linkfox-ai/linkfox-skills5 files

Linkfox Sif Asin Summary

使用SIF(搜索情报框架)数据分析ASIN的流量来源构成与曝光分布,覆盖本期/上期/新进/退出周期对比。当用户提到ASIN流量来源、流量结构分析、自然流量与付费流量占比、曝光得分拆解、周期对比、新进/退出流量词、竞品流量分析、SP广告关键词数量、品牌广告曝光、Amazon's Choice曝光、编辑推荐曝光、Top Rated曝光、视频广告曝光、自然搜索曝光比例、PPC流量来源、促销秒杀流量来源、推荐位结构拆解、ASIN traffic analysis, traffic sources, organic traffic share, ad traffic share, exposure analysis, traffic structure, period-over-period comparison, keyword churn, SIF时触发此技能。即使用户未明确提及"SIF",只要其需求涉及分析ASIN的流量来源、曝光渠道分布、跨周期对比或竞品流量结构对比,也应触发此技能。

Specification
Skill ID
linkfox-ai/linkfox-skills/linkfox-sif-asin-summary
Publisher
linkfox-ai
Repository
linkfox-skills
Installs
0
Files
5
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

linkfox-ai/linkfox-skills/linkfox-sif-asin-summaryInstalls these files
  • SKILL.md
  • references/api.md
  • references/onboarding.md
  • scripts/onboarding.py
  • scripts/sif_asin_summary.py

What this skill tells the agent

SIF ASIN Summary

This skill guides you on how to query and analyze ASIN-level traffic source data, helping Amazon sellers understand the exposure and traffic structure of any product across multiple channels.

Core Concepts

SIF (Search Intelligence Framework) ASIN Summary provides a comprehensive breakdown of an ASIN's traffic sources on Amazon. It reveals how a product's total exposure is distributed across organic search, Sponsored Products ads, brand ads, video ads, Amazon's Choice, Editorial Recommendations, and Top Rated recommendations. This is essential for competitive analysis and traffic strategy optimization.

Exposure score: A composite metric reflecting the overall visibility of a product across all keywords in a given channel. A higher score means greater exposure. The exposure ratio fields show what percentage of total exposure comes from each channel (values range 0~1 or 0~100 depending on the field).

Traffic keyword count: The total number of keywords through which a product is discovered, broken down by channel (organic search, SP ads, brand ads, video ads, etc.).

Data Fields

Field-name suffixes: *Prev = previous-period value; *In / *Out = keywords entering / exiting this period (for period-over-period comparison).
FieldAPI NameDescription
ASINasinAmazon Standard Identification Number
Product TitleproductTitleFull product title on Amazon
Product CategoryproductCategoryProduct category on Amazon
Product PriceproductPriceCurrent listing price
Product Image URLproductImageUrlMain product image link
Product FeaturesproductFeaturesBullet-point product features list
Customer Rating CountcustomerRatingCountTotal number of customer ratings
Product Star RatingproductStarRatingProduct star rating (0–5)
Product Rating ScoreproductRatingScoreProduct rating score (0–5, as shown on Amazon)
Is Variant ProductisVariantProductWhether the ASIN is a variant (e.g., different color/size)
Recent Monthly Sales BucketrecentMonthlySalesBucketBucketed last-month sales (e.g. "300+", "1,000+") — only populated for keywordSummary path
Is MonitoredisMonitoredWhether the ASIN is on the monitoring list
Monitoring Start TimemonitoringStartTimeWhen the ASIN was added to monitoring
Data Period Start DatedataPeriodStartDateStart date of the returned data period (yyyy-MM-dd)
Total Exposure ScoretotalExposureScoreComposite exposure score across all channels
Total Exposure Score PrevtotalExposureScorePrevTotal exposure score in the previous period
Total Traffic Keyword CounttotalTrafficKeywordCountTotal keywords across all channels
Total Keywords In / Out / PrevtotalTrafficKeywordCountIn / Out / PrevNew / exited / previous-period counterparts
Natural Search Exposure ScorenaturalSearchExposureScoreExposure score from organic search
Natural Search Exposure RationaturalSearchExposureRatioOrganic search share of total exposure
Natural Search Exposure Score PrevnaturalSearchExposureScorePrevPrevious-period organic exposure score
Natural Search Keyword CountnaturalSearchKeywordCountKeywords found in organic search results
Natural Keywords In / Out / PrevnaturalSearchKeywordCountIn / Out / PrevNew / exited / previous-period counterparts
SP Ad Exposure ScoresponsoredProductsExposureScoreExposure score from Sponsored Products ads
SP Ad Exposure RatiosponsoredProductsExposureRatioSP ad share of total exposure
SP Ad Exposure Score PrevsponsoredProductsExposureScorePrevPrevious-period SP exposure score
SP Ad Keyword CountsponsoredProductsKeywordCountKeywords with SP ad placements
Brand Ad Exposure ScorebrandAdExposureScoreExposure score from brand ads
Brand Ad Exposure RatiobrandAdExposureRatioBrand ad share of total exposure
Brand Ad Exposure Score PrevbrandAdExposureScorePrevPrevious-period brand ad exposure score
Brand Ad Keyword CountbrandAdKeywordCountTotal brand ad keywords
Top Brand Ad Keyword CounttopBrandAdKeywordCountKeywords in top-of-page brand ads
Bottom Brand Ad Keyword CountbottomBrandAdKeywordCountKeywords in bottom-of-page brand ads
Video Ad Exposure ScorevideoAdExposureScoreExposure score from video ads
Video Ad Exposure RatiovideoAdExposureRatioVideo ad share of total exposure
Video Ad Exposure Score PrevvideoAdExposureScorePrevPrevious-period video ad exposure score
Video Ad Keyword CountvideoAdKeywordCountKeywords with video ad placements
Amazon's Choice Exposure ScoreamazonsChoiceExposureScoreExposure score from AC badge
Amazon's Choice Exposure RatioamazonsChoiceExposureRatioAC share of total exposure
Amazon's Choice Exposure Score PrevamazonsChoiceExposureScorePrevPrevious-period AC exposure score
Amazon's Choice Keyword CountamazonsChoiceKeywordCountKeywords with AC badge
AC Keywords In / OutamazonsChoiceKeywordCountIn / OutNew / exited AC keywords this period
Editorial Recommendations Exposure ScoreeditorialRecommendationsExposureScoreExposure from editorial recommendations
Editorial Recommendations Exposure RatioeditorialRecommendationsExposureRatioER share of total exposure
Editorial Recommendations Keyword CounteditorialRecommendationsKeywordCountKeywords with ER placements
Top Rated Exposure ScoretopRatedExposureScoreExposure from Top Rated recommendations
Top Rated Exposure RatiotopRatedExposureRatioTR share of total exposure
Top Rated Keyword CounttopRatedKeywordCountKeywords with TR placements
Frequently Bought Keyword CountfrequentlyBoughtKeywordCountKeywords in frequently-bought recommendations
Recommend Position Exposure ScorerecommendPositionExposureScoreTotal recommendation-position exposure score
Recommend Ad Exposure ScorerecommendAdExposureScoreAd portion of recommendation-position exposure
Recommend Non-ad Exposure ScorerecommendNonadExposureScoreNon-ad portion of recommendation-position exposure
Non-AC Recommend Exposure ScorenonAcRecommendExposureScoreRecommendation-position exposure excluding AC slots
Recommend Keyword CountrecommendKeywordCountTotal recommendation-position keywords
Recommend Ad Keyword CountrecommendAdKeywordCountAd portion of recommendation keywords
Recommend Non-ad Keyword CountrecommendNonadKeywordCountNon-ad portion of recommendation keywords
PPC Traffic SourcesppcTrafficSourcesList of paid ad types (SP, Top Brand Ad, Bottom Brand Ad, Video Ad)
Natural Search Traffic SourcesnaturalSearchTrafficSourcesOrganic search type markers
Amazon Recommendation SourcesamazonRecommendationSourcesRecommendation types (Best Seller, AC, ER, TR, TRFOB, etc.)
Promotional Deal SourcespromotionalDealSourcesActive promotions (Coupon, Limited Time Deal, Lowest Price in 30 Days, etc.)

Supported Marketplaces

13 marketplaces: US (United States), UK (United Kingdom), DE (Germany), CA (Canada), JP (Japan), FR (France), ES (Spain), IT (Italy), MX (Mexico), AU (Australia), AE (United Arab Emirates), BR (Brazil), SA (Saudi Arabia).

Default marketplace is US. Use US when the user does not specify a marketplace. Codes outside this list will be rejected by the API pattern.

调用方式

  • API 端点:POST /sif/asinSummary(完整参数/响应/错误码见 references/api.md)
  • Python 脚本:python scripts/sif_asin_summary.py '<JSON 参数>' [--inline]
  • 成本约束:本工具会消耗算力;同一会话同一参数组合默认只调用一次,脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探;需要继续检索时先向用户说明会产生额外消耗。

输出策略(脚本默认行为):

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