How do I install the Webshop Product Search skill?

Run npx skillmds@latest add majiayu000/webshop-product-search 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 Webshop Product Search safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Webshop Product Search?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Webshop Product Search free to use?

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

Who published Webshop Product Search?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Webshop Product Search by majiayu000

Name: Webshop Product Search
Rating: 4.2 (5 reviews)
Author: majiayu000

Webshop Product Search

This skill performs an initial product search using a web interface by generating appropriate search keywords based on interpreted query criteria. It is triggered when starting a product discovery task or when returning to search results. The skill inputs structured search parameters and outputs a list of candidate products from the search results page.

majiayu000 Updated Sep 9, 2026 567 repo stars

File contents

Skill: WebShop Product Search

Primary Function

Generate a targeted search query and execute it on a web shopping interface to retrieve a list of candidate products that match the user's criteria.

Core Workflow

Interpret Criteria: Analyze the user's instruction to identify key product attributes (e.g., "long clip-in hair extension", "natural looking", "price lower than 40.00 dollars").
Formulate Query: Construct a concise, effective search string that prioritizes the most critical attributes. The primary goal is to balance specificity with recall.
Execute Search: Use the search[keywords] action to submit the query.
Parse Results: The skill's success is marked by the system returning a "Page 1" observation containing a list of products (ASINs, titles, prices).

Key Decision Logic

Query Formulation: Start with a broad query containing the core product type. If the initial results are poor, the skill may be re-invoked with a more refined query (e.g., adding "synthetic" or "human hair" based on observed results).
Trigger Condition: This skill is the entry point for a new product discovery task. It is also the correct action when the observation contains "[SEP] Search" or "[SEP] Back to Search", indicating the agent is on a search page.
Output Handoff: The output of this skill is the search results page. Subsequent skills (e.g., product-evaluation) should be used to analyze individual items from this list.

Error Handling / Edge Cases

If no search action is available in the current state, this skill is not applicable.
If the observation does not contain a clear search interface prompt, do not use this skill.
The search keywords must be a single string enclosed in brackets after search[. Do not include multiple actions or extra formatting.

Example from Trajectory

Instruction: "i need a long clip-in hair extension which is natural looking, and price lower than 40.00 dollars" Skill Execution:

Criteria identified: product_type="clip-in hair extension", attribute="long", attribute="natural looking", budget="<40.00".
Query formulated: Prioritizes core product type and key attribute -> "long clip-in hair extension".
Action: search[long clip-in hair extension]

---name: webshop-product-searchdescription: This skill performs an initial product search using a web interface by generating appropriate search keywords based on interpreted query criteria. It is triggered when starting a product discovery task or when returning to search results. The skill inputs structured search parameters and outputs a list of candidate products from the search results page.---# Skill: WebShop Product Search ## Primary Function Generate a targeted search query and execute it on a web shopping interface to retrieve a list of candidate products that match the user's criteria. ## Core Workflow 1. **Interpret Criteria:** Analyze the user's instruction to identify key product attributes (e.g., "long clip-in hair extension", "natural looking", "price lower than 40.00 dollars"). 2. **Formulate Query:** Construct a concise, effective search string that prioritizes the most critical attributes. The primary goal is to balance specificity with recall. 3. **Execute Search:** Use the `search[keywords]` action to submit the query. 4. **Parse Results:** The skill's success is marked by the system returning a "Page 1" observation containing a list of products (ASINs, titles, prices). ## Key Decision Logic * **Query Formulation:** Start with a broad query containing the core product type. If the initial results are poor, the skill may be re-invoked with a more refined query (e.g., adding "synthetic" or "human hair" based on observed results). * **Trigger Condition:** This skill is the entry point for a new product discovery task. It is also the correct action when the observation contains "[SEP] Search" or "[SEP] Back to Search", indicating the agent is on a search page. * **Output Handoff:** The output of this skill is the search results page. Subsequent skills (e.g., `product-evaluation`) should be used to analyze individual items from this list. ## Error Handling / Edge Cases * If no search action is available in the current state, this skill is not applicable. * If the observation does not contain a clear search interface prompt, do not use this skill. * The search keywords must be a single string enclosed in brackets after `search[`. Do not include multiple actions or extra formatting. ## Example from Trajectory **Instruction:** "i need a long clip-in hair extension which is natural looking, and price lower than 40.00 dollars" **Skill Execution:** 1. Criteria identified: `product_type="clip-in hair extension"`, `attribute="long"`, `attribute="natural looking"`, `budget="<40.00"`. 2. Query formulated: Prioritizes core product type and key attribute -> `"long clip-in hair extension"`. 3. Action: `search[long clip-in hair extension]`

Frequently asked questions