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Brand

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caiopizzol
brand

Create or update BRAND.md files for strategy, audience, positioning, personality, messaging, voice, approved identity primitives, governance, and sub-brand inheritance. Use for durable verbal and strategic identity. Hand applied visual systems such as tokens, layout, components, and motion to DESIGN.md.

Overview

Publishercaiopizzol
Repositorybrand.md
Skill namebrand
Stars
35
Forks
8
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

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

Use it in TypingMind

Enable Brand 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 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 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.md Generator

Create or update BRAND.md at spec version 0.3.0. The format and section requirements are defined in spec/brand-md.md.

BRAND.md owns identity that should survive a complete visual redesign. DESIGN.md owns how that identity is applied to a particular surface. Never put ramps, semantic roles, type scales, spacing, layout, components, or motion in BRAND.md.

Workflow

1. Resolve existing context

Walk from the working directory to the project root and read every applicable BRAND.md, root to leaf. Accept a legacy lowercase brand.md only when no BRAND.md exists in the same directory. Compare exact directory entry names; two successful path probes may still refer to one file on a case-insensitive file system. If both spellings are distinct entries, report the conflict and stop. For a child brand, write only sections that differ from the effective parent.

Ask which architecture applies: branded-house, endorsed, sub-brand, or independent. Guardrails inherit unless the child is independent; inherited guardrails may be tightened but not loosened. Accessibility commitments always inherit and may only be raised.

Discover nearby DESIGN.md paths, skipping generated and dependency directories. Read and attribute them only when materially updating a brand, checking alignment, or performing the design handoff. A design belongs to this brand when its brand frontmatter resolves to this file. Treat location-based attribution as an inference.

2. Gather evidence

Research only what is missing. Relevant sources may include the product, direct competitors, audience discussions, reviews, and references outside the category. Use enough evidence to understand the category, audience, competitive pattern, and credible whitespace. Do not satisfy a fixed search quota.

Derive what the evidence supports. Ask only unresolved decisions, propose useful defaults, skip inherited or irrelevant sections, and ask in small clusters. Never invent approved claims, verified licenses, or approved colors.

At minimum, resolve:

  • the brand, product, audience, category, and relationship to any parent;
  • positioning, explicit negations, personality, references, and anti-references;
  • voice, messaging, and identity guardrails;
  • approved identity colors, typefaces, logo rules, and art direction;
  • any established naming, claims, or accessibility commitments.

For each reference, record the trait to borrow and the trait not to copy. Ask about identity primitives, not design-system roles or styling.

3. Generate the brand file

Write specVersion: "0.3.0" and follow the spec. The required shape is:

text
Strategy: Overview, Audience, Positioning, Personality,
          References & Anti-References, Promise, Guardrails
Voice:    Identity, Tagline & Slogans, Message Pillars, Phrases, Tonal Rules
Visual:   Core Colors, Typefaces, Art Direction

Optional sections are Manifesto, Vocabulary, Social Bios, Logo & Marks, Photography & Illustration, and the Governance layer with Naming, Claims, and Accessibility Commitments.

Keep identity primitives narrow:

  • Core Colors contain 2 to 5 approved colors with exact values, meaning, and mandatory or optional status, never surface roles.
  • Typefaces contain families, roles, and fallbacks, not a scale. Mark licensing verified only when it was checked.
  • Art Direction names a concrete visual territory, not a list of adjectives.
  • Claims distinguish approved, evidenced claims from draft candidates.

Use examples/marginalia/BRAND.md when a complete example is useful.

4. Hand off to design only when requested

After the user confirms the brand, offer a DESIGN.md for a named surface. If they accept, read and follow references/design-md-handoff.md. Otherwise stop. Never add applied design recommendations to BRAND.md as a substitute.

5. Report possible downstream drift

After a material brand update, report linked or inferred DESIGN.md files that may need review and describe the potential conflict. Do not edit them unless the user requests the design handoff. This is a review convention, not an automated check.

Non-negotiable checks

  • The output follows the specification and contains no generic filler.
  • Positioning is grounded in evidence and includes explicit negations.
  • Phrases are ownable; replacing the brand name with a competitor should break them.
  • Tonal rules are usable instructions, and guardrails give a practical litmus test.
  • No applied tokens, roles, components, or motion appear in BRAND.md.
  • No brand-to-design conflict is silently resolved.

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 AI skill do?

Create or update BRAND.md files for strategy, audience, positioning, personality, messaging, voice, approved identity primitives, governance, and sub-brand inheritance. Use for durable verbal and strategic identity. Hand applied visual systems such as tokens, layout, components, and motion to DESIGN.md.

Why use Brand on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/caiopizzol/brand.md/tree/main/skills/brand. 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?

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?

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

Is the Brand AI skill free?

Yes. It is published on GitHub by caiopizzol 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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