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Jungle Scout关键词市场份额（Share of Voice）分析，返回亚马逊搜索结果前3页的品牌声量占比（自然/广告/综合）、30天精确搜索量、PPC竞价中位数及TOP3 ASIN点击转化数据，覆盖10个站点。当用户提到品牌市场份额、品牌声量占比、搜索结果品牌分布、Share of…
Install Linkfox Junglescout Keyword Share Of Voice
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-keyword-share-of-voice -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-keyword-share-of-voice --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-share-of-voice .claude/skills/linkfox-junglescout-keyword-share-of-voice && 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-share-of-voice" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-keyword-share-of-voice into .claude/skills/linkfox-junglescout-keyword-share-of-voice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-keyword-share-of-voice", 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-share-of-voiceType 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-share-of-voice -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-keyword-share-of-voice --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-share-of-voice .agents/skills/linkfox-junglescout-keyword-share-of-voice && 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-share-of-voice" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-keyword-share-of-voice into .agents/skills/linkfox-junglescout-keyword-share-of-voice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-keyword-share-of-voice", 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-share-of-voice -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-keyword-share-of-voice --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-share-of-voice .cursor/skills/linkfox-junglescout-keyword-share-of-voice && 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-share-of-voice" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-keyword-share-of-voice into .cursor/skills/linkfox-junglescout-keyword-share-of-voice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-keyword-share-of-voice", 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-share-of-voice--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-share-of-voice -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-junglescout-keyword-share-of-voice --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-share-of-voice .gemini/skills/linkfox-junglescout-keyword-share-of-voice && 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-share-of-voice" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-keyword-share-of-voice into .gemini/skills/linkfox-junglescout-keyword-share-of-voice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-keyword-share-of-voice", 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-share-of-voiceInstalls 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-share-of-voice -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-share-of-voice .github/skills/linkfox-junglescout-keyword-share-of-voice && 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-share-of-voice" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-keyword-share-of-voice into .github/skills/linkfox-junglescout-keyword-share-of-voice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-keyword-share-of-voice", 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-share-of-voice -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-share-of-voice --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-share-of-voice .opencode/skills/linkfox-junglescout-keyword-share-of-voice && 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-share-of-voice" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-junglescout-keyword-share-of-voice into .opencode/skills/linkfox-junglescout-keyword-share-of-voice/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-junglescout-keyword-share-of-voice", 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-share-of-voice- GitHub stars
- 107
- Used in
- 1 other repo
- Token cost
- ~2.8k tokens
- SKILL.md length
- 1,226 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
Jungle Scout关键词市场份额（Share of Voice）分析，返回亚马逊搜索结果前3页的品牌声量占比（自然/广告/综合）、30天精确搜索量、PPC竞价中位数及TOP3 ASIN点击转化数据，覆盖10个站点。当用户提到品牌市场份额、品牌声量占比、搜索结果品牌分布、Share of…
- Works in 3 steps: Marketplace mapping: "美国站" → us, "日本站" →… → Keyword: Pass the user's keyword as-is… → One keyword per call: Each request…
- Tasks that involve Marketing analytics
- 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 Share Of Voice is an agent skill from linkfox-ai/linkfox-skills. Jungle Scout关键词市场份额（Share of Voice）分析，返回亚马逊搜索结果前3页的品牌声量占比（自然/广告/综合）、30天精确搜索量、PPC竞价中位数及TOP3 ASIN点击转化数据，覆盖10个站点。当用户提到品牌市场份额、品牌声量占比、搜索结果品牌分布、Share of Voice、SOV分析、品牌竞争格局、广告位占比、自然排名品牌占比、PPC竞价分析、品牌垄断分析、keyword share of voice, brand visibility, organic vs sponsored share, brand dominance, PPC bid analysis, search result brand distribution, competitive landscape, weighted SOV, top ASIN clicks conversions时触发此技能。即使用户未明确提及"Share of Voice"或"SOV"，只要其需求涉及分析某个亚马逊关键词搜索结果中各品牌的市场占有率或竞争格局，也应触发此技能。
Its SKILL.md is about 2.8k 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/junglescout_keyword_sov.py`).
It sits in Marketing & SEO, covering Marketing analytics and Paid advertising. The licence is MIT.
When your agent uses it
- Tasks that involve Marketing analytics
- Tasks that involve Paid advertising
Example prompts
- “Share of Voice”
- “/linkfox-junglescout-keyword-share-of-voice”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Marketplace mapping: "美国站" → us, "日本站" → jp, "德国站" → de; default to us when unspecified
- Keyword: Pass the user's keyword as-is (lowercase English preferred)
- One keyword per call: Each request analyzes one keyword; for multi-keyword comparison, make separate calls
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 Share Of Voice loads about 2.8k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 132 tokens; SKILL.md has 1,226 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). 1,226 words, ~2,785 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-junglescout-keyword-share-of-voice/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-share-of-voice
- description
- Jungle Scout关键词市场份额（Share of Voice）分析，返回亚马逊搜索结果前3页的品牌声量占比（自然/广告/综合）、30天精确搜索量、PPC竞价中位数及TOP3 ASIN点击转化数据，覆盖10个站点。当用户提到品牌市场份额、品牌声量占比、搜索结果品牌分布、Share of Voice、SOV分析、品牌竞争格局、广告位占比、自然排名品牌占比、PPC竞价分析、品牌垄断分析、keyword share of voice, brand visibility, organic vs sponsored share, brand dominance, PPC bid analysis, search result brand distribution, competitive landscape, weighted SOV, top ASIN clicks conversions时触发此技能。即使用户未明确提及"Share of Voice"或"SOV"，只要其需求涉及分析某个亚马逊关键词搜索结果中各品牌的市场占有率或竞争格局，也应触发此技能。
Jungle Scout — 关键词市场份额 Share of Voice
This skill queries Share of Voice (SOV) data for Amazon keywords via the Jungle Scout data source, returning brand visibility distribution across the first 3 pages of search results, along with search volume, PPC bid estimates, and top ASIN click/conversion metrics across 10 Amazon marketplaces.
Core Concepts
Share of Voice measures how much of the search results real estate a brand occupies for a given keyword. Jungle Scout analyzes the first 3 pages of Amazon search results and calculates each brand's presence in three dimensions:
- Organic SOV: Brand visibility from organic (non-sponsored) search result positions
- Sponsored SOV: Brand visibility from sponsored/advertising placements
- Combined SOV: Overall brand visibility merging both organic and sponsored results
Each dimension has two calculation methods:
- Basic SOV: Simple product count ratio — number of a brand's products ÷ total products on the 3 pages
- Weighted SOV: Position-adjusted ratio that gives higher weight to top positions and factors like Amazon's Choice badge; this is the more meaningful metric for competitive analysis
The tool also returns:
- 30-day exact search volume: Total estimated searches in the past 30 days
- PPC bid median: Median suggested bid for this keyword, useful for advertising cost estimation
- TOP3 ASIN click & conversion data: The top 3 ASINs by clicks, with click count, conversion count, and conversion rate
Data Fields
brands (Brand SOV Breakdown)
| Field | API Name | Description | Example |
|---|---|---|---|
| Brand Name | brand | Brand name as shown in search results | Anker |
| Organic Products | organicProducts | Number of organic listings in the first 3 pages | 5 |
| Sponsored Products | sponsoredProducts | Number of sponsored listings | 3 |
| Combined Products | combinedProducts | Total listings (organic + sponsored) | 8 |
| Organic Basic SOV | organicBasicSov | Organic simple ratio (0–1) | 0.083 |
| Organic Weighted SOV | organicWeightedSov | Organic position-weighted ratio (0–1) | 0.112 |
| Sponsored Basic SOV | sponsoredBasicSov | Sponsored simple ratio (0–1) | 0.15 |
| Sponsored Weighted SOV | sponsoredWeightedSov | Sponsored position-weighted ratio (0–1) | 0.18 |
| Combined Basic SOV | combinedBasicSov | Combined simple ratio (0–1) | 0.133 |
| Combined Weighted SOV | combinedWeightedSov | Combined position-weighted ratio (0–1) | 0.152 |
| Organic Avg Position | organicAveragePosition | Average ranking position in organic results | 12.4 |
| Sponsored Avg Position | sponsoredAveragePosition | Average ranking position in sponsored results | 5.0 |
| Combined Avg Position | combinedAveragePosition | Average ranking position across all results | 9.5 |
| Organic Avg Price | organicAveragePrice | Average price of organic products | 29.99 |
| Sponsored Avg Price | sponsoredAveragePrice | Average price of sponsored products | 25.99 |
| Combined Avg Price | combinedAveragePrice | Average price of all products | 28.49 |
topAsins (TOP 3 ASIN Click & Conversion)
| Field | API Name | Description | Example |
|---|---|---|---|
| ASIN | asin | Amazon Standard Identification Number | B09V3KXJPB |
| Product Name | name | Product title | Anker Portable Charger... |
| Brand | brand | Product brand | Anker |
| Clicks | clicks | Click count (30-day window) | 15200 |
| Conversions | conversions | Conversion count (30-day window) | 4560 |
| Conversion Rate | conversionRate | Conversion rate (0–1) | 0.30 |
Top-Level Summary Fields
| Field | API Name | Description | Example |
|---|---|---|---|
| ID | id | Resource identifier | — |
| Type | type | Fixed value | share_of_voice |
| 30-Day Search Volume | estimated30DaySearchVolume | Exact search volume over 30 days | 125000 |
| PPC Bid Median | exactSuggestedBidMedian | Median suggested PPC bid (USD) | 1.25 |
| Product Count | productCount | Total products in the first 3 pages | 60 |
| Updated At | updatedAt | Data freshness timestamp | 2026-04-10T00:00:00 |
| Top ASINs Start Date | topAsinsModelStartDate | Click/conversion data window start | 2026-03-11 |
| Top ASINs End Date | topAsinsModelEndDate | Click/conversion data window end | 2026-04-10 |
| Cost Token | costToken | Tokens consumed by this call | 1 |
Supported Marketplaces
us (United States), uk (United Kingdom), de (Germany), in (India), ca (Canada), fr (France), it (Italy), es (Spain), mx (Mexico), jp (Japan)
Default marketplace is us. Use us when the user doesn't specify a marketplace.
调用方式
- API 端点：
POST /tool-jungle-scout/keywords/share-of-voice（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/junglescout_keyword_sov.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-share-of-voice-<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
Only two parameters are needed: marketplace and keyword.
Principles for Building API Calls
- Marketplace mapping: "美国站" →
us, "日本站" →jp, "德国站" →de; default touswhen unspecified - Keyword: Pass the user's keyword as-is (lowercase English preferred)
- One keyword per call: Each request analyzes one keyword; for multi-keyword comparison, make separate calls
Show full SKILL.md (547 more words)Show less
Common Query Scenarios
1. Brand dominance check — Who owns this keyword?
{
"marketplace": "us",
"keyword": "portable charger"
}Focus on combinedWeightedSov to see which brands dominate the search results page.
2. PPC competitive analysis — Is this keyword worth bidding on?
{
"marketplace": "us",
"keyword": "wireless earbuds"
}Compare exactSuggestedBidMedian with the keyword's search volume to gauge cost-efficiency. Check sponsoredWeightedSov to see how heavily competitors invest in ads.
3. Conversion efficiency of top ASINs
{
"marketplace": "de",
"keyword": "kopfhörer kabellos"
}Examine the topAsins array to find whether the top-clicked products convert well. High clicks + low conversion rate may indicate opportunity.
4. Identify market gaps — Are there underserved positions?
{
"marketplace": "jp",
"keyword": "ヨガマット"
}If no single brand has a combinedWeightedSov above 0.15, the keyword is fragmented and may be easier to enter. Combine with search volume to assess market size.
5. Compare organic vs sponsored presence
{
"marketplace": "uk",
"keyword": "running shoes"
}A brand with high sponsoredWeightedSov but low organicWeightedSov relies heavily on ads; this can inform competitive strategy.
Display Rules
- Brand table: Show the brands table sorted by
combinedWeightedSovdescending; highlight the top 5 brands for quick comprehension - SOV as percentage: Display SOV values as percentages (multiply by 100), e.g., 0.152 → 15.2%
- Context header: Before the table, show the keyword's 30-day search volume (
estimated30DaySearchVolume) and PPC bid median (exactSuggestedBidMedian) as context - Top ASINs section: Show the TOP 3 ASIN table separately with click count, conversion count, and conversion rate
- Competitive summary: After the data, provide a brief competitive landscape summary: whether the keyword is dominated by a few brands or fragmented, and note any large gaps between organic and sponsored presence
- Error handling: When a query fails, explain the reason based on the error response and suggest adjusting parameters
Important Limitations
- Coverage: Only the first 3 pages of Amazon search results are analyzed (typically ~48–60 products)
- Single keyword: One keyword per API call; multi-keyword comparison requires separate calls
- SOV is a snapshot: Data reflects a point-in-time crawl, not a historical trend
- No historical SOV: This tool does not provide SOV changes over time; use the keyword history tool for volume trends
User Expression & Scenario Quick Reference
Applicable — Brand market share and competitive analysis on Amazon search results:
| User Says | Scenario |
|---|---|
| "这个词谁占的份额最大" | Brand dominance analysis |
| "这个关键词竞争激不激烈" | Competitive landscape assessment |
| "广告位都被谁占了" | Sponsored SOV analysis |
| "有没有品牌垄断这个词" | Monopoly detection |
| "这个词的PPC出价大概多少" | PPC bid estimation |
| "搜索结果里哪些品牌排前面" | Brand visibility ranking |
| "这个词的转化率高不高" | Top ASIN conversion analysis |
Not applicable — Beyond keyword Share of Voice scope:
- Historical search volume trends (use keyword history tool)
- Keyword suggestions / keyword mining (use ABA or keyword explorer tools)
- Product-level sales estimation or review analysis
- Listing optimization or copywriting advice
- Non-Amazon platform data
Boundary judgment: When users say "竞争分析", "品牌分析", or "市场格局", if the intent is to understand which brands occupy the search results page for a specific keyword (share of voice / brand distribution), this skill applies. If they want product-level sales data, profit margins, or historical trends, 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.
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-junglescout-keyword-share-of-voice of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/junglescout_keyword_sov.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 Share Of Voice 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 Share Of Voice this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Google Adsarnabbagxd/Brand-building-skills | 729 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Google Adszapier/connectors | 177 | — | ~3.7k | Automated safety check: Pass | Elastic-2.0 | |
| Utm Tracking Generatoririnabuht12-oss/marketing-skills | 4.1k | — | ~1.7k | Automated safety check: Pass | None | |
| Linkedin Adsthatrebeccarae/claude-marketing | 161 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Google AdsaAAaqwq/AGI-Super-Team | 105 | 1 repos | ~1.4k | Automated safety check: Pass | MIT |
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Questions about Linkfox Junglescout Keyword Share Of Voice
What does Linkfox Junglescout Keyword Share Of Voice do?
Jungle Scout关键词市场份额（Share of Voice）分析，返回亚马逊搜索结果前3页的品牌声量占比（自然/广告/综合）、30天精确搜索量、PPC竞价中位数及TOP3 ASIN点击转化数据，覆盖10个站点。当用户提到品牌市场份额、品牌声量占比、搜索结果品牌分布、Share of…. Linkfox Junglescout Keyword Share Of Voice is an agent skill from linkfox-ai/linkfox-skills.
When should I use Linkfox Junglescout Keyword Share Of Voice?
Linkfox Junglescout Keyword Share Of Voice fits situations like: tasks that involve Marketing analytics; tasks that involve Paid advertising.
How do I install Linkfox Junglescout Keyword Share Of Voice in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-keyword-share-of-voice -a claude-code`. Or copy the skill folder (skills/linkfox-junglescout-keyword-share-of-voice in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-junglescout-keyword-share-of-voice in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Junglescout Keyword Share Of Voice in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-junglescout-keyword-share-of-voice -a codex`. Or copy the skill folder (skills/linkfox-junglescout-keyword-share-of-voice in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-junglescout-keyword-share-of-voice in your project. Codex loads it when a task matches its description.
Can I use Linkfox Junglescout Keyword Share Of Voice 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-share-of-voice -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-share-of-voice, .gemini/skills/linkfox-junglescout-keyword-share-of-voice, .github/skills/linkfox-junglescout-keyword-share-of-voice and .opencode/skills/linkfox-junglescout-keyword-share-of-voice in your project.
What does Linkfox Junglescout Keyword Share Of Voice need to run?
Going by SKILL.md and its folder, Linkfox Junglescout Keyword Share Of Voice 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 Share Of Voice 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 Share Of Voice 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 Share Of Voice use?
Linkfox Junglescout Keyword Share Of Voice 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 Share Of Voice use?
About 2.8k tokens (SKILL.md is roughly 11k 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 2.2k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Junglescout Keyword Share Of Voice?
Skills that share tags, products or a category with Linkfox Junglescout Keyword Share Of Voice: Google Ads (arnabbagxd/Brand-building-skills, 729 stars), Google Ads (zapier/connectors, 177 stars), Utm Tracking Generator (irinabuht12-oss/marketing-skills, 4.1k stars) and Linkedin Ads (thatrebeccarae/claude-marketing, 161 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 Share Of Voice?
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.