电商商品页SEO增长诊断|简诗 AI

SKILL商业运营
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诊断商品页SEO、产品结构化数据、购物搜索竞争和定价表现,提升电商自然流量与商品曝光。

一句话选型结论

按资料字段整理

电商商品页SEO增长诊断|简诗 AI是商业运营类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类商业运营 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_fccf428b/seo-ecommerce
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

商业运营
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_fccf428b仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791682048
正文体量13.5 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
写运营方案

按目标产出活动方案与执行清单。

分析数据与指标

从报表里找问题、给结论。

整理客户与销售材料

把客户信息与话术整理成可直接用的材料。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在商业运营场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
电商商品页SEO增长诊断|简诗 AI当前 未标注权限 未标注 未标注 未标注 有
MX 股票筛选器 联网访问 ClawHub 市场 79.9 万 OpenClaw 有
交易 未标注权限 ClawHub 市场 58.1 万 OpenClaw 有
营销技巧 只读 ClawHub 市场 54.0 万 OpenClaw 有
百灵鸟好 联网访问 GitHub 仓库 52.6 万 Codex、Claude、Cursor 有
股票信息浏览器 接触敏感数据 ClawHub 市场 40.5 万 OpenClaw 有

SKILL.md 全文

13.5 KB
模型实际读到的说明书原文,来自技能仓库

E-commerce SEO Analysis

Comprehensive product page optimization, marketplace intelligence, and
competitive pricing analysis. Works standalone (on-page + schema) and with
DataForSEO Merchant API for live Google Shopping and Amazon data.

Commands

Command Purpose DataForSEO?
/seo ecommerce <url> Full e-commerce SEO analysis of a product page or store Optional
/seo ecommerce products <keyword> Google Shopping competitive analysis Required
/seo ecommerce gaps <domain> Keyword gap: organic vs Shopping visibility Required
/seo ecommerce schema <url> Product schema validation and enhancement No

1. Product Page Analysis (No DataForSEO Needed)

Fetch and parse any product page for on-page SEO quality.

Workflow

1. claude-seo run render_page.py <url> --mode auto → raw/rendered HTML
2. claude-seo run parse_html.py --url <url>   → SEO elements
3. Analyze product-specific signals (below)

Product SEO Checklist

Title Tag

  • [ ] Contains primary product keyword
  • [ ] Includes brand name
  • [ ] Under 60 characters (no truncation in SERPs)
  • [ ] Format: [Product Name] - [Key Feature] | [Brand]

Meta Description

  • [ ] Contains product keyword + benefit
  • [ ] Includes price or "from $XX" (triggers rich snippet interest)
  • [ ] Call-to-action present (Shop now, Buy, Free shipping)
  • [ ] Under 155 characters

Heading Structure

  • [ ] Single H1 matching primary product name
  • [ ] H2s for: Features, Specifications, Reviews, Related Products
  • [ ] No duplicate H1 tags across product variants

Product Images

  • [ ] Alt text includes product name + distinguishing feature
  • [ ] File names are descriptive (not IMG_001.jpg)
  • [ ] WebP format served (with JPEG fallback)
  • [ ] At least 3 images per product (hero, detail, lifestyle)
  • [ ] Image dimensions >= 800px for Google Shopping eligibility
  • [ ] Lazy loading on below-fold images only

Internal Linking

  • [ ] Breadcrumb navigation: Home > Category > Subcategory > Product
  • [ ] Related products section (cross-sell / upsell)
  • [ ] Link back to category page with keyword-rich anchor
  • [ ] Reviews section links to full review page (if separate)

Content Quality

  • [ ] Unique product description (not manufacturer copy-paste)
  • [ ] Word count >= 200 for product description body
  • [ ] Specs table present (not just prose)
  • [ ] User reviews on-page (UGC signals)

Scoring

Category Weight Criteria
Schema completeness 25% Required + recommended Product fields
Title & meta 15% Keyword placement, length, format
Image optimization 20% Alt text, format, sizing, count
Content quality 20% Unique description, specs, reviews
Internal linking 10% Breadcrumbs, related products, categories
Technical 10% Page speed, mobile rendering, canonical

2. Google Shopping Intelligence (DataForSEO Merchant API)

Live competitive analysis from Google Shopping results.

Cost Guardrail (MANDATORY)

Before EVERY Merchant API call:

claude-seo run dataforseo_costs.py check merchant_google_products_search
  • "status": "approved" -- proceed
  • "status": "needs_approval" -- show cost, ask user
  • "status": "blocked" -- stop, inform user

After each call:

claude-seo run dataforseo_costs.py log merchant_google_products_search <cost>

Workflow

# Product search: who sells what at what price
claude-seo run dataforseo_merchant.py search "<keyword>" --marketplace google

# Seller analysis: merchant ratings and dominance
claude-seo run dataforseo_merchant.py sellers "<keyword>"

# Normalize results for analysis
claude-seo run dataforseo_normalize.py results.json --module merchant

Analysis Outputs

Pricing Intelligence

  • Price distribution: min, max, median, P25, P75
  • Price outliers (> 2 standard deviations from median)
  • Price-to-rating correlation
  • Currency normalization to USD (or user-specified)

Seller Landscape

  • Top 10 sellers by listing count
  • Merchant rating distribution
  • Free shipping prevalence
  • New vs established sellers

Product Listing Quality

  • Title keyword patterns in top listings
  • Average rating and review count benchmarks
  • Image count per listing
  • Availability status distribution

Load references/marketplace-endpoints.md for full API parameter details.


3. Amazon Marketplace (DataForSEO)

Cross-marketplace intelligence comparing Google Shopping and Amazon.

Cost Guardrail (MANDATORY)

claude-seo run dataforseo_costs.py check merchant_amazon_products_search

Amazon endpoints are in the warn_endpoints set -- always requires user approval.

Workflow

# Amazon product search
claude-seo run dataforseo_merchant.py search "<keyword>" --marketplace amazon

# Cross-marketplace comparison
claude-seo run dataforseo_merchant.py compare "<keyword>"

Cross-Marketplace Report

Metric Google Shopping Amazon
Avg price $ $
Median rating X.X X.X
Avg review count N N
Top seller share % %
Free shipping % % %

4. Marketplace Keyword Gaps

Identify mismatches between organic and Shopping visibility.

Workflow

  1. Fetch organic rankings via seo-dataforseo:
    dataforseo_labs_google_ranked_keywords for domain
  2. Fetch Google Shopping presence via Merchant API:
    merchant_google_products_search for top organic keywords
  3. Cross-reference results

Gap Types

Gap Type Meaning Action
Organic Only Ranks organically but no Shopping ads Create Google Merchant Center feed, bid on these keywords
Shopping Only Shopping visibility but weak/no organic Create content (buying guides, comparison pages) for these keywords
Both Present Visible in both channels Optimize: ensure price consistency, enhance schema
Neither No visibility in either Low priority unless high volume

Output Format

## Keyword Gap Analysis: example.com

### Opportunities: Organic → Shopping (12 keywords)
| Keyword | Organic Pos | Volume | CPC | Recommended Action |
|---------|------------|--------|-----|-------------------|

### Opportunities: Shopping → Organic (8 keywords)
| Keyword | Shopping Rank | Volume | CPC | Content Type Needed |
|---------|-------------|--------|-----|-------------------|

5. Product Schema Enhancement

Validate and generate Product schema following Google's current requirements.

Confirmed Required Properties (Google Merchant)

Confirmed required fields are name, image, and offers; use Offer, not AggregateOffer, for merchant listings.

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "",
  "image": [""],
  "offers": {
    "@type": "Offer",
    "url": "",
    "priceCurrency": "USD",
    "price": "0.00",
    "availability": "https://schema.org/InStock"
  }
}

Recommended Properties (Enhance Rich Results)

  • sku -- product identifier
  • description, brand, offers.seller -- recommended context fields
  • gtin13 / gtin14 / mpn -- global trade identifiers
  • aggregateRating -- star rating + review count
  • review -- individual reviews (minimum 1)
  • color, material, size -- variant attributes
  • shippingDetails -- ShippingDetails with rate and delivery time (merchant-level shipping via ShippingService is also supported; shipping/returns can be set in Search Console without a Merchant Center account)
  • hasMerchantReturnPolicy -- MerchantReturnPolicy with type and days
  • hasAdultConsideration -- required for adult-oriented products (added 2026-05-20 to Product variant / Merchant listing); Google Search supports only the value https://schema.org/SexualContentConsideration

Validation Rules

  1. price must be a number string, not "$29.99" (no currency symbol)
  2. availability must use full Schema.org URL enum
  3. image should be array with >= 1 high-res image URL
  4. priceCurrency must be ISO 4217 (USD, EUR, GBP)
  5. If brand is present, brand.name must not be empty or "N/A"
  6. Dates in priceValidUntil must be ISO 8601
  7. If aggregateRating present: ratingValue and reviewCount required

Schema Scoring

Completeness Score
All required fields 50/100
+ aggregateRating 65/100
+ sku/gtin/mpn 75/100
+ shippingDetails 85/100
+ merchantReturnPolicy 90/100
+ reviews (3+) 100/100

Cross-Skill Integration

Skill Integration Point
seo-schema Delegates Product schema generation; reuses validation logic
seo-images Product image audit (alt text, format, dimensions), plus DigitalSourceType: TrainedAlgorithmicMedia IPTC label for AI-generated product images (Merchant Center requirement)
seo-content Product description E-E-A-T and uniqueness analysis
seo-dataforseo Organic keyword rankings for gap analysis
seo-technical Core Web Vitals for product pages (LCP on hero image)
seo-google GSC indexation + Performance data for product URLs (NOT Merchant Center feed validation, that is done in Merchant Center / the Merchant API; the legacy Content API for Shopping sunsets 2026-08-18)

UCP: Universal Commerce Protocol (live)

Google-initiated open standard (co-developed with Shopify, Etsy, Wayfair,
Target, Walmart; payment partners Visa/Mastercard/Stripe/Adyen/Amex) for
letting AI agents discover, negotiate, and transact with merchants without
one-off integrations. Google confirms a first reference implementation for
conversational buying in AI Mode in Search. Broader Universal Cart rollout
details are reported from Google I/O 2026 keynote coverage; not confirmed on a
Google-owned source. ucp.dev lists 2026-04-08 as the latest release in its
date-based versioning scheme, not 1.0; two integration paths: Native
(default) and Embedded (approved merchants). Pairs with AP2 (reportedly
moving toward FIDO governance). Canonical: developers.google.com/merchant/ucp
and ucp.dev.

Merchants already on Google Merchant Center with clean Product schema can
declare a UCP profile at /.well-known/ucp listing capabilities
(dev.ucp.shopping.checkout, .fulfillment, .discount). See
references/ucp-universal-commerce-protocol.md for audit criteria,
capability examples, and the relationship to AP2 (Agent Payments Protocol).

Audit command

# Discover and validate the UCP profile
claude-seo run ucp_check.py https://store.example.com --json

# With endpoint reachability probes (HEAD each declared capability)
claude-seo run ucp_check.py https://store.example.com --probe-endpoints --json

The script returns: profile presence, version, declared capabilities,
structural issues (missing fields, unknown capability IDs), and (with
--probe-endpoints) per-endpoint reachability. SSRF-blocked endpoints are
reported explicitly. Missing profile is reported as opportunity, not failure.
UCP itself is live; what's early is broad merchant adoption. Flag a literal
"version": "1.0" as invalid (UCP versions are date-based, e.g. 2026-04-08).


Error Handling

Error Cause Response
No Product schema found Page lacks JSON-LD Analyze page content, generate recommended schema
DataForSEO credentials missing Env vars not set Run analysis without marketplace data, note limitation
Cost check blocked Daily budget exceeded Inform user, offer free-only analysis
Empty Shopping results No products for keyword Suggest broader keyword, check location settings
Amazon API timeout Network/rate limit Retry with backoff, fall back to Google-only
Invalid URL Malformed input Validate via google_auth.validate_url(), show error
Non-product page URL is category/homepage Detect page type, suggest /seo ecommerce schema instead

Output Template

## E-commerce SEO Report: [URL or Keyword]

### Overall Score: XX/100

### Product Page SEO
- Schema Completeness: XX/100
- Title & Meta: XX/100
- Image Optimization: XX/100
- Content Quality: XX/100
- Internal Linking: XX/100

### Marketplace Intelligence (if DataForSEO available)
- Google Shopping Listings: N products found
- Price Range: $XX - $XX (median: $XX)
- Top Seller: [name] (XX% market share)
- Amazon Comparison: [available/not checked]

### Top Recommendations
1. [Critical] ...
2. [High] ...
3. [Medium] ...

Generate a PDF report? Use `/seo google report`

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  • 凭据只用于用户指定的对应官方服务,不回显、不记录,也不转发到无关地址。
  • 命令和代码默认作为参考;只有用户明确要求执行且目标范围清楚时才可运行。

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常见问题

5 问
答案由本站依据条目字段整理
电商商品页SEO增长诊断|简诗 AI怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_fccf428b/seo-ecommerce。安装方式为未标注。装完刷新技能列表或重开客户端。

电商商品页SEO增长诊断|简诗 AI支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

电商商品页SEO增长诊断|简诗 AI权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

电商商品页SEO增长诊断|简诗 AI收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

电商商品页SEO增长诊断|简诗 AI用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。