Data Table Manager
n8n-io/n8n
Load before calling data-tables or parse-file. An agent skill from n8n-io/n8n.
亚马逊广告 Sponsored Products(SP)洞察报告技能,统一获取 Audience 受众细分表现和 Search Term Impression Share/Rank 搜索词展示份额/排名两类 Amazon Ads Reporting API v1 beta 报告。自动完成 profile 到 advertiser account 映射、报告创建、状态轮询、多分片 CSV…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-ads-sp-insights-report -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-ads-sp-insights-report --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-amazon-ads-sp-insights-report .claude/skills/linkfox-amazon-ads-sp-insights-report && 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-amazon-ads-sp-insights-report" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-ads-sp-insights-report into .claude/skills/linkfox-amazon-ads-sp-insights-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-ads-sp-insights-report", 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-amazon-ads-sp-insights-reportType 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-amazon-ads-sp-insights-report -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-ads-sp-insights-report --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-amazon-ads-sp-insights-report .agents/skills/linkfox-amazon-ads-sp-insights-report && 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-amazon-ads-sp-insights-report" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-ads-sp-insights-report into .agents/skills/linkfox-amazon-ads-sp-insights-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-ads-sp-insights-report", 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-amazon-ads-sp-insights-report -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-ads-sp-insights-report --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-amazon-ads-sp-insights-report .cursor/skills/linkfox-amazon-ads-sp-insights-report && 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-amazon-ads-sp-insights-report" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-ads-sp-insights-report into .cursor/skills/linkfox-amazon-ads-sp-insights-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-ads-sp-insights-report", 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-amazon-ads-sp-insights-report--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-amazon-ads-sp-insights-report -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-ads-sp-insights-report --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-amazon-ads-sp-insights-report .gemini/skills/linkfox-amazon-ads-sp-insights-report && 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-amazon-ads-sp-insights-report" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-ads-sp-insights-report into .gemini/skills/linkfox-amazon-ads-sp-insights-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-ads-sp-insights-report", 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-amazon-ads-sp-insights-reportInstalls 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-amazon-ads-sp-insights-report -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-amazon-ads-sp-insights-report .github/skills/linkfox-amazon-ads-sp-insights-report && 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-amazon-ads-sp-insights-report" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-ads-sp-insights-report into .github/skills/linkfox-amazon-ads-sp-insights-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-ads-sp-insights-report", 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-amazon-ads-sp-insights-report -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-amazon-ads-sp-insights-report --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-amazon-ads-sp-insights-report .opencode/skills/linkfox-amazon-ads-sp-insights-report && 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-amazon-ads-sp-insights-report" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-ads-sp-insights-report into .opencode/skills/linkfox-amazon-ads-sp-insights-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-ads-sp-insights-report", 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-amazon-ads-sp-insights-report亚马逊广告 Sponsored Products(SP)洞察报告技能,统一获取 Audience 受众细分表现和 Search Term Impression Share/Rank 搜索词展示份额/排名两类 Amazon Ads Reporting API v1 beta 报告。自动完成 profile 到 advertiser account 映射、报告创建、状态轮询、多分片 CSV…
Linkfox Amazon Ads Sp Insights Report is an agent skill from linkfox-ai/linkfox-skills. 亚马逊广告 Sponsored Products(SP)洞察报告技能,统一获取 Audience 受众细分表现和 Search Term Impression Share/Rank 搜索词展示份额/排名两类 Amazon Ads Reporting API v1 beta 报告。自动完成 profile 到 advertiser account 映射、报告创建、状态轮询、多分片 CSV 下载和落盘。只有用户明确要求 SP 受众报告、SP 搜索词展示份额或展示份额排名时触发;普通 SP 搜索词表现报告、SB/SD/DSP 报告不得触发。本技能依赖 linkfox-amazon-ads-auth。
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `references/sp-audience-reporting-v1.md`).
It sits in Documents & Office, covering CSV and tabular files. The licence is MIT.
3 steps, taken from the step headings 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 5 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 Amazon Ads Sp Insights Report loads about 2.3k tokens when it runs, and up to ~7.2k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 700 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). 700 words, ~2,297 tokens.
.claude/skills/linkfox-amazon-ads-sp-insights-report/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.两类 Sponsored Products 专项报告一站式获取:脚本经 developerProxy 传 profileId(服务端解析 token),自动完成 advertiser account 映射、报告创建、等待(通常约 2–10 分钟)、多分片 CSV 下载和落盘。
脚本使用 Amazon Reporting API v1 beta 允许的固定字段组合,不接受调用方自由拼接字段。Audience 与 Search Term Impression Share/Rank 的完整字段依据分别见 references/sp-audience-reporting-v1.md 和 references/sp-search-impression-share-v1.md。
依赖 linkfox-amazon-ads-auth(脚本启动自动检查;未安装时 exit 42,stderr 打 DEPENDENCY_MISSING)。
用户经常只说自然语言(“美国站”“日本站”“我的店铺”),本 Skill 的所有入口都必须拿到数字 profileId 才能调用。按下列顺序处理,不要跳过:
linkfox-amazon-ads-auth 的 authorized_stores.py,拉出用户已授权的账号 × 站点清单。countryCode:profileId;不要向用户播报该数字。accountName 向用户确认,禁止默认选择第一个。linkfox-amazon-ads-auth 完成授权。profileId 数字。完整决策表见 linkfox-amazon-ads-auth SKILL.md 的多账号场景说明。
POST /amazonAds/developerProxy(脚本内部按顺序调用三个 Ads v1 路径;完整参数/响应/错误码见 references/api.md)python scripts/<脚本名>.py '<JSON 参数>' [--inline] [--no-cache](可用脚本见下文)输出策略(脚本默认行为):
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-amazon-ads-sp-insights-report-<timestamp>.json(<cwd> 为脚本执行时的工作目录;<session> 取自环境变量 SESSION_ID;禁止写入 /tmp,当前目录不可写则报错)data/;最终响应不暴露 Amazon 预签名 URL--inline 强制全量打印到 stdout(同样落盘);加 --no-cache 强制重新获取读数据建议:先看摘要和 preview;响应 JSON 用 jq / ConvertFrom-Json 按需抽取,完整报告行从 dataFiles[].path 指向的文件用 CSV 工具或 Import-Csv 读取,避免整份报告进入上下文。
发生以下情况时,按 references/onboarding.md 引导解决:
LINKFOX_AGENT_API_KEY,也未配置 LINKFOXAGENT_API_KEYreporting_v1_workflow.py;不要直接执行共享模块fields、groupBy 或自由过滤条件;脚本按对应 reference 构造 Amazon 官方兼容字段组合profileId 用于后端选择当前用户授权;advertiserAccountId 默认由脚本查询并映射linkfox-amazon-ads-report 的 spSearchTerm,不是本 Skill| 脚本 | 职责 |
|---|---|
get_sp_audience_report.py | 一站式获取 SP Audience 受众细分表现;支持 ACCOUNT / CAMPAIGN / AD_GROUP 粒度 |
get_sp_search_impression_share.py | 一站式获取 SP 搜索词展示份额与展示份额排名 |
check_auth_dependency.py | 检测 linkfox-amazon-ads-auth 是否安装 |
完整参数、内部调用链和响应结构见 references/api.md。选择 Audience 时读 references/sp-audience-reporting-v1.md;选择 Search Impression Share 时读 references/sp-search-impression-share-v1.md。
Agent 收到“SP 受众”或“SP 搜索词展示份额”需求时,必须按下列顺序:
get_sp_audience_report.py;展示份额/排名使用 get_sp_search_impression_share.py。一次只调用一个入口。profileId 和 region;多候选时先向用户确认账号。startDate / endDate。未指定 timeUnit 时使用 DAILY;Audience 未指定 detailLevel 时使用 ACCOUNT。success=true 时展示报告类型、日期、总行数、预览和全部文件路径;totalRows=0 是合法空报告。status=STILL_PROCESSING 不是失败。先向用户确认是否继续,再使用 resumeHint.params 和 --no-cache 轮询同一 reportId,禁止创建重复报告。| 条件 | 默认规则 |
|---|---|
| 报告类型 | 根据用户意图二选一;不同时拉取两类报告 |
startDate / endDate | 不擅自猜测;用户未给日期时先询问 |
timeUnit | DAILY |
Audience detailLevel | ACCOUNT |
advertiserAccountId | 不传,由脚本根据 profileId 自动映射 |
pollInterval | 60 秒 |
maxAttempts | 10;形成约 10 分钟客户端等待窗口 |
| 字段与过滤 | 使用脚本固定的官方兼容组合,不接受自定义 |
python scripts/get_sp_audience_report.py '{
"profileId": 1234567890, "region": "NA",
"startDate": "2026-08-01", "endDate": "2026-08-07",
"timeUnit": "DAILY", "detailLevel": "ACCOUNT"
}'python scripts/get_sp_search_impression_share.py '{
"profileId": 1234567890, "region": "NA",
"startDate": "2026-08-01", "endDate": "2026-08-07",
"timeUnit": "DAILY"
}'根据原报告类型继续使用原入口;仅传 profileId、region、reportId 和轮询参数:
python scripts/get_sp_search_impression_share.py '{
"profileId": 1234567890, "region": "NA",
"reportId": "REPORT_ID",
"pollInterval": 60, "maxAttempts": 20
}' --no-cache成功:
{
"success": true,
"status": "COMPLETED",
"reportId": "report-id",
"reportKind": "audience",
"totalRows": 42,
"dataFiles": [{"part": 1, "path": "C:/.../part-01.csv", "rowCount": 42}],
"preview": [{"audienceSegment.name": "In-market ..."}],
"pollAttempts": 2,
"elapsedSeconds": 60.2
}success=false,并包含 error、脱敏后的 details 和 _cacheable=false。status=STILL_PROCESSING,并包含原 reportId、resumeHint.mode=poll-only、resumeHint.params 和 _cacheable=false。reportId;禁止因为等待较久创建重复报告| 状态 | 含义 | 建议 |
|---|---|---|
Missing or invalid parameter | 缺少 profile、region 或创建日期 | 补齐对应 reference 要求的参数后再调 |
Unsupported parameter(s) | 传了本报告不支持的字段或维度 | 删除不支持参数;不要绕过脚本固定字段组合 |
HTTP 401 | LinkFox Key 或 Amazon Ads 授权失效 | LinkFox 401 走 onboarding;上游 401 使用 Ads Auth 刷新授权 |
HTTP 403 | 当前 Ads 应用或账号未开放 Reporting API v1 | 检查 Ads API 应用与授权账号权限;不得用 v3 数据伪造结果 |
HTTP 429 | Amazon Ads 上游限流 | 保持每分钟级轮询,不密集重试 |
status=FAILED | Amazon 报告生成失败 | 透传失败详情,不自动更换参数重建 |
status=STILL_PROCESSING | 客户端等待窗口结束,但报告仍在生成 | 不是失败;向用户确认后用 resumeHint.params 继续原 reportId |
totalRows=0 | 报告成功但当期无数据 | 合法空结果,不自动扩大日期或切换账号 |
| exit 42 | 依赖 Skill 未安装 | 先安装或加载 linkfox-amazon-ads-auth |
startDate / endDate 必须使用 YYYY-MM-DD,且 startDate <= endDateendDate 不得晚于今天;使用当天可能得到尚未完整的数据,优先选择昨天或更早日期DAILY 返回 date.value;SUMMARY 返回 dateRange.valuesearchTerm.value、metric.impressionShare 和 metric.impressionShareRankdataFileslinkfox-amazon-ads-report 的 spSearchTermlinkfox-amazon-ads-reportlinkfox-amazon-ads-managerlinkfox-amazon-ads-auth同一广告账号/profile 连续收到 Amazon Ads API 的 400、403、404 或 429 时,网关会返回 450、453、454 或 459 并短暂冷却。这些自定义状态码不是 Amazon 原生状态,也不表示封号;目的是避免持续异常或高频调用扩大广告账号风险。
| 状态与 message | 范围 | 触发与冷却 | 处理 |
|---|---|---|---|
450:400,请求异常,请优化您的参数 | 广告账号/profile+接口 | 60 秒内超过 3 次:5 分钟;10 分钟内超过 4 次:20 分钟 | 停止原参数重试,检查 profileId、region、实体/报告 ID、日期和请求体 |
453:403,店铺未授权,请先授权 | 广告账号/profile 全部接口 | 60 秒内超过 2 次:5 分钟;10 分钟内超过 4 次:30 分钟 | 停止该广告账号调用,检查 Ads 授权、应用权限、profile 归属和区域 |
454:404,资源不存在,请优化您的参数 | 广告账号/profile+接口 | 60 秒内超过 3 次:5 分钟;10 分钟内超过 4 次:30 分钟 | 确认资源 ID、所属 profile/区域、资源状态和接口路径 |
459:429限流中,请降低频率 | 广告账号/profile+接口 | 首次:15 秒;2 分钟内超过 2 次:30 秒;3 分钟内超过 4 次:2 分钟 | 降低并发、分页和轮询频率并逐级退避 |
retryAfter、blockedUntil,没有时按表中时长说明。reportId 等任务 ID;写操作结果不确定时先查询状态,不直接重放。不消耗算力。
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, visit 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 9 other files (scripts, references) in skills/linkfox-amazon-ads-sp-insights-report of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
Linkfox Amazon Ads Sp Insights Report 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 Amazon Ads Sp Insights Report this skilllinkfox-ai/linkfox-skills | 107 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Data Table Managern8n-io/n8n | 207k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Abuse Hunternexu-io/harness-engineering-guide | 664 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Intelligence Requirements BuilderTracecatHQ/tracecat | 3.8k | — | ~6k | Automated safety check: Pass | MIT | |
| Markitshift-labs-ai/markit | 1.3k | — | ~299 | Automated safety check: Pass | MIT |
n8n-io/n8n
Load before calling data-tables or parse-file. An agent skill from n8n-io/n8n.
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
nexu-io/harness-engineering-guide
Detect and investigate bulk registration abuse on SaaS platforms.
TracecatHQ/tracecat
Turns a vague, high-level stakeholder ask into a structured set of intelligence requirements for a CTI team, complete with Essential Elements of Information, collection guidance, success criteria…
shift-labs-ai/markit
Convert files and URLs to Markdown. An agent skill from shift-labs-ai/markit.
tradermonty/claude-trading-skills
This skill should be used when analyzing sector rotation patterns and market cycle positioning.
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…
Categories
亚马逊广告 Sponsored Products(SP)洞察报告技能,统一获取 Audience 受众细分表现和 Search Term Impression Share/Rank 搜索词展示份额/排名两类 Amazon Ads Reporting API v1 beta 报告。自动完成 profile 到 advertiser account 映射、报告创建、状态轮询、多分片 CSV…. Linkfox Amazon Ads Sp Insights Report is an agent skill from linkfox-ai/linkfox-skills.
Linkfox Amazon Ads Sp Insights Report fits situations like: tasks that involve CSV and tabular files.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-ads-sp-insights-report -a claude-code`. Or copy the skill folder (skills/linkfox-amazon-ads-sp-insights-report in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-amazon-ads-sp-insights-report in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-ads-sp-insights-report -a codex`. Or copy the skill folder (skills/linkfox-amazon-ads-sp-insights-report in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-amazon-ads-sp-insights-report 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-amazon-ads-sp-insights-report -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-amazon-ads-sp-insights-report, .gemini/skills/linkfox-amazon-ads-sp-insights-report, .github/skills/linkfox-amazon-ads-sp-insights-report and .opencode/skills/linkfox-amazon-ads-sp-insights-report in your project.
Going by SKILL.md and its folder, Linkfox Amazon Ads Sp Insights Report 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 Amazon Ads Sp Insights Report is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.2k 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 4.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linkfox Amazon Ads Sp Insights Report: Data Table Manager (n8n-io/n8n, 207k stars), Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Abuse Hunter (nexu-io/harness-engineering-guide, 664 stars) and Intelligence Requirements Builder (TracecatHQ/tracecat, 3.8k 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.