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.
Seerfar Ozon 市场热词搜索:按搜索热度、增长、商品数、卖家数、竞品数、价格、销量、转化集中度等多维指标筛选 Ozon(及 Wildberries)市场关键词,返回每个关键词的月搜热度、增长、市场空间、竞品/卖家数、均价、加购转化、Top 商品等市场画像,用于 Ozon 选词、蓝海词挖掘与市场机会分析。当用户提到 Ozon 热词、Ozon 关键词市场分析、Ozon 选词、Ozon…
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-seerfar-ozon-market-keyword-search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-seerfar-ozon-market-keyword-search --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-seerfar-ozon-market-keyword-search .claude/skills/linkfox-seerfar-ozon-market-keyword-search && 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-seerfar-ozon-market-keyword-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-seerfar-ozon-market-keyword-search into .claude/skills/linkfox-seerfar-ozon-market-keyword-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-seerfar-ozon-market-keyword-search", 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-seerfar-ozon-market-keyword-searchType 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-seerfar-ozon-market-keyword-search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-seerfar-ozon-market-keyword-search --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-seerfar-ozon-market-keyword-search .agents/skills/linkfox-seerfar-ozon-market-keyword-search && 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-seerfar-ozon-market-keyword-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-seerfar-ozon-market-keyword-search into .agents/skills/linkfox-seerfar-ozon-market-keyword-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-seerfar-ozon-market-keyword-search", 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-seerfar-ozon-market-keyword-search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-seerfar-ozon-market-keyword-search --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-seerfar-ozon-market-keyword-search .cursor/skills/linkfox-seerfar-ozon-market-keyword-search && 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-seerfar-ozon-market-keyword-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-seerfar-ozon-market-keyword-search into .cursor/skills/linkfox-seerfar-ozon-market-keyword-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-seerfar-ozon-market-keyword-search", 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-seerfar-ozon-market-keyword-search--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-seerfar-ozon-market-keyword-search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-seerfar-ozon-market-keyword-search --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-seerfar-ozon-market-keyword-search .gemini/skills/linkfox-seerfar-ozon-market-keyword-search && 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-seerfar-ozon-market-keyword-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-seerfar-ozon-market-keyword-search into .gemini/skills/linkfox-seerfar-ozon-market-keyword-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-seerfar-ozon-market-keyword-search", 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-seerfar-ozon-market-keyword-searchInstalls 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-seerfar-ozon-market-keyword-search -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-seerfar-ozon-market-keyword-search .github/skills/linkfox-seerfar-ozon-market-keyword-search && 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-seerfar-ozon-market-keyword-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-seerfar-ozon-market-keyword-search into .github/skills/linkfox-seerfar-ozon-market-keyword-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-seerfar-ozon-market-keyword-search", 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-seerfar-ozon-market-keyword-search -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-seerfar-ozon-market-keyword-search --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-seerfar-ozon-market-keyword-search .opencode/skills/linkfox-seerfar-ozon-market-keyword-search && 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-seerfar-ozon-market-keyword-search" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-seerfar-ozon-market-keyword-search into .opencode/skills/linkfox-seerfar-ozon-market-keyword-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-seerfar-ozon-market-keyword-search", 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-seerfar-ozon-market-keyword-searchSeerfar Ozon 市场热词搜索:按搜索热度、增长、商品数、卖家数、竞品数、价格、销量、转化集中度等多维指标筛选 Ozon(及 Wildberries)市场关键词,返回每个关键词的月搜热度、增长、市场空间、竞品/卖家数、均价、加购转化、Top 商品等市场画像,用于 Ozon 选词、蓝海词挖掘与市场机会分析。当用户提到 Ozon 热词、Ozon 关键词市场分析、Ozon 选词、Ozon…
Linkfox Seerfar Ozon Market Keyword Search is an agent skill from linkfox-ai/linkfox-skills. Seerfar Ozon 市场热词搜索:按搜索热度、增长、商品数、卖家数、竞品数、价格、销量、转化集中度等多维指标筛选 Ozon(及 Wildberries)市场关键词,返回每个关键词的月搜热度、增长、市场空间、竞品/卖家数、均价、加购转化、Top 商品等市场画像,用于 Ozon 选词、蓝海词挖掘与市场机会分析。当用户提到 Ozon 热词、Ozon 关键词市场分析、Ozon 选词、Ozon 蓝海词、Ozon 搜索热度、Wildberries 关键词、Seerfar Ozon、Ozon market keyword search, Ozon keyword research, blue ocean keywords Ozon 时触发此技能。即使用户未明确提到"Seerfar",只要其意图是按指标筛选 Ozon 市场关键词并查看市场画像,也应触发此技能。
Its SKILL.md is about 2.3k 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 Keyword research. 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.
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 Seerfar Ozon Market Keyword Search loads about 2.3k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 106 tokens; SKILL.md has 1,008 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). 1,008 words, ~2,327 tokens.
.claude/skills/linkfox-seerfar-ozon-market-keyword-search/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.This skill searches Ozon marketplace keywords in the Seerfar analytics database and filters them by rich performance metrics — search volume, 30-day growth, product/seller/competitor counts, average price, monthly sales/revenue, conversion & view concentration, ratings/reviews, and more. Each returned keyword carries a full market profile (market space, return/cancellation rate, top products, Chinese translation), making it the starting point for Ozon keyword selection, blue-ocean term mining, and market-opportunity analysis.
Unit of data is the keyword, not the SKU: unlike a product search, this endpoint returns marketplace search terms ("热词"), each enriched with market metrics. You discover which search terms are worth targeting on Ozon.
Platform coverage: each keyword record carries a platform field (0 = Ozon, 1 = Wildberries). The dataset is Ozon-centric; Wildberries rows appear where available. There is no input to restrict the platform — filter client-side if needed.
Date semantics: searchDate selects the data month. Pass 2026-04-01 to get March 2026 data; omit it for the last 30 days. Metrics such as searchVolume (月搜热度) and count30GrowthRate (月搜增长) are relative to the selected period.
Match mode: matchType controls how the keywords array is matched — 0 exact, 1 fuzzy. Choose the mode that fits your discovery intent when filtering by keyword text.
| Parameter | Type | Required | Description |
|---|---|---|---|
| page | object | yes | Pagination {page, pageSize, orders[]}. page from 1 (default 1), pageSize default 20. orders[] = {field, direction} with direction DESC/ASC. |
| keywords | array<string> | no | Keyword list to filter (max 1000); combined with matchType. |
| matchType | integer | no | Keyword match mode: 0 exact, 1 fuzzy. |
| searchDate | string | no | Data date yyyy-MM-dd; default last 30 days. 2026-04-01 → March 2026 data. |
| categories | array<string> | no | Category ID list (max 1000). |
| searchVolume | {min,max} | no | Monthly search volume range. |
| searchChange30 | {min,max} | no | 30-day search change range. |
| monthlySales | {min,max} | no | Monthly sales range. |
| monthlyRevenue | {min,max} | no | Monthly revenue range. |
| price | {min,max} | no | Average price range. |
| productViews | {min,max} | no | Product view range. |
| products | {min,max} | no | Product count range. |
| volume | {min,max} | no | Volume range. |
| marketSpace | {min,max} | no | Market space range. |
| conversionSharing | {min,max} | no | Conversion concentration range. |
| reviews | {min,max} | no | Review count range. |
| ratings | {min,max} | no | Rating range. |
| sellers | {min,max} | no | Seller count range. |
| weight | {min,max} | no | Weight range. |
| uId | string | no | User ID. |
| memberId | string | no | Member ID (data attribution). |
All range filters are {min, max} objects; supply either or both bounds. Only page is required.
POST /seerfar/ozon/marketKeywordSearch(完整参数/响应/错误码见 references/api.md)python scripts/seerfar_ozon_market_keyword_search.py '<JSON 参数>' [--inline]输出策略(脚本默认行为):
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-seerfar-ozon-market-keyword-search-<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。1. Hottest keywords right now (sort by search volume)
{"page": {"page": 1, "pageSize": 10, "orders": [{"field": "searchVolume", "direction": "DESC"}]}}2. Blue-ocean terms — high volume, few sellers
{"page": {"page": 1, "pageSize": 20, "orders": [{"field": "searchVolume", "direction": "DESC"}]}, "searchVolume": {"min": 10000}, "sellers": {"max": 50}}3. Filter by keyword text (fuzzy, Russian)
{"page": {"page": 1, "pageSize": 20}, "keywords": ["телефон"], "matchType": 1}4. A specific data month with a sales floor
{"page": {"page": 1, "pageSize": 20}, "searchDate": "2026-04-01", "monthlySales": {"min": 1000}}page.orders: the dataset is large — always sort by the metric you care about (searchVolume DESC for popularity, count30GrowthRate DESC for rising terms, sellers ASC for low competition).searchVolume floor with a low sellers ceiling to surface blue-ocean keywords; add conversionSharing / marketSpace bounds to qualify demand.keywords + matchType to scope a niche: pass seed terms in Russian with matchType: 1 (fuzzy) to enumerate related long-tail terms.searchDate: omit it for current trends (last 30 days); pass an explicit date for month-over-month comparison.query / queryCn (Chinese translation), then searchVolume, count30GrowthRate, productCount, sellers, avgPrice.query; the queryCn field provides a Chinese translation when available.platform (0/1) so the user can distinguish them.total is large, show the top rows and remind the user they can persist the full response via the large-response pattern below, or page further with page.page.code is not 200 (or errcode is not 200), explain the reason from msg / errmsg and suggest adjusting filters.page is required: a payload without page is rejected.platform field.categories requires Seerfar category IDs, not human-readable names.pageSize and page to page; very large pageSize values may be capped server-side.products[*] (Top 商品) and categoryInfos[*] (类目路径与可跨境标识) are structured and decision-useful — see references/api.md for sub-fields. dimension / columns are opaque or partially populated; relevancy / titleDensity / wordCount are usually absent.Applicable — Ozon keyword market research:
| User Says | Scenario |
|---|---|
| "Ozon 热词 / 热搜词有哪些" | Hottest keywords by search volume |
| "Ozon 蓝海词、低竞争高搜索的词" | Blue-ocean term mining (high volume, few sellers) |
| "Ozon 上升词 / 近期增长快的词" | Rising keywords (growth sort) |
| "围绕某个俄语词的长尾词" | Fuzzy keyword expansion |
| "Ozon 某关键词的市场空间/竞品数/卖家数" | Keyword market profile |
Not applicable — Needs beyond keyword market data:
Boundary judgment: if the user wants to discover and rank search terms on Ozon by market metrics, start here. If they already have a SKU / seller / category and want entities under it, route to the corresponding Seerfar Ozon data source.
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.
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
SKILL.md and 4 other files (scripts, references) in skills/linkfox-seerfar-ozon-market-keyword-search of linkfox-ai/linkfox-skills.
Open the folder on GitHubat commit 38fef04
Linkfox Seerfar Ozon Market Keyword Search 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 Seerfar Ozon Market Keyword Search this skilllinkfox-ai/linkfox-skills | 107 | — | ~2.3k | Automated safety check: Pass | MIT | |
| SEO Keyword ClusteringAgriciDaniel/claude-seo | 19k | 2 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Evaluate Skillevery-app/open-seo | 23k | — | ~1.8k | Automated safety check: Notes | MIT | |
| SEO Content Brief GeneratorAgriciDaniel/claude-seo | 19k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Blog GoogleAgriciDaniel/claude-blog | 2.3k | 1 repos | ~3.3k | Automated safety check: Notes | MIT | |
| FLOW SEO FrameworkAgriciDaniel/claude-seo | 19k | 2 repos | ~1.4k | Automated safety check: Pass | MIT |
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.
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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.
AgriciDaniel/claude-blog
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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.
AgriciDaniel/codex-seo
Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.
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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
Seerfar Ozon 市场热词搜索:按搜索热度、增长、商品数、卖家数、竞品数、价格、销量、转化集中度等多维指标筛选 Ozon(及 Wildberries)市场关键词,返回每个关键词的月搜热度、增长、市场空间、竞品/卖家数、均价、加购转化、Top 商品等市场画像,用于 Ozon 选词、蓝海词挖掘与市场机会分析。当用户提到 Ozon 热词、Ozon 关键词市场分析、Ozon 选词、Ozon…. Linkfox Seerfar Ozon Market Keyword Search is an agent skill from linkfox-ai/linkfox-skills.
Linkfox Seerfar Ozon Market Keyword Search fits situations like: tasks that involve Keyword research.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-seerfar-ozon-market-keyword-search -a claude-code`. Or copy the skill folder (skills/linkfox-seerfar-ozon-market-keyword-search in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-seerfar-ozon-market-keyword-search in your project. Claude Code loads it when a task matches its description.
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-seerfar-ozon-market-keyword-search -a codex`. Or copy the skill folder (skills/linkfox-seerfar-ozon-market-keyword-search in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-seerfar-ozon-market-keyword-search 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-seerfar-ozon-market-keyword-search -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-seerfar-ozon-market-keyword-search, .gemini/skills/linkfox-seerfar-ozon-market-keyword-search, .github/skills/linkfox-seerfar-ozon-market-keyword-search and .opencode/skills/linkfox-seerfar-ozon-market-keyword-search in your project.
Going by SKILL.md and its folder, Linkfox Seerfar Ozon Market Keyword Search 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 Seerfar Ozon Market Keyword Search 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 9.3k 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 2.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Linkfox Seerfar Ozon Market Keyword Search: 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.
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.