Agent skill

Business Name Fit

by alirezarezvani in alirezarezvani/claude-skills

Suggest, pick, or vet a business, startup, or product name that stays true to the founder's cultural origin while working professionally in the markets they want to sell into.

MITAuto-check passed

Install Business Name Fit

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill business-name-fit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alirezarezvani/claude-skills business-name-fit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/marketing-skill/skills/business-name-fit .claude/skills/business-name-fit && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
business-name-fit
GitHub stars
28k
Token cost
~2.8k tokens
SKILL.md length
1,569 words
Files
3 (incl. references)
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

Suggest, pick, or vet a business, startup, or product name that stays true to the founder's cultural origin while working professionally in the markets they want to sell into.

  • Works in 5 steps: Gather the essentials → Run the fit checks (the heart of the… → If suggesting new names → …
  • Someone is naming a company
  • SKILL.md covers Overview, Step 1 — Gather the essentials, Step 2 — Run the fit checks… and Step 3 — If suggesting new names, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Business Name Fit is an agent skill from alirezarezvani/claude-skills. Suggest, pick, or vet a business, startup, or product name that stays true to the founder's cultural origin while working professionally in the markets they want to sell into. Use when someone is naming a company, brand, or product and cares about how it lands across languages and regions — for example a name that sounds right at home but might read oddly to English speakers, or an authentic name they want to check before committing. Trigger this for any request about choosing a business name, checking if a name…

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/naming-research.md` and `references/worked-examples.md`).

The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • Someone is naming a company
  • An authentic name they want to check before committing
  • This for any request about choosing a business name
  • Checking if a name works abroad

Example prompts

  • “t say the word”
  • “/business-name-fit”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Gather the essentials
  2. Run the fit checks (the heart of the skill)
  3. If suggesting new names
  4. Present the results
  5. Hand over the verification steps

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Business Name Fit loads about 2.8k tokens when it runs, and up to ~6.2k if it reads all its reference files. Until then it costs about 175 tokens; SKILL.md has 1,569 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~175
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 1,569 words, ~2,765 tokens.

Download SKILL.mdSave it as .claude/skills/business-name-fit/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
business-name-fit
description
Suggest, pick, or vet a business, startup, or product name that stays true to the founder's cultural origin while working professionally in the markets they want to sell into. Use when someone is naming a company, brand, or product and cares about how it lands across languages and regions — for example a name that sounds right at home but might read oddly to English speakers, or an authentic name they want to check before committing. Trigger this for any request about choosing a business name, checking if a name "works" abroad, spotting bad meanings in other languages, or making a name sound trustworthy in a specific market — even if the person doesn't say the word "skill".

Business Name Fit

Overview

Help founders choose or check a business/brand/product name that is authentic to their origin and lands well in the market where they'll operate.

The core value is catching the mismatch between the two: a name can be perfectly good in its home language yet confusing, funny, or off-putting elsewhere. Examples:

  • The Persian name "Anali" is fine in Iran but reads oddly to English speakers.
  • The Swedish word "framåt" ("forward") can sound like "frame" to an English ear.

This skill both suggests new names and checks names the person already has.

Step 1 — Gather the essentials

If the skill is invoked with nothing else to go on (e.g. just /business-name-fit, no name, no context), don't launch into the full list below. Ask one question first, and wait for the answer:

Are you looking to find a new name, or check one you already have?

Once that's answered, ask only for what's still missing from the conversation. Keep it to a couple of short questions.

  1. Origin — the founder's culture/language or the company's home base (e.g. Persian/Iran, Swedish/Sweden, Mandarin/China).
  2. Target market(s) — where the business will operate (e.g. international/English-speaking, EU, China, Arabic-speaking countries). There can be more than one.
  3. Business area — the industry or field, because tone matters (a law firm and a candy brand need different feels).
  4. Mode — do they want new name ideas, a check of names they already have, or both? (Already answered above if the skill opened with the find-or-check question.)
  5. Existing names — if they're checking, collect the candidates.
  6. Desired feel (optional) — modern, traditional, playful, premium, etc.

Step 2 — Run the fit checks (the heart of the skill)

Run every candidate name through these checks, once per target market:

  • Meaning — Does it mean something unintended, negative, funny, or taboo in the market's language(s)? Include slang.
  • Look-alike — Does it resemble an existing word that changes the impression (e.g. framåt → "frame")?
  • Pronunciation — Can people in the target market say it easily, or does it get mangled?
  • Spelling — After hearing it, can they spell it? Watch for tricky letter combos and origin-language diacritics (å, ø, ç, etc.) that won't survive in English.
  • Distinctiveness — Where does it sit on the WIPO scale: generic, descriptive, deceptive, suggestive, arbitrary, or coined? Generic and descriptive names are weak and often cannot be registered at all — say so plainly, because a founder can build a business on such a name and still never own it. Reject deceptive names outright. Judge this separately per market: a word that is plainly descriptive at home may be arbitrary and strong abroad, and the reverse.
  • Sound — Say it aloud. Does its sound-feel match the field? Front vowels (ee, i) read light and quick; back vowels (o, u) solid and heavy; hard plosives (p, t, k, b, d, g) sharp and firm; soft fricatives and nasals (s, f, m, l, n) smooth and gentle. Note honestly that these associations come mainly from English-language research and do not transfer automatically to other languages.
  • Tone fit — Does it feel trustworthy and appropriate for that industry and that market?
  • Origin authenticity — Does it still genuinely reflect the founder's origin, or has it been flattened into something generic?

Also weigh the classic evaluation criteria: relevance to the category, connotations, overall liking, ease of recognition, distinctiveness, and ease of recall.

references/naming-research.md holds the sources and reasoning behind these checks — read it when a founder asks why, or when a name category or sound effect needs explaining in depth. references/worked-examples.md shows three full cases end to end (a name fixed, a name approved, a name rejected) — read it when you need a model for how a finished analysis should read.

Be honest about confidence. If unsure whether a name carries an odd meaning or slang sense in a language, say so plainly and recommend a native-speaker check before the founder commits.

Step 3 — If suggesting new names

Every suggestion must satisfy three constraints at once: rooted in the origin, professional for the industry, and clean in the target market. A name that meets only two of the three is not a valid suggestion — drop it and find another.

3a. Write the naming brief first — before generating anything. Founders (and firms generally) tend to work out what they actually want from a name only after they have fallen for a candidate, which corrupts the judgement. So write it down first, in one or two lines: what the business promises its customers, what feeling that promise needs, and what the name must therefore do. Then pick origin words that carry that meaning. Examples of the logic:

  • Childcare → warmth, safety, gentleness. Not power or speed.
  • Consultancy, law, finance → competence, stability, discretion. Not cuteness.
  • Art authentication, certification, security → authenticity, precision, trust.
  • Health → care, cleanliness, calm.
  • Technology → clarity, motion, forwardness.

3b. Draw the raw material from the origin language.

  • Real words, roots, names, places, or concepts from the origin language.
  • Meaningful cultural ideas (nature, values, mythology) shaped into short, sayable forms.
  • Light blends or coined words that keep an origin flavor.

Prefer a word whose literal meaning is itself the value proposition — a Persian word meaning "authentic" for an authentication company beats a merely beautiful word. But stop short of plainly describing the product: aim for names that hint (suggestive), use an unrelated real word (arbitrary), or are invented (coined). These are both more memorable and far more likely to be registrable than a descriptive name.

3c. Apply the professional-quality bar. Reject a candidate if it:

  • is hard to say or spell in the target market after one hearing;
  • carries a tone that clashes with the field (playful for a law firm, clinical for a toy brand);
  • needs an accent or non-Latin character to read correctly;
  • is longer than about three syllables, or looks like a random invented string;
  • sounds like a personal first name when the business needs institutional credibility.

3d. Sanity-check against the market's naming conventions. Names carry different weight by region — what reads as confident in the Gulf may read as overblown in the Nordics. Make sure the name would not look out of place next to established firms in that field and that market.

3e. Run every surviving candidate through the Step 2 checks, then hand off to Step 4 to present them.

Offer 3–5 strong candidates rather than a long weak list.

Show full SKILL.md (516 more words)Show less

Step 4 — Present the results

Default to a compact table, every time — checking existing names and presenting new suggestions both work this way. The whole answer should be readable at a glance: no scrolling through prose to find the verdict.

  • Checking names — one row per name (one row per name × market if there's more than one market). Columns for whatever checks actually mattered for that name — not all eight every time. Cells hold a symbol plus 2–4 words (e.g. ❌ reads as slur (EN), ⚠️ crowded namespace), never a sentence.
  • Suggesting names — one row per candidate: origin meaning, target-market read, verdict. Same rule — phrases in cells, not paragraphs.

After the table, add at most one short line naming the 2–3 strongest options. Never present a single favourite as if it were the only option.

Stop there. Do not add check-by-check breakdowns, reasoning paragraphs, or a written verdict for each name unless the person asks for more — "why", "explain", "tell me more about X", "detailed report" — in which case expand only the part they asked about, still as briefly as clarity allows.

Step 5 — Hand over the verification steps

Close every session with a short list of what still has to be checked — one line each, this skill cannot confirm any of it:

  • Trademark — search the register in each target market before spending on the name (a formal step, not an afterthought).
  • Domain & handles — availability where the founder will actually use them.
  • Business registry — the company register in the home country.
  • Native-speaker gut check — a real speaker in each target market, for the finalists.

Expand any of these only if asked.

Anti-Patterns

  • Don't split the checks by feel alone. A name can pass the sound check and fail the look-alike or spelling check (or the reverse) — always run every check, don't stop once one check feels conclusive. See Scenario A in references/worked-examples.md.
  • Don't call a name "safe" on meaning alone. Distinctiveness (the WIPO scale) is a separate, legal question. A name can be linguistically clean and still be generic or descriptive — weak and hard to register — or the reverse.
  • Don't treat English/Western sound-symbolism findings as universal. They come mainly from English-language research (Pogacar et al.) and do not automatically transfer to Persian, Arabic, Mandarin, or any other target market — say so when it matters.
  • Don't present one favourite. Offer 3–5 candidates; a founder evaluating only one option isn't evaluating.
  • Don't skip the find-or-check question when the skill opens with no context. Guessing origin, market, or industry produces suggestions that don't fit.
  • Don't let this skill's output stand in for verification. It cannot check trademark, domain, or business-registry availability — always close with Step 5.
  • Don't write a check-by-check essay by default. The default output is a compact table (Step 4); expand only when asked.

Cross-References

  • brand-guidelines (marketing-skill/skills/brand-guidelines) — use after a name is chosen, to build the visual and verbal identity system around it.
  • copywriting (marketing-skill/skills/copywriting) — use once the name is locked, for tagline and messaging work that needs to match the name's tone.
  • marketing-context (marketing-skill/skills/marketing-context) — load first if available; ICP and positioning context should inform which candidate names fit best.

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in marketing-skill/skills/business-name-fit of alirezarezvani/claude-skills.

  • SKILL.md
  • references/naming-research.md
  • references/worked-examples.md

Open the folder on GitHubat commit 19392f7

Compare with similar skills

Business Name Fit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Business Name Fit this skillalirezarezvani/claude-skills28k—~2.8kAutomated safety check: PassMIT
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Agent Browserquran/quran.com-frontend-next1.9k40 repos~3.3kAutomated safety check: PassNone
Dependency Watchtelegramdesktop/tdesktop33k1 repos~2.2kAutomated safety check: PassGPL-3.0
Perform Tasktelegramdesktop/tdesktop33k2 repos~3kAutomated safety check: PassGPL-3.0

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Questions about Business Name Fit

What does Business Name Fit do?

Suggest, pick, or vet a business, startup, or product name that stays true to the founder's cultural origin while working professionally in the markets they want to sell into. Business Name Fit is an agent skill from alirezarezvani/claude-skills. Suggest, pick, or vet a business, startup, or product name that stays true to the founder's cultural origin while working professionally in the markets they want to sell into.

When should I use Business Name Fit?

Business Name Fit fits situations like: someone is naming a company; an authentic name they want to check before committing; this for any request about choosing a business name; checking if a name works abroad.

How do I install Business Name Fit in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill business-name-fit -a claude-code`. Or copy the skill folder (marketing-skill/skills/business-name-fit in alirezarezvani/claude-skills) into .claude/skills/business-name-fit in your project. Claude Code loads it when a task matches its description.

How do I install Business Name Fit in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill business-name-fit -a codex`. Or copy the skill folder (marketing-skill/skills/business-name-fit in alirezarezvani/claude-skills) into .agents/skills/business-name-fit in your project. Codex loads it when a task matches its description.

Can I use Business Name Fit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill business-name-fit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/business-name-fit, .gemini/skills/business-name-fit, .github/skills/business-name-fit and .opencode/skills/business-name-fit in your project.

What does Business Name Fit need to run?

SKILL.md names no scripts, command-line tools or credentials: Business Name Fit is instructions for the agent only.

Does Business Name Fit access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Business Name Fit safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Business Name Fit use?

Business Name Fit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Business Name Fit use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.4k tokens, read only when the agent opens those files.

What are the alternatives to Business Name Fit?

Skills that share tags, products or a category with Business Name Fit: Idea Refinement (addyosmani/agent-skills, 105k stars), HTML PPT Studio (lewislulu/html-ppt-skill, 8.6k stars), Agent Browser (quran/quran.com-frontend-next, 1.9k stars) and Dependency Watch (telegramdesktop/tdesktop, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Business Name Fit?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,938 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.