Analyzing Brand logo

Analyzing Brand

Organization
SupercmoHQ
analyzing-brand

Analyzes a brand from its own website — its colours and fonts, the logo and imagery it uses, how it sounds, who it sells to, the claims it makes, and what it sells. Reads the site and its pictures with a vision model, and marks anything the site doesn't evidence as unconfirmed rather than guessing. Facts only — nothing is generated, planned or judged here. Use when a brand's guidelines, palette, typography, voice, tone or positioning need establishing, or when another skill needs the brand before it plans or generates.

Overview

PublisherSupercmoHQ
RepositorysuperCMO-skills
Skill nameanalyzing-brand
Stars
260
Forks
31
Bundled files
2
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by SupercmoHQ on GitHub. Read the source before you install it.

Installation

Install the Analyzing Brand AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/SupercmoHQ/superCMO-skills/tree/main/skills/analyzing-brand
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/SupercmoHQ/superCMO-skills.git /tmp/superCMO-skills
mkdir -p .claude/skills
cp -r /tmp/superCMO-skills/skills/analyzing-brand .claude/skills/analyzing-brand
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Analyzing Brand in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Analyzing Brand on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Analyzing Brand is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Brand

Analyze what a brand is from its website. Not for analyzing a single product's facts — that is analyzing-products skill.

Workflow

Step 1: Check whether the brand is already known

Read brand.md in ./supercmo-company. Where it already holds this brand, hand it back and stop — re-researching bills again and tells the user nothing new. Carry on where it's missing, where it's a different brand, or where the user asked to re-analyze. A request for a detailed run of a brand already saved is a re-analysis too: run Step 3 again for a fresh screenshot (its link doesn't last), then Step 4 in detailed mode with the hero photos from brand.md's Assets, and patch only what they add.

Step 2: Check what you were given

What you haveWhat to do
A brand websiteCarry on.
A product page — Amazon, Shopify, a single listingWrong skill. Hand it to analyzing-products, and say which you used.
Nothing, or a URL that won't loadAsk for the website. A brand described from memory is invented, not read.
No mode named, by the caller or the briefRun quick mode. Don't ask: detailed mode runs only when the caller or the user asks for it.

When another skill runs this one (onboarding, a campaign plan), ask the user nothing: report a missing website or a site that couldn't be read back to that skill, and skip Step 6's hand-over — the calling skill gives the one reply.

Step 3: Read the site

Call url_extraction with the homepage as the url and no prompt or schema. It returns the page's own text in data.markdown, and beside it branding — the colours, fonts and logo the page actually renders — and screenshot, a picture of the page as a visitor first sees it. Read the brand's identity off the text yourself, as references/reading-the-brand.md lays out: the brand's name, what it sells, the logo, the tagline, how it writes, who it sells to, what sets it apart, and the proof it offers for it. metadata.title and metadata.description are the brand's own words too: use them where the text is thin. Keep branding and the screenshot for Step 4.

The read failed when the call returns ok: false, or when Step 4 finds the page is an error, login or bot-check page rather than the brand's own site — never just because there is little text. Then say the site couldn't be read, and handle it as Step 2's URL that won't load. Where the text is short or empty but the screenshot shows the brand's site, carry on: take the name from metadata.title, add "What does this screen show for sale?" to the screenshot's prompt, and don't ask the user.

Step 4: Look at the pictures

Both modes run this step; they differ only in how many photographs they read. What the pictures give you that the page's markup can't is the brand's photography style — the art direction other skills need to generate something that looks like it belongs to this brand — and a check on branding.

  • Quick mode reads Step 3's screenshot alone — one image_analysis call.
  • Detailed mode adds the hero photographs Step 3 found: one image_analysis call with the screenshot and up to 9 photographs as entries in requests, so they are read at once rather than one after another. Give every entry its own prompt — with requests, a prompt beside them is ignored. Each picture is read on its own and billed on its own; put the style together from what they have in common.

The screenshot's prompt asks, in this order:

  1. Is this an error, login or bot-check page rather than the brand's own site? Yes or no. A yes is a failed read (Step 3): stop, and use nothing from this call.
  2. The photography style, in about 120 words: what kind of shots these are (product-only, lifestyle, on-model), how they're lit, framed and set, who's cast and how they're styled, the colour grading and mood, and what recurs versus what's never in frame.
  3. The colours branding lists, given with their roles: which are the brand's own, and which belong to something embedded on the page, like a video player or a chat widget? A colour that doesn't show on this first screen still counts as the brand's — the page uses it further down. Where branding has none, or none are the brand's, the colours the page visibly uses, as hex codes. And what colour is the page's background?
  4. The main headline and the body text: is the headline set inside a picture, and how does each look?

A photograph's prompt asks only question 2.

Where there is no screenshot and no photograph, there is no photography style to record; say so.

Step 5: Write it down

Write brand.md into ./supercmo-company, from what Step 3 extracted and what Step 4 saw, in the order below. Create the folder where it doesn't exist. Where there is no evidence for a section, write unconfirmed — needs user input and move on — never invent a fact, a number, a colour or a claim.

SectionWhat goes in it
NameThe brand's own name (brand_name), spelled as the brand spells it.
What it sellsThe category the business is in and what a customer actually buys (what_it_sells), plus how it is sold.
SourceThe homepage this was read from, and the date it was read.
PaletteThe colours Step 4 kept as the brand's own, read as references/reading-the-brand.md says. Colours Step 4 read off the screenshot itself are marked as read from it. An achromatic brand is a real palette, not a missing one. Unconfirmed only where there are none.
TypographyThe heading and body faces from branding, read as references/reading-the-brand.md says, each with Step 4's description of how it looks beside it. Where the description plainly contradicts the name — a monospaced look for a face named as a sans, say — write what Step 4 saw and leave the name out. Type set inside a picture is art direction: it goes under Photography style. Where branding names no fonts, Step 4's descriptions. Unconfirmed only where neither has any.
TaglineThe line the brand leads with (tagline).
Target audienceWho the page says it sells to (target_audience), in the page's own terms — carried as it came back, never expanded beyond what the page evidenced.
VoiceHow the brand writes (voice_descriptor), then its own sentences (voice_examples), quoted exactly rather than tidied.
Key differentiatorsWhat the brand says sets it apart (key_differentiators).
ProofThe checkable claims the brand makes for itself (proof_points) — ratings, review and customer counts, named testimonials, awards, guarantees — each quoted exactly as the page wrote it, not paraphrased.
Photography styleWrite what Step 4 found — the shot type, lighting, composition, setting, casting, colour grading and mood, any type set inside banner images, and what recurs across the set versus what is never in frame.
AssetsThe logo (logo_url, or branding.logo where the page text gives none) and each hero photograph (hero_reference_urls) as links, with a line on what each shows. Keep the hosted URLs; don't download them. Where the brand sets its name as plain text rather than a mark, say so rather than leaving the logo silently absent.

New information goes into this one document — don't add another file.

Where brand.md already exists for this brand, patch the sections that changed rather than replacing the file, and leave every section you have no new evidence for untouched. Where it holds a different brand, replace it.

Where the site gave nothing usable at all — no palette, and no images — don't write the file. Say what was tried and what came back, and ask whether to supply the brand's assets, try another URL, or carry on without them.

Step 6: Hand it over

When another skill runs this one, skip this step: that skill gives the reply.

Give the path to brand.md.

In the reply, also give the palette, the typography, the voice, the tagline, the differentiators and the proof — not the whole file. Where a section stayed unconfirmed, say in one line what the site didn't show. Don't ask the user to fill it in: they can add it any time on the Brand page.

Edge cases

  • error: "no_provider_configured" on any tool → relay the tool's hint (the user must set their key).
  • A product page URL → analyzing-products. This skill reads brand websites.
  • The page extracts as an empty shell — a single-page app that renders no text to the reader → branding and the screenshot still read the rendered page, so take what they give, and say in brand.md that the page's text couldn't be read. Don't write an empty palette as if it were the brand's palette.
  • The saved brand is out of date, the user says → re-analyze, and say which parts changed.

Reference

  • references/reading-the-brand.md — what to read off the page text, how to read branding, and the traps.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Analyzing Brand AI skill do?

Analyzes a brand from its own website — its colours and fonts, the logo and imagery it uses, how it sounds, who it sells to, the claims it makes, and what it sells. Reads the site and its pictures with a vision model, and marks anything the site doesn't evidence as unconfirmed rather than guessing. Facts only — nothing is generated, planned or judged here. Use when a brand's guidelines, palette, typography, voice, tone or positioning need establishing, or when another skill needs the brand before it plans or generates.

Why use Analyzing Brand on TypingMind?

Because you install it once and use it with any model. Analyzing Brand is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Analyzing Brand in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SupercmoHQ/superCMO-skills/tree/main/skills/analyzing-brand. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Analyzing Brand?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Analyzing Brand?

As many as you like. As long as a model supports skills, you can use Analyzing Brand with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Analyzing Brand AI skill free?

Yes. It is published on GitHub by SupercmoHQ under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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