Linkfox Onboarding
infometa/workbuddyskills
LinkFox 账号与环境引导。两个入口:(1) 检测到 LINKFOXAGENTAPIKEY/LINKFOXAGENTAPIKEY 均未配置,或任何 linkfox- skill 返回 errcode=401/authorized error 时,引导用户配置 key——支持脚本化注册(手机号→验证码→自动获取 key);(2) 任何 linkfox- skill…
基于Keepa数据的亚马逊高级商品搜索与筛选,支持品类、价格、月销量、关键词、BSR排名、评论数、评分、包装尺寸、重量、配送方式等多维度条件。当用户提到Keepa选品、亚马逊商品查找、高级选品、BSR筛选、按销售排名选品、月销量过滤、关键词选品、品类选品、竞品筛选、小众商品发掘、历史排名筛选、Keepa product selection, advanced product…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-search --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-keepa-product-search .claude/skills/linkfox-keepa-product-search && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "linkfox-keepa-product-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-search into .claude/skills/linkfox-keepa-product-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-search", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-searchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-search --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkfox-keepa-product-search .agents/skills/linkfox-keepa-product-search && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkfox-keepa-product-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-search into .agents/skills/linkfox-keepa-product-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-search", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-search --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkfox-keepa-product-search .cursor/skills/linkfox-keepa-product-search && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linkfox-keepa-product-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-search into .cursor/skills/linkfox-keepa-product-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-search", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/linkfox-ai/linkfox-skills.git --path skills/linkfox-keepa-product-search--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-search --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkfox-keepa-product-search .gemini/skills/linkfox-keepa-product-search && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linkfox-keepa-product-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-search into .gemini/skills/linkfox-keepa-product-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-search", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-searchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-search -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkfox-keepa-product-search .github/skills/linkfox-keepa-product-search && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-keepa-product-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-search into .github/skills/linkfox-keepa-product-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-search", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-search -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-keepa-product-search --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkfox-keepa-product-search .opencode/skills/linkfox-keepa-product-search && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-keepa-product-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-keepa-product-search into .opencode/skills/linkfox-keepa-product-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-keepa-product-search", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
linkfox-keepa-product-search基于Keepa数据的亚马逊高级商品搜索与筛选,支持品类、价格、月销量、关键词、BSR排名、评论数、评分、包装尺寸、重量、配送方式等多维度条件。当用户提到Keepa选品、亚马逊商品查找、高级选品、BSR筛选、按销售排名选品、月销量过滤、关键词选品、品类选品、竞品筛选、小众商品发掘、历史排名筛选、Keepa product selection, advanced product…
Linkfox Keepa Product Search is an agent skill from linkfox-ai/linkfox-skills. 基于Keepa数据的亚马逊高级商品搜索与筛选,支持品类、价格、月销量、关键词、BSR排名、评论数、评分、包装尺寸、重量、配送方式等多维度条件。当用户提到Keepa选品、亚马逊商品查找、高级选品、BSR筛选、按销售排名选品、月销量过滤、关键词选品、品类选品、竞品筛选、小众商品发掘、历史排名筛选、Keepa product selection, advanced product selection, BSR filtering, sales filtering, category search, competitor screening, historical data filtering, Amazon product selection时触发此技能。即使用户未明确提及"Keepa",只要其需求涉及多条件亚马逊商品搜索、按销售指标筛选商品或超越简单关键词搜索的高级选品,也应触发此技能。
Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/keepa_product_search.py`).
The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
skill.linkfox.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
LINKFOX_AGENT_API_KEYLINKFOXAGENT_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Linkfox Keepa Product Search loads about 3.6k tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 1,468 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 1,468 words, ~3,605 tokens.
.claude/skills/linkfox-keepa-product-search/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.This skill guides you on how to search and filter Amazon products using Keepa's extensive product database, helping Amazon sellers find products that match specific criteria across multiple dimensions.
This tool provides advanced Amazon product search powered by Keepa data. Unlike a simple Amazon storefront search, it supports multi-criteria filtering: category, price range, monthly sales volume, BSR (Best Sellers Rank), keyword matching (positive and negative), review counts, ratings, package dimensions, weight, fulfillment type, historical sales rank, and more. It returns detailed product data including pricing, titles, images, listing dates, materials, weights, monthly sales for the past 12 months, and more.
BSR (Best Sellers Rank): A lower salesRank value means better sales performance. Rank 1 is the best-selling product in its category. When a user says "top-selling products", they want low BSR values.
Price unit: Prices are expressed in the smallest currency unit (e.g., cents for USD). So $25.99 = 2599. Always convert when building queries and when displaying results.
Category names: The categoriesIncludeNames parameter supports multi-level category paths separated by a colon : or the > character. Automatically convert user input into the correct format.
| Parameter | Type | Required | Description | Default |
|---|---|---|---|---|
| domain | string | Yes | Amazon marketplace ID | - |
Domain ID mapping:
| ID | Marketplace |
|---|---|
| 1 | Amazon.com (United States) |
| 2 | Amazon.co.uk (United Kingdom) |
| 3 | Amazon.de (Germany) |
| 4 | Amazon.fr (France) |
| 5 | Amazon.co.jp (Japan) |
| 6 | Amazon.ca (Canada) |
| 8 | Amazon.it (Italy) |
| 9 | Amazon.es (Spain) |
| 10 | Amazon.in (India) |
| 11 | Amazon.com.mx (Mexico) |
Default marketplace is 1 (US). Use domain 1 when the user doesn't specify a marketplace.
| Parameter | Type | Description |
|---|---|---|
| keyword | string | Title keyword filter (case-insensitive; space = AND; wrap phrases in double quotes; prefix with - to exclude; & is replaced by space; max 50 keywords, max 1000 chars) |
| Parameter | Type | Description |
|---|---|---|
| rootCategory | array[int] | Root category IDs (max 50) |
| rootCategoryNames | array[string] | Root category names (max 50); used when rootCategory is empty; system auto-resolves IDs |
| categoriesInclude | array[int] | Sub-category IDs to include (max 50) |
| categoriesIncludeNames | array[string] | Sub-category names to include (max 50); supports full category paths with : or > separators |
| categoriesExclude | array[int] | Sub-category IDs to exclude (max 50) |
| categoriesExcludeNames | array[string] | Sub-category names to exclude (max 50); supports full category paths |
| Parameter | Type | Description |
|---|---|---|
| currentSalesGte | integer | Current BSR -- minimum (higher number = worse rank) |
| currentSalesLte | integer | Current BSR -- maximum (lower number = better rank) |
| avg90SalesGte | integer | 90-day average BSR -- minimum |
| avg90SalesLte | integer | 90-day average BSR -- maximum |
| deltaPercent90SalesGte | integer | 90-day BSR change percentage -- minimum |
| deltaPercent90SalesLte | integer | 90-day BSR change percentage -- maximum |
| monthlySoldGte | integer | Monthly sales units -- minimum |
| monthlySoldLte | integer | Monthly sales units -- maximum |
| srAvgGte | integer | Historical average BSR -- minimum (for a specific month) |
| srAvgLte | integer | Historical average BSR -- maximum (for a specific month) |
| srAvgMonth | string | Historical BSR month selection (format: YYYYMM, within last 36 months) |
| Parameter | Type | Description |
|---|---|---|
| currentNewGte | integer | Current new price -- minimum (smallest currency unit) |
| currentNewLte | integer | Current new price -- maximum (smallest currency unit) |
| currentBuyBoxShippingGte | integer | Current Buy Box price including shipping -- minimum (smallest currency unit) |
| currentBuyBoxShippingLte | integer | Current Buy Box price including shipping -- maximum (smallest currency unit) |
| Parameter | Type | Description |
|---|---|---|
| currentCountReviewsGte | integer | Review count -- minimum |
| currentCountReviewsLte | integer | Review count -- maximum |
| currentRatingGte | number | Rating -- minimum (0.0-5.0) |
| currentRatingLte | number | Rating -- maximum (0.0-5.0) |
| Parameter | Type | Description |
|---|---|---|
| packageLengthGte / packageLengthLte | integer | Package length range (mm) |
| packageWidthGte / packageWidthLte | integer | Package width range (mm) |
| packageHeightGte / packageHeightLte | integer | Package height range (mm) |
| packageWeightGte / packageWeightLte | integer | Package weight range (grams) |
| Parameter | Type | Description |
|---|---|---|
| brand | array[string] | Brand names (OR match) |
| color | array[string] | Colors (OR match) |
| size | array[string] | Sizes (OR match) |
| availableDateGte / availableDateLte | string | Listing date range (yyyy-MM-dd) |
| buyBoxIsAmazon | boolean | Buy Box seller is Amazon |
| buyBoxIsFBA | boolean | Buy Box is FBA fulfilled |
| isHazMat | boolean | Hazardous material flag |
| variationCountGte / variationCountLte | integer | Variation count range |
| currentCountNewGte / currentCountNewLte | integer | Number of new offers range |
| outOfStockPercentage90Gte / outOfStockPercentage90Lte | integer | 90-day out-of-stock percentage range |
| singleVariation | boolean | Return only one variation per parent ASIN |
| productType | array[int] | Product types: 0=standard, 1=downloadable, 2=ebook, 5=variation parent |
| Parameter | Type | Description | Default |
|---|---|---|---|
| history | integer | Include historical data (price history, sales rank, monthly sales per month) | 0 (no) |
| rating | integer | Include rating info | 1 (yes) |
| Parameter | Type | Description | Default |
|---|---|---|---|
| page | integer | Page number (starting from 1) | 1 |
| perPage | integer | Results per page (min 50, max 100) | 50 |
| sort | array[object] | Sort rules (max 3); each object: `{"fieldName": "...", "sortDirection": "asc | desc"}` |
Sortable fields: availableDate, currentSales, monthlySold, currentRating, currentCountReviews, currentBuyBoxShipping, currentNew
POST /keepa/productSearch(完整参数/响应/错误码见 references/api.md)python scripts/keepa_product_search.py '<JSON 参数>' [--inline]输出策略(脚本默认行为):
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-keepa-product-search-<timestamp>.json(<cwd> 为脚本执行时的工作目录,在 Claude Code 里即当前项目目录;<session> 取自环境变量 SESSION_ID,按用户任务自动聚合;禁止写入 /tmp,当前目录不可写则报错)total/costToken、最大列表字段的长度 + 前 3 条样本)--inline 强制全量打印到 stdout(同样落盘)读数据建议:先看摘要判断是否足够;需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取,避免整份 JSON 进入上下文。
发生以下异常情况时,采用 references/onboarding.md 引导解决问题:
LINKFOX_AGENT_API_KEY,也未配置 LINKFOXAGENT_API_KEY。Construct the request parameters based on the user's intent:
domain ID valuekeyword for title-based filtering with positive and negative termscategoriesIncludeNames or rootCategoryNames to scope by category; convert user input into proper category path formatsort arrayhistory to 1 if the user needs monthly sales trends or price history1. Search for electronics with monthly sales over 1000 on US marketplace
{"domain": "1", "rootCategoryNames": ["Electronics"], "monthlySoldGte": 1000}2. Find products in a price range with good ratings
{"domain": "1", "currentBuyBoxShippingGte": 1500, "currentBuyBoxShippingLte": 5000, "currentRatingGte": 4.0, "keyword": "wireless charger"}3. New products listed in the last 6 months with low review counts
{"domain": "1", "availableDateGte": "2025-10-01", "currentCountReviewsLte": 50, "monthlySoldGte": 500}4. BSR rank filtering for competitive analysis
{"domain": "1", "categoriesIncludeNames": ["Home & Kitchen"], "currentSalesLte": 5000, "sort": [{"fieldName": "monthlySold", "sortDirection": "desc"}]}5. Find non-Amazon FBA products with good sales
{"domain": "1", "buyBoxIsAmazon": false, "buyBoxIsFBA": true, "monthlySoldGte": 300, "currentRatingGte": 4.0}6. Lightweight small products for easy shipping
{"domain": "1", "packageWeightLte": 500, "packageLengthLte": 200, "packageWidthLte": 150, "packageHeightLte": 100, "monthlySoldGte": 200}7. Search on Japan marketplace with historical data
{"domain": "5", "keyword": "USB charger", "history": 1, "monthlySoldGte": 100}8. Brand-specific search excluding hazardous materials
{"domain": "1", "brand": ["Anker", "UGREEN"], "isHazMat": false, "sort": [{"fieldName": "monthlySold", "sortDirection": "desc"}]}history=1 increases response size and token cost significantlyApplicable -- Multi-criteria Amazon product search and filtering:
| User Says | Scenario |
|---|---|
| "Find products with monthly sales over X" | Sales volume filtering |
| "Search for products in XX category" | Category-based product discovery |
| "Products with BSR under X" | Sales rank filtering |
| "New products listed in the last N months" | New product discovery |
| "Products priced between $X and $Y" | Price range filtering |
| "FBA products with good ratings" | Fulfillment + rating filter |
| "Lightweight products under X grams" | Package dimension filtering |
| "Products from brand XX" | Brand-specific search |
| "Show me historical sales data for XX" | Historical sales analysis |
| "Advanced product selection", "product screening" | Multi-criteria product research |
| "Niche product hunting", "find low-competition products" | Competitive gap analysis |
| "BSR trends", "sales rank history" | Historical rank filtering |
Not applicable -- Needs beyond product search:
Boundary judgment: When users say "product research" or "find products", if it involves filtering by sales metrics, BSR, price, category, and other structured criteria, this skill applies. If they want to see what appears on the actual Amazon search page for a keyword, use Amazon Search instead. If they want search term analytics, use ABA data.
按动态规则计费:消耗算力 = 0.045 × (找商品阶段消耗的 Keepa token + 拉取商品详情阶段消耗的 Keepa token)。先找商品,再拉商品详情;若第一段未找到商品,则只计找商品阶段消耗。
重要:本技能的服务按倍数动态计算,可能一次性消耗大量算力,必须提醒用户,由用户决定是否继续。
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
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, set LinkFox Skills.
© linkfox-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (scripts, references) in skills/linkfox-keepa-product-search of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in linkfox-ai/linkfox-skills, which our catalogue first saw on October 7, 2026.
Linkfox Keepa Product Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkfox Keepa Product Search this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Linkfox Onboardinginfometa/workbuddyskills | 348 | — | ~1.8k | Automated safety check: Pass | None | |
| Linkfox Aigc Textgeninfometa/workbuddyskills | 348 | — | ~1.5k | Automated safety check: Pass | None | |
| Linkfox Keepa Product Requestlinkfox-ai/linkfox-skills | 107 | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Linkfox Keepa Product Serieslinkfox-ai/linkfox-skills | 107 | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Linkfox Sellersprite Product Searchlinkfox-ai/linkfox-skills | 107 | 1 repos | ~3.6k | Automated safety check: Pass | MIT |
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通过ASIN获取亚马逊商品详情,包括价格、标题、Item Highlights(商品亮点)、主图、上架日期、材质、重量、变体月销量及近12个月的月销数据。当用户查询亚马逊商品详情、ASIN查询、Item Highlights、itemHighlights、标题补充信息、商品定价、销售排名历史、月销量趋势、商品尺寸、FBA费用、产品规格、批量ASIN查询、Keepa product…
linkfox-ai/linkfox-skills
查询亚马逊商品的历史时序数据,包括价格走势、BSR(畅销排名)趋势、评分变化、卖家数量和月销量,支持多个亚马逊站点的任意ASIN。当用户提到价格历史、价格追踪、BSR历史、BSR趋势、历史定价、价格波动、Keepa数据、排名历史、降价提醒、秒杀历史价格、Buy Box价格趋势、优惠券价格、FBA/FBM价格对比、卖家数量变化、评分趋势、销量历史、price history, BSR…
linkfox-ai/linkfox-skills
使用卖家精灵数据搜索和筛选亚马逊商品,支持价格、月销量、BSR排名、毛利率、评分、配送方式、标签、卖家来源等多维度条件,覆盖多个亚马逊站点。当用户提到亚马逊选品调研、产品筛选、销量过滤、产品发掘、BSR分析、小众商品发现、竞品分析、市场机会评估、按商品维度的市场规模估算、毛利率筛选、SellerSprite product selection, Amazon product…
linkfox-ai/linkfox-skills
Mercado Libre(美客多)选品数据查询与分析,通过 LinkFox 网关统一调用 24 个商品、官链、关键词、类目、趋势、店铺、评论、汇率与套餐用量工具,覆盖墨西哥、巴西、阿根廷、智利、哥伦比亚站点。当用户提到 Mercado Libre、美客多、美客多选品、商品搜索、类目趋势、关键词热搜、流量词反查、店铺查询、评论查询、汇率、套餐用量时触发此技能。
linkfox-ai/linkfox-skills
1688平台以图搜图,通过商品图片精准检索外观相似或同款的1688货源,返回标题、价格、起批量、月销量、复购率、交易评分等核心数据。当用户提到1688以图搜图、1688找货源、以图找同款、跨境找工厂、1688识图、图片找货源、找相似货源、image search 1688、find supplier by…
linkfox-ai/linkfox-skills
亚马逊ABA(品牌分析)搜索词数据的查询与分析,涵盖15个站点近3年的周维度数据。当用户提到ABA数据、亚马逊搜索词分析、关键词挖掘、搜索排名趋势、市场机会分析、季节性关键词、高点击低转化分析、蓝海词发现、竞品关键词分析、ABA data, search term report, keyword mining, search ranking trends, blue ocean…
linkfox-ai/linkfox-skills
通过亚马逊前台的 Alexa 购物助手发起自然语言问答,获取与问题相关的导购回答、推荐商品分组、ASIN 列表,以及可继续追问的问题。每次调用仅支持 1 条 prompt,如需追问须由 agent 总结上下文后拼接新问题发起新请求。可用 url 补充亚马逊页面上下文。当用户提到亚马逊 Alexa、Alexa 购物助手、亚马逊智能助手、AI…
linkfox-ai/linkfox-skills
亚马逊反向选品:基于历史商业洞察报告沉淀的指标数据池,按 30+ 项商业维度(市场规模与增长、价格区间与档位份额、竞争密度与头部集中度、人群画像如年龄/性别/收入、评论卖点与痛点等)反向筛选亚马逊赛道与关键词。当用户提到反向选品、指标筛选、细分市场反查、蓝海赛道挖掘、低竞争赛道、新人友好赛道、品牌分散市场、痛点切入、卖点反查、定价档位机会、人群画像选品、Amazon niche reverse…
linkfox-ai/linkfox-skills
通过ASIN获取亚马逊商品详细信息,包括标题、图片、五点描述、规格参数、A+页面、价格、评分评论、变体等;可在取得原始HTML时尝试提取Item Highlights(商品亮点)。当用户提到亚马逊商品详情、ASIN查询、商品页面数据、Listing分析、五点描述提取、Item…
linkfox-ai/linkfox-skills
按ASIN获取并分析亚马逊商品评论,支持15个站点(含美国站),按星级筛选评论。当用户提到亚马逊评论、美国站评论、商品评价、买家投诉、差评、好评、星级评分、评论分析、评论情感、产品改良建议、Vine评论、已验证购买评论、竞品评论研究、Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review…
基于Keepa数据的亚马逊高级商品搜索与筛选,支持品类、价格、月销量、关键词、BSR排名、评论数、评分、包装尺寸、重量、配送方式等多维度条件。当用户提到Keepa选品、亚马逊商品查找、高级选品、BSR筛选、按销售排名选品、月销量过滤、关键词选品、品类选品、竞品筛选、小众商品发掘、历史排名筛选、Keepa product selection, advanced product…. Linkfox Keepa Product Search is an agent skill from linkfox-ai/linkfox-skills.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-search -a claude-code`. Or copy the skill folder (skills/linkfox-keepa-product-search in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-keepa-product-search in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-search -a codex`. Or copy the skill folder (skills/linkfox-keepa-product-search in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-keepa-product-search in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-keepa-product-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-keepa-product-search, .gemini/skills/linkfox-keepa-product-search, .github/skills/linkfox-keepa-product-search and .opencode/skills/linkfox-keepa-product-search in your project.
Going by SKILL.md and its folder, Linkfox Keepa Product Search needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.
SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Linkfox Keepa Product Search is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linkfox Keepa Product Search: Linkfox Onboarding (infometa/workbuddyskills, 348 stars), Linkfox Aigc Textgen (infometa/workbuddyskills, 348 stars), Linkfox Keepa Product Request (linkfox-ai/linkfox-skills, 107 stars) and Linkfox Keepa Product Series (linkfox-ai/linkfox-skills, 107 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
linkfox-ai (a GitHub user) maintains it in linkfox-ai/linkfox-skills, which has 107 GitHub stars. The repository holds 177 skills in this directory. The repository was last updated on September 14, 2026.
Source: linkfox-ai/linkfox-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.