Ad Creative
LeoYeAI/openclaw-marketing-skills
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform.
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…
Install Linkfox Sif Asin Summary
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-sif-asin-summary -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sif-asin-summary --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-sif-asin-summary .claude/skills/linkfox-sif-asin-summary && 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-sif-asin-summary" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sif-asin-summary into .claude/skills/linkfox-sif-asin-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sif-asin-summary", 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-sif-asin-summaryType 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-sif-asin-summary -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sif-asin-summary --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-sif-asin-summary .agents/skills/linkfox-sif-asin-summary && 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-sif-asin-summary" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sif-asin-summary into .agents/skills/linkfox-sif-asin-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sif-asin-summary", 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-sif-asin-summary -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sif-asin-summary --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-sif-asin-summary .cursor/skills/linkfox-sif-asin-summary && 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-sif-asin-summary" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sif-asin-summary into .cursor/skills/linkfox-sif-asin-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sif-asin-summary", 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-sif-asin-summary--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-sif-asin-summary -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sif-asin-summary --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-sif-asin-summary .gemini/skills/linkfox-sif-asin-summary && 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-sif-asin-summary" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sif-asin-summary into .gemini/skills/linkfox-sif-asin-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sif-asin-summary", 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-sif-asin-summaryInstalls 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-sif-asin-summary -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-sif-asin-summary .github/skills/linkfox-sif-asin-summary && 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-sif-asin-summary" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sif-asin-summary into .github/skills/linkfox-sif-asin-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sif-asin-summary", 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-sif-asin-summary -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-sif-asin-summary --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-sif-asin-summary .opencode/skills/linkfox-sif-asin-summary && 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-sif-asin-summary" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sif-asin-summary into .opencode/skills/linkfox-sif-asin-summary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sif-asin-summary", 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.
Facts
- Skill name
linkfox-sif-asin-summary- GitHub stars
- 107
- Used in
- 1 other repo
- Token cost
- ~4.3k tokens
- SKILL.md length
- 1,921 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
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…
- Works in 7 steps: Present data clearly: Show query results… → Percentage formatting: When displaying… → Traffic structure summary: When a user… → …
- Tasks that involve Paid advertising
- 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 Summary is an agent skill from linkfox-ai/linkfox-skills. 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。
Its SKILL.md is about 4.3k 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 Paid advertising. The licence is MIT.
When your agent uses it
- Tasks that involve Paid advertising
Example prompts
- “/linkfox-sif-asin-summary”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Present data clearly: Show query results in well-structured tables; separate product metadata, current-period scores, keyword counts, and…
- Percentage formatting: When displaying exposure ratios, format them as percentages (e.g., 0.45 as 45.0%) for easier comprehension
- Traffic structure summary: When a user queries a single ASIN, proactively summarize the traffic structure (e.g., "65% organic, 25% SP ads…
- Period annotation: Whenever showing *In / *Out / *Prev fields, label the period explicitly (e.g., "vs. previous 7 days"; or the resolved…
- Competitor comparison layout: When multiple ASINs are queried, use a side-by-side comparison table so differences are immediately visible
- Error handling: When a query fails, explain the reason based on the msg field and suggest checking the ASIN validity or marketplace…
- Variant awareness: If isVariantProduct is true, note that the ASIN is a variant and the user may want to also check the parent ASIN for a…
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_KEYLINKFOXAGENT_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Linkfox Sif Asin Summary loads about 4.3k tokens when it runs, and up to ~7.5k if it reads all its reference files. Until then it costs about 118 tokens; SKILL.md has 1,921 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.
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). 1,921 words, ~4,281 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-sif-asin-summary/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-summary
- description
- 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。
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 01 or 0100 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).
| Field | API Name | Description |
|---|---|---|
| ASIN | asin | Amazon Standard Identification Number |
| Product Title | productTitle | Full product title on Amazon |
| Product Category | productCategory | Product category on Amazon |
| Product Price | productPrice | Current listing price |
| Product Image URL | productImageUrl | Main product image link |
| Product Features | productFeatures | Bullet-point product features list |
| Customer Rating Count | customerRatingCount | Total number of customer ratings |
| Product Star Rating | productStarRating | Product star rating (0–5) |
| Product Rating Score | productRatingScore | Product rating score (0–5, as shown on Amazon) |
| Is Variant Product | isVariantProduct | Whether the ASIN is a variant (e.g., different color/size) |
| Recent Monthly Sales Bucket | recentMonthlySalesBucket | Bucketed last-month sales (e.g. "300+", "1,000+") — only populated for keywordSummary path |
| Is Monitored | isMonitored | Whether the ASIN is on the monitoring list |
| Monitoring Start Time | monitoringStartTime | When the ASIN was added to monitoring |
| Data Period Start Date | dataPeriodStartDate | Start date of the returned data period (yyyy-MM-dd) |
| Total Exposure Score | totalExposureScore | Composite exposure score across all channels |
| Total Exposure Score Prev | totalExposureScorePrev | Total exposure score in the previous period |
| Total Traffic Keyword Count | totalTrafficKeywordCount | Total keywords across all channels |
| Total Keywords In / Out / Prev | totalTrafficKeywordCountIn / Out / Prev | New / exited / previous-period counterparts |
| Natural Search Exposure Score | naturalSearchExposureScore | Exposure score from organic search |
| Natural Search Exposure Ratio | naturalSearchExposureRatio | Organic search share of total exposure |
| Natural Search Exposure Score Prev | naturalSearchExposureScorePrev | Previous-period organic exposure score |
| Natural Search Keyword Count | naturalSearchKeywordCount | Keywords found in organic search results |
| Natural Keywords In / Out / Prev | naturalSearchKeywordCountIn / Out / Prev | New / exited / previous-period counterparts |
| SP Ad Exposure Score | sponsoredProductsExposureScore | Exposure score from Sponsored Products ads |
| SP Ad Exposure Ratio | sponsoredProductsExposureRatio | SP ad share of total exposure |
| SP Ad Exposure Score Prev | sponsoredProductsExposureScorePrev | Previous-period SP exposure score |
| SP Ad Keyword Count | sponsoredProductsKeywordCount | Keywords with SP ad placements |
| Brand Ad Exposure Score | brandAdExposureScore | Exposure score from brand ads |
| Brand Ad Exposure Ratio | brandAdExposureRatio | Brand ad share of total exposure |
| Brand Ad Exposure Score Prev | brandAdExposureScorePrev | Previous-period brand ad exposure score |
| Brand Ad Keyword Count | brandAdKeywordCount | Total brand ad keywords |
| Top Brand Ad Keyword Count | topBrandAdKeywordCount | Keywords in top-of-page brand ads |
| Bottom Brand Ad Keyword Count | bottomBrandAdKeywordCount | Keywords in bottom-of-page brand ads |
| Video Ad Exposure Score | videoAdExposureScore | Exposure score from video ads |
| Video Ad Exposure Ratio | videoAdExposureRatio | Video ad share of total exposure |
| Video Ad Exposure Score Prev | videoAdExposureScorePrev | Previous-period video ad exposure score |
| Video Ad Keyword Count | videoAdKeywordCount | Keywords with video ad placements |
| Amazon's Choice Exposure Score | amazonsChoiceExposureScore | Exposure score from AC badge |
| Amazon's Choice Exposure Ratio | amazonsChoiceExposureRatio | AC share of total exposure |
| Amazon's Choice Exposure Score Prev | amazonsChoiceExposureScorePrev | Previous-period AC exposure score |
| Amazon's Choice Keyword Count | amazonsChoiceKeywordCount | Keywords with AC badge |
| AC Keywords In / Out | amazonsChoiceKeywordCountIn / Out | New / exited AC keywords this period |
| Editorial Recommendations Exposure Score | editorialRecommendationsExposureScore | Exposure from editorial recommendations |
| Editorial Recommendations Exposure Ratio | editorialRecommendationsExposureRatio | ER share of total exposure |
| Editorial Recommendations Keyword Count | editorialRecommendationsKeywordCount | Keywords with ER placements |
| Top Rated Exposure Score | topRatedExposureScore | Exposure from Top Rated recommendations |
| Top Rated Exposure Ratio | topRatedExposureRatio | TR share of total exposure |
| Top Rated Keyword Count | topRatedKeywordCount | Keywords with TR placements |
| Frequently Bought Keyword Count | frequentlyBoughtKeywordCount | Keywords in frequently-bought recommendations |
| Recommend Position Exposure Score | recommendPositionExposureScore | Total recommendation-position exposure score |
| Recommend Ad Exposure Score | recommendAdExposureScore | Ad portion of recommendation-position exposure |
| Recommend Non-ad Exposure Score | recommendNonadExposureScore | Non-ad portion of recommendation-position exposure |
| Non-AC Recommend Exposure Score | nonAcRecommendExposureScore | Recommendation-position exposure excluding AC slots |
| Recommend Keyword Count | recommendKeywordCount | Total recommendation-position keywords |
| Recommend Ad Keyword Count | recommendAdKeywordCount | Ad portion of recommendation keywords |
| Recommend Non-ad Keyword Count | recommendNonadKeywordCount | Non-ad portion of recommendation keywords |
| PPC Traffic Sources | ppcTrafficSources | List of paid ad types (SP, Top Brand Ad, Bottom Brand Ad, Video Ad) |
| Natural Search Traffic Sources | naturalSearchTrafficSources | Organic search type markers |
| Amazon Recommendation Sources | amazonRecommendationSources | Recommendation types (Best Seller, AC, ER, TR, TRFOB, etc.) |
| Promotional Deal Sources | promotionalDealSources | Active 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）：
- 始终将完整响应写入
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-sif-asin-summary-<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
searchValue (required)
One or more ASIN codes separated by commas. Maximum 10 ASINs per request.
- Single ASIN:
B0XXXXXXXX - Multiple ASINs:
B0XXXXXXXX,B0YYYYYYYY,B0ZZZZZZZZ
country (optional)
Marketplace code. Defaults to US. See the Supported Marketplaces section for all valid codes.
Time window (optional)
last7d(boolean, defaulttrue): Use the latest 7 days. Whenfalse, the API usesstartDate/endDateto define the window.startDate(string,yyyy-MM-dd): Start date for a custom window. Takes effect whenlast7d=false; if omitted, the system's latest ABA week is used.endDate(string,yyyy-MM-dd): End date paired withstartDate.
conditions (optional)
Comma-separated traffic-channel filters. Only returns ASIN-summary rows that have traffic from at least one of the listed channels. Valid values:
nf— natural searchsp— SP adssb— SB regularsbv— video ads (SBV)ad— any ad trafficacAd— SP recommendationtotalPeriod.in— newly-entered traffic keywords this period
sortBy (optional)
Sort field. Leave empty for system default. Valid values:
totalKeywordNum (total keyword count), naturalKeywordNum (natural keyword count), brandKeywordNum (brand ad keyword count), vedioKeywordNum (video ad keyword count), acKeywordNum (AC keyword count), erKeywordNum (ER keyword count), trKeywordNum (TR keyword count), sumScore (all-keyword total exposure), totalNfScore (all natural exposure), totalSpSocre (all SP exposure; note the spelling), totalBrandScore (all brand ad exposure), totalVedioScore (all video ad exposure), totalAcScore (all AC exposure), totalTrScore (all TR exposure), totalErScore (all ER exposure).
Pagination
pageNum: Page number, defaults to 1pageSize: Results per page, minimum 10, maximum 10000, defaults to 10000
Show full SKILL.md (760 more words)Show less
Sorting
desc: Sort in descending order whentrue(default), ascending whenfalse
Usage Examples
1. Single ASIN traffic breakdown
"Show me the traffic sources for B09V3KXJPB on the US marketplace"
Query with searchValue = "B09V3KXJPB", country = "US".
2. Multi-ASIN competitor comparison
"Compare traffic structures of B09V3KXJPB and B0BN1K7WJP on Amazon US"
Query with searchValue = "B09V3KXJPB,B0BN1K7WJP", country = "US".
3. Specific marketplace query
"Analyze traffic sources for B07XJ8C8F5 on Amazon Japan"
Query with searchValue = "B07XJ8C8F5", country = "JP".
4. Organic vs paid traffic analysis
"What percentage of B09V3KXJPB's exposure comes from organic search vs ads?"
Query the ASIN, then compare naturalSearchExposureRatio against sponsoredProductsExposureRatio, brandAdExposureRatio, and videoAdExposureRatio.
5. Ad channel deep-dive
"How many keywords does B0BN1K7WJP advertise on through SP, brand ads, and video ads?"
Query the ASIN and present sponsoredProductsKeywordCount, brandAdKeywordCount, topBrandAdKeywordCount, bottomBrandAdKeywordCount, and videoAdKeywordCount.
6. Period-over-period comparison
"How did this ASIN's total keywords change compared to last week?"
Query the ASIN and present totalTrafficKeywordCount (current), totalTrafficKeywordCountPrev (previous), totalTrafficKeywordCountIn (new this period), totalTrafficKeywordCountOut (exited this period). Do the same for the natural-search variant with the naturalSearchKeywordCount* family.
7. Custom date range
"Traffic structure for B0XXX between 2026-03-08 and 2026-03-14"
searchValue: "B0XXX", country: "US", last7d: false, startDate: "2026-03-08", endDate: "2026-03-14"8. Filter by traffic channel and sort by SP exposure
"Top SP-running ASINs among my 10 products, sorted by SP exposure"
searchValue: "B0A,B0B,...,B0J", conditions: "sp", sortBy: "totalSpSocre", desc: trueDisplay Rules
- Present data clearly: Show query results in well-structured tables; separate product metadata, current-period scores, keyword counts, and period-over-period comparison columns into logical groups for readability
- Percentage formatting: When displaying exposure ratios, format them as percentages (e.g., 0.45 as 45.0%) for easier comprehension
- Traffic structure summary: When a user queries a single ASIN, proactively summarize the traffic structure (e.g., "65% organic, 25% SP ads, 10% brand ads") to give an at-a-glance overview
- Period annotation: Whenever showing
*In/*Out/*Prevfields, label the period explicitly (e.g., "vs. previous 7 days"; or the resolvedstartDate ~ endDaterange). Do not present period-over-period deltas without naming the comparison window. - Competitor comparison layout: When multiple ASINs are queried, use a side-by-side comparison table so differences are immediately visible
- Error handling: When a query fails, explain the reason based on the
msgfield and suggest checking the ASIN validity or marketplace selection - Variant awareness: If
isVariantProductis true, note that the ASIN is a variant and the user may want to also check the parent ASIN for a complete picture.
Important Limitations
- ASIN cap per request: Maximum 10 ASINs can be queried in a single call
- Page size cap: Maximum 10000 results per page
- Marketplace coverage: 13 marketplaces only — IN / NL / SE / PL / TR / SG are no longer available
- Snapshot vs window: Default window is the latest 7 days (
last7d=true). To query a different window, setlast7d=falseand passstartDate/endDate - Exposure scores are relative: Scores are useful for cross-channel and cross-ASIN comparison, but are not absolute traffic volumes
User Expression & Scenario Quick Reference
Applicable -- Traffic source and exposure analysis for Amazon ASINs:
| User Says | Scenario |
|---|---|
| "Where does this ASIN's traffic come from" | Traffic source breakdown |
| "How much organic traffic does this product have" | Natural search exposure analysis |
| "Is this competitor running a lot of ads" | SP/brand/video ad exposure check |
| "Compare traffic structures of these ASINs" | Multi-ASIN competitor comparison |
| "Does this product have Amazon's Choice" | AC/ER/TR recommendation check |
| "What ad channels is this ASIN using" | PPC traffic source identification |
| "How many keywords does this ASIN rank for" | Traffic keyword count analysis |
| "Is this product relying on paid or organic traffic" | Organic vs paid traffic split |
| "How did keywords change vs last week" | Period-over-period comparison (In/Out/Prev) |
| "How many new organic keywords did this ASIN get" | New-in keyword count (naturalSearchKeywordCountIn) |
| "Pull the numbers for a specific date range" | Custom time window via startDate/endDate |
| "Rank 10 ASINs by SP exposure" | sortBy=totalSpSocre across a batch |
Not applicable -- Needs beyond ASIN traffic source data:
- Arbitrary multi-week historical trend curves (this tool exposes current + previous period only; use ABA data for long trends)
- Keyword-level search volume or ranking data for the ASIN (use ABA data or the ASIN-keywords tool instead)
- Sales estimation or revenue analysis
- Listing optimization or copywriting
- Advertising bid or budget recommendations
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:
- 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.
© 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-summary of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/onboarding.py
- scripts/sif_asin_summary.py
Open the folder on GitHubat commit 38fef04
Used in 1 other repository
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.
Compare with similar skills
Linkfox Sif Asin Summary 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 Sif Asin Summary this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Ad CreativeLeoYeAI/openclaw-marketing-skills | 1k | 8 repos | ~3.4k | Automated safety check: Pass | Custom licence | |
| Blog GoogleAgriciDaniel/claude-blog | 2.3k | 1 repos | ~3.3k | Automated safety check: Notes | MIT | |
| Ad Account Auditoraaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Ad Creative Builderaaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Ad Test Designeraaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 |
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Questions about Linkfox Sif Asin Summary
What does Linkfox Sif Asin Summary do?
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…. Linkfox Sif Asin Summary is an agent skill from linkfox-ai/linkfox-skills.
When should I use Linkfox Sif Asin Summary?
Linkfox Sif Asin Summary fits situations like: tasks that involve Paid advertising.
How do I install Linkfox Sif Asin Summary in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sif-asin-summary -a claude-code`. Or copy the skill folder (skills/linkfox-sif-asin-summary in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-sif-asin-summary in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Sif Asin Summary in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sif-asin-summary -a codex`. Or copy the skill folder (skills/linkfox-sif-asin-summary in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-sif-asin-summary in your project. Codex loads it when a task matches its description.
Can I use Linkfox Sif Asin Summary 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-summary -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-summary, .gemini/skills/linkfox-sif-asin-summary, .github/skills/linkfox-sif-asin-summary and .opencode/skills/linkfox-sif-asin-summary in your project.
What does Linkfox Sif Asin Summary need to run?
Going by SKILL.md and its folder, Linkfox Sif Asin Summary 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 Summary 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 Summary 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 Summary use?
Linkfox Sif Asin Summary 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 Summary use?
About 4.3k tokens (SKILL.md is roughly 17k 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 3.2k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Sif Asin Summary?
Skills that share tags, products or a category with Linkfox Sif Asin Summary: Ad Creative (LeoYeAI/openclaw-marketing-skills, 1k stars), Blog Google (AgriciDaniel/claude-blog, 2.3k stars), Ad Account Auditor (aaron-he-zhu/aaron-marketing-skills, 2.9k stars) and Ad Creative Builder (aaron-he-zhu/aaron-marketing-skills, 2.9k 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 Summary?
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.