taobao-competitor-analyzer

by harrylabsj

Install this Skill

curl -fsSL -o taobao-competitor-analyzer.zip https://skill.seembox.com/api/v1/skills/taobao-competitor-analyzer/download && unzip taobao-competitor-analyzer.zip

Download taobao-competitor-analyzer.zip

SKILL.md About

---
name: taobao-competitor-analyzer
description: Compare a Taobao product with JD.com, Pinduoduo, and Vipshop using browser-visible evidence only, then tell the user where it is actually worth buying. Use when the user wants to 查淘宝同款、比价、看竞品、分析值不值得买、判断哪个平台更划算、比较京东拼多多唯品会价格、找最低可见可比价、识别近似款风险, or get a cross-platform price check, buying recommendation, seller-risk comparison, or marketplace research report without using APIs.
---

# Taobao Competitor Analyzer

Compare a Taobao product with the same or closest-matching listings on 京东、拼多多、唯品会 using the browser tool only. Work from a product name, collect visible listing information, and return a compact comparison with price evidence, match quality, buying recommendation, and risk notes.

What makes this skill useful:
- It compares comparable items instead of chasing misleading low prices.
- It explains whether a lower price depends on coupons, membership, subsidy, or group-buy.
- It ends with a clear buy / wait / avoid recommendation instead of just a table.

## When To Use

Use this skill when the user is effectively asking:
- 这件淘宝商品别的平台多少钱
- 有没有同款或更划算的平台
- 京东 / 拼多多 / 唯品会 哪个更值得买
- 这几个平台价格差这么多正常吗
- 帮我做一个同款比价和购买建议

The skill should optimize for purchase decisions, not raw data collection.

## Commerce Matrix

This skill is the cross-platform comparison node in the shopping matrix.

Prefer nearby skills when the task is narrower:
- `taobao-shopping` for Taobao-only listing and seller evaluation
- `jd-shopping` for trust-first self-operated buying
- `pdd-shopping` for low-price and subsidy-first buying
- `tianmao` for flagship-store and authenticity-first buying
- `vip` for branded discount and flash-sale buying
- `alibaba-shopping` when the user first needs to choose between Taobao, Tmall, and 1688

## Workflow

1. Normalize the input product name.
2. If the input is only a Taobao-style long title, compress it into the smallest searchable core:
   - brand
   - model / series
   - size / spec / count
   - key variant
3. Search the exact or lightly simplified keyword on:
   - 京东
   - 拼多多
   - 唯品会
4. Stay in browser-driven flows only. Do not call site APIs, hidden JSON endpoints, app-only interfaces, or unofficial scrapers.
5. Extract the top relevant visible results from each site.
6. Prefer listings that match the same brand, model, spec, size, quantity, and packaging.
7. Score comparability first, then judge price.
8. End with a concrete recommendation: buy on which platform, wait, or avoid for now.

## Input Rules

Require a product name as input.

Prefer one of these inputs:
- precise product name
- Taobao listing title
- brand + model + spec
- product name plus intended use, if there are multiple variants

If the product name is too broad, ask one short follow-up to narrow it, for example:
- brand
- model
- size/specification
- package count
- flavor/color/version

Good inputs:
- `Apple AirPods Pro 2`
- `维达抽纸 3层 100抽 24包`
- `耐克 Air Zoom Pegasus 41 男款`

Weak inputs that need clarification:
- `纸巾`
- `耳机`
- `运动鞋`

If the user pastes a very long Taobao title, do not ask them to rewrite it unless it is truly ambiguous. You should clean and normalize it yourself first.

## Browser Execution Rules

- Prefer the isolated OpenClaw browser unless the user explicitly asks to use their Chrome tab.
- Start with one tab per site when practical.
- Re-snapshot after navigation or major DOM changes.
- If a site shows login walls, anti-bot interstitials, region prompts, or app-download overlays, use the visible web result if possible and mention the limitation.
- If a site blocks access completely, report it instead of trying to bypass it.
- Do not fabricate missing prices.
- Prefer visible search/listing pages over deep product pages when one platform is unstable.
- Capture enough evidence to justify the recommendation, not just enough to fill a table.

## Search Targets

Use the standard web search pages when possible:

- 京东: search for the product name on jd.com
- 拼多多: search for the product name on pinduoduo.com or the visible web listing/search experience available in browser
- 唯品会: search for the product name on vip.com

If direct site search is unstable in browser, use a public search engine query constrained to the site, then open the most relevant visible result. Example pattern:
- `site:jd.com 商品名`
- `site:pinduoduo.com 商品名`
- `site:vip.com 商品名`

Still use browser navigation for the actual evidence collection.

## Matching Rules

Treat listings as comparable only when the core attributes align.

Check, in order:
1. Brand
2. Product line / model
3. Variant
4. Size / weight / count
5. Seller type if obvious (official flagship, self-operated, marketplace seller)

If there is no close match on a platform:
- say `未找到足够接近的同款`
- optionally include the nearest visible alternative, clearly labeled as `近似款`

## Decision Rules

Use this order of judgment:

1. Is it the same item or only a near match
2. Is the visible price directly comparable
3. Is the seller/store trust level similar
4. Are coupon, membership, subsidy, or group-buy conditions required
5. Are shipping speed and after-sales meaningfully different

Never recommend a cheaper platform when the cheaper listing is only cheaper because of:
- lower specification
- different quantity or packaging
- unclear seller trust
- member-only or coupon-after price not available to most users
- group-buy requirement the user may not want

## What To Capture Per Site

Capture only information visible on the page. Prefer the first 1-3 relevant results.

For each selected listing, collect when visible:
- platform
- title
- displayed price
- promo/discount wording
- package/specification
- store/seller name
- delivery or shipping note
- URL
- confidence: high / medium / low
- note about why it matches or why it is only approximate

Also capture, when visible and relevant:
- official/self-operated/flagship indicator
- coupon or subsidy dependency
- group-buy requirement
- delivery speed or shipping promise
- return or authenticity guarantee

## Output Format

Return a decision first, then the evidence table.

Start with a short verdict block:

- `推荐平台`
- `最低可见可比价`
- `值不值得换平台`
- `主要原因`
- `风险点`

Then return a concise comparison table and short notes.

Use a table like this:

| 平台 | 商品标题 | 价格 | 规格/版本 | 店铺 | 匹配度 | 备注 |
|---|---|---:|---|---|---|---|
| 京东 | ... | ¥... | ... | ... | 高 | 同品牌同规格 |
| 拼多多 | ... | ¥... | ... | ... | 中 | 规格接近，包装不同 |
| 唯品会 | ... | ¥... | ... | ... | 低 | 仅找到近似款 |

Then add:
- `最低可见价` and platform
- `可比性判断`: high / medium / low
- `风险提示`: differences in package, seller, promo timing, membership price, shipping, or coupon requirements
- `购买建议`: 直接买 / 可等等 / 只建议在某平台买 / 暂不建议下单

## Interpretation Rules

- Do not claim a platform is cheaper unless the compared items are materially comparable.
- Separate `标价` from coupon-after price when the page makes that distinction.
- Mention when a price may depend on membership, flash sale, subsidy, or region.
- If search results are noisy, prefer accuracy over completeness.
- If Taobao is not actually the best option, say so directly.
- If none of the results are truly comparable, explicitly say `当前不适合做强结论`.
- If the user seems purchase-ready, optimize the answer for actionability: where to buy, what to verify before paying, and what tradeoff they are accepting.

## Example Requests

- `帮我查一下“德芙黑巧克力 84g”在京东、拼多多、唯品会的价格`
- `对比一下“iPhone 16 Pro 256GB”在几个平台上的可见报价`
- `把这个淘宝商品名拿去京东、拼多多、唯品会搜同款，做个价格表`
- `这个淘宝商品有没有更便宜但靠谱的平台`
- `帮我判断这件商品有没有必要从淘宝换到京东买`
- `别只比价，也告诉我哪个平台更值得下单`

## Failure Handling

If one or more sites cannot be accessed or searched reliably, still return a partial result and list:
- which site failed
- what was attempted
- whether the failure was due to login wall, anti-bot page, timeout, or missing web search results

If the evidence is partial, downgrade the recommendation strength:
- `强推荐`
- `弱推荐`
- `仅供参考`
- `无法判断`

## Resource

- Read `references/site-notes.md` when you need execution reminders for JD, Pinduoduo, and Vipshop search behavior and evidence standards.

_meta.json Metadata

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