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.
Jungle Scout关键词历史搜索量查询，按7天周期返回亚马逊关键词的精确搜索量趋势，覆盖美国、英国、德国、日本等10个站点。当用户提到关键词搜索量趋势、历史搜索量、搜索热度变化、关键词季节性、搜索量波动、Jungle Scout搜索量、keyword search volume history, keyword trend, search volume over time…
Install Linkfox Junglescout Keyword History
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-keyword-history -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-keyword-history --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-junglescout-keyword-history .claude/skills/linkfox-junglescout-keyword-history && 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-junglescout-keyword-history" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-keyword-history into .claude/skills/linkfox-junglescout-keyword-history/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-keyword-history", 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-junglescout-keyword-historyType 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-junglescout-keyword-history -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-keyword-history --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-junglescout-keyword-history .agents/skills/linkfox-junglescout-keyword-history && 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-junglescout-keyword-history" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-keyword-history into .agents/skills/linkfox-junglescout-keyword-history/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-keyword-history", 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-junglescout-keyword-history -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-keyword-history --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-junglescout-keyword-history .cursor/skills/linkfox-junglescout-keyword-history && 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-junglescout-keyword-history" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-keyword-history into .cursor/skills/linkfox-junglescout-keyword-history/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-keyword-history", 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-junglescout-keyword-history--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-junglescout-keyword-history -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-keyword-history --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-junglescout-keyword-history .gemini/skills/linkfox-junglescout-keyword-history && 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-junglescout-keyword-history" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-keyword-history into .gemini/skills/linkfox-junglescout-keyword-history/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-keyword-history", 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-junglescout-keyword-historyInstalls 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-junglescout-keyword-history -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-junglescout-keyword-history .github/skills/linkfox-junglescout-keyword-history && 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-junglescout-keyword-history" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-keyword-history into .github/skills/linkfox-junglescout-keyword-history/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-keyword-history", 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-junglescout-keyword-history -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-junglescout-keyword-history --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-junglescout-keyword-history .opencode/skills/linkfox-junglescout-keyword-history && 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-junglescout-keyword-history" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-keyword-history into .opencode/skills/linkfox-junglescout-keyword-history/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-keyword-history", 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-junglescout-keyword-history- GitHub stars
- 107
- Used in
- 1 other repo
- Token cost
- ~1.5k tokens
- SKILL.md length
- 466 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
Jungle Scout关键词历史搜索量查询，按7天周期返回亚马逊关键词的精确搜索量趋势，覆盖美国、英国、德国、日本等10个站点。当用户提到关键词搜索量趋势、历史搜索量、搜索热度变化、关键词季节性、搜索量波动、Jungle Scout搜索量、keyword search volume history, keyword trend, search volume over time…
- Works in 5 steps: 站点映射：用户说"美国站"→ us，"日本站"→ jp，"德国站"→… → 日期格式：必须为 YYYY-MM-DD，如 2025-01-05 → 时间跨度：startDate 到 endDate 最长 366… → …
- Tasks that involve Keyword research
- SKILL.md covers Core Concepts, Data Fields, Supported Marketplaces and 调用方式, plus 6 more sections
- Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY
What it does
Linkfox Junglescout Keyword History is an agent skill from linkfox-ai/linkfox-skills. Jungle Scout关键词历史搜索量查询，按7天周期返回亚马逊关键词的精确搜索量趋势，覆盖美国、英国、德国、日本等10个站点。当用户提到关键词搜索量趋势、历史搜索量、搜索热度变化、关键词季节性、搜索量波动、Jungle Scout搜索量、keyword search volume history, keyword trend, search volume over time, seasonal search volume, keyword popularity trend时触发此技能。即使用户未明确提及"Jungle Scout"，只要其需求涉及查看某个亚马逊关键词在一段时间内的搜索量变化趋势，也应触发此技能。
Its SKILL.md is about 1.5k 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/junglescout_keyword_history.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
- “Jungle Scout”
- “/linkfox-junglescout-keyword-history”
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.
- 站点映射：用户说"美国站"→ us，"日本站"→ jp，"德国站"→ de；未指定时默认 us
- 日期格式：必须为 YYYY-MM-DD，如 2025-01-05
- 时间跨度：startDate 到 endDate 最长 366 天；超过时需拆分为多次请求
- 关键词：原样传入用户提供的关键词（英文小写为佳）
- 常用时间推算
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 Junglescout Keyword History loads about 1.5k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 87 tokens; SKILL.md has 466 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). 466 words, ~1,467 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-junglescout-keyword-history/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- linkfox-junglescout-keyword-history
- description
- Jungle Scout关键词历史搜索量查询，按7天周期返回亚马逊关键词的精确搜索量趋势，覆盖美国、英国、德国、日本等10个站点。当用户提到关键词搜索量趋势、历史搜索量、搜索热度变化、关键词季节性、搜索量波动、Jungle Scout搜索量、keyword search volume history, keyword trend, search volume over time, seasonal search volume, keyword popularity trend时触发此技能。即使用户未明确提及"Jungle Scout"，只要其需求涉及查看某个亚马逊关键词在一段时间内的搜索量变化趋势，也应触发此技能。
Jungle Scout — 关键词历史搜索量
This skill queries the historical exact search volume for Amazon keywords via the Jungle Scout data source, returning weekly search volume data points over a specified date range across 10 Amazon marketplaces.
Core Concepts
Jungle Scout 关键词历史搜索量工具提供亚马逊各站点关键词的周维度精确匹配搜索量历史数据。卖家可以通过查询指定时间范围内的搜索量变化来判断：
- 季节性规律：关键词在哪些月份是旺季/淡季
- 趋势方向：搜索量是持续上升、下降还是平稳
- 波动幅度：判断市场需求的稳定性
- 节假日效应：大促、节日前后的搜索量飙升
数据粒度：每条记录代表一个 7 天周期，包含该周内的精确匹配搜索量估算值。
Data Fields
Output Fields
| Field | API Name | Description | Example |
|---|---|---|---|
| 周期标识 | id | 数据周期标识（市场/关键词/日期范围） | us_sushi_20250105_20250111 |
| 周期开始日期 | estimateStartDate | 7天统计周期的起点 | 2025-01-05 |
| 周期结束日期 | estimateEndDate | 7天统计周期的终点 | 2025-01-11 |
| 精确搜索量 | estimatedExactSearchVolume | 该周期内精确匹配搜索量（次/周） | 12500 |
| 资源类型 | type | 固定值 | historical_keyword_search_volume |
| 消耗Token | costToken | 本次调用消耗的 token 数 | 1 |
Supported Marketplaces
| 站点 | marketplace 值 | 说明 |
|---|---|---|
| 美国 | us | Amazon.com |
| 英国 | uk | Amazon.co.uk |
| 德国 | de | Amazon.de |
| 印度 | in | Amazon.in |
| 加拿大 | ca | Amazon.ca |
| 法国 | fr | Amazon.fr |
| 意大利 | it | Amazon.it |
| 西班牙 | es | Amazon.es |
| 墨西哥 | mx | Amazon.com.mx |
| 日本 | jp | Amazon.co.jp |
默认站点为 us。当用户未指定站点时，使用 us。
调用方式
- API 端点：
POST /tool-jungle-scout/keywords/historical-search-volume（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/junglescout_keyword_history.py '<JSON 参数>' [--inline] - 成本约束：本工具会消耗算力；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探；需要继续检索时先向用户说明会产生额外消耗。
输出策略（脚本默认行为）：
- 始终将完整响应写入
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-junglescout-keyword-history-<timestamp>.json（<cwd>为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；<session>取自环境变量SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错） - 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
- 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如
total/costToken、最大列表字段的长度 + 前 3 条样本） - 加
--inline强制全量打印到 stdout（同样落盘）
读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。
解决认证和算力问题
发生以下异常情况时，采用 references/onboarding.md 引导解决问题：
异常情况
- 未配置API Key：环境变量未配置
LINKFOX_AGENT_API_KEY，也未配置LINKFOXAGENT_API_KEY。 - 响应401或402状态码
- 响应提示算力或余额不足：消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。
How to Build Queries
所有四个参数均为必填：marketplace、keyword、startDate、endDate。
Principles for Building API Calls
- 站点映射：用户说"美国站"→
us，"日本站"→jp，"德国站"→de；未指定时默认us - 日期格式：必须为
YYYY-MM-DD，如2025-01-05 - 时间跨度：
startDate到endDate最长 366 天；超过时需拆分为多次请求 - 关键词：原样传入用户提供的关键词（英文小写为佳）
- 常用时间推算：
- "过去3个月" → endDate 取今天，startDate 取约90天前
- "去年全年" →
2025-01-01到2025-12-31 - "旺季" → 根据品类判断，如 Q4 为
10-01到12-31
Common Query Scenarios
1. 查看关键词近半年搜索趋势
{
"marketplace": "us",
"keyword": "yoga mat",
"startDate": "2025-10-01",
"endDate": "2026-03-31"
}2. 判断关键词季节性（查全年数据）
{
"marketplace": "us",
"keyword": "christmas decorations",
"startDate": "2025-01-01",
"endDate": "2025-12-31"
}3. 对比旺季与淡季搜索量
分两次调用：
- 淡季：
startDate=2025-02-01,endDate=2025-04-30 - 旺季：
startDate=2025-10-01,endDate=2025-12-31
4. 多站点对比
对同一关键词分别查询不同 marketplace（如 us、de、jp），比较各站搜索量规模。
5. 验证市场需求是否增长
{
"marketplace": "de",
"keyword": "luftreiniger",
"startDate": "2025-04-01",
"endDate": "2026-03-31"
}Display Rules
- 趋势可视化优先：建议以时间线/折线图方式展示搜索量变化，横轴为日期周期，纵轴为搜索量
- 表格辅助：同时提供数据表格供精确查阅，列包括：周期开始日期、周期结束日期、搜索量
- 趋势总结：在数据之后简要总结趋势方向（上升/下降/平稳/周期性波动），标注峰值和谷值周期
- 峰值标注：高亮搜索量最高和最低的周期，便于用户快速判断旺淡季
- Error handling: When a query fails, explain the reason based on the error response and suggest adjusting parameters（如日期范围超 366 天）
Show full SKILL.md (184 more words)Show less
Important Limitations
- 时间跨度上限：单次查询
startDate到endDate最长 366 天，超过需拆分查询 - 数据粒度：周维度（7天一个数据点），非日维度
- 搜索量类型：精确匹配搜索量（Exact Match），非广泛匹配
- 所有参数必填：
marketplace、keyword、startDate、endDate缺一不可
User Expression & Scenario Quick Reference
Applicable - 关键词搜索量历史趋势分析：
| User Says | Scenario |
|---|---|
| "这个词搜索量怎么变化的" | 搜索量趋势查询 |
| "这个品类有没有季节性" | 全年数据判断季节规律 |
| "搜索量最近在涨还是跌" | 近期趋势判断 |
| "什么时候是旺季" | 峰值周期识别 |
| "去年Q4搜索量多少" | 指定时间段搜索量查询 |
| "这个词在德国站热不热" | 非美国站搜索量查询 |
| "对比两个时间段的搜索量" | 旺淡季/同比对比 |
Not applicable - 超出关键词历史搜索量范围：
- 关键词建议/拓词（需要关键词挖掘工具）
- 实时/当前搜索量排名（需要 ABA 或 SIF 工具）
- 关键词竞争度、CPC 出价
- 商品销量、listing 分析
- 非亚马逊平台的搜索量
Boundary judgment: When users say "搜索量", "关键词热度", or "市场需求趋势", if they specifically want to see how a keyword's search volume changes over a period of time (historical trend), this skill applies. If they want the current ranking or a list of trending keywords, it does not apply.
算力消耗规则
消耗 64 算力。
用户会因算力消耗而支付费用。请充分评估：当需要高频调用本技能，或用户对算力消耗量预期不足时，务必提醒用户，由用户决定是否继续。
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- Anything you believe could be improved
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
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© 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-junglescout-keyword-history of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/junglescout_keyword_history.py
- scripts/onboarding.py
Open the folder on GitHubat commit 38fef04
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in linkfox-ai/linkfox-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Linkfox Junglescout Keyword History 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 Junglescout Keyword History this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~1.5k | 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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Questions about Linkfox Junglescout Keyword History
What does Linkfox Junglescout Keyword History do?
Jungle Scout关键词历史搜索量查询，按7天周期返回亚马逊关键词的精确搜索量趋势，覆盖美国、英国、德国、日本等10个站点。当用户提到关键词搜索量趋势、历史搜索量、搜索热度变化、关键词季节性、搜索量波动、Jungle Scout搜索量、keyword search volume history, keyword trend, search volume over time…. Linkfox Junglescout Keyword History is an agent skill from linkfox-ai/linkfox-skills.
When should I use Linkfox Junglescout Keyword History?
Linkfox Junglescout Keyword History fits situations like: tasks that involve Keyword research.
How do I install Linkfox Junglescout Keyword History in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-keyword-history -a claude-code`. Or copy the skill folder (skills/linkfox-junglescout-keyword-history in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-junglescout-keyword-history in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Junglescout Keyword History in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-keyword-history -a codex`. Or copy the skill folder (skills/linkfox-junglescout-keyword-history in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-junglescout-keyword-history in your project. Codex loads it when a task matches its description.
Can I use Linkfox Junglescout Keyword History 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-junglescout-keyword-history -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-junglescout-keyword-history, .gemini/skills/linkfox-junglescout-keyword-history, .github/skills/linkfox-junglescout-keyword-history and .opencode/skills/linkfox-junglescout-keyword-history in your project.
What does Linkfox Junglescout Keyword History need to run?
Going by SKILL.md and its folder, Linkfox Junglescout Keyword History 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 Junglescout Keyword History 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 Junglescout Keyword History 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 Junglescout Keyword History use?
Linkfox Junglescout Keyword History 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 Junglescout Keyword History use?
About 1.5k tokens (SKILL.md is roughly 5.9k 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 1.6k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Junglescout Keyword History?
Skills that share tags, products or a category with Linkfox Junglescout Keyword History: 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 Junglescout Keyword History?
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.