brand-naming
Skill1 starsChanged 4 months agoMITView on GitHub
Brand, product, company, startup, app, AI agent, feature, or project name generator and name evaluator — grounded in David Placek's (Lexicon Branding) methodology, the process behind Sonos, Pentium, Blackberry, Powerbook, Swiffer, Vercel, Windsurf, CapCut, and Azure. Use when the user wants to name, rename, brand, or rebrand anything, or says things like 'help me name X', 'brainstorm names', 'come up with a name', 'rename this', 'what should we call it', 'startup name ideas', 'product name suggestions', 'naming workshop'; or wants to pressure-test a candidate against trademark sanity, processing fluency, polarization, and sound symbolism. Two modes — QUICK (~50 candidates across coined/compound/metaphor/cross-domain buckets with rationales) and FULL (guided workshop: Diamond exercise → disguised briefs → screening → stakeholder shortlist). Skip for variable/function/file/symbol naming inside code unless the user explicitly wants brand treatment.
6 other projects use a version of this.
Adopted by
Most recently taken up by
- rolandtolnay/llm-toolkittheir own version, first seen Oct 11, 2026
- SkillMedev/brand-visual-identitytheir own version, first seen Oct 5, 2026
- productionx-in/Core-Skillstheir own version, first seen Sep 29, 2026
- Dragoon0x/10x-brandingtheir own version, first seen Aug 29, 2026
- mehtab78/skillstheir own version, first seen Jul 4, 2026
- sonwr/mcp-domain-radartheir own version, first seen Mar 27, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- Dragoon0x/10x-branding★ 2same name
- mehtab78/skills★ 1same name
- productionx-in/Core-Skills★ 1same name
- rolandtolnay/llm-toolkit★ 1same name
- SkillMedev/brand-visual-identity★ 1same name
- sonwr/mcp-domain-radar★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository9 other files it gives its agents.
- add-umami-analyticsSkill
- amazon-writingSkill
- creativity-rejectionismSkill
- explain-diff-notionSkill
- explain-diffSkill
- explain-notionSkill
- explainSkill
- fetch-paperSkill
- ml-paper-writingSkill
The file
We split this skill into the rules it gives an agent
12 rules. 0 are common, 11 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
11
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Ask the user once: Quick or Full?
- Distinctive: line 17
If they don't specify, recommend Quick for features/internal tools, Full for company/public product.
- Distinctive: line 25
Polarization is a signal of strength: If half the team loves it and half hates it (Pentium vs.
- Distinctive: line 26
Behavior and experience > positioning and values: Ask "how do you want to behave in the market, and how should the market behave toward …
- Distinctive: line 34
When user picks quick mode:
- Distinctive: line 45
Do NOT pre-rank by "best." Present neutrally so the user can react.
- Distinctive: line 50
When user picks full mode, run these phases in order.
- Distinctive: line 68
Ask each corner in order:
- Very specific: line 88
Use references/sound-symbolism.md to bias letter choice toward the framework's desired feeling (alive → V/Z, reliable → B/D, fast → X/K, …
- Distinctive: line 94
Run candidates through these gates in order.
- Distinctive: line 105
Don't ask "which do you like." Run these drills with the user:
- Distinctive: line 117
If the user gravitates toward a safe descriptive name ("CodeFlow", "DataPro", "AIAssist"), gently surface the Azure-vs-CloudPro lesson and …
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Brand Naming (Placek Methodology)
This skill encodes David Placek's naming methodology (Lexicon Branding, ~4000 projects, 40+ years). Use it whenever the user wants to invent a brand-level name.
First step: pick a mode
Ask the user once: Quick or Full?
- Quick (~5 min): user gives a one-line brief, you return ~50 candidates grouped by direction with sound-symbolism + processing-fluency rationales. Skip the Diamond and disguised briefs.
- Full (~30–60 min interactive): run the Diamond exercise, generate against 3 disguised briefs, target 500–1000+ raw ideas, then screen down to a shortlist. Use when stakes are high (company name, public product launch, rebrand).
If they don't specify, recommend Quick for features/internal tools, Full for company/public product.
Core principles (apply in both modes)
These come from Placek directly. Internalize them — they drive every decision below.
- Distinctiveness beats descriptiveness. "CloudPro" loses; "Azure" wins. Descriptive names disappear into a sea of competitors. A great name starts a story, not makes a statement.
- You won't know it when you see it. The right name almost always feels uncomfortable on first read. Comfort = familiarity = past = forgettable. Don't filter on "do I like it" — filter on "what does it do".
- Polarization is a signal of strength. If half the team loves it and half hates it (Pentium vs. ProChip), that's the right name. Consensus on a name usually means it's safe and weak.
- Behavior and experience > positioning and values. Ask "how do you want to behave in the market, and how should the market behave toward you?" — not "what are your values."
- Tangible-ize the intangible. Software/AI/services need a physical metaphor (Windsurf = flow, Blackberry = device-as-fruit). If the product is abstract, force a concrete image.
- Compounds are multipliers. Powerbook, Facebook, Blackberry, Windsurf. Two familiar morphemes → 1+1=3 associations. Don't dismiss compounds for being "long."
- Suspend judgment; speculate. Generate volume first. 200 names isn't enough — push to 1000+. Then ask "what could we do with this?" not "is this good?"
- The .com doesn't matter much. Get the right name first; buy the domain second, or use a prefix/
.ai/.co.
Mode A: Quick generator
When user picks quick mode:
- Gather a one-paragraph brief: what does the product do, who's it for, how should it feel, what's the competition called.
- Generate at least 50 candidates across these direction buckets (label each bucket):
- Coined / invented (Vercel, Sonos, Pentium) — morpheme + morpheme
- Compound (Windsurf, Blackberry, Powerbook) — two familiar words
- Metaphor / experience word (Azure, Swiffer, Cursor) — evokes feeling
- Mythological / classical (Anduril, Anthropic, Atlas) — use sparingly; warn this is the engineer-default trap
- Cross-domain pull (the "magazine trick" — pick a word from a totally unrelated field like sailing/cooking/architecture)
- For each name, write one line of rationale citing: sound-symbolism letter assets, morpheme meaning, processing fluency, and what the name does for the reader. See references/sound-symbolism.md.
- Mark candidates with a
⚡if they are likely to polarize the team (this is good — call it out). - Do NOT pre-rank by "best." Present neutrally so the user can react.
- Close with: "Test the top 3 by telling a friend 'a new competitor just launched called [name]' and listen to what they imagine. Don't ask 'do you like it.'"
Mode B: Full workflow
When user picks full mode, run these phases in order. Each is interactive — pause for user input between phases.
Phase 1: Identify (the Diamond)
Walk the user through the Diamond exercise. Draw it in text:
WIN
(how do we define winning?)
/ \
/ \
WHAT TO -+------+- WHAT WE
SAY | | HAVE
\ /
\ /
WHAT WE NEEDAsk each corner in order:
- WIN — how do you define winning? (Five people in a room will give five answers. Surface them all.)
- WHAT WE HAVE — what do we already have that helps us win?
- WHAT WE NEED — what's missing? (Talent, distribution, capability, etc. People often say "a good name" — correct them: the right name, not a good one.)
- WHAT TO SAY — what do we need to say to the market to win? Spend the most time here.
Then the behavior question: "How do you want to behave in the marketplace, and how should the marketplace behave toward you?" Then the competitive landscape: list 5–10 competitor names and the language they all use.
Synthesize into a creative framework (3–5 bullets). This replaces "objectives" — it's a window, not a target. Get user sign-off before moving on.
Phase 2: Invent (disguised briefs)
This is the unique Placek move. Generate against three parallel briefs:
- Brief A — real brief. Generate ~200 candidates directly against the framework.
- Brief B — adjacent disguise. Pretend the product is in a different category (if it's an AI IDE, pretend it's a kitchen appliance, or a sailboat, or a sports brand). Generate ~200 candidates for that product.
- Brief C — pure cross-domain. Pick a totally unrelated context (hunting magazine, architecture journal, cooking show, a sport). Generate ~200 words/phrases from that world. Don't try to make them "fit" — just collect.
Most winning names come from B or C. Windsurf came from a "flow / dynamic movement" list, not from an "AI coding tool" list.
Use references/sound-symbolism.md to bias letter choice toward the framework's desired feeling (alive → V/Z, reliable → B/D, fast → X/K, calming → soft S/L/M).
Aim for 500–1000+ total ideas before any screening. Resist the urge to evaluate during generation.
Phase 3: Screen (the funnel)
Run candidates through these gates in order. Each gate eliminates a lot.
- Trademark sanity — flag obvious conflicts (existing famous brands, identical strings in the same category). For real legal clearance the user needs a TM attorney; say so.
- Linguistic / cultural — flag words that mean something bad in a major language, sound like a slur, or share a string with a known disaster/scandal. If unsure, say "verify with a native speaker of X."
- Processing fluency — drop anything hard to pronounce, spell, or remember on first read. Vercel passes (ver + cel, both familiar). "Xqzlith" fails.
- Distinctiveness vs. landscape — drop anything that sounds like an existing competitor or uses the category's tired vocabulary.
Output: a shortlist of 10–15 survivors, grouped by direction.
Phase 4: Implement (pressure-test the shortlist)
Don't ask "which do you like." Run these drills with the user:
- Polarization check. Show the list to 3–5 teammates. Names where opinion splits are good signals (Pentium story). Names everyone agrees on are usually weak.
- Competitor drill. For each top candidate, frame it as: "A new competitor just launched called [name]." Ask what the listener imagines. The name's job is to fire imagination.
- "They're not like the other guys" test. A winning name makes a stranger say "I don't know what they do exactly, but they're not like the others."
- Prototype it. Mock the name into 2–3 contexts: a logo treatment, a headline ("[Name] raises $50M Series B"), a product label. Does it carry?
- Future-flexibility. Will the name still work if the product pivots 15 degrees? Sonos worked because it was about sound, not "entertainment."
Recommend a top 3. For each, write a one-paragraph rationale the user can take to stakeholders — armor for the inevitable "I don't like it" reaction. Remind them: boldness > comfort. There is no power in comfort.
When to push back on the user
If the user gravitates toward a safe descriptive name ("CodeFlow", "DataPro", "AIAssist"), gently surface the Azure-vs-CloudPro lesson and ask them to live with a bolder candidate for 24 hours before deciding. Don't be preachy — just name the pattern.
If the user is renaming an existing product, confirm the trigger fits one of Placek's three valid reasons: (1) the original was a throwaway "we just needed something" name; (2) the company genuinely pivoted; (3) a merger or major capability expansion. If none apply, the rename may not be worth the cost.
Reference
references/sound-symbolism.md — letter-by-letter sonic and semantic associations Placek's team uses to bias name construction, plus compound/morpheme guidance and the named-examples library. Load when generating candidates or writing rationales.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

