linkfox-ai/linkfox-skills/skills/linkfox-sellersprite-competitor-lookup/SKILL.md
linkfox-sellersprite-competitor-lookup
Use it for sales and research tasks; the detail page covers purpose, installation, and practical steps.
- Source repository stars
- 85
- Declared platforms
- 0
- Static risk flags
- 0
- Last source update
- 2026-08-21
- Source checked
- 2026-08-25
Decision brief
What it does: where it fits
This skill guides you on how to query and analyze Amazon competitor product data, helping Amazon sellers discover competing products, benchmark performance, and extract actionable competitive intelligence.
Not for
- Result cap: Each page returns 10-100 records (controlled by size). Use pagination for larger result sets.
- ASIN limit: A maximum of 40 ASINs can be queried at once via asinList.
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/linkfox-ai/linkfox-skills --skill "skills/linkfox-sellersprite-competitor-lookup"Inspect the Agent Skill "linkfox-sellersprite-competitor-lookup" from https://github.com/linkfox-ai/linkfox-skills/blob/93a1dbf71f793169db2b01928ec385fe1f7bd843/skills/linkfox-sellersprite-competitor-lookup/SKILL.md at commit 93a1dbf71f793169db2b01928ec385fe1f7bd843. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
Usage Examples
1. Look up competitors by ASIN
1. Look up competitors by ASINUse case: Analyze specific competing products by their ASINs.2. Search competitors by keyword - 02
Core Concepts
The SellerSprite Competitor Lookup tool provides comprehensive Amazon product data across 12 marketplaces. It allows querying products by ASIN, keyword, seller name, brand, or category, and returns detailed metrics including monthly sales volume, revenue, BSR ranking, pricing, r…
The SellerSprite Competitor Lookup tool provides comprehensive Amazon product data across 12 marketplaces. It allows querying products by ASIN, keyword, seller name, brand, or category, and returns detailed metrics incl…Data snapshots: The tool supports both real-time data (last 30 days) and historical monthly snapshots. Use nearly (default) for current data or a yyyyMM format (e.g., 202501) for historical snapshots. Historical snapsho…Category hierarchy: Amazon category names support multi-level paths separated by colons (:). For example, Electronics:Computers & Accessories:Monitors. Convert user-provided category descriptions into the proper colon-s… - 03
Supported Marketplaces
US (United States), UK (United Kingdom), DE (Germany), FR (France), JP (Japan), CA (Canada), IT (Italy), ES (Spain), MX (Mexico), AU (Australia), TR (Turkey), IN (India)
US (United States), UK (United Kingdom), DE (Germany), FR (France), JP (Japan), CA (Canada), IT (Italy), ES (Spain), MX (Mexico), AU (Australia), TR (Turkey), IN (India)Default marketplace is US. Use US when the user does not specify a marketplace. - 04
Parameter Guide
Review the “Parameter Guide” section in the pinned source before continuing.
Review and apply the “Parameter Guide” source section. - 05
Search Filters
Review the “Search Filters” section in the pinned source before continuing.
Review and apply the “Search Filters” source section.
Permission review
Static risk signals and limitations
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
Why each signal appears
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 91/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 85 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- linkfox-ai/linkfox-skills
- Skill path
- skills/linkfox-sellersprite-competitor-lookup/SKILL.md
- Commit
- 93a1dbf71f793169db2b01928ec385fe1f7bd843
- License
- MIT
- Collected
- 2026-08-25
- Default branch
- main
View the original SKILL.md
SellerSprite Competitor Lookup
This skill guides you on how to query and analyze Amazon competitor product data, helping Amazon sellers discover competing products, benchmark performance, and extract actionable competitive intelligence.
Core Concepts
The SellerSprite Competitor Lookup tool provides comprehensive Amazon product data across 12 marketplaces. It allows querying products by ASIN, keyword, seller name, brand, or category, and returns detailed metrics including monthly sales volume, revenue, BSR ranking, pricing, ratings, and growth trends.
Data snapshots: The tool supports both real-time data (last 30 days) and historical monthly snapshots. Use nearly (default) for current data or a yyyyMM format (e.g., 202501) for historical snapshots. Historical snapshots capture all active listings for that month, enabling year-over-year and seasonal comparisons.
Category hierarchy: Amazon category names support multi-level paths separated by colons (:). For example, Electronics:Computers & Accessories:Monitors. Convert user-provided category descriptions into the proper colon-separated format.
Supported Marketplaces
US (United States), UK (United Kingdom), DE (Germany), FR (France), JP (Japan), CA (Canada), IT (Italy), ES (Spain), MX (Mexico), AU (Australia), TR (Turkey), IN (India)
Default marketplace is US. Use US when the user does not specify a marketplace.
Parameter Guide
Search Filters
| Parameter | Description | Example |
|---|---|---|
| marketplace | Amazon marketplace code | US, UK, DE, JP |
| keyword | Search keyword (translate to the marketplace language) | wireless earbuds |
| asinList | One or more ASINs, comma-separated (max 40) | B072MQ5BRX,B08N5WRWNW |
| sellerName | Seller name to filter by | Anker Direct |
| brand | Brand name to filter by | Anker |
| nodeLabel | Amazon category name (colon-separated levels) | Electronics:Headphones |
| nodeIdPath | Amazon category ID path | 172282 |
| matchType | Keyword match mode: 1 = phrase, 2 = fuzzy, 3 = exact (default 1) | 1 |
| showVariation | Show product variations: Y or N (default N) | N |
| dataSnapshotMonth | Data snapshot month (nearly for real-time, or yyyyMM) | nearly |
Pagination & Sorting
| Parameter | Description | Example |
|---|---|---|
| page | Page number, starting from 1 | 1 |
| size | Results per page, 10-100 (default 50) | 50 |
| order.field | Sort field (see sort options below) | total_units |
| order.desc | Sort direction: true = descending, false = ascending | true |
Sort Field Options
| Field | Description |
|---|---|
| total_units | Monthly sales units |
| total_amount | Monthly sales revenue |
| bsr_rank | BSR ranking |
| price | Price |
| rating | Rating score |
| reviews | Number of reviews |
| profit | Gross margin |
| reviews_rate | Review rate |
| available_date | Listing date |
| questions | Q&A count |
| total_units_growth | Monthly sales unit growth rate |
| total_amount_growth | Monthly revenue growth rate |
| reviews_increasement | Monthly new reviews |
| bsr_rank_cv | 7-day BSR growth count |
| bsr_rank_cr | 7-day BSR growth rate |
| amz_unit | Variant sales units |
Key Response Fields
| Field | Description |
|---|---|
| asin | Product ASIN |
| title | Product title |
| price | Current price |
| monthlySalesUnits | Monthly sales volume |
| monthlySalesRevenue | Monthly sales revenue |
| bsr | BSR ranking |
| bsrGrowthRate | BSR growth rate |
| bsrGrowthCount | BSR growth count |
| rating | Rating score |
| ratings | Number of ratings |
| ratingsGrowth | Monthly new ratings |
| ratingsRate | Review rate |
| brand | Brand name |
| sellerName | BuyBox seller |
| sellerNation | BuyBox seller nationality |
| fulfillment | Fulfillment type (AMZ/FBA/FBM) |
| availableDateString | Listing date |
| profit | Gross margin |
| nodeLabelPath | Category path |
| imageUrl | Product image URL |
| monthlySalesUnitsGrowthRate | Monthly sales growth rate |
| listingQualityScore | Listing quality score |
| variationNum | Number of variations |
| parent | Parent ASIN |
| badgeBestSeller | Best Seller badge (Y/N) |
| badgeAmazonChoice | Amazon's Choice badge (Y/N) |
| badgeEbc | A+ Content (Y/N) |
| badgeVideo | Video present (Y/N) |
调用方式
- API 端点:
POST /sellersprite/competitor-lookup(完整参数/响应/错误码见references/api.md) - Python 脚本:
python scripts/sellersprite_competitor_lookup.py '<JSON 参数>' [--inline] - 成本约束:本工具会消耗积分;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):
- 始终将完整响应写入
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-sellersprite-competitor-lookup-<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) - 响应体 ≤ 8 KB:落盘后把完整 JSON 打印到 stdout
- 响应体 > 8 KB:落盘后 stdout 只输出摘要(顶层字段、常见计数如
total/costToken、最大列表字段的长度 + 前 3 条样本) - 加
--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。
解决认证和积分问题
发生以下异常情况时,采用 references/onboarding.md 引导解决问题:
异常情况
- 未配置API Key:环境变量未配置
LINKFOX_AGENT_API_KEY,也未配置LINKFOXAGENT_API_KEY。 - 响应401或402状态码
- 响应提示积分或余额不足:消息含"积分余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值",或类似含义的内容。
Usage Examples
1. Look up competitors by ASIN
{
"marketplace": "US",
"asinList": "B072MQ5BRX,B08N5WRWNW"
}
Use case: Analyze specific competing products by their ASINs.
2. Search competitors by keyword
{
"marketplace": "US",
"keyword": "wireless earbuds",
"matchType": 1,
"order": {"field": "total_units", "desc": "true"},
"size": 20
}
Use case: Discover top-selling products for a keyword, sorted by monthly sales.
3. Filter by brand and category
{
"marketplace": "US",
"brand": "Anker",
"nodeLabel": "Electronics:Headphones",
"order": {"field": "total_amount", "desc": "true"}
}
Use case: Analyze a specific brand's product lineup within a category.
4. Find products by seller name
{
"marketplace": "DE",
"sellerName": "Anker Direct",
"order": {"field": "bsr_rank", "desc": "false"}
}
Use case: View all products from a particular seller sorted by BSR.
5. Historical snapshot comparison
{
"marketplace": "US",
"keyword": "space heater",
"dataSnapshotMonth": "202412",
"order": {"field": "total_units", "desc": "true"},
"size": 20
}
Use case: Analyze seasonal product performance using historical data snapshots.
6. Show product variations
{
"marketplace": "JP",
"asinList": "B0XXXXXXXXX",
"showVariation": "Y"
}
Use case: Examine all variation-level data for a product family.
Display Rules
- Present data clearly: Show query results in well-formatted tables. Include key metrics such as ASIN, title, price, monthly sales, BSR, rating, and brand. Do not provide subjective business advice unless the user asks for it.
- Keyword language: When searching by keyword, always translate the keyword to the target marketplace language (e.g., English for US/UK, German for DE, Japanese for JP). Remind the user of this if they provide keywords in the wrong language.
- BSR clarification: When displaying BSR data, remind users that a lower BSR value indicates stronger sales performance.
- Growth metrics: When showing growth rates, clarify whether positive values mean improvement or decline (positive BSR growth count means BSR increased, which means worsened ranking).
- Pagination notice: When the total result count exceeds the returned page size, inform the user of the total count and offer to fetch additional pages.
- Badge highlights: When products carry badges (Best Seller, Amazon's Choice, A+ Content, Video), highlight these in the results as they are important competitive signals.
- Error handling: When a query fails, explain the reason based on the
messagefield and suggest adjusting query parameters. - Snapshot guidance: When users want to do seasonal or trend analysis, proactively suggest using historical snapshots (e.g., last year's same month) for comparison.
Important Limitations
- Result cap: Each page returns 10-100 records (controlled by
size). Use pagination for larger result sets. - ASIN limit: A maximum of 40 ASINs can be queried at once via
asinList. - Historical snapshots: Only existing monthly snapshots can be queried; future dates are not supported.
- Keyword language: Keywords should match the marketplace language for best results.
User Expression & Scenario Quick Reference
Applicable -- Amazon competitor product data queries:
| User Says | Scenario |
|---|---|
| "Find competitors for this ASIN" | ASIN-based competitor lookup |
| "Top sellers for wireless earbuds" | Keyword-based product discovery |
| "What is this seller selling" | Seller product portfolio analysis |
| "Show me products in Electronics category" | Category-based browsing |
| "Monthly sales for these ASINs" | Sales estimation for specific products |
| "New products gaining traction" | Growth trend detection |
| "Compare products across brands" | Brand benchmarking |
| "How was this niche last December" | Historical snapshot analysis |
| "Best sellers with high ratings" | Multi-metric filtering |
| "FBA vs FBM in this category" | Fulfillment type analysis |
Not applicable -- Needs beyond competitor product data:
- ABA search term data or keyword ranking (use ABA Data Explorer instead)
- Advertising / PPC campaign management
- Product reviews content or sentiment analysis
- Listing copywriting or optimization suggestions
- Supplier sourcing or manufacturing costs
- Account health or policy compliance
积分消耗规则
消耗 15 积分。
用户会因积分消耗而支付费用。请充分评估:当需要高频调用本技能,或用户对积分消耗量预期不足时,务必提醒用户,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:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- 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, set LinkFox Skills.
Frequently asked questions
What to verify before installation and use
What does the linkfox-sellersprite-competitor-lookup source document cover?
This skill guides you on how to query and analyze Amazon competitor product data, helping Amazon sellers discover competing products, benchmark performance, and extract actionable competitive intelligence.
How do I install linkfox-sellersprite-competitor-lookup?
The source record exposes this install command: npx skills add https://github.com/linkfox-ai/linkfox-skills --skill "skills/linkfox-sellersprite-competitor-lookup". Inspect the command and pinned source before running it.
Alternatives
Compare before choosing
JasonColapietro/suede-creator-skills
suede-instagram-growth
Suede-owned Instagram growth operating system for account-specific audits, Reels, carousels, Stories, conversion mapping, calendars, and daily candidate-production loops. Use when the user names Instagram, IG, Reels, Stories, asks to analyze recent posts, grow a handle, run a daily workflow, create or repurpose Instagram content, or distinguish views from follows, leads, and sales. NOT FOR: multi-platform organic strategy (use suede-social), full video rendering or editing (use suede-video), pai
yonatangross/orchestkit
brainstorm
Design exploration using parallel agents through a 7-phase process: topic analysis, memory context, divergent ideation (10+ ideas), feasibility filtering, evaluation with devil's advocate scoring (0-10 across 7 dimensions), synthesis of top approaches, and trade-off comparison. Supports open exploration, constrained design, comparison, quick ideation, and iterative optimization modes. Use when brainstorming ideas, exploring solutions, or comparing alternatives.
johnqtcg/awesome-skills
stock-business-review
Review a US-listed company's business model and revenue structure for an equity-research workup. Covers product/service mix, customer concentration, geographic exposure, industry position, revenue-growth decomposition (organic vs acquired vs price vs volume), and information-tier discipline (which numbers are facts vs management narrative). Trigger when analyzing a single US ticker's business fundamentals, when reading 10-K Item 1 "Business" and Item 1A "Risk Factors", or when the orchestrator s
johnqtcg/awesome-skills
stock-industry-review
Review a US-listed company's industry position and competitive moat for an equity-research workup. Covers Porter Five Forces scan, market-share trend (absolute and relative to industry growth), TAM size and trajectory, unit economics where disclosed (LTV/CAC, unit gross margin), moat classification (network / brand / scale-cost / switching-cost / patent / regulatory / proprietary-data), substitute threats, new-entrant threats, pricing-power evidence, supplier/channel concentration risk, and regu