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linkfox-sorftime-product-searchLinkfox SORFTIME 产品搜索

Agent Skill

linkfox-sorftime-product-search 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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GitHub

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2

许可证

MIT-0

最后核验

2026-05-01

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复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:linkfox-sorftime-product-search(Linkfox SORFTIME 产品搜索)
来源仓库:https://github.com/linkfox-ai/linkfox-sorftime-product-search
安装命令:
openclaw skills install linkfox-sorftime-product-search
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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openclaw skills install linkfox-sorftime-product-search

简介

基于Sorftime进行亚马逊多维度产品搜索与筛选。

  • 支持历史月份快照回看,涵盖销量、价格、品牌与季节性分析。
  • 适用于竞品调研、类目分析与新品机会发现。
  • 注意数据覆盖范围与更新频率,避免依赖单一来源。
  • linkfox-sorftime-product-search 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
linkfox-sorftime-product-search
description
基于Sorftime数据的亚马逊多维度产品搜索与筛选,涵盖14个站点,支持历史月份快照回看。当用户提到Sorftime产品搜索、亚马逊产品筛选、竞品调研、类目分析、品牌热销、卖家分析、季节性产品、历史快照回看、产品搜索、月销量月销额、ABA关键词找产品、价格范围筛选、新品发现、多条件组合筛选、product search, competitor research, category analysis, brand bestsellers, seller analysis, seasonal products, historical snapshot时触发此技能。即使用户未明确提及"Sorftime",只要其需求涉及亚马逊产品搜索、筛选、对比或类目/品牌/卖家维度的产品探索,也应触发此技能。

Sorftime Product Search

This skill guides you on how to search and filter Amazon products via Sorftime across multiple dimensions, helping Amazon sellers discover products, analyze competitors, and explore market opportunities.

Core Concepts

Sorftime Product Search supports multi-dimensional product retrieval with 16 query types, single or multi-condition AND combinations, and historical monthly snapshot lookback from January 2024. Data covers pricing, BSR rankings, monthly sales, FBA fees, and profit analysis.

Key differentiator: This tool is for searching and filtering across products. If you need detailed trend data (sales/price/BSR history) for a specific ASIN, use the Sorftime Product Detail skill instead.

Data Fields

FieldAPI NameDescriptionExample
ASINasinAmazon Standard Identification NumberB0CVM8TXHP
Product TitletitleProduct listing titleAnker Portable Charger...
BrandbrandBrand nameAnker
Current PricepricePrice before Coupon, local currency (e.g., USD)29.99
Sale PricesalesPriceActual selling price after Coupon, local currency25.99
Strikethrough PriceoldPriceOriginal list price, local currency39.99
Couponcoupon>0 = discount amount (500=$5); <0 = percentage (-10=10% off)-15
BSR RanksalesRankBest Seller Rank in main category1523
Monthly SalesmonthlySalesUnits30-day sales volume (Listing level); -1 = cannot estimate4500
Monthly RevenuemonthlySalesRevenueEstimated monthly revenue, local currency; -1 = N/A116955.00
Daily SaleslistingSalesVolumeOfDailyDaily sales volume; -1 = cannot estimate150
Daily RevenuelistingSalesOfDailyDaily revenue, local currency; -1 = N/A3898.50
RatingratingCurrent rating (0.0-5.0)4.70
Rating CountratingsNumber of ratings12580
Listing DateavailableDateListing date (yyyy-MM-dd)2022-03-15
Days OnlineonlineDaysDays since listing850
FBA FeesfbaFeesFBA fulfillment fee, local currency5.40
Platform FeeplatformFeePlatform commission, local currency3.90
ProfitprofitAmountSale price - FBA - commission, local currency16.69
Profit RateprofitRateProfit margin, e.g., 25.83 = 25.83%25.83
FBA StatusisFBAWhether Buybox seller uses FBAtrue
Buybox SellerbuyboxSellerBuybox winning seller nameAnkerDirect
Seller CountrybuyboxSellerAddressSeller country code (CN, US); null if Amazon-operatedCN
Seller IDbuyBoxSellerIdBuybox seller IDA294P4X9EWVXLJ
CategorycategoryMain category [name, NodeId]["Cell Phones", "2811119011"]
Sub-categorybsrCategorySub-category rankings list[{nodeId, name, rank, date}]
VariationsvariationNumNumber of variations5
Parent ASINparentAsinParent ASIN if has variations, null otherwiseB0088PUEPK
WeightweightWeight in grams350
SizesizeDimensions in cm [longest, 2nd, shortest][18.5, 8.2, 3.1]
Main ImageimageUrlMain product image URLhttps://...
Listing URLasinUrlAmazon product page URLhttps://www.amazon.com/dp/...

Supported Marketplaces

US (United States), GB (United Kingdom), DE (Germany), FR (France), IN (India), CA (Canada), JP (Japan), ES (Spain), IT (Italy), MX (Mexico), AE (United Arab Emirates), AU (Australia), BR (Brazil), SA (Saudi Arabia)

Default marketplace is US. Use us when the user doesn't specify a marketplace.

Note: Sorftime uses lowercase codes (e.g., us, gb, de), and UK is coded as gb (not uk).

API Usage

This tool calls the LinkFox tool gateway API. See references/api.md for calling conventions, request parameters, and response structure. You can also execute scripts/sorftime_product_search.py directly to run queries.

How to Build Queries

The key parameters are marketplace (required), queryMode, queryType, and queryValue. The query system has two modes and 16 filter types that can be combined flexibly.

Principles for Building Queries

  1. Always specify the marketplace: Use lowercase site codes, e.g., us, de, jp
  2. Choose the right query mode: Use queryMode=1 for a single filter; use queryMode=2 to combine multiple filters with AND logic
  3. Match queryType with queryValue format: Each queryType expects a specific format — see the table below. Mismatched formats will cause errors
  4. Mind price units: Price filters (queryType=8) use smallest currency unit (cents for USD), so $19.99 = 1999
  5. Use open ranges when appropriate: Omit one end for open range — ,1000 means "up to 1000"; 100, means "100 or more"
  6. Use queryMonth for historical comparison: Format yyyy-MM; compare with a second call without queryMonth to see changes over time

Query Types (queryType, for queryMode=1)

queryTypeNamequeryValue FormatExample
1ASIN SimilarASINB0CVM8TXHP
2CategoryNodeId3743561
3BrandBrand nameAnker
4Seller NameStore nameAnkerDirect
5Seller IDSellerIdA294P4X9EWVXLJ
6ABA KeywordKeywordPower Bank
7Title/Attribute MatchKeywords10,000mAh 30W
8Price Rangemin,max (in cents)1,1000 (=$0.01~$10)
9Monthly Sales Rangemin,max100,1000
10Seasonal ProductsMonth list1,2,3 (peak in Jan-Mar)
11Listing Date Rangestart,end (yyyy-MM-dd)2024-06-01,2024-12-01
12Rating Rangemin,max3,5
13Review Count Rangemin,max10,500
14Rank Rangebsr_min,bsr_max;sub_min,sub_max500,5000;1,100
15FulfillmentFBA / FBMFBA,FBM
16Variation Countmin,max1,50

Important: queryType=1 (ASIN Similar) finds products similar to the given ASIN, not the ASIN itself. To query a single product's detail, use the Sorftime Product Detail skill.

Historical Snapshots (queryMonth)

Set queryMonth (format yyyy-MM) to query a past month's product data snapshot. This lets users compare historical prices, rankings, and sales with current data.

  • Supported range: January 2024 to present (~2 years)
  • US, GB, DE support full "unlimited" lookback mode
  • Other sites support Top 100 products only in lookback
  • AU, BR, IN do not support lookback

Query Examples for Common Scenarios

1. Find competitors of a given ASIN

queryMode: 1, queryType: 1, queryValue: B0CVM8TXHP, marketplace: us

2. Browse a category's top products

queryMode: 1, queryType: 2, queryValue: 3743561, marketplace: us

3. Analyze a brand's product portfolio

queryMode: 1, queryType: 3, queryValue: Anker, marketplace: us

4. Search by ABA keyword

queryMode: 1, queryType: 6, queryValue: Power Bank, marketplace: us

5. Discover seasonal products (Q4 peak)

queryMode: 1, queryType: 10, queryValue: 10,11,12, marketplace: us

6. Compare historical vs current data

queryMonth: 2024-11, queryMode: 1, queryType: 2, queryValue: 3743561, marketplace: us
→ Compare with current data (no queryMonth) to see price/sales changes

7. Multi-condition: new FBA products with good sales

queryMode: 2
queryValue: [{"QueryType":11,"Content":"2024-06-01,"},{"QueryType":9,"Content":"300,"},{"QueryType":15,"Content":"FBA"}]
marketplace: us

8. Find low-price high-sales products

queryMode: 2
queryValue: [{"QueryType":8,"Content":",2000"},{"QueryType":9,"Content":"500,"}]
marketplace: us

9. Check a seller's product portfolio

queryMode: 1, queryType: 4, queryValue: AnkerDirect, marketplace: us

Display Rules

  1. Present data only: Show query results in clear tables without subjective business advice
  2. Ranking clarification: When showing ranking data, remind users that lower values mean better rankings
  3. Pagination notice: Search results return max 100 products per page, up to 200 pages. If results are large, show highlights and remind users to paginate
  4. Sales estimation caveat: Values of -1 in sales/revenue fields mean "cannot estimate" — explain this to the user rather than showing -1 directly
  5. Error handling: When a query fails, explain the reason based on the msg field and suggest adjusting query criteria

Important Limitations

  • Pagination: Max 100 products per page, max 200 pages
  • Historical lookback: Only from January 2024; AU, BR, IN not supported
  • Non-structured data: Results do not support secondary analysis via _dataQuery_executeDynamicQuery
  • Sales estimation: Products in non-standard categories may return -1 for sales fields
  • ABA keyword search (queryType=6): Currently only supports ABA keywords, not arbitrary search terms

User Expression & Scenario Quick Reference

Applicable - Product search and filtering on Amazon:

User SaysScenario
"找一下这个类目下卖得好的产品"Category exploration
"Anker品牌有哪些热销产品"Brand analysis
"这个ASIN的竞品有哪些"Competitor discovery
"帮我找一些季节性产品"Seasonal product discovery
"新品中月销量超过500的有哪些"Filtered product discovery
"去年双十一这个类目的价格快照"Historical snapshot comparison
"这个卖家还卖了什么产品"Seller portfolio
"帮我筛选利润率高于30%的FBA产品"Profit-focused filtering
"月销量1000以上,评分4星以上的产品"Multi-condition filtering
"标题包含wireless charger的产品"Title keyword search

Not applicable - Needs beyond product search:

  • Detailed trend/history data for a specific ASIN (use Sorftime Product Detail)
  • ABA search term ranking data (use ABA Data Explorer)
  • Advertising / PPC strategy
  • Product reviews content analysis
  • Patent or trademark checks

Boundary judgment: When users say "competitor analysis" or "market research", if they need to discover and compare products across dimensions (category, brand, price range, etc.), this skill applies. If they need historical trend curves for a specific ASIN, use the Product Detail skill. If they need keyword search volume data, use ABA Data Explorer.

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.


*For more high-quality, professional cross-border e-commerce skills, visit LinkFox Skills.*

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