Brand architect
Skill genfeedai/skills/bundles/gtm-strategy/skills/brand-architect
AI skills for content creation, SEO, advertising, image prompting, and strategy. Works standalone with Claude Code — works better with Genfeed.ai. Install: bunx skills add genfeedai/skills
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Create brand foundations: name, positioning, voice, and strategic identity. Triggers on brand naming, positioning, voice, identity, differentiation, and day-one brand strategy.
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
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Brand Architect - Day-One Brand Strategy
Overview
Help indie founders build brands that scale using Hexa's "Branding from Day One" methodology. Execute strategic brand development by guiding users through naming, positioning, voice, and visual identity foundations.
Hexa's Core Principle: "The name of your business should reflect not only your initial point of entry in the market but also where you aim to be in the future."
When This Activates
- "What should I name it"
- Brand name questions
- Brand positioning
- Brand voice definition
- Logo, colors, visual identity
- "How do I differentiate"
- Trademark considerations
The Framework: Brand Architecture Stack
┌─────────────────────────────────────────┐
│ BRAND IDENTITY │
│ (Logo, Colors, Typography) │
├─────────────────────────────────────────┤
│ BRAND VOICE │
│ (Tone, Language, Personality) │
├─────────────────────────────────────────┤
│ BRAND POSITIONING │
│ (Who, What, Why Different) │
├─────────────────────────────────────────┤
│ BRAND NAME │
│ (The Foundation) │
└─────────────────────────────────────────┘
Build from bottom up: Name → Positioning → Voice → Identity.
Naming Strategies
| Strategy | Description | Examples | Best For |
|---|---|---|---|
| Descriptive | Clear category | Salesforce | B2B, SaaS |
| Evocative | Emotional resonance | Nike, Apple | Aspirational |
| Invented | New words | Spotify, Xerox | Tech, premium |
| Compound | Join words | Facebook, YouTube | Clear value prop |
| Portmanteau | Blend two words | Pinterest, Instagram | Apps, social |
| Misspelling | Creative respelling | Lyft, Flickr | Startups, apps |
| Suffix Pattern | Brand suffixes | Shopify, Grammarly | SaaS, tools |
| Founder | Personal name | Bloomberg | Personal brand |
Popular Suffixes: -ify, -ly, -io, -hub, -ment, -able
Popular Prefixes: get-, try-, go-, my-, super-
Name Evaluation
Brandability Score (1-10 each)
- Memorability: Shorter = better
- Pronounceability: Vowel ratio, consonant clusters
- Spellability: Common patterns, no confusion
- Uniqueness: Distinctiveness in market
- Domain Available: .com bonus
Viability Score (1-5 each)
- Easy to spell/pronounce
- Memorable
- Domain available
- Trademark-able
- Works at scale
- International friendly
Minimum viability score: 35/50
Validation Checklist
- Easy to spell when heard
- Easy to pronounce when read
- No trademark conflicts
- No negative connotations in target markets
- Domain available (preferred TLD)
- Social handles available
Name Generation Workflow
- Gather context (industry, keywords, constraints)
- Generate 20-30 candidates using multiple strategies
- Score brandability + viability
- Check domain availability
- Recommend top 3-5 with rationale
Positioning Statement Template
For [target customer]
who [problem/need],
[Product Name] is a [category]
that [primary benefit].
Unlike [primary alternative],
we [key differentiator].
Brand Voice Framework
| Dimension | Spectrum |
|---|---|
| Formal ↔ Casual | [Position] |
| Serious ↔ Playful | [Position] |
| Expert ↔ Approachable | [Position] |
Integration
- Genfeed copywriter - Brand-consistent copy
startup-icp-definer- Define audiencemicro-landing-builder- Brand-aligned pages
For complete naming evaluation matrices, positioning maps, voice definition frameworks, visual identity guidelines, color psychology reference, and output templates, see: references/full-guide.md
Gives 0 of the 12 instructions most architecture codebase skills give in 907 tokens
Counted across 811 of the 1,134 authors here whose files we hold, read 2026-08-06
- ask the user which candidate to explorein 46 of 811, across 16 files
- apply the deletion test to suspected shallow modulesin 43 of 811, across 15 files
- read any relevant architecture decision records firstin 31 of 811, across 7 files
- use exact glossary terms in every suggestionin 29 of 811, across 9 files
- accept dependencies instead of creating themin 24 of 811, across 5 files
- include before and after visualisations for each candidatein 24 of 811, across 5 files
- read the domain glossary before exploringin 24 of 811, across 6 files
- return results instead of producing side effectsin 23 of 811, across 4 files
- explore the codebase for shallow modules and frictionin 23 of 811, across 3 files
- introduce seams only where things varyin 22 of 811, across 3 files
- reduce the number of methodsin 21 of 811, across 2 files
- design deep modules with small interfacesin 21 of 811, across 2 files
Said here and by no other author read
- build the brand identity stack from bottom up
- generate 20 to 30 naming candidates
- score candidates for brandability and viability
- reject candidates scoring below 35 out of 50
- check domain availability for candidates
- recommend top 3 to 5 names with rationale
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.