Sif Keyword Tracker
binggandata/bggg-skills
Sif 关键词动态跟踪（Skill 2）。同一 ASIN 有历史时由 sif-keyword-scout 自动触发， 按 1~7 天窗口对比 PD 主攻词单，输出词库更新报告。Agent 必须写 insightstracker.md， 且在写 insights 前完成暂停点 ③ 与用户确认投放策略。
亚马逊市场关键词竞争度的SIF概览分析。当用户提到关键词竞争度、供需比、竞品数量、关键词搜索量估算、市场竞争力评估、关键词热度排名、广告竞争分析、某个关键词下的商品数量、keyword competition, supply-demand ratio, competitor count, search popularity, market competition analysis, SIF…
MITAuto-check passed
Install Linkfox Sif Keyword Overview
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-sif-keyword-overview -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sif-keyword-overview --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-sif-keyword-overview .claude/skills/linkfox-sif-keyword-overview && 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-sif-keyword-overview" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sif-keyword-overview into .claude/skills/linkfox-sif-keyword-overview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sif-keyword-overview", 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-sif-keyword-overviewType 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-sif-keyword-overview -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sif-keyword-overview --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-sif-keyword-overview .agents/skills/linkfox-sif-keyword-overview && 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-sif-keyword-overview" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sif-keyword-overview into .agents/skills/linkfox-sif-keyword-overview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sif-keyword-overview", 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-sif-keyword-overview -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sif-keyword-overview --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-sif-keyword-overview .cursor/skills/linkfox-sif-keyword-overview && 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-sif-keyword-overview" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sif-keyword-overview into .cursor/skills/linkfox-sif-keyword-overview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sif-keyword-overview", 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-sif-keyword-overview--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-sif-keyword-overview -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-sif-keyword-overview --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-sif-keyword-overview .gemini/skills/linkfox-sif-keyword-overview && 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-sif-keyword-overview" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sif-keyword-overview into .gemini/skills/linkfox-sif-keyword-overview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sif-keyword-overview", 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-sif-keyword-overviewInstalls 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-sif-keyword-overview -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-sif-keyword-overview .github/skills/linkfox-sif-keyword-overview && 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-sif-keyword-overview" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sif-keyword-overview into .github/skills/linkfox-sif-keyword-overview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sif-keyword-overview", 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-sif-keyword-overview -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-sif-keyword-overview --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-sif-keyword-overview .opencode/skills/linkfox-sif-keyword-overview && 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-sif-keyword-overview" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-sif-keyword-overview into .opencode/skills/linkfox-sif-keyword-overview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-sif-keyword-overview", 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-sif-keyword-overview- GitHub stars
- 107
- Used in
- 1 other repo
- Token cost
- ~2.9k tokens
- SKILL.md length
- 1,303 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
亚马逊市场关键词竞争度的SIF概览分析。当用户提到关键词竞争度、供需比、竞品数量、关键词搜索量估算、市场竞争力评估、关键词热度排名、广告竞争分析、某个关键词下的商品数量、keyword competition, supply-demand ratio, competitor count, search popularity, market competition analysis, SIF…
- Works in 5 steps: keyword (required): The search keyword… → country (optional): The Amazon… → last7d (optional, boolean, default… → …
- 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 Sif Keyword Overview is an agent skill from linkfox-ai/linkfox-skills. 亚马逊市场关键词竞争度的SIF概览分析。当用户提到关键词竞争度、供需比、竞品数量、关键词搜索量估算、市场竞争力评估、关键词热度排名、广告竞争分析、某个关键词下的商品数量、keyword competition, supply-demand ratio, competitor count, search popularity, market competition analysis, SIF, keyword overview时触发此技能。即使用户未明确说"SIF"，只要其需求涉及评估亚马逊上关键词层面的竞争强度、供需平衡或搜索结果商品数量，也应触发此技能。
Its SKILL.md is about 2.9k 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`).
The licence is MIT.
Example prompts
- “/linkfox-sif-keyword-overview”
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.
- keyword (required): The search keyword to analyze. Should be translated to the target marketplace's language for best results. Maximum…
- country (optional): The Amazon marketplace code. Defaults to US. See Supported Marketplaces above for valid codes.
- last7d (optional, boolean, default true): Use the latest 7 days. When false, the API uses startDate/endDate.
- startDate (optional, yyyy-MM-dd): Start date for a custom window. Takes effect when last7d=false.
- endDate (optional, yyyy-MM-dd): End date paired with startDate.
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 Sif Keyword Overview loads about 2.9k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 1,303 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). 1,303 words, ~2,870 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-sif-keyword-overview/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- linkfox-sif-keyword-overview
- description
- 亚马逊市场关键词竞争度的SIF概览分析。当用户提到关键词竞争度、供需比、竞品数量、关键词搜索量估算、市场竞争力评估、关键词热度排名、广告竞争分析、某个关键词下的商品数量、keyword competition, supply-demand ratio, competitor count, search popularity, market competition analysis, SIF, keyword overview时触发此技能。即使用户未明确说"SIF"，只要其需求涉及评估亚马逊上关键词层面的竞争强度、供需平衡或搜索结果商品数量，也应触发此技能。
SIF Keyword Overview
This skill guides you on how to query and analyze keyword-level competition data on Amazon, helping sellers assess market competitiveness and supply-demand dynamics for specific keywords.
Core Concepts
The SIF Keyword Overview tool provides a comprehensive snapshot of competition metrics for a given keyword on Amazon. It returns the number of competing products across different placement types (organic, sponsored, video ads, brand ads, etc.), estimated weekly search volume, keyword popularity ranking, and the supply-demand ratio.
Supply-demand ratio: Calculated as total search result product count / monthly search volume. A lower ratio indicates less competition and greater opportunity. This is a key metric for identifying blue-ocean keywords.
Keyword popularity ranking: Represents where this keyword ranks among all keywords on the marketplace by monthly search volume. A smaller number means higher search popularity (rank 1 is the most popular). When a user says "ranking improved," it means the numeric value decreased; "ranking dropped" means the value increased.
Data Fields
| Field | API Name | Description |
|---|---|---|
| Keyword | keyword | The queried keyword text |
| Keyword Popularity Rank | keywordPopularityRank | Monthly search volume rank among all keywords (lower = more popular) |
| Estimated Weekly Search Volume | estimatedWeeklySearchVolume | Estimated weekly search count on Amazon |
| Supply-Demand Ratio | supplyDemandRatio | Product count / monthly search volume (lower = less competition) |
| Total Search Result Products | totalSearchResultProductCount | Total products shown under this keyword (organic + ads + recommendations) |
| Natural Search Products | naturalSearchProductCount | Products in organic search results (excluding ads) |
| Sponsored Products (SP) Count | sponsoredProductsCount | Products running Sponsored Products ads |
| Brand Ad Products | brandAdProductCount | Products running Brand Ads |
| Video Ad Products | videoAdProductCount | Products running Video Ads |
| Total Paid Advertising Products | paidAdvertisingProductCount | All PPC ad products combined (SP + Brand + Video, etc.) |
| Amazon's Choice Products | amazonChoiceProductCount | Products with the Amazon's Choice badge |
| Top Rated Products | topRatedProductCount | Products in the Top Rated recommendation section |
| Search Recommendation Products | searchRecommendationProductCount | Products recommended by Amazon during search |
| Editorial Recommendations Products | editorialRecommendationsProductCount | Products in Editorial Recommendations section |
| Recommendation Non-ad Products | recNonadProductCount | Products in recommendation slots classified as non-ad (organic recommendations) |
| Recommendation Ad Products | recAdProductCount | Products in recommendation slots classified as ads |
| SIF-Tracked Exposed ASINs | trackedAsinTotalCount | Deduplicated count of ASINs that SIF tracked with any exposure score (natural/ad/recommendation) — upstream field totalAsinNum |
| Total Marketplace Keywords | totalMarketplaceKeywordCount | Total number of keywords in the marketplace |
| Data Period Start Date | dataPeriodStartDate | ABA week start date for the returned data (yyyy-MM-dd) |
| Data Period End Date | dataPeriodEndDate | ABA week end date for the returned data (yyyy-MM-dd) |
| Data Update Time | keywordDataUpdateTime | Last update timestamp for this keyword's data |
Supported Marketplaces
13 marketplaces: US (United States), UK (United Kingdom), DE (Germany), CA (Canada), JP (Japan), FR (France), ES (Spain), IT (Italy), MX (Mexico), AU (Australia), AE (United Arab Emirates), BR (Brazil), SA (Saudi Arabia).
Default marketplace is US. Use US when the user does not specify a marketplace. Codes outside this list will be rejected by the API pattern.
Important: The keyword parameter should ideally be in the language of the target marketplace. For example, use German keywords for DE, Japanese for JP, etc. If the user provides keywords in a different language, translate them to the marketplace's local language before querying.
调用方式
- API 端点：
POST /sif/keywordOverview（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/sif_keyword_overview.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-sif-keyword-overview-<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
- keyword (required): The search keyword to analyze. Should be translated to the target marketplace's language for best results. Maximum length: 1000 characters.
- country (optional): The Amazon marketplace code. Defaults to
US. See Supported Marketplaces above for valid codes. - last7d (optional, boolean, default
true): Use the latest 7 days. Whenfalse, the API usesstartDate/endDate. - startDate (optional,
yyyy-MM-dd): Start date for a custom window. Takes effect whenlast7d=false. - endDate (optional,
yyyy-MM-dd): End date paired withstartDate.
Usage Examples
1. Basic keyword competition check Query: "How competitive is the keyword 'wireless charger' on Amazon US?"
{"keyword": "wireless charger", "country": "US"}2. Check competition in a non-US marketplace Query: "How many competitors are there for 'Handyhulle' on Amazon Germany?"
{"keyword": "Handyhulle", "country": "DE"}3. Supply-demand analysis for product research Query: "What's the supply-demand ratio for 'yoga mat' in the US?"
{"keyword": "yoga mat", "country": "US"}4. Advertising competition assessment Query: "How many sellers are running ads on 'dog leash' in the UK?"
{"keyword": "dog leash", "country": "UK"}5. Multi-marketplace comparison (multiple calls) Query: "Compare the competition for 'bluetooth speaker' across US, UK, and DE"
- Call 1:
{"keyword": "bluetooth speaker", "country": "US"} - Call 2:
{"keyword": "bluetooth speaker", "country": "UK"} - Call 3:
{"keyword": "Bluetooth Lautsprecher", "country": "DE"}
6. Specific date range Query: "Competition for 'yoga mat' between 2026-03-08 and 2026-03-14"
{"keyword": "yoga mat", "country": "US", "last7d": false, "startDate": "2026-03-08", "endDate": "2026-03-14"}Show full SKILL.md (531 more words)Show less
Display Rules
- Present data clearly: Show query results in a well-structured table format. Include all relevant metrics the user asked about.
- Highlight key metrics: When showing results, emphasize the supply-demand ratio, keyword popularity rank, and total product count as these are the most actionable metrics.
- Ranking clarification: When displaying keyword popularity rank, remind users that lower values mean higher search popularity.
- Supply-demand interpretation: When showing the supply-demand ratio, provide context: values below 1 suggest high demand relative to supply (opportunity); values above 5 suggest a saturated market.
- Ad competition breakdown: When users ask about advertising competition, break down the total paid advertising count into its components (SP, Brand, Video) for a more detailed view.
- Error handling: When a query fails, explain the reason based on the
msgfield and suggest adjusting query parameters (e.g., check keyword spelling, try a different marketplace). - Data freshness & period: Always surface
keywordDataUpdateTime(last refresh) plusdataPeriodStartDate~dataPeriodEndDate(the ABA week the counts describe). Do not present product counts without naming the period. - No subjective advice: Present data objectively without making business recommendations unless specifically asked.
Important Limitations
- Single keyword per request: Each API call queries one keyword at a time. For multi-keyword comparisons, make separate calls.
- Single record response: The API typically returns one data record per keyword (
totalis usually 1). - Marketplace coverage: 13 Amazon marketplaces — IN / NL / SE / PL / TR / SG are no longer supported. Keywords not found in the queried marketplace will return empty results.
- Time window: Defaults to the latest 7 days. Pass
last7d=falseplusstartDate/endDatefor a custom ABA week range. - Keyword language: For best accuracy, keywords should be in the local language of the target marketplace.
User Expression & Scenario Quick Reference
Applicable -- Keyword-level competition and market assessment:
| User Says | Scenario |
|---|---|
| "How competitive is XX keyword" | Competition intensity check |
| "How many products are there for XX" | Search result product count |
| "What's the supply-demand ratio for XX" | Supply-demand analysis |
| "How many sellers are advertising on XX" | Ad competition assessment |
| "Is XX keyword a blue ocean" | Market opportunity evaluation |
| "Search volume for XX keyword" | Search popularity estimation |
| "How popular is XX keyword on Amazon" | Keyword popularity ranking |
| "Compare competition across marketplaces" | Multi-market competition comparison |
| "How many SIF-tracked ASINs are active on this keyword" | Deduplicated tracked-ASIN count (trackedAsinTotalCount) |
| "Competition for this keyword in a specific week" | Custom date range via startDate/endDate |
Not applicable -- Needs beyond keyword competition overview:
- Historical keyword ranking trends over time (use ABA Data Explorer instead)
- Click share and conversion share by ASIN (use ABA Data Explorer instead)
- Advertising bid strategy and PPC optimization
- Product reviews, listing optimization
- ASIN-level sales estimation
- Detailed keyword search trend analysis over weeks/months
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.
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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-sif-keyword-overview of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/onboarding.py
- scripts/sif_keyword_overview.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.
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| Linkfox Sif Keyword Overview this skilllinkfox-ai/linkfox-skills | 107 | 1 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Sif Keyword Trackerbinggandata/bggg-skills | 605 | — | ~383 | Automated safety check: Pass | MIT | |
| SEO Aeo Keyword Researchsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Sif Keyword Scoutbinggandata/bggg-skills | 605 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Keyword Extractorsickn33/agentic-awesome-skills | 47k | 2 repos | ~1.1k | 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 |
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Questions about Linkfox Sif Keyword Overview
What does Linkfox Sif Keyword Overview do?
亚马逊市场关键词竞争度的SIF概览分析。当用户提到关键词竞争度、供需比、竞品数量、关键词搜索量估算、市场竞争力评估、关键词热度排名、广告竞争分析、某个关键词下的商品数量、keyword competition, supply-demand ratio, competitor count, search popularity, market competition analysis, SIF…. Linkfox Sif Keyword Overview is an agent skill from linkfox-ai/linkfox-skills.
How do I install Linkfox Sif Keyword Overview in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sif-keyword-overview -a claude-code`. Or copy the skill folder (skills/linkfox-sif-keyword-overview in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-sif-keyword-overview in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Sif Keyword Overview in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-sif-keyword-overview -a codex`. Or copy the skill folder (skills/linkfox-sif-keyword-overview in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-sif-keyword-overview in your project. Codex loads it when a task matches its description.
Can I use Linkfox Sif Keyword Overview 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-sif-keyword-overview -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-sif-keyword-overview, .gemini/skills/linkfox-sif-keyword-overview, .github/skills/linkfox-sif-keyword-overview and .opencode/skills/linkfox-sif-keyword-overview in your project.
What does Linkfox Sif Keyword Overview need to run?
Going by SKILL.md and its folder, Linkfox Sif Keyword Overview 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 Sif Keyword Overview 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 Sif Keyword Overview 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 Sif Keyword Overview use?
Linkfox Sif Keyword Overview 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 Sif Keyword Overview use?
About 2.9k 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 2.3k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Sif Keyword Overview?
Skills that share tags, products or a category with Linkfox Sif Keyword Overview: Sif Keyword Tracker (binggandata/bggg-skills, 605 stars), SEO Aeo Keyword Research (sickn33/agentic-awesome-skills, 47k stars), Sif Keyword Scout (binggandata/bggg-skills, 605 stars) and Keyword Extractor (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Sif Keyword Overview?
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.