Agent skill

Linkfox Sif Asin Keywords

by linkfox-ai in linkfox-ai/linkfox-skills

使用SIF数据反查任意亚马逊ASIN的流量关键词,包括自然排名、广告排名、搜索量、流量占比、自然/付费得分、ABA TOP3点击集中度、点击转化率、搜索量同比涨跌及周/月时间窗。当用户提到ASIN关键词分析、ASIN反查、流量关键词研究、自然排名查询、广告排名查询、关键词位置追踪、SIF关键词数据、竞品关键词窥探、查看哪些关键词为产品带来流量、分析特定ASIN的关键词表现、按周/月/最近N天的关…

MITAuto-check passedMarketing & SEO

Install Linkfox Sif Asin Keywords

skills CLI
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-sif-asin-keywords -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install linkfox-ai/linkfox-skills linkfox-sif-asin-keywords --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-sif-asin-keywords .claude/skills/linkfox-sif-asin-keywords && rm -rf skills-src

Use ~/.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/

Facts

Skill name
linkfox-sif-asin-keywords
GitHub stars
107
Used in
1 other repo
Token cost
~4.1k tokens
SKILL.md length
1,779 words
Files
5 (incl. scripts, references)
Skills in repo
177
Repo updated
First seen
Licence
MIT

At a glance

使用SIF数据反查任意亚马逊ASIN的流量关键词,包括自然排名、广告排名、搜索量、流量占比、自然/付费得分、ABA TOP3点击集中度、点击转化率、搜索量同比涨跌及周/月时间窗。当用户提到ASIN关键词分析、ASIN反查、流量关键词研究、自然排名查询、广告排名查询、关键词位置追踪、SIF关键词数据、竞品关键词窥探、查看哪些关键词为产品带来流量、分析特定ASIN的关键词表现、按周/月/最近N天的关…

  • Works in 6 steps: Always specify the marketplace: Set… → Pick the right time window: The default… → Use keyword filtering: When the user is… → …
  • Tasks that involve Keyword research
  • SKILL.md covers Core Concepts, Data Fields, Supported Marketplaces and 调用方式, plus 7 more sections
  • Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY

What it does

Linkfox Sif Asin Keywords is an agent skill from linkfox-ai/linkfox-skills. 使用SIF数据反查任意亚马逊ASIN的流量关键词,包括自然排名、广告排名、搜索量、流量占比、自然/付费得分、ABA TOP3点击集中度、点击转化率、搜索量同比涨跌及周/月时间窗。当用户提到ASIN关键词分析、ASIN反查、流量关键词研究、自然排名查询、广告排名查询、关键词位置追踪、SIF关键词数据、竞品关键词窥探、查看哪些关键词为产品带来流量、分析特定ASIN的关键词表现、按周/月/最近N天的关键词时间窗、ASIN reverse keyword lookup, traffic keywords, organic ranking, ad ranking, search volume, SIF keywords, competitor keyword reverse lookup, click concentration, click-to-purchase conversion, week-over-week search volume时触发此技能。即使用户未明确提及"SIF",只要其需求涉及查找与特定亚马逊商品(ASIN)关联的关键词,也应触发此技能。

Its SKILL.md is about 4.1k 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/onboarding.py`).

It sits in Marketing & SEO, covering Keyword research. The licence is MIT.

When your agent uses it

  • Tasks that involve Keyword research

Example prompts

  • “/linkfox-sif-asin-keywords”

Requirements

  • Python 3
  • A credential in LINKFOX_AGENT_API_KEY
  • A credential in LINKFOXAGENT_API_KEY

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Always specify the marketplace: Set country to one of the 13 supported codes.
  2. Pick the right time window: The default is the latest 7 days. Pass timePieceType=month + timePieceValue=YYYY-MM for a specific month, or…
  3. Use keyword filtering: When the user is interested in specific keywords, pass the keyword parameter to narrow results.
  4. Apply condition filters: Use conditions to focus on specific keyword types (e.g., only organic keywords, only purchase-converting…
  5. Choose appropriate sorting: Sort by estSearchesNum for highest search volume keywords, or by lastRank for best-ranking keywords.
  6. Handle pagination: The API returns at most 100 results per page. Use pageNum to retrieve additional pages if the total exceeds 100.

What it can do on your machine

Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • skill.linkfox.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • LINKFOX_AGENT_API_KEY
    • LINKFOXAGENT_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Linkfox Sif Asin Keywords loads about 4.1k tokens when it runs, and up to ~7k if it reads all its reference files. Until then it costs about 128 tokens; SKILL.md has 1,779 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~128
When it runs · the whole SKILL.md, loaded when a task matches
~4.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from linkfox-ai/linkfox-skills at commit 38fef04, republished under its MIT licence (© linkfox-ai). 1,779 words, ~4,066 tokens.

Download SKILL.mdSave it as .claude/skills/linkfox-sif-asin-keywords/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
linkfox-sif-asin-keywords
description
使用SIF数据反查任意亚马逊ASIN的流量关键词,包括自然排名、广告排名、搜索量、流量占比、自然/付费得分、ABA TOP3点击集中度、点击转化率、搜索量同比涨跌及周/月时间窗。当用户提到ASIN关键词分析、ASIN反查、流量关键词研究、自然排名查询、广告排名查询、关键词位置追踪、SIF关键词数据、竞品关键词窥探、查看哪些关键词为产品带来流量、分析特定ASIN的关键词表现、按周/月/最近N天的关键词时间窗、ASIN reverse keyword lookup, traffic keywords, organic ranking, ad ranking, search volume, SIF keywords, competitor keyword reverse lookup, click concentration, click-to-purchase conversion, week-over-week search volume时触发此技能。即使用户未明确提及"SIF",只要其需求涉及查找与特定亚马逊商品(ASIN)关联的关键词,也应触发此技能。

SIF ASIN Keyword Analysis

This skill guides you on how to query and analyze traffic keywords for a specific Amazon ASIN, helping Amazon sellers understand which keywords drive traffic to a product and how that product ranks for each keyword.

Core Concepts

SIF ASIN Keyword data reveals the keywords that bring traffic to a specific Amazon product (ASIN). For each keyword, you can see the product's organic search rank, SP ad rank, search volume, traffic share, display position types, and various performance markers. This is the go-to tool for reverse ASIN keyword lookup.

Single-ASIN limitation: This tool queries one ASIN at a time. If the user wants to compare multiple ASINs, you must make separate queries for each.

Ranking logic: A smaller rank value means a better (higher) position. Rank 1 means the product appears first in search results. When a user says "ranking improved", the numeric value decreased; "ranking dropped" means the value increased.

Data Fields

Per-keyword record (each element of data)
FieldAPI NameDescriptionExample
KeywordkeywordThe search keyword driving trafficwireless charger
Keyword TranslationtranslateKeywordLocalized keyword translation for the marketplace无线充电器
ASINasinThe product ASIN being queriedB0XXXXXXXX
Organic RankproductNaturalRankProduct's position in organic search results5
Organic Rank (Display)naturalRankDisplayOrganic rank as display text5
Ad RankproductAdRankProduct's position in SP ad results3
Ad Rank (Display)adRankDisplayAd rank as display text3
Weekly Search VolumeweeklySearchVolumeEstimated weekly searches for this keyword125000
Keyword Popularity RankkeywordPopularityRankKeyword's search volume rank among all keywords (lower = more popular)203
Total Search Result ProductstotalSearchResultProductCountTotal products shown under this keyword (organic + ads + recommendations)1280
Traffic SharetrafficShareShare of traffic this keyword contributes to the ASIN (1 = 100%)0.05
Natural Traffic SharenaturalTrafficShareOrganic exposure score / total score0.62
Paid Traffic SharepaidTrafficSharePaid-ad exposure score / total score (SP + SB + SBV + recAd)0.31
Natural Traffic ScorenaturalTrafficScoreOrganic search exposure score for this ASIN on this keyword (0 = none)4.2
SP Ads ScoresponsoredProductsScoreSponsored Products regular-slot score (excludes SP recommendation slots)2.1
Brand Ad (SB) ScorebrandAdScoreSponsored Brands total score (standard + video)0.8
Video Ad (SBV) ScorevideoAdScoreSponsored Brands Video score0.3
SP Recommendation ScoresponsoredRecommendationScoreCombined score across SP recommendation slots (Trending now, Seen on social media, Customers frequently viewed, 4 stars and above, etc.)1.4
SP Recommendation BreakdownsponsoredRecommendationBreakdownArray of {title, score, scoreRatio} per SP recommendation slot[{"title":"Trending now","score":0.8,"scoreRatio":0.57}]
ABA TOP3 Click ConcentrationclickConcentrationShareWhether clicks under this keyword concentrate on the top ASINs (NOT a conversion rate)0.42
Click-to-Purchase ConversionclickToPurchaseConversionRatepurchaseQty / clickQty at the keyword level0.037
Display Position TypesdisplayPositionTypesWhere the product appears: natural, ac, sp, top, bottom, er, vedio, tr, trfob["natural", "sp"]
Traffic Characteristic MarkerstrafficCharacteristicMarkersTraffic feature tags: isMainKw, isAccurateKw, isAccurateAboveKw, isAccurateTailKw["isMainKw"]
Conversion Performance MarkersconversionPerformanceMarkersConversion tags: isPurchaseKw, isQualityKw, isStableKw, isLossKw, isInvalidKw["isPurchaseKw"]
Last Organic Rank TimelastNaturalRankTimeWhen the product last had a valid organic rank for this keyword2026-04-20
Last Ad Rank TimelastAdRankTimeWhen the product last had a valid SP ad rank for this keyword2026-04-20
Period End DateperiodEndDateEnd date of the current (weekly) period = start-week + 7 days2026-04-27
Update TimeupdateTimeWhen the keyword data was last updated2026-04-21
Top-level response fields (alongside data)
FieldAPI NameDescription
Is Parent ASINisParentAsinWhether the queried ASIN is a parent (variation hub)
Has VariantshasVaiantsWhether the ASIN has variants
Latest ABA WeekabaCreateDateWeekLatest ABA weekly data reference date

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/asinKeywords(完整参数/响应/错误码见 references/api.md)
  • Python 脚本:python scripts/sif_asin_keywords.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):

  • 始终将完整响应写入 <cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-sif-asin-keywords-<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。

解决认证和算力问题

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
  • 响应提示算力或余额不足:消息含"算力余额不足/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。

Parameter Guide

Required Parameter
  • asin (string, required): The Amazon ASIN to look up. Only one ASIN per request.
Optional Parameters
  • country (string, default US): Marketplace code. See Supported Marketplaces above.

  • keyword (string): Filter results to keywords containing this text. Translate the keyword into the language of the target marketplace when possible.

  • timePieceType (string, default latelyDay): Time window type — latelyDay (most recent N days), month (specific month), week (specific week).

  • timePieceValue (string, default 7): Value paired with timePieceType.

    • When timePieceType=latelyDay → only 7 or 30 are supported
    • When timePieceType=month → YYYY-MM (e.g. 2026-04)
    • When timePieceType=week → the week's start date YYYY-MM-DD (e.g. 2026-04-13)
  • conditions (string): Comma-separated condition filters. Flag-style filters:

    • nfPosition -- organic traffic keywords
    • isSpAd -- SP ad keywords
    • isBrandAd -- brand ad keywords
    • isVedioAd -- video ad keywords
    • isAC -- Amazon's Choice keywords
    • isAccurateKw -- precise traffic keywords
    • isAccurateTailKw -- precise long-tail keywords
    • isPurchaseKw -- purchase-converting keywords
    • isQualityKw -- high-quality conversion keywords
    • isStableKw -- stable conversion keywords
    • isLossKw -- conversion-loss keywords
    • isInvalidKw -- invalid-exposure keywords
    • isMultiVariantKw -- keywords ranking organically across multiple variants
    • isSearchVolUpKw -- keywords whose search volume increased year-over-year
    • isSearchVolDownKw -- keywords whose search volume decreased year-over-year

    Period-count filters (all / new-in):

    • totalPeriod.in -- newly-entered traffic keywords this period
    • nfKeywordCnt.total / nfKeywordCnt.in -- keywords with (new) organic exposure
    • adKeywordCnt.total / adKeywordCnt.in -- keywords with (new) ad exposure
    • allSpKeywordCnt.total / allSpKeywordCnt.in -- (new) SP-ad keywords (regular + recommendation)
    • spKeywordCnt.total / spKeywordCnt.in -- (new) SP regular keywords
    • recSpKeywordCnt.total / recSpKeywordCnt.in -- (new) SP recommendation keywords
    • allSbKeywordCnt.total / allSbKeywordCnt.in -- (new) SB-ad keywords
    • sbKeywordCnt.total / sbKeywordCnt.in -- (new) SB regular keywords
    • sbvKeywordCnt.total / sbvKeywordCnt.in -- (new) SBV keywords
  • sortBy (string): Sort field. Options: lastRank (organic rank), adLastRank (ad rank), updateTime (update time), searchesRank (search popularity rank), estSearchesNum (monthly search volume).

  • desc (boolean, default true): Sort in descending order. Set to false for ascending.

  • pageNum (integer, default 1): Page number for pagination.

  • pageSize (integer, default 100, range 10-100): Number of results per page.

Building Effective Queries
  1. Always specify the marketplace: Set country to one of the 13 supported codes.
  2. Pick the right time window: The default is the latest 7 days. Pass timePieceType=month + timePieceValue=YYYY-MM for a specific month, or timePieceType=week + timePieceValue=YYYY-MM-DD for a specific ABA week.
  3. Use keyword filtering: When the user is interested in specific keywords, pass the keyword parameter to narrow results.
  4. Apply condition filters: Use conditions to focus on specific keyword types (e.g., only organic keywords, only purchase-converting keywords, or newly-entered SP keywords via spKeywordCnt.in).
  5. Choose appropriate sorting: Sort by estSearchesNum for highest search volume keywords, or by lastRank for best-ranking keywords.
  6. Handle pagination: The API returns at most 100 results per page. Use pageNum to retrieve additional pages if the total exceeds 100.
Show full SKILL.md (658 more words)Show less

Usage Examples

1. Find all traffic keywords for an ASIN on the US marketplace

asin: "B0XXXXXXXX", country: "US"

2. Find organic traffic keywords only

asin: "B0XXXXXXXX", country: "US", conditions: "nfPosition"

3. Find keywords containing "charger" sorted by search volume (ascending)

asin: "B0XXXXXXXX", country: "US", keyword: "charger", sortBy: "estSearchesNum", desc: false

4. Find high-converting keywords

asin: "B0XXXXXXXX", country: "US", conditions: "isPurchaseKw,isQualityKw"

5. Find SP ad keywords on the Japan marketplace

asin: "B0XXXXXXXX", country: "JP", conditions: "isSpAd", sortBy: "adLastRank", desc: false

6. Find precise long-tail keywords with stable conversion

asin: "B0XXXXXXXX", country: "US", conditions: "isAccurateTailKw,isStableKw"

7. Find newly-entered SP traffic keywords in April 2026

asin: "B0XXXXXXXX", country: "US", timePieceType: "month", timePieceValue: "2026-04", conditions: "spKeywordCnt.in"

8. Find keywords whose search volume is trending up

asin: "B0XXXXXXXX", country: "US", conditions: "isSearchVolUpKw", sortBy: "estSearchesNum", desc: true

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 numeric values mean better (higher) positions.
  3. Share formatting: Display trafficShare, naturalTrafficShare, paidTrafficShare, and clickConcentrationShare as percentages (multiply by 100). For example, 0.05 should be shown as 5%.
  4. Click concentration wording: clickConcentrationShare measures how concentrated clicks are on top ASINs under the keyword — it is NOT a conversion rate. Label it clearly so users don't confuse it with clickToPurchaseConversionRate.
  5. Period disclosure: When showing counts sourced from *.in/*.total filters or comparing numbers, annotate the period range — default is last 7 days; if timePieceType=month or week is set, surface the resolved period (periodEndDate / abaCreateDateWeek).
  6. Marker translation: Translate marker arrays into human-readable labels. For example, ["isMainKw", "isAccurateKw"] should display as "Main Traffic, Precise Traffic".
  7. Display position translation: Translate position type arrays into readable labels: natural = Organic, ac = Amazon's Choice, sp = SP Ad, top = Top Brand Ad, bottom = Bottom Brand Ad, er = Editorial Recommendation, vedio = Video Ad, tr = Top Rated, trfob = Top Rated Frequently Bought.
  8. Pagination notice: When results have more pages, inform the user of the total count and suggest fetching additional pages.
  9. Error handling: When a query fails, explain the reason based on the msg field and suggest adjusting query parameters.
  10. Multi-ASIN requests: If the user asks about multiple ASINs, make separate API calls for each and present the results together.

Important Limitations

  • Single ASIN per request: Only one ASIN can be queried at a time.
  • Page size cap: Maximum 100 results per page.
  • Time window granularity: timePieceType=latelyDay only supports timePieceValue=7 or 30; arbitrary N-day windows are not supported.
  • Marketplace coverage: 13 marketplaces only — IN / NL / SE / PL / TR / SG are no longer available.
  • Keyword language: The keyword filter should ideally be in the language of the target marketplace.

User Expression & Scenario Quick Reference

Applicable -- Keyword analysis for specific Amazon products:

User SaysScenario
"What keywords does this ASIN rank for"Reverse ASIN keyword lookup
"Show me the traffic keywords for B0XXX"Traffic keyword analysis
"What's the organic rank for this product"Organic ranking check
"Which keywords is this product advertising on"Ad keyword analysis
"Find high-converting keywords for this ASIN"Conversion keyword mining
"What are the main traffic sources for this product"Main traffic keyword identification
"Show me keywords with lost conversions"Conversion loss diagnosis
"Which keywords have Amazon's Choice badge"AC keyword discovery
"Compare keyword rankings for my ASIN"Keyword position analysis
"Which new SP keywords did this ASIN get last month"New-in period keyword discovery (spKeywordCnt.in + month window)
"Keywords whose search volume is trending up YoY"Search-volume trend filter (isSearchVolUpKw)
"Is click concentration high on this keyword"ABA TOP3 click concentration read
"Keyword click-to-purchase conversion"Per-keyword conversion check

Not applicable -- Needs beyond single-ASIN keyword lookup:

  • Broad keyword research not tied to a specific ASIN (use ABA data tools instead)
  • Product reviews, listing copywriting
  • Sales estimation, revenue analysis
  • Advertising campaign management (bids, budgets)
  • Category-wide keyword trends without a specific ASIN

算力消耗规则

消耗 9 算力。

用户会因算力消耗而支付费用。请充分评估:当需要高频调用本技能,或用户对算力消耗量预期不足时,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:

  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, 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

Files

SKILL.md and 4 other files (scripts, references) in skills/linkfox-sif-asin-keywords of linkfox-ai/linkfox-skills.

  • SKILL.md
  • references/api.md
  • references/onboarding.md
  • scripts/onboarding.py
  • scripts/sif_asin_keywords.py

Open the folder on GitHubat commit 38fef04

Used in 1 other repository

We found 2 copies 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.

Compare with similar skills

Linkfox Sif Asin Keywords 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.

Linkfox Sif Asin Keywords compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkfox Sif Asin Keywords this skilllinkfox-ai/linkfox-skills1071 repos~4.1kAutomated safety check: PassMIT
SEO Keyword ClusteringAgriciDaniel/claude-seo19k2 repos~3.3kAutomated safety check: PassMIT
Evaluate Skillevery-app/open-seo23k—~1.8kAutomated safety check: NotesMIT
SEO Content Brief GeneratorAgriciDaniel/claude-seo19k2 repos~2.6kAutomated safety check: PassMIT
Blog GoogleAgriciDaniel/claude-blog2.3k1 repos~3.3kAutomated safety check: NotesMIT
FLOW SEO FrameworkAgriciDaniel/claude-seo19k2 repos~1.4kAutomated safety check: PassMIT

Similar skills

  • SEO Keyword Clustering

    AgriciDaniel/claude-seo

    Clusters keywords by how much their search results overlap and designs a hub-and-spoke content plan with an internal link matrix and an interactive cluster map.

    19k GitHub starsUsed in 2 repos~3.3k tokens
    Marketing & SEOAuto-check passed
  • Evaluate Skill

    every-app/open-seo

    Test a candidate OpenSEO skill end to end by running fresh, isolated Codex sessions against the local backend and scoring the reports they save.

    23k GitHub stars~1.8k tokensUpdated 2 days ago
    Marketing & SEOAuto-check: notes
  • SEO Content Brief Generator

    AgriciDaniel/claude-seo

    Builds research-backed SEO content briefs with competitor scoring, per-section word counts and page-type templates, for new pages or improving existing ones.

    19k GitHub starsUsed in 2 repos~2.6k tokens
    Marketing & SEOAuto-check passed
  • Blog Google

    AgriciDaniel/claude-blog

    Google API integration for blog performance: PageSpeed Insights, CrUX Core Web Vitals with 25-week history, Search Console performance, URL Inspection, Indexing API, GA4 organic traffic, NLP entity…

    2.3k GitHub starsUsed in 1 repo~3.3k tokens
    Marketing & SEOAuto-check: notes
  • FLOW SEO Framework

    AgriciDaniel/claude-seo

    Brings the FLOW framework's stage-specific SEO prompts into the agent, from keyword discovery through backlinks, on-page work and conversion to local SEO, loaded on demand.

    19k GitHub starsUsed in 2 repos~1.4k tokens
    Marketing & SEOAuto-check passed
  • SEO Dataforseo

    AgriciDaniel/codex-seo

    Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.

    799 GitHub starsUsed in 2 repos~4.6k tokens
    Marketing & SEOAuto-check passed

More from linkfox-ai/linkfox-skills

All 177 skills in this repo
  • Linkfox 1688 Search By Image

    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…

    107 GitHub starsUsed in 1 repo~2.4k tokens
    Auto-check passed
  • Linkfox Aba Intelligent Query

    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…

    107 GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed
  • Linkfox Amazon Alexa Search

    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…

    107 GitHub starsUsed in 1 repo~3k tokens
    Auto-check passed
  • 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…

    107 GitHub starsUsed in 1 repo~3k tokens
    Auto-check passed
  • Linkfox Amazon Product Detail

    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…

    107 GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed
  • Linkfox Amazon Reviews List

    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…

    107 GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed

Categories

Questions about Linkfox Sif Asin Keywords

What does Linkfox Sif Asin Keywords do?

使用SIF数据反查任意亚马逊ASIN的流量关键词,包括自然排名、广告排名、搜索量、流量占比、自然/付费得分、ABA TOP3点击集中度、点击转化率、搜索量同比涨跌及周/月时间窗。当用户提到ASIN关键词分析、ASIN反查、流量关键词研究、自然排名查询、广告排名查询、关键词位置追踪、SIF关键词数据、竞品关键词窥探、查看哪些关键词为产品带来流量、分析特定ASIN的关键词表现、按周/月/最近N天的关…. Linkfox Sif Asin Keywords is an agent skill from linkfox-ai/linkfox-skills.

When should I use Linkfox Sif Asin Keywords?

Linkfox Sif Asin Keywords fits situations like: tasks that involve Keyword research.

How do I install Linkfox Sif Asin Keywords in Claude Code?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sif-asin-keywords -a claude-code`. Or copy the skill folder (skills/linkfox-sif-asin-keywords in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-sif-asin-keywords in your project. Claude Code loads it when a task matches its description.

How do I install Linkfox Sif Asin Keywords in Codex?

Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sif-asin-keywords -a codex`. Or copy the skill folder (skills/linkfox-sif-asin-keywords in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-sif-asin-keywords in your project. Codex loads it when a task matches its description.

Can I use Linkfox Sif Asin Keywords in Cursor, Gemini CLI or GitHub Copilot?

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-sif-asin-keywords -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-sif-asin-keywords, .gemini/skills/linkfox-sif-asin-keywords, .github/skills/linkfox-sif-asin-keywords and .opencode/skills/linkfox-sif-asin-keywords in your project.

What does Linkfox Sif Asin Keywords need to run?

Going by SKILL.md and its folder, Linkfox Sif Asin Keywords 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.

Does Linkfox Sif Asin Keywords access the network?

SKILL.md names 1 domain. As links in the text: skill.linkfox.com. This is read from the text; nothing was executed.

Is Linkfox Sif Asin Keywords safe to install?

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.

What licence does Linkfox Sif Asin Keywords use?

Linkfox Sif Asin Keywords is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linkfox Sif Asin Keywords use?

About 4.1k tokens (SKILL.md is roughly 16k 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 2.9k tokens, read only when the agent opens those files.

What are the alternatives to Linkfox Sif Asin Keywords?

Skills that share tags, products or a category with Linkfox Sif Asin Keywords: SEO Keyword Clustering (AgriciDaniel/claude-seo, 19k stars), Evaluate Skill (every-app/open-seo, 23k stars), SEO Content Brief Generator (AgriciDaniel/claude-seo, 19k stars) and Blog Google (AgriciDaniel/claude-blog, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkfox Sif Asin Keywords?

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.