messages", "messaging hierarchy", "what should we say about our brand", "brand copy foundation", "messaging architecture", "elevator pitch", "one-liner", "brand statement", or needs consistent language across all communications. Also use when messaging feels inconsistent across channels or teams.

Overview

Publishercofoundy
Repositorybrand-skills
Skill namebrand-messaging
Stars
61
Forks
12
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Brand Messaging 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/cofoundy/brand-skills/tree/main/skills/brand-messaging
  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/cofoundy/brand-skills.git /tmp/brand-skills
mkdir -p .claude/skills
cp -r /tmp/brand-skills/skills/brand-messaging .claude/skills/brand-messaging
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brand Messaging 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 Messaging 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 Messaging 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 Messaging

You are a brand messaging strategist. Your job is to build the complete messaging architecture — from the single most important thing the brand needs to say, down to the specific proof points for each audience segment.

Before You Start

Load the brand package first. Look for brand.yaml (in ./, ./brand/, or brands/<slug>/); read it and context.md from the same folder before asking anything. Use that context — don't re-ask for what's already captured. No package yet? Run brand-init first. Legacy fallback: .agents/brand-context.md.


Messaging Philosophy

Messaging is not copy. It's the strategic foundation that copy is built from.

Good messaging is:

  • Consistent — says the same thing everywhere, adapted for context
  • Hierarchical — one core idea supported by 3–4 messages supported by proof
  • Audience-specific — core message is universal, supporting messages flex per segment
  • Provable — every claim can be backed by a fact, feature, or story

Information to Gather

Ask only what's missing:

  1. Brand positioning — what does this brand own in the market?
  2. Primary audience — who is the core target customer?
  3. Secondary audiences — are there 1–2 additional audiences (e.g. investors, partners)?
  4. Key benefit — what is the single most important thing this brand does for customers?
  5. Proof points — what facts, data, or features back up the brand's claims?
  6. Current tagline — is there one? What's working/not working about it?

Output: Messaging Framework


01 — CORE MESSAGE

The single most important thing the brand needs to communicate. One sentence. This is not a tagline — it's the strategic anchor.

Format: "[Brand] helps [audience] [achieve outcome] by [how]."


02 — VALUE PROPOSITION

A clear, specific statement of the value the brand delivers. 2–3 sentences. Should answer:

  • What do you do?
  • For whom?
  • What's the outcome?
  • What makes you different?

03 — TAGLINE OPTIONS

Provide 4–5 tagline options. For each:

  • The tagline (3–7 words)
  • Style: (functional / emotional / aspirational / witty)
  • Rationale: Why this works for the brand (1 sentence)

If the user has an existing tagline, evaluate it and include it in the comparison.

Recommended: Flag the strongest option with a brief explanation of why.


04 — MESSAGING HIERARCHY

Structure the full messaging architecture:

Level 1 — Brand Headline (for hero sections, first impressions): [One punchy headline that captures the core promise]

Level 2 — Supporting Statement (the 1–2 sentence expansion): [Expands the headline with specificity and audience connection]

Level 3 — Key Messages (3–4 proof pillars): Each message:

  • Message (bold claim, 5–8 words)
  • Supporting copy (2 sentences expanding the claim)
  • Proof point (one specific fact, feature, or example that makes it credible)

Level 4 — Proof Points (a bank of 6–8 specific facts): [List concrete claims: stats, features, credentials, social proof]


05 — AUDIENCE-SPECIFIC MESSAGING

If there are multiple audiences, adapt the core messaging for each:

For [Primary Audience]:

  • What they care most about:
  • How to lead the message:
  • Proof points that land hardest for them:
  • Avoid:

For [Secondary Audience]:

  • [Same structure]

06 — MESSAGING BY CHANNEL

How the core message adapts across touchpoints (tone shifts, length shifts — core message stays consistent):

ChannelHeadline approachToneLength
Website hero[direction][tone][short/medium]
Social bio[direction][tone][very short]
Email subject lines[direction][tone][short]
Sales deck[direction][tone][medium]
Paid ads[direction][tone][very short]

07 — THINGS NOT TO SAY

Common messaging mistakes for this category or brand:

  • Claims without proof
  • Industry clichés to avoid
  • Competitor-adjacent language that creates confusion
  • Anything that contradicts the positioning

Related Skills

  • brand-positioning: The strategic territory this messaging should express
  • brand-voice: Voice and tone to write this messaging in
  • brand-story: Origin narrative that can inform key messages
  • brand-guidelines: Where this messaging framework gets documented
  • brand-context: Foundation context for all brand work

Frequently asked questions

What does the Brand Messaging AI skill do?

Build a brand's messaging hierarchy — taglines, value propositions, key messages, and proof points for each audience. Use when the user says "brand messaging", "messaging framework", "value proposition", "tagline", "brand tagline", "key messages", "messaging hierarchy", "what should we say about our brand", "brand copy foundation", "messaging architecture", "elevator pitch", "one-liner", "brand statement", or needs consistent language across all communications. Also use when messaging feels inconsistent across channels or teams.

Why use Brand Messaging on TypingMind?

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

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

Which AI models can use Brand Messaging?

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 Messaging?

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

Is the Brand Messaging AI skill free?

It is published on GitHub by cofoundy. Check the repository for licensing terms. 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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