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cn-ecommerce-search▌

shopmeskills/mcp · updated May 11, 2026

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$npx skills add https://github.com/shopmeskills/mcp --skill cn-ecommerce-search
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summary

Search and retrieve product information across Chinese e-commerce platforms via the Shopme unified product database.

skill.md

Chinese E-commerce Product Search

Search and retrieve product information across Chinese e-commerce platforms via the Shopme unified product database.

Zero-config — no API keys required.

When to Use

  • User asks to find a product on Taobao, Tmall, or 小红书
  • User shares a product link and wants details
  • User needs to search Chinese suppliers for a product
  • User asks about prices on Chinese platforms
  • User provides a product URL from Taobao, Tmall, or XHS
  • User wants to compare products across platforms

MCP Server Setup

{
  "mcpServers": {
    "cn-ecommerce-search": {
      "command": "npx",
      "args": ["-y", "@shopmeagent/cn-ecommerce-search-mcp"]
    }
  }
}

No environment variables required. Optional:

Variable Default Description
SHOPME_API_BASE https://api.shopmeagent.com Override API endpoint (e.g. http://localhost:8000 for local dev)

Available Tools

search_products

Search products by keyword across platforms.

Parameter Type Required Default Description
keyword string Yes — Search term (Chinese or English)
platform string No all Filter by platform: xhs, taobao, tmall
sort_by string No relevance relevance, price_asc, price_desc, sales_desc, created_at
page number No 1 Page number
limit number No 10 Items per page (max 50)

get_product_detail

Get detailed info about a specific product by ID or URL.

Parameter Type Required Description
product_id string One of two Product ID (recommended, faster)
url string One of two Product URL
platform string No Platform hint to speed up lookup

parse_product_link

Parse a product URL to identify the platform and product ID. Runs locally, no API call.

Parameter Type Required Description
url string Yes Product URL or text containing one

Supported Platforms

Platform Code Strengths Price Range Typical Buyer
淘宝 Taobao taobao Largest selection, consumer goods ¥ Low-Mid End consumers
天猫 Tmall tmall Brand flagship stores, higher quality ¥ Mid-High Quality-focused
小红书 XHS xhs Community picks, beauty/lifestyle ¥ Mid Young women, lifestyle

Supported URL Formats

  • item.taobao.com/item.htm?id=123456
  • detail.tmall.com/item.htm?id=123456
  • mall.xiaohongshu.com/goods-detail/xxx
  • Short links: e.tb.cn/xxx, m.tb.cn/xxx

Price Understanding Guide

  • All prices are in CNY (¥). Rough conversion: 1 USD ≈ 7.2 CNY
  • Always consider shipping costs when comparing prices

Search Tips

  1. Chinese keywords get more results
  2. English keywords are auto-expanded with synonyms and word variants
  3. Sort by sales_desc to find popular/trusted products (best on XHS)
  4. Use platform filter to narrow results to a specific platform
  5. Use get_product_detail with a URL directly — no need to parse first
how to use cn-ecommerce-search

How to use cn-ecommerce-search on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add cn-ecommerce-search
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/shopmeskills/mcp --skill cn-ecommerce-search

The skills CLI fetches cn-ecommerce-search from GitHub repository shopmeskills/mcp and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/cn-ecommerce-search

Reload or restart Cursor to activate cn-ecommerce-search. Access the skill through slash commands (e.g., /cn-ecommerce-search) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

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Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.6★★★★★73 reviews
  • ★★★★★Chaitanya Patil· Dec 28, 2024

    Useful defaults in cn-ecommerce-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Omar Okafor· Dec 24, 2024

    cn-ecommerce-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Hiroshi Mensah· Dec 12, 2024

    Registry listing for cn-ecommerce-search matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Kwame Singh· Dec 12, 2024

    Useful defaults in cn-ecommerce-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Mia Verma· Dec 8, 2024

    Keeps context tight: cn-ecommerce-search is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Henry Gill· Nov 27, 2024

    We added cn-ecommerce-search from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Piyush G· Nov 19, 2024

    cn-ecommerce-search has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Hana Flores· Nov 19, 2024

    cn-ecommerce-search reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Rahul Santra· Nov 15, 2024

    Registry listing for cn-ecommerce-search matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Omar Park· Nov 15, 2024

    cn-ecommerce-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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