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.
调用 Sorftime 研究 Walmart 美国站关键词市场、名称反查词、搜索结果商品、关键词详情、商品关联词与扩展词，并管理收藏关键词目录。当用户提到 Walmart 关键词研究、搜索量或排名筛选、商品反查关键词、相关关键词、关键词详情、关键词搜索结果商品、收藏关键词、关键词分组、keyword research、keyword discovery、related keywords 或…
Install Linkfox Sorftime Walmart Keyword Research
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-walmart-keyword-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sorftime-walmart-keyword-research --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-sorftime-walmart-keyword-research .claude/skills/linkfox-sorftime-walmart-keyword-research && 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-sorftime-walmart-keyword-research" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-walmart-keyword-research into .claude/skills/linkfox-sorftime-walmart-keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-walmart-keyword-research", 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-sorftime-walmart-keyword-researchType 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-sorftime-walmart-keyword-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sorftime-walmart-keyword-research --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-sorftime-walmart-keyword-research .agents/skills/linkfox-sorftime-walmart-keyword-research && 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-sorftime-walmart-keyword-research" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-walmart-keyword-research into .agents/skills/linkfox-sorftime-walmart-keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-walmart-keyword-research", 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-sorftime-walmart-keyword-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sorftime-walmart-keyword-research --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-sorftime-walmart-keyword-research .cursor/skills/linkfox-sorftime-walmart-keyword-research && 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-sorftime-walmart-keyword-research" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-walmart-keyword-research into .cursor/skills/linkfox-sorftime-walmart-keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-walmart-keyword-research", 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-sorftime-walmart-keyword-research--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-sorftime-walmart-keyword-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sorftime-walmart-keyword-research --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-sorftime-walmart-keyword-research .gemini/skills/linkfox-sorftime-walmart-keyword-research && 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-sorftime-walmart-keyword-research" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-walmart-keyword-research into .gemini/skills/linkfox-sorftime-walmart-keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-walmart-keyword-research", 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-sorftime-walmart-keyword-researchInstalls 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-sorftime-walmart-keyword-research -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-sorftime-walmart-keyword-research .github/skills/linkfox-sorftime-walmart-keyword-research && 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-sorftime-walmart-keyword-research" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-walmart-keyword-research into .github/skills/linkfox-sorftime-walmart-keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-walmart-keyword-research", 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-sorftime-walmart-keyword-research -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-sorftime-walmart-keyword-research --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-sorftime-walmart-keyword-research .opencode/skills/linkfox-sorftime-walmart-keyword-research && 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-sorftime-walmart-keyword-research" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sorftime-walmart-keyword-research into .opencode/skills/linkfox-sorftime-walmart-keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sorftime-walmart-keyword-research", 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-sorftime-walmart-keyword-research- GitHub stars
- 107
- Token cost
- ~1.8k tokens
- SKILL.md length
- 733 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
调用 Sorftime 研究 Walmart 美国站关键词市场、名称反查词、搜索结果商品、关键词详情、商品关联词与扩展词，并管理收藏关键词目录。当用户提到 Walmart 关键词研究、搜索量或排名筛选、商品反查关键词、相关关键词、关键词详情、关键词搜索结果商品、收藏关键词、关键词分组、keyword research、keyword discovery、related keywords 或…
- Works in 5 steps: State the selected operation and show… → Preserve metric meanings and observation… → Report the requested page and offer… → …
- Tasks that involve Keyword research
- SKILL.md covers Core Concepts, Operation Routing, Parameter Guide 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 Sorftime Walmart Keyword Research is an agent skill from linkfox-ai/linkfox-skills. 调用 Sorftime 研究 Walmart 美国站关键词市场、名称反查词、搜索结果商品、关键词详情、商品关联词与扩展词，并管理收藏关键词目录。当用户提到 Walmart 关键词研究、搜索量或排名筛选、商品反查关键词、相关关键词、关键词详情、关键词搜索结果商品、收藏关键词、关键词分组、keyword research、keyword discovery、related keywords 或 product keywords 时使用。
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/onboarding.py`).
It sits in Marketing & SEO, covering Keyword research. The licence is MIT.
When your agent uses it
- Tasks that involve Keyword research
Example prompts
- “/linkfox-sorftime-walmart-keyword-research”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- State the selected operation and show requestConsumed, costCredit, and costToken when returned. If _cache.hit=true, make clear that the…
- Preserve metric meanings and observation windows; do not turn estimates into guaranteed demand or sales.
- Report the requested page and offer another only after explaining that it creates another paid call.
- Treat product IDs and keywords as strings.
- For mutations, report the returned data code; HTTP 200 alone does not prove mutation success.
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 Sorftime Walmart Keyword Research loads about 1.8k tokens when it runs, and up to ~5.7k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 733 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). 733 words, ~1,795 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-sorftime-walmart-keyword-research/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- linkfox-sorftime-walmart-keyword-research
- description
- 调用 Sorftime 研究 Walmart 美国站关键词市场、名称反查词、搜索结果商品、关键词详情、商品关联词与扩展词，并管理收藏关键词目录。当用户提到 Walmart 关键词研究、搜索量或排名筛选、商品反查关键词、相关关键词、关键词详情、关键词搜索结果商品、收藏关键词、关键词分组、keyword research、keyword discovery、related keywords 或 product keywords 时使用。
Walmart 关键词研究
Use one Sorftime endpoint to research Walmart US keywords or explicitly manage the saved-keyword library.
Core Concepts
- Send exactly one
operationper request. Never run multiple keyword operations as an automatic discovery chain. - Use a flat JSON body. The only business nesting is the optional
patternobject formarketQuery. operationvalues are case-sensitive. A different operation, page, or filter is another paid call.favoriteAddandfavoriteChangemutate external account data and require an explicit, unambiguous user request.
Operation Routing
| Intent | operation | Required input | Sorftime Request |
|---|---|---|---|
| Filter current hot keywords | marketQuery | None; filters optional | 5 |
| Find hot keywords from a name | searchByName | name | 1 |
| Find products for a hot keyword | searchProducts | keyword | 5 |
| Inspect keyword metrics | detail | keyword | 1 |
| Find a product's associated keywords | productKeywords | productId | 1 |
| Expand related keywords | relatedKeywords | keyword | 5 |
| Add a saved keyword | favoriteAdd | keyword | 1 |
| Delete or move a saved keyword | favoriteChange | keyword, command | 0 |
| List saved keywords or folders | favoriteList | command | 1 |
Read references/api.md for the complete conditional parameter matrix before calling.
Parameter Guide
marketQuery: optionalpattern.keyword,pattern.rankCondition, andpattern.searchVolumeCondition;pageIndexdefaults to 1 andpageSizeto 20 (20–200).- A one-value condition such as
[10000]is a lower bound.[0,10000]follows Sorftime's documented less-than-10000 semantics. searchByName:nameis a product or category name;pageIndexdefaults to 1, and Sorftime returns at most 200 rows per page.searchProducts,productKeywords, andrelatedKeywords: pagination defaults to page 1 and 20 rows, maximum 200.favoriteListexposespageIndex(default 1); the backend maps it to Sorftime's upstreamPagefield.
调用方式
- API 端点：
POST /sorftime/walmart/keywordResearch（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/sorftime_walmart_keyword_research.py '<JSON 参数>' [--inline] - 成本约束：本工具会消耗算力；只读研究操作对同一参数组合使用 24h 本地缓存，
favoriteAdd、favoriteChange、favoriteList始终绕过缓存。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-sorftime-walmart-keyword-research-<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：
- 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
Keyword Library Safety
- Add to the default “未分类” folder by omitting
dict; a provided folder may be created by Sorftime. - Delete with
command="del". Omittingdictoperates on the default “未分类” folder; specifydictto delete from another folder. - Move with
command="move=<目标目录>". Omittingdictmeans the source is “未分类”. - List with
commandequal toall,dict, ordict=<目录>. - If an explicitly authorized mutation truly must be repeated after external state changed, use
--no-cache; never use it to bypass the confirmation guard. favoriteAdd,favoriteChange, andfavoriteListalways bypass the local cache, so mutations are never suppressed and list results reflect the latest upstream state.- The exposed operations do not delete folders. Removing the final keyword can leave an empty folder in the API library.
Show full SKILL.md (292 more words)Show less
Usage Examples
python scripts/sorftime_walmart_keyword_research.py '{"operation":"marketQuery","pattern":{"keyword":"wireless","searchVolumeCondition":[10000]},"pageIndex":1,"pageSize":20}'
python scripts/sorftime_walmart_keyword_research.py '{"operation":"detail","keyword":"wireless earbuds"}'
python scripts/sorftime_walmart_keyword_research.py '{"operation":"productKeywords","productId":"5169493923","pageIndex":1,"pageSize":20}'
python scripts/sorftime_walmart_keyword_research.py '{"operation":"favoriteList","command":"dict","pageIndex":1}'Run mutation operations only after explicit authorization.
Display Rules
- State the selected operation and show
requestConsumed,costCredit, andcostTokenwhen returned. If_cache.hit=true, make clear that the cached values describe the original live request and no new production charge occurred. - Preserve metric meanings and observation windows; do not turn estimates into guaranteed demand or sales.
- Report the requested page and offer another only after explaining that it creates another paid call.
- Treat product IDs and keywords as strings.
- For mutations, report the returned data code; HTTP 200 alone does not prove mutation success.
Important Limitations
- This integration targets Walmart US only.
- Current-hot-keyword data, the 15-day product window, and the 30-day product-keyword window are Sorftime constraints.
- A single saved-keyword folder supports at most 2,000 keywords.
- The API saved-keyword library is separate from Sorftime Professional favorites; data is not synchronized between them.
- Read the Sorftime business response from
data.value; its JSON shape varies by operation. - Empty results must not trigger automatic variants, pagination, or related-keyword calls.
- This skill excludes Sorftime Walmart “其他” APIs.
User Expression & Scenario Quick Reference
Applicable: Walmart keyword discovery, keyword metrics, product-to-keyword research, related terms, or an explicit saved-keyword-library action.
Not applicable: category-market reports, product detail/trend analysis, or any Sorftime Walmart “其他” capability.
Boundary judgment: Choose exactly one operation that matches the user's stated intent; never turn one keyword request into an automatic multi-step research chain.
算力消耗规则
按动态规则计费：单个 Sorftime Request 当前显示为 6 算力；多 Request 操作由网关按整单计算并取整，最终以入口脚本返回的 costCredit 为准，不要简单用 requestConsumed × 6 代替实际账单。
用户会因算力消耗而支付费用。高消耗筛选、扩展词或连续分页前必须提醒用户；任何收藏变更都须明确授权。
Feedback:
Auto-detect and report feedback via the Feedback API when behavior or results mismatch intent, the user expresses praise or dissatisfaction, or an improvement is apparent. Follow references/api.md without interrupting 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
Files
SKILL.md and 4 other files (scripts, references) in skills/linkfox-sorftime-walmart-keyword-research of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/onboarding.py
- scripts/sorftime_walmart_keyword_research.py
Open the folder on GitHubat commit 38fef04
Compare with similar skills
Linkfox Sorftime Walmart Keyword Research 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 Sorftime Walmart Keyword Research this skilllinkfox-ai/linkfox-skills | 107 | — | ~1.8k | 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 |
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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 Amazon Opportunity Search By Metrics
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 Amazon Product Detail
linkfox-ai/linkfox-skills
通过ASIN获取亚马逊商品详细信息，包括标题、图片、五点描述、规格参数、A+页面、价格、评分评论、变体等；可在取得原始HTML时尝试提取Item Highlights（商品亮点）。当用户提到亚马逊商品详情、ASIN查询、商品页面数据、Listing分析、五点描述提取、Item…
Linkfox Amazon Reviews List
linkfox-ai/linkfox-skills
按ASIN获取并分析亚马逊商品评论，支持15个站点(含美国站)，按星级筛选评论。当用户提到亚马逊评论、美国站评论、商品评价、买家投诉、差评、好评、星级评分、评论分析、评论情感、产品改良建议、Vine评论、已验证购买评论、竞品评论研究、Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review…
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Questions about Linkfox Sorftime Walmart Keyword Research
What does Linkfox Sorftime Walmart Keyword Research do?
调用 Sorftime 研究 Walmart 美国站关键词市场、名称反查词、搜索结果商品、关键词详情、商品关联词与扩展词，并管理收藏关键词目录。当用户提到 Walmart 关键词研究、搜索量或排名筛选、商品反查关键词、相关关键词、关键词详情、关键词搜索结果商品、收藏关键词、关键词分组、keyword research、keyword discovery、related keywords 或…. Linkfox Sorftime Walmart Keyword Research is an agent skill from linkfox-ai/linkfox-skills.
When should I use Linkfox Sorftime Walmart Keyword Research?
Linkfox Sorftime Walmart Keyword Research fits situations like: tasks that involve Keyword research.
How do I install Linkfox Sorftime Walmart Keyword Research in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-walmart-keyword-research -a claude-code`. Or copy the skill folder (skills/linkfox-sorftime-walmart-keyword-research in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-sorftime-walmart-keyword-research in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Sorftime Walmart Keyword Research in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sorftime-walmart-keyword-research -a codex`. Or copy the skill folder (skills/linkfox-sorftime-walmart-keyword-research in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-sorftime-walmart-keyword-research in your project. Codex loads it when a task matches its description.
Can I use Linkfox Sorftime Walmart Keyword Research 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-sorftime-walmart-keyword-research -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-sorftime-walmart-keyword-research, .gemini/skills/linkfox-sorftime-walmart-keyword-research, .github/skills/linkfox-sorftime-walmart-keyword-research and .opencode/skills/linkfox-sorftime-walmart-keyword-research in your project.
What does Linkfox Sorftime Walmart Keyword Research need to run?
Going by SKILL.md and its folder, Linkfox Sorftime Walmart Keyword Research 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 Sorftime Walmart Keyword Research 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 Sorftime Walmart Keyword Research 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 Sorftime Walmart Keyword Research use?
Linkfox Sorftime Walmart Keyword Research 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 Sorftime Walmart Keyword Research use?
About 1.8k tokens (SKILL.md is roughly 7.2k 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 3.9k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Sorftime Walmart Keyword Research?
Skills that share tags, products or a category with Linkfox Sorftime Walmart Keyword Research: SEO Keyword Clustering (AgriciDaniel/claude-seo, 19k stars), Evaluate Skill (every-app/open-seo, 23k stars), SEO Content Brief Generator (AgriciDaniel/claude-seo, 19k stars) and Blog Google (AgriciDaniel/claude-blog, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Sorftime Walmart Keyword Research?
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.