Analyzing Products

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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: SupercmoHQ
• Source: SupercmoHQ/superCMO-skills
• License: Apache-2.0
• Homepage: https://getsupercmo.ai

Install and usage instructions live in the source repository linked above.