Evaluates or generates business, brand, or product names that balance cultural authenticity with professional viability in specific target markets. It checks for linguistic pitfalls, trademark distinctiveness, and tonal fit across different languages and regions.
Say it in your own words; the assistant finds this recipe by itself. Examples:
Use this skill when a founder needs to vet an existing name for negative connotations or pronunciation issues in a new market. It is also appropriate when generating new name ideas that must reflect the founder's origin while remaining professional and registrable in the target region. This is the right choice for requests involving cross-linguistic brand safety, trademark distinctiveness checks, or cultural tone alignment.
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.
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.
Run every candidate name through these checks, once per target market:
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.
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.
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.
❌ reads as slur (EN), ⚠️ crowded namespace), never a sentence.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.
Close every session with a short list of what still has to be checked — one line each, this skill cannot confirm any of it:
Expand any of these only if asked.
references/worked-examples.md.marketing-skill/skills/brand-guidelines) — use after a name is chosen, to build the visual and verbal identity system around it.marketing-skill/skills/copywriting) — use once the name is locked, for tagline and messaging work that needs to match the name's tone.marketing-skill/skills/marketing-context) — load first if available; ICP and positioning context should inform which candidate names fit best.LICENSESKILL.mdreferences/naming-research.mdreferences/worked-examples.mdVendored from alirezarezvani/claude-skills, commit 27cfcd0fb0a4, path marketing-skill/skills/business-name-fit, licence MIT. The upstream licence file ships inside the skill.