SEO Aeo Keyword Research
sickn33/agentic-awesome-skills
Researches and prioritises keywords from the site context and live search intent, including problem queries, question queries, difficulty tiers, and a content map.
使用卖家精灵流量词反查能力,按ASIN查询关键词流量来源、流量占比类型、转化类型、自然位与广告位等指标,支持历史月份与多维排序。当用户提到ASIN反查流量词、流量关键词列表、关键词流量结构、自然词/广告词分析、关键词转化类型、SellerSprite traffic keyword、Amazon traffic keywords、reverse ASIN…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-sellersprite-traffic-keyword -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sellersprite-traffic-keyword --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-sellersprite-traffic-keyword .claude/skills/linkfox-sellersprite-traffic-keyword && 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-sellersprite-traffic-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-traffic-keyword into .claude/skills/linkfox-sellersprite-traffic-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-traffic-keyword", 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-sellersprite-traffic-keywordType 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-sellersprite-traffic-keyword -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sellersprite-traffic-keyword --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-sellersprite-traffic-keyword .agents/skills/linkfox-sellersprite-traffic-keyword && 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-sellersprite-traffic-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-traffic-keyword into .agents/skills/linkfox-sellersprite-traffic-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-traffic-keyword", 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-sellersprite-traffic-keyword -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sellersprite-traffic-keyword --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-sellersprite-traffic-keyword .cursor/skills/linkfox-sellersprite-traffic-keyword && 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-sellersprite-traffic-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-traffic-keyword into .cursor/skills/linkfox-sellersprite-traffic-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-traffic-keyword", 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-sellersprite-traffic-keyword--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-sellersprite-traffic-keyword -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sellersprite-traffic-keyword --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-sellersprite-traffic-keyword .gemini/skills/linkfox-sellersprite-traffic-keyword && 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-sellersprite-traffic-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-traffic-keyword into .gemini/skills/linkfox-sellersprite-traffic-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-traffic-keyword", 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-sellersprite-traffic-keywordInstalls 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-sellersprite-traffic-keyword -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-sellersprite-traffic-keyword .github/skills/linkfox-sellersprite-traffic-keyword && 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-sellersprite-traffic-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-traffic-keyword into .github/skills/linkfox-sellersprite-traffic-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-traffic-keyword", 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-sellersprite-traffic-keyword -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-sellersprite-traffic-keyword --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-sellersprite-traffic-keyword .opencode/skills/linkfox-sellersprite-traffic-keyword && 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-sellersprite-traffic-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sellersprite-traffic-keyword into .opencode/skills/linkfox-sellersprite-traffic-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sellersprite-traffic-keyword", 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-sellersprite-traffic-keyword使用卖家精灵流量词反查能力,按ASIN查询关键词流量来源、流量占比类型、转化类型、自然位与广告位等指标,支持历史月份与多维排序。当用户提到ASIN反查流量词、流量关键词列表、关键词流量结构、自然词/广告词分析、关键词转化类型、SellerSprite traffic keyword、Amazon traffic keywords、reverse ASIN…
Linkfox Sellersprite Traffic Keyword is an agent skill from linkfox-ai/linkfox-skills. 使用卖家精灵流量词反查能力,按ASIN查询关键词流量来源、流量占比类型、转化类型、自然位与广告位等指标,支持历史月份与多维排序。当用户提到ASIN反查流量词、流量关键词列表、关键词流量结构、自然词/广告词分析、关键词转化类型、SellerSprite traffic keyword、Amazon traffic keywords、reverse ASIN keywords时触发此技能。即使用户未明确提及"卖家精灵",只要需求是围绕某个ASIN查看其关键词流量来源与词列表,也应触发此技能。
Its SKILL.md is about 860 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`).
The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 38fef04. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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 Sellersprite Traffic Keyword loads about 863 tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 248 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). 248 words, ~863 tokens.
.claude/skills/linkfox-sellersprite-traffic-keyword/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.This skill helps query and analyze traffic keyword lists for an Amazon ASIN via SellerSprite.
trafficKeywordTypes):主要流量词、精准流量词、以及 schema 中的 preciseLongTail(工具文案为「转化流失词」)等。conversionKeywordTypes):如转化优质词、平稳词、流失词等。badges):如自然搜索词、Amazon Choice 推荐词等。POST /sellersprite/traffic/keyword(完整参数/响应/错误码见 references/api.md)python scripts/sellersprite_traffic_keyword.py '<JSON 参数>' [--inline]输出策略(脚本默认行为):
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-sellersprite-traffic-keyword-<timestamp>.json(<cwd> 为脚本执行时的工作目录,在 Claude Code 里即当前项目目录;<session> 取自环境变量 SESSION_ID,按用户任务自动聚合;禁止写入 /tmp,当前目录不可写则报错)total/costToken、最大列表字段的长度 + 前 3 条样本)--inline 强制全量打印到 stdout(同样落盘)读数据建议:先看摘要判断是否足够;需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取,避免整份 JSON 进入上下文。
发生以下异常情况时,采用 references/onboarding.md 引导解决问题:
LINKFOX_AGENT_API_KEY,也未配置 LINKFOXAGENT_API_KEY。| Parameter | Type | Required | Description |
|---|---|---|---|
| marketplace | string | Yes | 市场站点,默认 US |
| asin | string | Yes | 要反查的商品 ASIN |
| month | string | No | 历史月份,格式 yyyyMM;不传默认最近30天 |
| page | integer | No | 页码,默认 1 |
| size | integer | No | 每页数量,默认 50,最大 100 |
| keyword | string | No | 关键词筛选 |
| badges | string | No | 词标签,多值逗号分隔 |
| trafficKeywordTypes | string | No | 流量占比类型,多值逗号分隔 |
| conversionKeywordTypes | string | No | 转化类型,多值逗号分隔 |
| orderField | string | No | 排序字段,默认 rankPosition |
| orderDesc | boolean | No | 是否倒序,默认 false |
{
"marketplace": "US",
"asin": "B0XXXXXXXXX",
"size": 50,
"orderField": "rankPosition",
"orderDesc": false
}{
"marketplace": "US",
"asin": "B0XXXXXXXXX",
"month": "202507",
"trafficKeywordTypes": "primary,precise",
"conversionKeywordTypes": "excellent,stable",
"page": 1,
"size": 100
}marketplace、asinyyyyMM消耗 15 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:
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
© linkfox-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (scripts, references) in skills/linkfox-sellersprite-traffic-keyword of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
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.
Linkfox Sellersprite Traffic Keyword 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 Sellersprite Traffic Keyword this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~863 | Automated safety check: Pass | MIT | |
| SEO Aeo Keyword Researchsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Keyword Extractorsickn33/agentic-awesome-skills | 47k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Keyword Researchaaron-he-zhu/aaron-marketing-skills | 2.9k | 1 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Keyword ResearchRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~581 | Automated safety check: Pass | MIT | |
| Keyword Stuffingthedaviddias/Front-End-Checklist | 74k | — | ~896 | Automated safety check: Pass | MIT |
sickn33/agentic-awesome-skills
Researches and prioritises keywords from the site context and live search intent, including problem queries, question queries, difficulty tiers, and a content map.
sickn33/agentic-awesome-skills
Extracts up to 50 highly relevant SEO keywords from text. An agent skill from sickn33/agentic-awesome-skills.
aaron-he-zhu/aaron-marketing-skills
A skill your agent uses when the user asks to "find keywords", "挖词", or "搜什么词"; prioritizes search volume, keyword difficulty, intent, and topic clusters from provided or connected data.
Ryze-AI-Adgent/open-seo-mcp-skills
Keyword research from a seed topic — ideas, real Google volume/CPC, intent, difficulty, clustered into a plan.
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing content pages for over-optimisation, reviewing AI-generated content that may repeat target phrases excessively, or checking meta tags and alt text for unnatural…
thedaviddias/Front-End-Checklist
A skill your agent uses when applies to blog posts, product pages, and any content page with editable URL slugs.
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…
使用卖家精灵流量词反查能力,按ASIN查询关键词流量来源、流量占比类型、转化类型、自然位与广告位等指标,支持历史月份与多维排序。当用户提到ASIN反查流量词、流量关键词列表、关键词流量结构、自然词/广告词分析、关键词转化类型、SellerSprite traffic keyword、Amazon traffic keywords、reverse ASIN…. Linkfox Sellersprite Traffic Keyword is an agent skill from linkfox-ai/linkfox-skills.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sellersprite-traffic-keyword -a claude-code`. Or copy the skill folder (skills/linkfox-sellersprite-traffic-keyword in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-sellersprite-traffic-keyword in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sellersprite-traffic-keyword -a codex`. Or copy the skill folder (skills/linkfox-sellersprite-traffic-keyword in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-sellersprite-traffic-keyword 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-sellersprite-traffic-keyword -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-sellersprite-traffic-keyword, .gemini/skills/linkfox-sellersprite-traffic-keyword, .github/skills/linkfox-sellersprite-traffic-keyword and .opencode/skills/linkfox-sellersprite-traffic-keyword in your project.
Going by SKILL.md and its folder, Linkfox Sellersprite Traffic Keyword 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 contains no URLs. Any network use would come from the scripts or tools the agent runs. 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 Sellersprite Traffic Keyword is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 863 tokens (SKILL.md is roughly 3.5k 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 2.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linkfox Sellersprite Traffic Keyword: SEO Aeo Keyword Research (sickn33/agentic-awesome-skills, 47k stars), Keyword Extractor (sickn33/agentic-awesome-skills, 47k stars), Keyword Research (aaron-he-zhu/aaron-marketing-skills, 2.9k stars) and Keyword Research (Ryze-AI-Adgent/open-seo-mcp-skills, 4.7k 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.