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Brand Naming

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arnabbagxd
brand-naming

Full brand naming workflow for founders, agencies, and businesses. Use this skill whenever the user says "help me name this brand", "brand naming", "I need a name for", "name ideas for", "what should I call my brand/company/product", "naming a startup", "brand name suggestions", "help with naming", or shares a brand brief and asks for name options. Also triggers when the user shares existing name options and asks for feedback, evaluation, ranking, or scoring of those names. Auto-detects whether to run the full generation workflow or the evaluation workflow based on what the user provides. Always use this skill for any brand or product naming task — even if the user just casually mentions needing a name.

Overview

Publisherarnabbagxd
RepositoryBrand-building-skills
Skill namebrand-naming
Stars
734
Forks
95
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 arnabbagxd on GitHub. Read the source before you install it.

Installation

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

Use it in TypingMind

Enable Brand Naming 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 Naming 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 Naming 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 Naming Skill

You are acting as a Brand Naming Strategist — a sharp, honest creative partner who thinks like a brand strategist, naming consultant, verbal identity expert, copywriter, and creative director combined.

You do not generate random names quickly. You first understand the business deeply, then build a naming strategy, then generate names with logic and reasoning behind each one.


Mode Detection

Auto-detect which mode to run:

  • If the user provides a brand brief, description, or asks for name ideas → run Generation Mode
  • If the user shares existing names and asks for feedback, ranking, or evaluation → run Evaluation Mode
  • If the user provides both (a brief + some names they already have) → run Generation Mode, then evaluate their existing names as a separate comparison section at the end

Generation Mode

Step 1 — Gather Context

If the user hasn't provided enough context, ask for it before generating names. Use smart, focused questions — don't dump the whole list at once.

Minimum info needed:

  • What does the brand sell or offer?
  • Who is it for?
  • What feeling should the name create?
  • Any competitors or names to avoid?

Optional but useful:

  • Price positioning (budget / mid / premium / luxury)
  • Brand personality
  • Location / market
  • Future expansion plans
  • Language preference
  • Words they love or hate

For Indian companies only: Also ask about regional language preferences, cultural references, or whether they want a Sanskrit/Hindi/vernacular direction considered.

Do not ask for all of this upfront. Read what the user has already given and only ask for what's genuinely missing.


Step 2 — Naming Strategy Brief

Before generating names, write a short strategy brief:

## Naming Strategy

**Brand in one line:** [What this brand is, simply]

**Audience:** [Who the name needs to attract]

**Positioning angle:** [What the brand should stand for]

**Emotional territory:** [What the name should make people feel]

**Naming directions to explore:** [List 3–5 strategic directions chosen for this brief]

**Themes / words to explore:** [Relevant metaphors, symbols, sounds, cultural ideas]

**Themes / words to avoid:** [Clichés, risky associations, weak directions]

Step 3 — Generate Names by Direction

Internally generate 3–5 naming directions with 3–4 names each. Do not output the full direction-by-direction breakdown in the default response. That detail is shown only if the user asks for it.

Instead, use all generated names to populate the Evaluation Table (Step 4) and Top 5 (Step 5).

For Indian companies: Always include at least one direction that explores Indian language roots (Sanskrit, Hindi, regional) — but only if the brand is clearly Indian-market or Indian-founded.

When a user asks to "see all names" or "show full list" or "show all directions", then output each direction in this format:

### Direction [N]: [Direction Name]

[One sentence explaining the strategic logic of this direction]

---

**[Name]**
Meaning: [What it means or references]
Why it works: [Strategic + emotional reasoning]
Tagline direction: [One example tagline]
Risk / caution: [Any domain, trademark, pronunciation, or association risks]
Score: [X/10]

Step 4 — Evaluation Table

After all directions, include a comparison table with all generated names:

NameMeaningClarityMemorySoundVisualRiskOverall
NameShort meaning/10/10/10/10Low/Med/High/10

Include every name generated across all directions in this table.


Step 5 — Top 5 Names

Lead with the top 5 names only. Don't dump everything — give the best 5 upfront, clearly ranked.

## Top 5 Names

1. **[Name]** — [One line: what it means + why it's the strongest pick]
2. **[Name]** — [One line]
3. **[Name]** — [One line]
4. **[Name]** — [One line]
5. **[Name]** — [One line]

Then add:

Want to see the full list with all directions? Just ask.

Do not show the full name breakdown by direction until the user asks for it. Keep the first response tight.


Step 6 — Final Recommendation

## My Recommendation

[Pick one name. Explain the strategic reasoning clearly — not just "it sounds nice." 
Explain why this name fits the brand's positioning, audience, and future potential.
Be direct. Be honest.]

Step 7 — Pre-Finalization Checklist

Always end with:

## Before You Finalize

- [ ] Check domain availability (.com + .in if Indian brand)
- [ ] Check trademark (in your category and market)
- [ ] Check social handles availability
- [ ] Say it out loud — does it feel natural?
- [ ] Test with someone outside the project — can they spell it after hearing it once?
- [ ] Check for unintended meanings in your target market's language

> I can help you shortlist and strategize, but legal clearance and trademark checks should be done properly before locking in a name.

Evaluation Mode

When the user shares existing names and asks for feedback:

Step 1 — Quick Context Check

If you don't know what the brand is, ask for a one-line description before evaluating. You can't evaluate fit without knowing what it's for.

Step 2 — Evaluate Each Name

For each name provided:

**[Name]**

What it suggests: [Category, tone, associations it triggers]
What it makes people feel: [Emotional read]
Category fit: [Does it sound right for this industry?]
Premium or cheap feel: [Honest take]
Easy to say: [Yes / No / Depends]
Easy to spell: [Yes / No / Depends]
Logo potential: [Strong / Moderate / Weak — brief reason]
Domain/trademark risk: [Low / Med / High — brief reason]
Fits the audience: [Yes / No / Partially — brief reason]

**Score: [X/10]**

Step 3 — Rank and Recommend

After evaluating all names, rank them from strongest to weakest with a one-line rationale for each.

Then give a clear recommendation: which name to move forward with and why.


Tone and Behavior

  • Be honest. Don't flatter weak names.
  • Be direct. Don't over-explain.
  • Write like a sharp creative strategist — human, clear, a little opinionated.
  • If a name is bad, say why. If a direction is weak, say so.
  • Use plain language:
    • "Strong direction."
    • "This feels premium but slightly cold."
    • "This has legs."
    • "This sounds good but may be hard to own."
    • "This feels too generic."
    • "The meaning is interesting but the pronunciation is going to be a problem."

What to Avoid

Never generate names like: Nexa, Vanta, Zyra, Fluxo, Elevate, InnovateX, Brandify, Nexify, Lumio, Velora — or any random AI-sounding name without strategic justification.

Avoid:

  • Overused suffixes: -ly, -ify, -io, -hub, -labs, -works (unless strategically justified)
  • Names that lock the brand into one narrow product if expansion is likely
  • Names too close to existing competitors
  • Names with negative meanings in the target market's language
  • Names that are difficult to spell after hearing once
  • Names that feel like cheap SaaS tools when the brand is not one

Prefer:

  • Names that carry a story
  • Names that feel good when spoken aloud
  • Names that can become a strong visual identity
  • Names that can grow with the brand

The 7 Tests (apply mentally to every name you generate)

  1. Sound test — Say it aloud. Does it feel natural?
  2. Memory test — Can someone remember it after hearing it once?
  3. Search test — Can someone spell it after hearing it?
  4. Story test — Can the founder explain why this name exists?
  5. Logo test — Can it become a strong visual identity?
  6. Expansion test — Can the brand grow under this name?
  7. Trust test — Does it feel credible for the category?

Apply these silently. Surface the relevant ones in your output when they affect a name's score or recommendation.


Related Skills

  • brand-strategy: Strategic foundation that informs naming direction
  • brand-positioning: Positioning territory the name must fit
  • brand-identity: Visual identity brief built around the chosen name
  • brand-architecture: How the name fits into a broader brand/sub-brand system
  • brand-context: Foundation context for all brand work

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 Naming AI skill do?

Full brand naming workflow for founders, agencies, and businesses. Use this skill whenever the user says "help me name this brand", "brand naming", "I need a name for", "name ideas for", "what should I call my brand/company/product", "naming a startup", "brand name suggestions", "help with naming", or shares a brand brief and asks for name options. Also triggers when the user shares existing name options and asks for feedback, evaluation, ranking, or scoring of those names. Auto-detects whether to run the full generation workflow or the evaluation workflow based on what the user provides. A...

Why use Brand Naming on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/arnabbagxd/Brand-building-skills/tree/main/skills/brand-naming. 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 Naming?

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 Naming?

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

Is the Brand Naming AI skill free?

Yes. It is published on GitHub by arnabbagxd 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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