Extract brand identity from a website URL — voice, colors, typography, imagery, values, and target audience — into a structured brand-profile.json.

MITAuto-check passedMedia & Creative

Install Brand Dna

skills CLI
$ npx skills add thatrebeccarae/claude-marketing --skill brand-dna -a claude-code

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

GitHub CLI
$ gh skill install thatrebeccarae/claude-marketing brand-dna --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/thatrebeccarae/claude-marketing.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/brand-dna .claude/skills/brand-dna && 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
brand-dna
GitHub stars
161
Token cost
~1.8k tokens
SKILL.md length
699 words
Files
4
Skills in repo
55
Repo updated
First seen
Licence
MIT

At a glance

Extract brand identity from a website URL — voice, colors, typography, imagery, values, and target audience — into a structured brand-profile.json.

  • Works in 5 steps: Collect URL → Fetch Pages → Extract Brand Elements → …
  • The user says brand DNA
  • SKILL.md covers Install, Quick Reference, Zero Dependencies and Extraction Process, plus 2 more sections
  • Calls git; reaches fonts.googleapis.com

What it does

Brand Dna is an agent skill from thatrebeccarae/claude-marketing. Extract brand identity from a website URL — voice, colors, typography, imagery, values, and target audience — into a structured brand-profile.json. The profile feeds downstream skills (seo-content-writer, email-composer, frontend-design, pro-deck-builder, cross-platform-audit) for brand-consistent output. Use when the user says brand DNA, brand profile, extract brand, analyze brand, brand voice, brand identity, brand colors, or brand style guide.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `EXAMPLES.md` and `REFERENCE.md`).

It sits in Media & Creative, covering Logo and visual identity, Brand strategy and identity and Typography. The repository describes itself as: A full marketing department for Claude Code. Skill packs for Klaviyo, Shopify, GA4, Looker Studio, paid media, and more. Audit, optimize, and report using natural language. The licence is MIT.

When your agent uses it

  • The user says brand DNA
  • Brand style guide

Example prompts

  • “/brand-dna”

Requirements

  • Python 3

Workflow steps

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

  1. Collect URL
  2. Fetch Pages
  3. Extract Brand Elements
  4. Build brand-profile.json
  5. Write and Confirm

What it can do on your machine

Read from SKILL.md and the folder at commit a8a63ec. 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

    Shell commands in SKILL.md call:

    • git

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • fonts.googleapis.com

    Also links to:

    • competitor.com

    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

Brand Dna loads about 1.8k tokens when it runs. Until then it costs about 115 tokens; SKILL.md has 699 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~115
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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 thatrebeccarae/claude-marketing at commit a8a63ec, republished under its MIT licence (© thatrebeccarae). 699 words, ~1,765 tokens.

Download SKILL.mdSave it as .claude/skills/brand-dna/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
brand-dna
description
Extract brand identity from a website URL — voice, colors, typography, imagery, values, and target audience — into a structured brand-profile.json. The profile feeds downstream skills (seo-content-writer, email-composer, frontend-design, pro-deck-builder, cross-platform-audit) for brand-consistent output. Use when the user says brand DNA, brand profile, extract brand, analyze brand, brand voice, brand identity, brand colors, or brand style guide.
license
MIT
origin
custom
author
Rebecca Rae Barton
author_url
https://github.com/thatrebeccarae
metadata.version
1.0.0
metadata.category
strategy
metadata.domain
brand-identity
metadata.updated
2026-03-16
metadata.tested
2026-03-17
metadata.tested_with
Claude Code v2.1

Brand DNA — Brand Identity Extractor

Extracts brand identity from a website and produces a structured brand-profile.json that other skills can consume for brand-consistent output.

Install

bash
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/brand-dna ~/.claude/skills/

Quick Reference

CommandWhat It Does
"Extract brand DNA from https://example.com"Full extraction → brand-profile.json
"Quick brand profile for https://example.com"Homepage-only extraction (faster, lower confidence)

Zero Dependencies

This skill uses only the WebFetch tool — no Python scripts, no Playwright, no external APIs. It works anywhere Claude Code runs.

Extraction Process

Step 1: Collect URL

If the user hasn't provided a URL, ask:

"What website URL should I analyze? (e.g., https://yoursite.com)"

Step 2: Fetch Pages

Use the WebFetch tool to retrieve page content. For each URL, request:

  • All visible text content
  • Full contents of <style> blocks
  • Inline style= attributes
  • <meta> tags (especially og:image, description)
  • Google Fonts @import URLs
  • Any <link> tags referencing external stylesheets

Fetch order:

  1. Homepage (<url>)
  2. About page — try <url>/about, then /about-us, then /our-story
  3. Product/Services page — try <url>/products, then /product, then /services

Quick mode: If the user requests a quick extraction, fetch homepage only — skip pages 2 and 3.

If a secondary page returns 404 or redirects to homepage, continue with fewer pages and note reduced confidence.

Step 3: Extract Brand Elements
Colors
  • Primary color: Most prominent brand color from CSS background-color on .hero, .btn-primary, header, or og:image dominant color
  • Secondary colors: Supporting palette from CTAs, accents, borders
  • Background/text: body background-color and color
  • Forbidden: Infer from brand positioning (e.g., competitor colors if identifiable)
  • Dark mode detection: If body background is #333 or darker, swap background/text values

CSS targets: background-color, color, border-color on body, header, .hero, .btn, .cta, h1, h2

Typography
  • Google Fonts: Extract from @import url(https://fonts.googleapis.com/css2?family=...) — parse font name from URL
  • CSS font-family: Check h1, h2, body, .headline declarations
  • Fallback: If no Google Fonts detected, set heading_font to null and body_font to "system-ui"
Voice (1-10 scale per axis)

Analyze hero headline, subheadline, about page intro, and CTA button text:

SignalAxisDirection
Uses "you/your" frequentlyformal_casual+2 toward casual
Technical jargon, industry termsexpert_accessible-2 toward expert
Short punchy sentences (≤8 words)bold_subtle+2 toward bold
Data, stats, percentages in herorational_emotional-2 toward rational
"Transform", "revolutionize", "disrupt"traditional_innovative+2 toward innovative
Customer testimonials leadrational_emotional+2 toward emotional
"Trusted by X companies", awardstraditional_innovative-1 toward traditional
Humor, wordplay, casual phrasingplayful_serious+2 toward playful
Formal language, third personplayful_serious-2 toward serious

Start each axis at 5 (neutral) and adjust based on signals found.

Descriptors: Choose 3-5 adjectives that capture the overall voice tone. These should complement the numerical scores, not repeat them.

Show full SKILL.md (276 more words)Show less
Imagery
  • Style: Professional photography, illustration, flat design, 3D renders, or mixed
  • Subjects: What appears in hero images and product shots (people, products, abstract, data)
  • Composition: Clean/minimal, busy/editorial, dark/dramatic, light/airy
  • Forbidden elements: Infer from industry (healthcare → no unqualified medical claims imagery; B2B → no cheesy stock photos)
Aesthetic
  • Mood keywords: 3 adjectives describing the visual mood (e.g., "trustworthy", "modern", "premium")
  • Texture: minimal, textured, or mixed
  • Negative space: generous, moderate, or dense
Brand Values

Extract from about page, mission statement, or footer. Look for repeated themes. Choose 3-5 core values.

Target Audience

Infer from copy, pricing signals, and positioning:

  • Age range: Estimate from visual design, language complexity, and product type
  • Profession: Who the product/service is for
  • Pain points: What problems the brand addresses (from hero copy and feature descriptions)
  • Aspirations: What the audience wants to achieve (from benefit-oriented copy)
Step 4: Build brand-profile.json

Construct the JSON following the schema in REFERENCE.md precisely. Use null for any field that cannot be confidently extracted — never guess.

Step 5: Write and Confirm

Write brand-profile.json to the current working directory.

Display a summary:

Brand DNA extracted → brand-profile.json

  Brand: [brand_name]
  Voice: [descriptor 1], [descriptor 2], [descriptor 3]
  Primary Color: [hex]
  Typography: [heading_font] / [body_font]
  Audience: [age_range], [profession]

This profile can be consumed by:
  - seo-content-writer (voice matching)
  - email-composer (tone calibration)
  - frontend-design (visual identity)
  - pro-deck-builder (brand colors/fonts)
  - cross-platform-audit (brand consistency checks)

Limitations

  • Sparse sites: <200 words of body text produce lower-confidence profiles. Note this in output.
  • SPA/React sites: JavaScript-rendered content may not be fully captured by WebFetch. Note this if detected.
  • Multi-brand enterprises: Creates one profile per URL. Run separately for each brand.
  • CSS-in-JS: Modern React/Next.js sites may not have extractable CSS. Use og:image analysis as fallback.

How to Use This Skill

Ask questions like:

© thatrebeccarae, 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 3 other files in skills/brand-dna of thatrebeccarae/claude-marketing.

  • SKILL.md
  • EXAMPLES.md
  • LICENSE
  • REFERENCE.md

Open the folder on GitHubat commit a8a63ec

Compare with similar skills

Brand Dna 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.

Brand Dna compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Brand Dna this skillthatrebeccarae/claude-marketing161—~1.8kAutomated safety check: PassMIT
Brand Designermagnus919/hermes-profiles289—~2.3kAutomated safety check: PassMIT
Brand Guidelinesalirezarezvani/claude-skills28k1 repos~1.3kAutomated safety check: PassMIT
Brand Guidelinesnexu-io/open-design100k—~346Automated safety check: PassApache-2.0
Anthropic Brand Stylinganthropics/skills180k30 repos~559Automated safety check: PassApache-2.0
Brand Guidelinescomposio-community/awesome-codex-skills17k—~617Automated safety check: PassApache-2.0

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Questions about Brand Dna

What does Brand Dna do?

Extract brand identity from a website URL — voice, colors, typography, imagery, values, and target audience — into a structured brand-profile.json. Brand Dna is an agent skill from thatrebeccarae/claude-marketing.json.

When should I use Brand Dna?

Brand Dna fits situations like: the user says brand DNA; brand style guide.

How do I install Brand Dna in Claude Code?

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

How do I install Brand Dna in Codex?

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

Can I use Brand Dna 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 thatrebeccarae/claude-marketing --skill brand-dna -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/brand-dna, .gemini/skills/brand-dna, .github/skills/brand-dna and .opencode/skills/brand-dna in your project.

What does Brand Dna need to run?

Going by SKILL.md and its folder, Brand Dna needs the command-line tools its instructions call (git). Our summary lists: Python 3.

Does Brand Dna access the network?

SKILL.md names 2 domains. In commands or code: fonts.googleapis.com; the agent is likely to contact it when it follows the instructions. As links in the text: competitor.com. This is read from the text; nothing was executed.

Is Brand Dna 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 Brand Dna use?

Brand Dna is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Brand Dna use?

About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Brand Dna?

Skills that share tags, products or a category with Brand Dna: Brand Designer (magnus919/hermes-profiles, 289 stars), Brand Guidelines (alirezarezvani/claude-skills, 28k stars), Brand Guidelines (nexu-io/open-design, 100k stars) and Anthropic Brand Styling (anthropics/skills, 180k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Brand Dna?

thatrebeccarae (a GitHub user) maintains it in thatrebeccarae/claude-marketing, which has 161 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on May 14, 2026.

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