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Brand Setup

Community
indranilbanerjee
brand-setup

Set up or update the brand profile every skill reads: voice, audience, compliance. "set up a new brand"

Overview

Publisherindranilbanerjee
Repositorydigital-marketing-pro
Skill namebrand-setup
Stars
866
Forks
138
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 indranilbanerjee on GitHub. Read the source before you install it.

Installation

Install the Brand Setup 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/indranilbanerjee/digital-marketing-pro/tree/main/skills/brand-setup
  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/indranilbanerjee/digital-marketing-pro.git /tmp/digital-marketing-pro
mkdir -p .claude/skills
cp -r /tmp/digital-marketing-pro/skills/brand-setup .claude/skills/brand-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brand Setup 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 Setup 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 Setup 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 Setup — Interactive Brand Profiling

Script location. If your host does not set ${CLAUDE_PLUGIN_ROOT}, the scripts are in this plugin's scripts/ folder, next to skills/. Run them with Python 3.10 or newer: python, or python3 where python is not found (macOS, many Linux systems).

When to Use This Skill

  • User says "set up a new brand" or "create a brand profile"
  • User mentions a new client or project for marketing
  • User wants to switch between brands (agency use case)
  • User wants to update brand voice, audiences, or goals
  • First time using any marketing skill without an active brand

Setup Modes

Quick Setup (5 questions — recommended for getting started fast)

If the user wants to get started quickly, or says "quick setup", ask only these 5 essential questions:

  1. Brand name — "What's your brand or business name?"
  2. What you do — "In one sentence, what does [brand] do?" (extract industry, business model, USP)
  3. Target audience — "Who is your primary customer?" (extract B2B/B2C, demographics)
  4. Brand voice — "Pick 3 words that describe how your brand communicates" (map to formality/energy/humor/authority scales)
  5. Primary channel — "Where do you primarily market? (social media, email, SEO, paid ads, etc.)"

From these 5 answers, intelligently populate the full profile:

  • Infer industry, business model type, and compliance requirements
  • Map voice descriptors to the 1-10 scales (e.g., "professional" → formality: 8, "fun" → humor: 7)
  • Set sensible defaults for everything else
  • Tell the user: "Quick profile created! You can refine it anytime with /digital-marketing-pro:brand-setup --full"

Full Setup (17 questions — comprehensive profiling)

Use the full setup when:

  • User explicitly asks for detailed/full/comprehensive setup
  • User says "/digital-marketing-pro:brand-setup --full"
  • User wants to update specific sections of an existing profile

Process (Full Setup)

Step 1: Brand Identity

Ask the user one question at a time (don't overwhelm):

  1. Brand name: "What's the brand/company name?"
  2. Elevator pitch: "In one sentence, what does [brand] do?"
  3. USP: "What makes [brand] different from competitors?"
  4. Mission/Values: "What's the brand's mission? What values drive it?"

Step 2: Business Model

  1. Business type: Present options:

    • B2B SaaS / Software
    • B2C eCommerce / DTC
    • B2B Services / Consulting
    • Local Business
    • Agency (managing multiple clients)
    • Creator / Personal Brand
    • Enterprise
    • Non-Profit
    • Marketplace

  2. Revenue model: subscription, transactional, freemium, marketplace commission, donation, retainer, advertising

  3. Price range and sales cycle: "What's your typical deal size and how long does it take to close?"

Step 3: Industry & Compliance

  1. Industry: "What industry are you in?" (match to industry-profiles.md)
  2. Regulated?: "Are you in a regulated industry? (healthcare, finance, legal, alcohol, cannabis, etc.)"
  3. Target markets: "What countries/regions do you sell to?" (triggers compliance rules)

Step 4: Brand Voice

  1. Voice dimensions — Ask user to rate 1-10 or describe:

    • Formality (1=very casual like a friend, 10=very formal like a law firm)
    • Energy (1=calm and measured, 10=enthusiastic and bold)
    • Humor (1=never use humor, 10=humor is core to the brand)
    • Authority (1=peer-level, friendly guide, 10=expert thought leader)

  2. Personality traits: "Pick 3-5 words that describe the brand's personality" (e.g., witty, empathetic, direct, bold, thoughtful, playful, authoritative, warm)

  3. This-Not-That: "Give me examples of how you'd say something vs. how you wouldn't" (e.g., "We say 'Let's figure this out together' not 'Contact our support team'")

  4. Sample content: "Share 2-3 URLs or text snippets of content you think nails your brand voice"

Step 5: Channels & Goals

  1. Active channels: "Which marketing channels are you currently using?" (website, Instagram, LinkedIn, Twitter, TikTok, YouTube, Facebook, Pinterest, Email, Google Ads, Meta Ads, etc.)

  2. Goals: "What's your #1 marketing goal right now?" + target KPIs + budget range + team size

Step 6: Competitors

  1. Competitors: "Name 3-5 competitors (direct or aspirational)"
    • For each: name, URL, relationship (direct/indirect/aspirational), known strengths/weaknesses

Step 7: Save & Confirm

After collecting all information:

  1. Run: python "${CLAUDE_PLUGIN_ROOT}/scripts/setup.py" --create-brand "[brand name]"
  2. Update the created profile.json with all collected data
  3. Add the AI-assistance disclosure block (defaults unless the user chooses otherwise): "ai_disclosure": {"mode": "claude-surfaces", "text": null, "author": null}. Modes: claude-surfaces (default — the disclosure attaches when content runs on a Claude surface or the surface is uncertain; skipped only on an affirmatively-detected non-Claude harness), always (every surface — safest for brands with their own AI-transparency obligations), off (never; the brand owns that choice). author is OPTIONAL and may stay null — the default wording ("reviewed by our editorial team") needs no name. Custom text replaces the default verbatim; note the default is vendor-neutral and claims only the review the pipeline performs
  4. Confirm to user: "Brand profile created for [brand_name]. All marketing modules will now use this context. You can update it anytime by saying 'update my brand profile.'"

Switching Brands

When user says "switch to [brand name]":

  1. Run: python "${CLAUDE_PLUGIN_ROOT}/scripts/setup.py" --list-brands
  2. Find matching brand
  3. Update ~/.claude-marketing/brands/_active-brand.json
  4. Confirm: "Switched to [brand_name]."

Updating a Brand

When user wants to update specific fields:

  1. Load current profile from ~/.claude-marketing/brands/{slug}/profile.json
  2. Ask about the specific field(s) to update
  3. Write updated profile back
  4. Confirm changes

Profile Storage and Brand Isolation

Each brand lives under ~/.claude-marketing/brands/{slug}/: profile.json (full brand context), guidelines/ (imported style guides, restrictions, approved messaging), and templates/ (custom deliverable templates). Every skill loads these automatically. Agencies keep one profile per client; each brand gets isolated context with no cross-contamination, and /digital-marketing-pro:switch-brand <name> (or --list) changes the active one.

After Setup

After creating the profile, ask:

"Brand profile for [name] is ready. Would you like to:

  • Import an existing style guide? (/digital-marketing-pro:import-guidelines)
  • Run a competitive analysis? (/digital-marketing-pro:competitor-analysis)
  • Plan your first campaign? (/digital-marketing-pro:campaign-plan)
  • Audit your SEO? (/digital-marketing-pro:seo-audit)
  • Check which connectors are active? (/digital-marketing-pro:integrations)"

Important Notes

  • NEVER skip the brand voice section — it's what makes all content outputs on-brand
  • For agencies: each client should be a separate brand profile
  • Store voice samples as markdown files in the brand's voice-samples/ directory
  • Auto-detect industry compliance rules based on the industry and market selections

Frequently asked questions

What does the Brand Setup AI skill do?

Set up or update the brand profile every skill reads: voice, audience, compliance. "set up a new brand"

Why use Brand Setup on TypingMind?

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

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

Which AI models can use Brand Setup?

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 Setup?

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

Is the Brand Setup AI skill free?

Yes. It is published on GitHub by indranilbanerjee 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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