SEO Aeo Keyword Research
sickn33/agentic-awesome-skills
Researches and prioritises keywords from the site context and live search intent, including problem queries, question queries, difficulty tiers, and a content map.
亚马逊细分市场评论分析与消费者情感洞察。当用户提到细分市场评论分析、消费者情感、用户痛点、客户反馈洞察、评论主题分析、好评差评拆解、细分市场舆情挖掘、产品评论情感分析、niche market reviews, consumer sentiment, customer pain points, review topic analysis, positive/negative reviews…
MITAuto-check passed
Install Linkfox Jiimore Get Niche Review From Keyword
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-jiimore-get-niche-review-from-keyword -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-jiimore-get-niche-review-from-keyword --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkfox-jiimore-get-niche-review-from-keyword .claude/skills/linkfox-jiimore-get-niche-review-from-keyword && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "linkfox-jiimore-get-niche-review-from-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-jiimore-get-niche-review-from-keyword into .claude/skills/linkfox-jiimore-get-niche-review-from-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-jiimore-get-niche-review-from-keyword", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-jiimore-get-niche-review-from-keywordType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-jiimore-get-niche-review-from-keyword -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-jiimore-get-niche-review-from-keyword --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkfox-jiimore-get-niche-review-from-keyword .agents/skills/linkfox-jiimore-get-niche-review-from-keyword && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkfox-jiimore-get-niche-review-from-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-jiimore-get-niche-review-from-keyword into .agents/skills/linkfox-jiimore-get-niche-review-from-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-jiimore-get-niche-review-from-keyword", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-jiimore-get-niche-review-from-keyword -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-jiimore-get-niche-review-from-keyword --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkfox-jiimore-get-niche-review-from-keyword .cursor/skills/linkfox-jiimore-get-niche-review-from-keyword && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linkfox-jiimore-get-niche-review-from-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-jiimore-get-niche-review-from-keyword into .cursor/skills/linkfox-jiimore-get-niche-review-from-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-jiimore-get-niche-review-from-keyword", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/linkfox-ai/linkfox-skills.git --path skills/linkfox-jiimore-get-niche-review-from-keyword--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-jiimore-get-niche-review-from-keyword -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-jiimore-get-niche-review-from-keyword --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkfox-jiimore-get-niche-review-from-keyword .gemini/skills/linkfox-jiimore-get-niche-review-from-keyword && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linkfox-jiimore-get-niche-review-from-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-jiimore-get-niche-review-from-keyword into .gemini/skills/linkfox-jiimore-get-niche-review-from-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-jiimore-get-niche-review-from-keyword", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install linkfox-ai/linkfox-skills linkfox-jiimore-get-niche-review-from-keywordInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-jiimore-get-niche-review-from-keyword -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkfox-jiimore-get-niche-review-from-keyword .github/skills/linkfox-jiimore-get-niche-review-from-keyword && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-jiimore-get-niche-review-from-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-jiimore-get-niche-review-from-keyword into .github/skills/linkfox-jiimore-get-niche-review-from-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-jiimore-get-niche-review-from-keyword", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-jiimore-get-niche-review-from-keyword -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-jiimore-get-niche-review-from-keyword --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkfox-ai/linkfox-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkfox-jiimore-get-niche-review-from-keyword .opencode/skills/linkfox-jiimore-get-niche-review-from-keyword && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linkfox-jiimore-get-niche-review-from-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-jiimore-get-niche-review-from-keyword into .opencode/skills/linkfox-jiimore-get-niche-review-from-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-jiimore-get-niche-review-from-keyword", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
linkfox-jiimore-get-niche-review-from-keyword- GitHub stars
- 107
- Used in
- 1 other repo
- Token cost
- ~3k tokens
- SKILL.md length
- 1,185 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
亚马逊细分市场评论分析与消费者情感洞察。当用户提到细分市场评论分析、消费者情感、用户痛点、客户反馈洞察、评论主题分析、好评差评拆解、细分市场舆情挖掘、产品评论情感分析、niche market reviews, consumer sentiment, customer pain points, review topic analysis, positive/negative reviews…
- Works in 7 steps: Present data clearly: Show review topics… → Percentage formatting: Convert 0-1 scale… → Sentiment separation: When presenting… → …
- SKILL.md covers Core Concepts, Supported Marketplaces, 调用方式 and 解决认证和算力问题, plus 5 more sections
- Runs Python scripts from its folder; calls python; needs LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY
What it does
Linkfox Jiimore Get Niche Review From Keyword is an agent skill from linkfox-ai/linkfox-skills. 亚马逊细分市场评论分析与消费者情感洞察。当用户提到细分市场评论分析、消费者情感、用户痛点、客户反馈洞察、评论主题分析、好评差评拆解、细分市场舆情挖掘、产品评论情感分析、niche market reviews, consumer sentiment, customer pain points, review topic analysis, positive/negative reviews, opinion mining, Jiimore data时触发此技能。即使用户未明确提及"细分市场评论"，只要其需求涉及分析亚马逊细分市场中的消费者评论或理解细分市场层面的客户情感，也应触发此技能。
Its SKILL.md is about 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/jiimore_get_niche_review.py`).
The licence is MIT.
Example prompts
- “细分市场评论”
- “/linkfox-jiimore-get-niche-review-from-keyword”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Present data clearly: Show review topics in a well-organized table. Include the niche name, review type (positive/negative), topic…
- Percentage formatting: Convert 0-1 scale values to percentages for display (e.g., 0.15 -> 15%)
- Sentiment separation: When presenting results, group or clearly label positive vs. negative reviews so users can quickly identify…
- Actionable insight framing: While showing data objectively, highlight high-mention-percentage negative reviews as potential product…
- Volume notice: When results are large, show the most relevant data first and remind users about pagination options
- Error handling: When a query fails, explain the reason and suggest adjusting the keyword or filter criteria
- Language reminder: If a user provides a keyword in the wrong language for the target marketplace, remind them to use the marketplace's…
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 Jiimore Get Niche Review From Keyword loads about 3k tokens when it runs, and up to ~5.9k if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 1,185 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). 1,185 words, ~3,021 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-jiimore-get-niche-review-from-keyword/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- linkfox-jiimore-get-niche-review-from-keyword
- description
- 亚马逊细分市场评论分析与消费者情感洞察。当用户提到细分市场评论分析、消费者情感、用户痛点、客户反馈洞察、评论主题分析、好评差评拆解、细分市场舆情挖掘、产品评论情感分析、niche market reviews, consumer sentiment, customer pain points, review topic analysis, positive/negative reviews, opinion mining, Jiimore data时触发此技能。即使用户未明确提及"细分市场评论"，只要其需求涉及分析亚马逊细分市场中的消费者评论或理解细分市场层面的客户情感，也应触发此技能。
Jiimore Niche Review from Keyword
This skill guides you on how to query and analyze Amazon niche market review data powered by Jiimore, helping Amazon sellers uncover consumer sentiment, pain points, and real demand signals from product reviews within niche markets.
Core Concepts
Niche Review Analysis aggregates and categorizes customer reviews across products in an Amazon niche market. Given a keyword, the system identifies the relevant niche markets, extracts review topics, classifies them as positive or negative, and shows how frequently each topic is mentioned. This enables sellers to understand what customers love, what frustrates them, and where product improvement opportunities exist.
Review types: Each review entry is classified as either "positive" or "negative", reflecting the overall sentiment of that review topic.
Mention percentage: The percentOfMentions value (0-1 scale, representing 0%-100%) indicates how frequently a particular topic appears across all reviews in the niche. A higher percentage means more customers are talking about that topic.
Supported Marketplaces
US (United States), JP (Japan), DE (Germany)
Default marketplace is US. Use US when the user does not specify a marketplace.
调用方式
- API 端点：
POST /jiimore/getNicheReviewFromKeyword（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/jiimore_get_niche_review.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-jiimore-get-niche-review-from-keyword-<timestamp>.json（<cwd>为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；<session>取自环境变量SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错） - 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。
Parameter Guide
Required Parameter
| Parameter | Type | Description |
|---|---|---|
| keyword | string | The search keyword (max 1000 chars). Must be in the language of the target marketplace (English for US, German for DE, Japanese for JP) |
Marketplace & Pagination
| Parameter | Type | Default | Description |
|---|---|---|---|
| countryCode | string | US | Country code: US, JP, or DE |
| page | integer | 1 | Page number (starting from 1) |
| pageSize | integer | 50 | Results per page (10-100) |
Sorting
| Parameter | Type | Default | Description |
|---|---|---|---|
| sortField | string | unitsSoldT7 | Field to sort by (see Sortable Fields below) |
| sortType | string | desc | Sort direction: desc (descending) or asc (ascending) |
Sortable Fields:
| Field | Description |
|---|---|
| unitsSoldT7 | Units sold (7-day) |
| searchVolumeT7 | Search volume (7-day) |
| searchVolumeGrowthT7 | Search volume growth (7-day) |
| clickConversionRateT7 | Click conversion rate (7-day) |
| searchConversionRateT7 | Search conversion rate (7-day) |
| clickCountT7 | Click count (7-day) |
| demand | Demand score |
| avgPrice | Average price |
| maximumPrice | Maximum price |
| minimumPrice | Minimum price |
| productCount | Product count |
| brandCount | Brand count |
| top5BrandsClickShare | Top 5 brands click share |
| top5ProductsClickShare | Top 5 products click share |
| clickCountT90 | Click count (90-day) |
| clickConversionRateT90 | Click conversion rate (90-day) |
| searchConversionRateT90 | Search conversion rate (90-day) |
| searchVolumeT90 | Search volume (90-day) |
| unitsSoldT90 | Units sold (90-day) |
| unitsSoldGrowthT90 | Units sold growth (90-day) |
| searchVolumeGrowthT90 | Search volume growth (90-day) |
| returnRateT360 | Return rate (360-day) |
| newProductsLaunchedT180 | New products launched (180-day) |
| successfulLaunchesT180 | Successful launches (180-day) |
| launchRateT180 | Launch success rate (180-day) |
| acos | ACOS |
| profitRate50 | Profit rate at 50% organic orders |
Niche Filtering Parameters
All filter parameters follow a min/max range pattern. Values for percentage-based fields use a 0-1 scale (e.g., 0.05 = 5%).
Product & Brand Metrics:
| Parameter | Type | Description |
|---|---|---|
| productCountMin / productCountMax | integer | Product count range |
| brandCountMin / brandCountMax | integer | Brand count range |
| avgPriceMin / avgPriceMax | number | Average price range |
Sales & Search Volume:
| Parameter | Type | Description |
|---|---|---|
| unitsSoldT7Min / unitsSoldT7Max | integer | Units sold (7-day) range |
| searchVolumeT7Min / searchVolumeT7Max | integer | Search volume (7-day) range |
| clickCountT7Min / clickCountT7Max | integer | Click count (7-day) range |
Conversion & Click Rates (0-1 scale):
| Parameter | Type | Description |
|---|---|---|
| clickConversionRateT7Min / clickConversionRateT7Max | number | Click conversion rate (7-day) range |
Market Concentration (0-1 scale):
| Parameter | Type | Description |
|---|---|---|
| top5BrandsClickShareMin / top5BrandsClickShareMax | number | Top 5 brands click share range |
| top5ProductsClickShareMin / top5ProductsClickShareMax | number | Top 5 products click share range |
| sponsoredProductsPercentageMin / sponsoredProductsPercentageMax | number | SP ad percentage range |
Brand & Seller Age:
| Parameter | Type | Description |
|---|---|---|
| avgBrandAgeMin / avgBrandAgeMax | number | Average brand age (current) |
| avgBrandAgeQoqMin / avgBrandAgeQoqMax | number | Average brand age (90-day) |
| avgBrandAgeYoyMin / avgBrandAgeYoyMax | number | Average brand age (360-day) |
| avgSellingPartnerAgeMin / avgSellingPartnerAgeMax | number | Average seller age (current) |
| avgSellingPartnerAgeQoqMin / avgSellingPartnerAgeQoqMax | number | Average seller age (90-day) |
| avgSellingPartnerAgeYoyMin / avgSellingPartnerAgeYoyMax | number | Average seller age (360-day) |
New Product & Return Metrics (0-1 scale):
| Parameter | Type | Description |
|---|---|---|
| launchRateT180Min / launchRateT180Max | number | Launch success rate (180-day) range |
| newProductRateT180 | number | New product percentage (180-day) min |
| returnRateT360Min / returnRateT360Max | number | Return rate (360-day) range |
Advertising:
| Parameter | Type | Description |
|---|---|---|
| cpcMediumMin / cpcMediumMax | number | CPC (current) range |
Usage Examples
1. Basic niche review lookup for a keyword
Analyze customer reviews in niche markets related to "yoga mat" on the US marketplace.Parameters: {"keyword": "yoga mat", "countryCode": "US"}
2. Find niche reviews with high search volume
Show me niche market reviews for "wireless earbuds" where 7-day search volume is above 10000.Parameters: {"keyword": "wireless earbuds", "countryCode": "US", "searchVolumeT7Min": 10000}
3. Low competition niches with review insights
Find review insights for "pet bed" niches where top 5 brands hold less than 30% click share.Parameters: {"keyword": "pet bed", "countryCode": "US", "top5BrandsClickShareMax": 0.3}
4. Japanese market niche reviews
Analyze niche reviews for wireless earbuds on the Japan marketplace.Parameters: {"keyword": "wireless earbuds", "countryCode": "JP"}
5. Sorted by demand score
Show niche reviews for "kitchen organizer" sorted by demand score in descending order.Parameters: {"keyword": "kitchen organizer", "sortField": "demand", "sortType": "desc"}
6. Filter by new product success rate
Find niches for "phone case" where the 180-day new product launch success rate is above 20%.Parameters: {"keyword": "phone case", "launchRateT180Min": 0.2}
7. Low return rate niches
Show review topics for "water bottle" niches with return rates below 5%.Parameters: {"keyword": "water bottle", "returnRateT360Max": 0.05}
Show full SKILL.md (430 more words)Show less
Display Rules
- Present data clearly: Show review topics in a well-organized table. Include the niche name, review type (positive/negative), topic, mention percentage, and a review example
- Percentage formatting: Convert 0-1 scale values to percentages for display (e.g., 0.15 -> 15%)
- Sentiment separation: When presenting results, group or clearly label positive vs. negative reviews so users can quickly identify opportunities and pain points
- Actionable insight framing: While showing data objectively, highlight high-mention-percentage negative reviews as potential product improvement opportunities, and high-mention-percentage positive reviews as features to emphasize in listings
- Volume notice: When results are large, show the most relevant data first and remind users about pagination options
- Error handling: When a query fails, explain the reason and suggest adjusting the keyword or filter criteria
- Language reminder: If a user provides a keyword in the wrong language for the target marketplace, remind them to use the marketplace's native language (English for US, German for DE, Japanese for JP)
User Expression & Scenario Quick Reference
Applicable -- Consumer review and sentiment analysis within Amazon niche markets:
| User Says | Scenario |
|---|---|
| "What do customers say about XX" | Niche review topic lookup |
| "Customer pain points for XX" | Negative review analysis |
| "What features do buyers love in XX" | Positive review analysis |
| "Review sentiment for XX niche" | Full sentiment breakdown |
| "Consumer demand insights for XX" | Demand signal extraction from reviews |
| "Common complaints about XX products" | Negative topic mining |
| "What makes XX products popular" | Positive topic mining |
| "Niche market review analysis" | General niche review exploration |
Not applicable -- Needs beyond niche review analysis:
- Individual ASIN review analysis (this tool works at the niche/market level)
- Keyword search volume trends without review context (use ABA data tools instead)
- Product listing optimization or copywriting
- Advertising strategy and PPC management
- Sales estimation or revenue forecasting
Boundary judgment: When users say "market research" or "product opportunity", if their intent focuses on understanding consumer sentiment, review topics, and pain points within a niche market, this skill applies. If they are asking about search volume trends, pricing strategy, or sales data without review context, it does not apply.
算力消耗规则
消耗 9 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, 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
Files
SKILL.md and 4 other files (scripts, references) in skills/linkfox-jiimore-get-niche-review-from-keyword of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/jiimore_get_niche_review.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 Jiimore Get Niche Review From Keyword next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkfox Jiimore Get Niche Review From Keyword this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~3k | Automated safety check: Pass | MIT | |
| SEO Aeo Keyword Researchsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Keyword Extractorsickn33/agentic-awesome-skills | 47k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| SEO Keyword Nicheseranking/seo-skills | 161 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Keyword Researchaaron-he-zhu/aaron-marketing-skills | 2.9k | 1 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Keyword ResearchRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~581 | Automated safety check: Pass | MIT |
Similar skills
Keyword Extractor
sickn33/agentic-awesome-skills
Extracts up to 50 highly relevant SEO keywords from text. An agent skill from sickn33/agentic-awesome-skills.
SEO Keyword Niche
seranking/seo-skills
Mine longtail keywords + question keywords for a topic at scale to surface niche content opportunities.
Keyword Research
aaron-he-zhu/aaron-marketing-skills
A skill your agent uses when the user asks to "find keywords", "挖词", or "搜什么词"; prioritizes search volume, keyword difficulty, intent, and topic clusters from provided or connected data.
Keyword Research
Ryze-AI-Adgent/open-seo-mcp-skills
Keyword research from a seed topic — ideas, real Google volume/CPC, intent, difficulty, clustered into a plan.
Keyword Stuffing
thedaviddias/Front-End-Checklist
A skill your agent uses when auditing content pages for over-optimisation, reviewing AI-generated content that may repeat target phrases excessively, or checking meta tags and alt text for unnatural…
More from linkfox-ai/linkfox-skills
All 177 skills in this repoLinkfox 1688 Search By Image
linkfox-ai/linkfox-skills
1688平台以图搜图，通过商品图片精准检索外观相似或同款的1688货源，返回标题、价格、起批量、月销量、复购率、交易评分等核心数据。当用户提到1688以图搜图、1688找货源、以图找同款、跨境找工厂、1688识图、图片找货源、找相似货源、image search 1688、find supplier by…
Linkfox Aba Intelligent Query
linkfox-ai/linkfox-skills
亚马逊ABA（品牌分析）搜索词数据的查询与分析，涵盖15个站点近3年的周维度数据。当用户提到ABA数据、亚马逊搜索词分析、关键词挖掘、搜索排名趋势、市场机会分析、季节性关键词、高点击低转化分析、蓝海词发现、竞品关键词分析、ABA data, search term report, keyword mining, search ranking trends, blue ocean…
Linkfox Amazon Alexa Search
linkfox-ai/linkfox-skills
通过亚马逊前台的 Alexa 购物助手发起自然语言问答，获取与问题相关的导购回答、推荐商品分组、ASIN 列表，以及可继续追问的问题。每次调用仅支持 1 条 prompt，如需追问须由 agent 总结上下文后拼接新问题发起新请求。可用 url 补充亚马逊页面上下文。当用户提到亚马逊 Alexa、Alexa 购物助手、亚马逊智能助手、AI…
Linkfox 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…
Questions about Linkfox Jiimore Get Niche Review From Keyword
What does Linkfox Jiimore Get Niche Review From Keyword do?
亚马逊细分市场评论分析与消费者情感洞察。当用户提到细分市场评论分析、消费者情感、用户痛点、客户反馈洞察、评论主题分析、好评差评拆解、细分市场舆情挖掘、产品评论情感分析、niche market reviews, consumer sentiment, customer pain points, review topic analysis, positive/negative reviews…. Linkfox Jiimore Get Niche Review From Keyword is an agent skill from linkfox-ai/linkfox-skills.
How do I install Linkfox Jiimore Get Niche Review From Keyword in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-jiimore-get-niche-review-from-keyword -a claude-code`. Or copy the skill folder (skills/linkfox-jiimore-get-niche-review-from-keyword in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-jiimore-get-niche-review-from-keyword in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Jiimore Get Niche Review From Keyword in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-jiimore-get-niche-review-from-keyword -a codex`. Or copy the skill folder (skills/linkfox-jiimore-get-niche-review-from-keyword in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-jiimore-get-niche-review-from-keyword in your project. Codex loads it when a task matches its description.
Can I use Linkfox Jiimore Get Niche Review From Keyword 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-jiimore-get-niche-review-from-keyword -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkfox-jiimore-get-niche-review-from-keyword, .gemini/skills/linkfox-jiimore-get-niche-review-from-keyword, .github/skills/linkfox-jiimore-get-niche-review-from-keyword and .opencode/skills/linkfox-jiimore-get-niche-review-from-keyword in your project.
What does Linkfox Jiimore Get Niche Review From Keyword need to run?
Going by SKILL.md and its folder, Linkfox Jiimore Get Niche Review From Keyword needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named LINKFOX_AGENT_API_KEY and LINKFOXAGENT_API_KEY. Our summary lists: Python 3; A credential in LINKFOX_AGENT_API_KEY; A credential in LINKFOXAGENT_API_KEY.
Does Linkfox Jiimore Get Niche Review From Keyword 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 Jiimore Get Niche Review From Keyword 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 Jiimore Get Niche Review From Keyword use?
Linkfox Jiimore Get Niche Review From Keyword 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 Jiimore Get Niche Review From Keyword use?
About 3k tokens (SKILL.md is roughly 12k 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 2.9k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Jiimore Get Niche Review From Keyword?
Skills that share tags, products or a category with Linkfox Jiimore Get Niche Review From Keyword: SEO Aeo Keyword Research (sickn33/agentic-awesome-skills, 47k stars), Keyword Extractor (sickn33/agentic-awesome-skills, 47k stars), SEO Keyword Niche (seranking/seo-skills, 161 stars) and Keyword Research (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Jiimore Get Niche Review From Keyword?
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.