Brand logo

Brand

OrganizationPopular
nextlevelbuilder
brand

Brand voice, visual identity, messaging frameworks, asset management, brand consistency. Activate for branded content, tone of voice, marketing assets, brand compliance, style guides.

Overview

Publishernextlevelbuilder
Repositoryui-ux-pro-max-skill
Skill namebrand
Stars
128.8K
Forks
13.7K
Bundled files
17
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.

  • 17 bundled files

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

  • Open source

    Published by nextlevelbuilder 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.
  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/nextlevelbuilder/ui-ux-pro-max-skill.git /tmp/ui-ux-pro-max-skill
mkdir -p .claude/skills
cp -r /tmp/ui-ux-pro-max-skill/cli/assets/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

Brand identity, voice, messaging, asset management, and consistency frameworks.

When to Use

  • Brand voice definition and content tone guidance
  • Visual identity standards and style guide development
  • Messaging framework creation
  • Brand consistency review and audit
  • Asset organization, naming, and approval
  • Color palette management and typography specs

Script Paths

Script paths in this skill and its references/ are relative to the directory that contains this SKILL.md, not to the project: scripts/<file> is this skill's own scripts/ folder, and ../<skill>/scripts/<file> is a sibling sub-skill installed alongside it. Build the full path from that directory (Claude Code reports it as the skill's base directory when the skill loads) and keep the working directory at the project root — the scripts read and write project files such as docs/brand-guidelines.md, assets/design-tokens.json or src/ relative to it.

Quick Start

Inject brand context into prompts:

bash
node scripts/inject-brand-context.cjs
node scripts/inject-brand-context.cjs --json

Validate an asset:

bash
node scripts/validate-asset.cjs <asset-path>

Extract/compare colors:

bash
node scripts/extract-colors.cjs --palette
node scripts/extract-colors.cjs <image-path>

Brand Sync Workflow

bash
# 1. Edit docs/brand-guidelines.md (or use /brand update)
# 2. Sync to design tokens
node scripts/sync-brand-to-tokens.cjs
# 3. Verify
node scripts/inject-brand-context.cjs --json | head -20

Files synced:

  • docs/brand-guidelines.md → Source of truth
  • assets/design-tokens.json → Token definitions
  • assets/design-tokens.css → CSS variables

Subcommands

SubcommandDescriptionReference
updateUpdate brand identity and sync to all design systemsreferences/update.md

References

TopicFile
Voice Frameworkreferences/voice-framework.md
Visual Identityreferences/visual-identity.md
Messagingreferences/messaging-framework.md
Consistencyreferences/consistency-checklist.md
Guidelines Templatereferences/brand-guideline-template.md
Asset Organizationreferences/asset-organization.md
Color Managementreferences/color-palette-management.md
Typographyreferences/typography-specifications.md
Logo Usagereferences/logo-usage-rules.md
Approval Checklistreferences/approval-checklist.md

Scripts

ScriptPurpose
scripts/inject-brand-context.cjsExtract brand context for prompt injection
scripts/sync-brand-to-tokens.cjsSync brand-guidelines.md → design-tokens.json/css
scripts/validate-asset.cjsValidate asset naming, size, format
scripts/extract-colors.cjsExtract and compare colors against palette

Templates

TemplatePurpose
templates/brand-guidelines-starter.mdComplete starter template for new brands

Routing

  1. Parse subcommand from $ARGUMENTS (first word)
  2. Load corresponding references/{subcommand}.md
  3. Execute with remaining arguments

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?

Brand voice, visual identity, messaging frameworks, asset management, brand consistency. Activate for branded content, tone of voice, marketing assets, brand compliance, style guides.

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/nextlevelbuilder/ui-ux-pro-max-skill/tree/main/cli/assets/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 nextlevelbuilder 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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