Brand kit
Skill matteotitta/claude-code-marketing-quickstart/.claude/skills/brand-kit
Extract visual identity from screenshots (primary) or website URL (fallback) and compile into a DESIGN.md-format brand kit — YAML token frontmatter (colors, typography, rounded, spacing, components) + 8 ordered prose sections. The YAML tokens are machine-authoritative; downstream visual skills consume them directly. Writes to marketing/brand/brand-kit.md. Triggers - "brand kit", "brand identity", "visual identity", "design tokens", "extract brand", "DESIGN.md"From its SKILL.md
npx -y skills add matteotitta/claude-code-marketing-quickstart --skill brand-kitAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
SKILL.md
5.2 KB, 930 tokens by cl100k_base, as published. Nobody here has run it
brand-kit — Stage 1 + 2 research skill (PMM spine)
Compiles visual identity into a structured brand kit. Output format: DESIGN.md (YAML token frontmatter + 8 prose sections). The YAML tokens are the machine-authoritative source — downstream skills that produce visual output (landing-page wireframes, ad creative briefs, slide decks) consume the tokens directly.
When to use
- When the team refreshes visual identity (new color palette, new typography system)
- Before building any landing page, ad creative, or designed artifact — they need the brand kit as input
- Quarterly refresh
When NOT to use
- For voice / tone (use
/tov-guidelines— voice + visual are separate but both live inmarketing/brand/) - For positioning or messaging (use
/positioningor/product-messaging) - For one-off design checks (write a custom gate skill that reads
brand-kit.mdtokens)
How it works
- Inputs: screenshots of your product / website (primary, higher fidelity) OR website URL (fallback, lower fidelity).
- Reads: visual content via Claude's vision (screenshots) or Exa MCP web fetch (URL).
- Extracts: exact colors (hex codes), typography stack (font family + sizes + weights + line heights + letter spacing), spacing scale, corner radii, component patterns (button states, card styles, input styles, etc.).
- Produces a DESIGN.md-format brand kit:
- YAML token frontmatter (machine-authoritative): colors, typography, rounded, spacing, components — token references use
{path.to.token}syntax - 8 ordered prose sections: Overview, Colors, Typography, Layout, Elevation & Depth, Shapes, Components, Do's and Don'ts
- YAML token frontmatter (machine-authoritative): colors, typography, rounded, spacing, components — token references use
- Validates against the design-production doctrine: ≤2 brand colors active per screen, ≤2 font weights per screen, ≤10% accent coverage, no banned patterns (gradient text, side-stripe borders, hero-metric template, icon-tile-above-heading template, cardocalypse, glassmorphism).
- Writes to
marketing/brand/brand-kit.md(overwrites prior canonical; git history preserves prior versions).
Invoke
/brand-kit screenshots: [paths to product screenshots]
Or URL-fallback:
/brand-kit https://yourdomain.com — extract visual identity
Example output
See marketing/brand/brand-kit.md for the PulseAnalytics seed. Notice the YAML frontmatter is the source of truth; the prose body explains intent. Token references use {path.to.token} syntax — every component reference resolves to a defined token. Do's and Don'ts encode quantitative limits (≤2 font weights per screen, ≤10% accent coverage).
Dependencies
- Reads from: source visual content (screenshots or URL — provided as input)
- Reads via Exa MCP (optional): website if URL-fallback path is used
- Writes to:
marketing/brand/brand-kit.md(canonical) - Downstream readers:
/landing-page-wireframe,/landing-page-copy,/ad-creative-brief,/sales-deck,/linkedin-carousels, any visual-output skill
Customization
Add custom token categories if your brand requires them (e.g., motion tokens for animation timing, iconography tokens for icon style). The YAML frontmatter accepts arbitrary top-level keys; downstream skills consume whatever exists.
Update the Do's and Don'ts when you spot a recurring violation in produced artifacts — add a rule, downstream skills enforce it on next run.
Where this fits in the Example 1 chain
Week 1: /brand-kit (parallel with positioning + voice research) → visual identity locked
Week 2: /landing-page-wireframe + /landing-page-copy read brand kit + messaging
Week 3+: every visual-output skill reads brand kit
Refresh cadence
Quarterly. Trigger sooner on visual identity refresh, new product launch with distinct visual treatment, or major brand update.
Design production doctrine
See .claude/rules/design-production.md (in the Genesys workspace; not duplicated here) for the integration contract — how YAML tokens flow into CSS variables (web), Figma variables (design), and slide / image templates (non-web).
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most marketing audience skills give in 930 tokens
Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07
- Apply Poppins font to headingsin 41 of 690, across 6 files
- Apply Lora font to body textin 41 of 690, across 6 files
- Use Arial fallback for headingsin 39 of 690, across 4 files
- Use Georgia fallback for body textin 39 of 690, across 4 files
- Maintain text hierarchy and formattingin 39 of 690, across 4 files
- Use accent colors for non-text shapesin 38 of 690, across 3 files
- Use RGB values for precise color matchingin 38 of 690, across 3 files
- Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
- Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
- Use active voice instead of passive voicein 26 of 690, across 10 files
- Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
- Prioritize clarity over clevernessin 22 of 690, across 8 files
Said here and by no other author read
- use screenshots as primary input
- use website URL as fallback input
- compile output into DESIGN.md format
- generate YAML token frontmatter for colors, typography, rounded, spacing, and components
- generate eight ordered prose sections
- use bracket syntax for token references
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.