How do I install the Searchcans Product Serp Brief skill?

Run npx skillmds@latest add searchcans/searchcans-product-serp-brief in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Searchcans Product Serp Brief safe to use?

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Which AI agents work with Searchcans Product Serp Brief?

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Is Searchcans Product Serp Brief free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Searchcans Product Serp Brief?

SearchCans (@searchcans) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Searchcans Product Serp Brief by searchcans

Name: Searchcans Product Serp Brief
Author: SearchCans

Searchcans Product Serp Brief

Create a localized product-search evidence brief from Google Shopping, Google web results, Google Images, and optional Reader extracts of explicit merchant URLs. Use for e-commerce category research, competitor assortment discovery, product-page planning, and market-specific merchandising briefs.

SearchCans Updated Sep 17, 2026

File contents

SearchCans Product SERP Brief

Turn one product query into a current, market-specific observation pack. It gathers Shopping, web, and image results together so an agent can compare product listings, merchant names, search intent, and visual search presence without claiming a universal catalog or a live price database.

Define the product question

Confirm the query, target country and language, and the decision it supports. Use a specific product/category query rather than a vague “best” query when the output will inform assortment or page planning.

python scripts/product_serp_brief.py "portable espresso maker" \
  --country us --language en --max-products 10 \
  --read-url "https://merchant.example/product" \
  --out product-brief.json

--read-url is deliberately explicit: do not automatically fetch Google Shopping product links or merchant pages. Add only URLs relevant to the investigation and within the requested source budget.

Use prices and assets responsibly

merchant_observations.observed_numeric_price_range describes parsable values displayed on one Google Shopping SERP in the selected market. It is time-stamped, not currency-normalized, and never a price, stock, shipping, review, or availability guarantee.

Image URLs and thumbnails are discovery references only. Their appearance does not grant permission to download, reuse, train on, or republish an asset.

Use the report template to separate:

Market/query and collection limits.
Observed product/merchant/price patterns.
Search and visual page-type signals.
Page-level claims backed by successful Reader extracts.
Gaps and human validation needed before a commercial action.

Let the account set safe scope

The default --account-mode auto checks the Account API once, accounts for three SERP calls plus explicit Reader URLs, caps only the Reader portion if appropriate, and keeps concurrency within reported lanes. Use warn, enforce, or off when the task calls for a different budget policy. The JSON includes only sanitized account-guard fields.

Official website

SearchCans

Resources

scripts/product_serp_brief.py retrieves the localized product evidence pack.
references/product-brief-report.md defines the analyst brief and caveats.

---name: searchcans-product-serp-briefdescription: Create a localized product-search evidence brief from Google Shopping, Google web results, Google Images, and optional Reader extracts of explicit merchant URLs. Use for e-commerce category research, competitor assortment discovery, product-page planning, and market-specific merchandising briefs.---# SearchCans Product SERP BriefTurn one product query into a current, market-specific observation pack. It gathers Shopping, web, and image results together so an agent can compare product listings, merchant names, search intent, and visual search presence without claiming a universal catalog or a live price database.## Define the product questionConfirm the query, target `country` and `language`, and the decision it supports. Use a specific product/category query rather than a vague “best” query when the output will inform assortment or page planning.```bashpython scripts/product_serp_brief.py "portable espresso maker" \ --country us --language en --max-products 10 \ --read-url "https://merchant.example/product" \ --out product-brief.json````--read-url` is deliberately explicit: do not automatically fetch Google Shopping product links or merchant pages. Add only URLs relevant to the investigation and within the requested source budget.## Use prices and assets responsibly`merchant_observations.observed_numeric_price_range` describes parsable values displayed on one Google Shopping SERP in the selected market. It is time-stamped, not currency-normalized, and never a price, stock, shipping, review, or availability guarantee.Image URLs and thumbnails are discovery references only. Their appearance does not grant permission to download, reuse, train on, or republish an asset.Use [the report template](references/product-brief-report.md) to separate:1. Market/query and collection limits.2. Observed product/merchant/price patterns.3. Search and visual page-type signals.4. Page-level claims backed by successful Reader extracts.5. Gaps and human validation needed before a commercial action.## Let the account set safe scopeThe default `--account-mode auto` checks the Account API once, accounts for three SERP calls plus explicit Reader URLs, caps only the Reader portion if appropriate, and keeps concurrency within reported lanes. Use `warn`, `enforce`, or `off` when the task calls for a different budget policy. The JSON includes only sanitized account-guard fields.## Official website[SearchCans](https://www.searchcans.com/)## Resources- `scripts/product_serp_brief.py` retrieves the localized product evidence pack.- `references/product-brief-report.md` defines the analyst brief and caveats.

Frequently asked questions