Analyzing Products

Organization

SupercmoHQ

analyzing-products

Normalizes a product into generation-ready facts — from an e-commerce URL (a clean description plus curated product images) or from a photo alone (category, how it's used, its moving/opening parts, and key visual details). Use when a product URL or photo needs turning into inputs for image/video generation, or when another skill needs product facts before generating.

Overview

Publisher	SupercmoHQ
Repository	`superCMO-skills`
Skill name	`analyzing-products`
Stars	260
Forks	31
Bundled files	3
License	Apache-2.0
Links	Skill source Repository Homepage

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.
3 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 Products AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/SupercmoHQ/superCMO-skills/tree/main/skills/analyzing-products
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.

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-products .claude/skills/analyzing-products

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Analyzing Products 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 Products 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 Products 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.

Product Analysis

Turn a product — an e-commerce URL or a bare photo — into clean, reusable facts for downstream image/video generation: a tight description, curated product images, and how the product is physically used. It's a building block: other skills call it at the input stage, before any generation.

Workflow

Step 1: Pick the mode and run it

Input	Reference	What you produce
An e-commerce URL (Amazon, Shopify, AliExpress, any product page)	`references/url-extract.md`	A two-paragraph description + up to 5 downloaded, filtered product images
A product photo only (no URL, no description)	`references/photo-analysis.md`	Category + how it's used + moving/opening parts + key visual details

Read only the matching reference and follow it end to end. If both a URL and a photo are given, run the URL mode (richer) and keep the photo as one more reference image; if neither is given, there's nothing to analyze — ask for one. Don't pause for confirmation — a URL (or photo) plus generation intent means extract and proceed.

Step 2: Hand off

Return the result to whoever called you, ready to drop into generation:

URL mode → the description and the kept image files (local paths, usable as reference images).
Photo mode → the category, how it's used, any moving or opening parts, and the key visual details.

Don't rank the product's market position — the calling skill decides that from packaging cues. Your job is the objective facts.

Edge cases

The URL can't be extracted (no result, or the extractor isn't set up) → ask for a product photo instead and switch to photo mode.
Every image fails the filter (faces, wrong variant, not a product shot) → keep the single cleanest, or hand off the description alone and say plainly that no clean image survived.
A supplied photo is too unclear to read (blurry, cropped, ambiguous) → say what you can't determine and ask for a clearer shot rather than guessing the mechanic.
Neither a URL nor a photo → ask for one; there is nothing to analyze.

Reference

references/url-extract.md — the URL pipeline: url_extraction → download the images → filter them with image_analysis → write the description.
references/photo-analysis.md — the photo pipeline: category, how it's used, moving/opening parts, and the visual details to preserve.

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 Products AI skill do?

Why use Analyzing Products on TypingMind?

Because you install it once and use it with any model. Analyzing Products 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 Products in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SupercmoHQ/superCMO-skills/tree/main/skills/analyzing-products. 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 Products?

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 Products?

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

Is the Analyzing Products 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Product Analysis

Workflow

Step 1: Pick the mode and run it

Step 2: Hand off

Edge cases

Reference

Bundled files

Frequently asked questions

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