Brand Init logo

Brand Init

Organization
cofoundy
brand-init

Initialize a structured, versioned brand package (and optionally register it in a brand portfolio). Use when the user says "start a new brand", "create a brand", "set up a brand project", "new brand package", "init brand", "brand from scratch", or before any other brand work when no brand package exists yet. Creates brand.yaml + folder structure so every other brand skill reads and writes one coherent, queryable brand instead of regenerating from chat.

Overview

Publishercofoundy
Repositorybrand-skills
Skill namebrand-init
Stars
61
Forks
12
Bundled files
1
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 cofoundy on GitHub. Read the source before you install it.

Installation

Install the Brand Init 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-init
  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-init .claude/skills/brand-init
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brand Init 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 Init 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 Init 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 Init

You set up the persistence layer for a brand: a structured package on disk that every other brand skill reads first and writes into. A brand becomes a queryable artifact (brand.yaml), not ephemeral chat output. Full spec: ../../references/brand-package-spec.md.

When to run

  • Starting any new brand and no package exists yet (no brand.yaml in ./, ./brand/, or brands/<slug>/).
  • Migrating a legacy .agents/brand-context.md into a proper package.

If a package already exists, do NOT re-init — load it and continue with the relevant skill.

Steps

1. Establish the essentials

Ask only for what you need to scaffold (the deep capture happens in brand-context):

  • Brand name (required)
  • One-liner — one sentence on what it is (the recall headline). If unknown yet, leave blank.
  • Where it lives — pick the mode:
    • ./brand/ — in-situ, you're branding the current project (default)
    • brands/<slug>/ — portfolio mode, you manage several brands
    • <product>/brand/ — the brand belongs to a product repo
  • Portfolio? — if managing multiple brands, register this one in brands/registry.yaml.

2. Scaffold the package

Run the bundled script (dependency-free). It lives at scripts/brand.sh relative to this skill's directory:

bash
# In Claude Code, ${CLAUDE_SKILL_DIR} expands to this skill's directory. In other
# agents, resolve scripts/brand.sh relative to where this SKILL.md was loaded.
bash ${CLAUDE_SKILL_DIR}/scripts/brand.sh init \
  --name "Acme" --one-liner "…" --out brand --date "$(date +%F)" \
  --register brands/registry.yaml      # omit --register for a single in-situ brand

This creates <out>/brand.yaml + <out>/assets/ and (if --register) upserts the registry. Pass --date explicitly when you want a reproducible run.

3. Hand off

Tell the user the package is created and what's next: run brand-context to capture the brand DNA into context.md, then naming / brand-strategy / etc. — each writes into this package and flips its flag in brand.yaml.

Querying the portfolio

bash
# ${CLAUDE_SKILL_DIR} = this skill's directory in Claude Code; elsewhere use scripts/brand.sh
# relative to where this SKILL.md was loaded.
bash ${CLAUDE_SKILL_DIR}/scripts/brand.sh list --registry brands/registry.yaml
# slug · name · one-liner · path · [status]

Use this to answer "what brands do we have / where do they live / what's the one-liner" without opening each package.

Rules

  • The registry is a SSOT file, never agent memory. Brand locations + one-liners are data → they belong in registry.yaml (git-tracked, shareable), not an LLM's per-machine memory.
  • Don't pre-create empty section files. Only brand.yaml + assets/ at init; each skill creates its own *.md when it runs.
  • Never overwrite an existing package. The script refuses; respect that.

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 Init AI skill do?

Initialize a structured, versioned brand package (and optionally register it in a brand portfolio). Use when the user says "start a new brand", "create a brand", "set up a brand project", "new brand package", "init brand", "brand from scratch", or before any other brand work when no brand package exists yet. Creates brand.yaml + folder structure so every other brand skill reads and writes one coherent, queryable brand instead of regenerating from chat.

Why use Brand Init on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cofoundy/brand-skills/tree/main/skills/brand-init. 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 Init?

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 Init?

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

Is the Brand Init 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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