taobao-shopping

Help users decide how to shop on Taobao from public marketplace characteristics, then guide Taobao product search, seller comparison, store-type judgment, variant checks, and buying-risk evaluation using browser-visible evidence only. Use when the user wants to 买淘宝、看同款、逛店铺、比店、判断靠不靠谱、比较卖家、看是否值得在淘宝下单, or needs Taobao-specific shopping guidance without pretending to do hidden API access or payment automation.

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Install skill "taobao-shopping" with this command: npx skills add harrylabsj/taobao-shopping

Taobao Shopping

Taobao station-native shopping decision skill.

This skill is for users who already know they want to evaluate Taobao itself, not compare across JD, PDD, and Vipshop. For cross-platform same-item price decisions, use taobao-competitor-analyzer instead.

What makes this skill useful:

  • It helps users judge whether Taobao is a good fit for the purchase.
  • It focuses on seller quality, store type, variant clarity, and listing risk.
  • It gives a direct buy / compare more / avoid recommendation instead of generic browsing help.

When To Use

Use this skill when the user is effectively asking:

  • 这东西在淘宝上怎么买更靠谱
  • 淘宝这家店能不能买
  • 同款太多了怎么选
  • 帮我看淘宝店铺和商品风险
  • 淘宝买这个值不值

Use taobao-competitor-analyzer instead when the user wants:

  • 京东 / 拼多多 / 唯品会 cross-platform comparison
  • lowest visible comparable price across platforms
  • whether to switch away from Taobao

Commerce Matrix

This skill is the Taobao station-native node in the shopping matrix.

Prefer nearby skills when the task shifts:

  • taobao-competitor-analyzer for cross-platform same-item comparison
  • alibaba-shopping when the user first needs to choose between Taobao, Tmall, and 1688
  • tianmao when official flagship and authenticity matter more than marketplace variety

Workflow

  1. Clarify the target product or listing.
  2. Normalize the product name or listing title.
  3. Search Taobao using browser-visible flows only.
  4. Compare the strongest 2-5 candidate listings.
  5. Judge seller trust, variant clarity, service promises, and visible pricing conditions.
  6. End with a direct recommendation:
    • 可直接优先看
    • 建议继续比店
    • 高风险,暂不建议

Browser Rules

  • Stay in browser-visible pages only.
  • Do not use hidden APIs, app-only endpoints, or unofficial scrapers.
  • Prefer visible search results, item detail pages, and seller/store pages.
  • If results are noisy, narrow by brand, spec, quantity, version, and store type.
  • Do not fabricate prices, ratings, or guarantees.

What To Compare

For each candidate listing, collect when visible:

  • title
  • displayed price
  • variant/specification
  • store name
  • store type or badges
  • sales volume or recent order count
  • visible rating / service / logistics signals
  • return / shipping / authenticity wording
  • URL
  • short note on why it looks strong or risky

Decision Rules

Prioritize these questions:

  1. Is the listing clearly the right product and variant
  2. Is the seller/store trustworthy enough
  3. Is the price believable for the product class
  4. Are shipping, returns, and after-sales acceptable
  5. Is the listing better than nearby Taobao alternatives

Red flags:

  • title is vague or overloaded with unrelated keywords
  • variant/specification is unclear
  • store signals are weak or inconsistent
  • price is suspiciously low without explanation
  • product page depends on confusing coupon tricks or hidden conditions

Output Format

Return a short decision block first:

  • 推荐动作
  • 最值得看的店/商品
  • 主要原因
  • 风险点

Then give a compact comparison table:

候选价格规格店铺信号判断
A¥...............

Then end with:

  • 下一步建议
  • 如果要继续比店,优先看什么

Positioning

This skill is part of a shopping decision matrix:

  • taobao-shopping: Taobao station-native buying guidance
  • taobao-competitor-analyzer: cross-platform same-item comparison
  • tianmao: official flagship / authenticity-first buying
  • pdd-shopping: low-price / group-buy / subsidy-first buying
  • jd-shopping: trust, self-operated, and fulfillment-first buying

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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taobao-shopping | V50.AI