Amazon Keyword Research
nexscope-ai/Amazon-Skills
Amazon keyword research and market opportunity analysis for sellers.
按关键词查询亚马逊商业洞察报告，涵盖市场潜力、产品特征、用户评论、客户画像、搜索趋势、定价分析六大维度的AI 综合分析。当用户提到亚马逊商业洞察、市场洞察报告、选品报告、市场机会分析、竞争格局、消费者画像、定价分析、细分市场调研、Amazon opportunity report, market insight, business insight, market potential…
MITAuto-check passed
Install Linkfox Amazon Opportunity Report By Keyword
$ npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-opportunity-report-by-keyword -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword .claude/skills/linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-opportunity-report-by-keyword into .claude/skills/linkfox-amazon-opportunity-report-by-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword .agents/skills/linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-opportunity-report-by-keyword into .agents/skills/linkfox-amazon-opportunity-report-by-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword .cursor/skills/linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-opportunity-report-by-keyword into .cursor/skills/linkfox-amazon-opportunity-report-by-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkfox-ai/linkfox-skills linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword .gemini/skills/linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-opportunity-report-by-keyword into .gemini/skills/linkfox-amazon-opportunity-report-by-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-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-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword .github/skills/linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-opportunity-report-by-keyword into .github/skills/linkfox-amazon-opportunity-report-by-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-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-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword .opencode/skills/linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword" agent skill from https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-amazon-opportunity-report-by-keyword into .opencode/skills/linkfox-amazon-opportunity-report-by-keyword/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkfox-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword- GitHub stars
- 107
- Token cost
- ~1.5k tokens
- SKILL.md length
- 645 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 177
- Repo updated
- First seen
- Licence
- MIT
At a glance
按关键词查询亚马逊商业洞察报告，涵盖市场潜力、产品特征、用户评论、客户画像、搜索趋势、定价分析六大维度的AI 综合分析。当用户提到亚马逊商业洞察、市场洞察报告、选品报告、市场机会分析、竞争格局、消费者画像、定价分析、细分市场调研、Amazon opportunity report, market insight, business insight, market potential…
- Works in 6 steps: Market Potential - Search volume, demand… → Product Characteristics - Common product… → User Reviews - Customer sentiment, pain… → …
- SKILL.md covers Core Concepts, Parameters, 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 Amazon Opportunity Report By Keyword is an agent skill from linkfox-ai/linkfox-skills. 按关键词查询亚马逊商业洞察报告，涵盖市场潜力、产品特征、用户评论、客户画像、搜索趋势、定价分析六大维度的AI 综合分析。当用户提到亚马逊商业洞察、市场洞察报告、选品报告、市场机会分析、竞争格局、消费者画像、定价分析、细分市场调研、Amazon opportunity report, market insight, business insight, market potential, competitive landscape, consumer behavior, pricing analysis, product selection report, niche analysis时触发此技能。即使用户未明确说"商业洞察"，只要其需求涉及对某个亚马逊关键词做全面的市场机会评估或综合性报告生成，也应触发此技能。
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api.md`, `references/onboarding.md` and `scripts/amazon_opportunity_report.py`).
The licence is MIT.
Example prompts
- “/linkfox-amazon-opportunity-report-by-keyword”
Requirements
- Python 3
- A credential in LINKFOX_AGENT_API_KEY
- A credential in LINKFOXAGENT_API_KEY
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Market Potential - Search volume, demand trends, and growth opportunity
- Product Characteristics - Common product attributes, materials, features
- User Reviews - Customer sentiment, pain points, and satisfaction drivers
- Customer Profile - Buyer demographics, preferences, and behavior patterns
- Search Trends - Keyword popularity trajectory and seasonality
- Pricing Analysis - Price distribution, competitive pricing landscape
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 Amazon Opportunity Report By Keyword loads about 1.5k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 101 tokens; SKILL.md has 645 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). 645 words, ~1,549 tokens.
Download SKILL.mdSave it as
.claude/skills/linkfox-amazon-opportunity-report-by-keyword/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- linkfox-amazon-opportunity-report-by-keyword
- description
- 按关键词查询亚马逊商业洞察报告，涵盖市场潜力、产品特征、用户评论、客户画像、搜索趋势、定价分析六大维度的AI 综合分析。当用户提到亚马逊商业洞察、市场洞察报告、选品报告、市场机会分析、竞争格局、消费者画像、定价分析、细分市场调研、Amazon opportunity report, market insight, business insight, market potential, competitive landscape, consumer behavior, pricing analysis, product selection report, niche analysis时触发此技能。即使用户未明确说"商业洞察"，只要其需求涉及对某个亚马逊关键词做全面的市场机会评估或综合性报告生成，也应触发此技能。
Amazon Market Opportunity Report
This skill guides you on how to generate comprehensive AI-powered market insight reports for Amazon keywords, helping sellers make data-driven product selection and market entry decisions.
Core Concepts
This tool generates a comprehensive business insight report by analyzing six core dimensions of an Amazon keyword:
- Market Potential - Search volume, demand trends, and growth opportunity
- Product Characteristics - Common product attributes, materials, features
- User Reviews - Customer sentiment, pain points, and satisfaction drivers
- Customer Profile - Buyer demographics, preferences, and behavior patterns
- Search Trends - Keyword popularity trajectory and seasonality
- Pricing Analysis - Price distribution, competitive pricing landscape
The report is generated by AI from real-time Amazon data and delivered as a structured Markdown document. It is a snapshot analysis for decision support, not a real-time monitoring tool.
Parameters
| Parameter | Type | Required | Description | Default |
|---|---|---|---|---|
| site | string | Yes | Amazon marketplace code (currently US only) | US |
| keyword | string | Yes | The search keyword to analyze | - |
Supported Marketplaces
Currently only US (United States) is supported. Always set site to US. If a user requests other marketplaces, inform them this tool currently only covers the US market.
调用方式
- API 端点：
POST /amazon/opportunity/reportByKeyword（完整参数/响应/错误码见references/api.md） - Python 脚本：
python scripts/amazon_opportunity_report.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-amazon-opportunity-report-by-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。
Usage Examples
1. Basic Market Opportunity Report
帮我搜索美国站，关键词是 hair mousse travel size 的商业洞察报告2. Niche Product Research
帮我生成美国站关键词 magnetic shelves for whiteboard 的商业洞察报告3. Trend-Based Product Selection
我想了解美国站 solar power ac unit 这个关键词的商业洞察，帮我生成报告Display Rules
- No subjective advice: Apply the AI-generated analysis without adding your own business recommendations
- Clarify scope: Remind users the report is based on a point-in-time snapshot and serves as a reference for decision-making
- Error handling: When a query fails, explain the reason based on the
msgfield and suggest checking the keyword or trying again - No secondary analysis: This tool's output cannot be fed into data query tools for further processing - inform users if they attempt this
Important Limitations
- US only: Currently only supports the United States marketplace (site = US)
- Non-structured output: Returns a Markdown report, not structured JSON data. Cannot be used with data query tools for secondary aggregation or analysis
- Processing time: Report generation involves AI analysis and may take longer than simple data lookups
- Snapshot data: Reports reflect data at the time of generation and are not continuously updated
Show full SKILL.md (238 more words)Show less
User Expression & Scenario Quick Reference
Applicable - Comprehensive keyword-level market analysis:
| User Says | Scenario |
|---|---|
| "Help me analyze this keyword's market opportunity" | Market opportunity assessment |
| "Generate a market insight report for XX" | Full insight report |
| "What's the competitive landscape for XX" | Competition & pricing analysis |
| "Consumer profile for XX product" | Customer behavior insights |
| "Is XX keyword worth entering" | Market entry evaluation |
| "选品报告", "商业洞察" | Chinese market research requests |
Not applicable - Needs beyond comprehensive report generation:
- Real-time keyword ranking tracking (use ABA or SIF tools)
- Individual product detail lookup (use product detail tools)
- Historical price tracking (use Keepa)
- Review-level analysis for specific ASINs (use review tools)
- Advertising / PPC strategy
Boundary judgment: When users say "market analysis" or "product research", if they want a holistic, multi-dimensional overview of a keyword's market opportunity, this skill applies. If they need specific data points (exact sales numbers, individual product details, keyword rankings over time), direct them to the appropriate specialized tool.
算力消耗规则
按动态规则计费：消耗算力 = 输入消耗的算力 + 7.5 × 输出消耗的算力。
重要：本技能的服务按倍数动态计算，可能一次性消耗大量算力，必须提醒用户，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-amazon-opportunity-report-by-keyword of linkfox-ai/linkfox-skills.
- SKILL.md
- references/api.md
- references/onboarding.md
- scripts/amazon_opportunity_report.py
- scripts/onboarding.py
Open the folder on GitHubat commit 38fef04
Compare with similar skills
Linkfox Amazon Opportunity Report By 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 Amazon Opportunity Report By Keyword this skilllinkfox-ai/linkfox-skills | 107 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Amazon Keyword Researchnexscope-ai/Amazon-Skills | 744 | — | ~2k | Automated safety check: Pass | MIT | |
| Amazon Keyword Trackernexscope-ai/Amazon-Skills | 744 | — | ~4.9k | Automated safety check: Pass | MIT | |
| Amazon Backend Keywordsnexscope-ai/Amazon-Skills | 744 | — | ~4.9k | Automated safety check: Pass | MIT | |
| Amazon Negative Keywordsnexscope-ai/Amazon-Skills | 744 | — | ~4.8k | Automated safety check: Pass | MIT | |
| SEO Aeo Keyword Researchsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.9k | Automated safety check: Pass | MIT |
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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 Amazon Opportunity Report By Keyword
What does Linkfox Amazon Opportunity Report By Keyword do?
按关键词查询亚马逊商业洞察报告，涵盖市场潜力、产品特征、用户评论、客户画像、搜索趋势、定价分析六大维度的AI 综合分析。当用户提到亚马逊商业洞察、市场洞察报告、选品报告、市场机会分析、竞争格局、消费者画像、定价分析、细分市场调研、Amazon opportunity report, market insight, business insight, market potential…. Linkfox Amazon Opportunity Report By Keyword is an agent skill from linkfox-ai/linkfox-skills.
How do I install Linkfox Amazon Opportunity Report By Keyword in Claude Code?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-opportunity-report-by-keyword -a claude-code`. Or copy the skill folder (skills/linkfox-amazon-opportunity-report-by-keyword in linkfox-ai/linkfox-skills) into .claude/skills/linkfox-amazon-opportunity-report-by-keyword in your project. Claude Code loads it when a task matches its description.
How do I install Linkfox Amazon Opportunity Report By Keyword in Codex?
Run `npx skills add linkfox-ai/linkfox-skills --skill linkfox-amazon-opportunity-report-by-keyword -a codex`. Or copy the skill folder (skills/linkfox-amazon-opportunity-report-by-keyword in linkfox-ai/linkfox-skills) into .agents/skills/linkfox-amazon-opportunity-report-by-keyword in your project. Codex loads it when a task matches its description.
Can I use Linkfox Amazon Opportunity Report By 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-amazon-opportunity-report-by-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-amazon-opportunity-report-by-keyword, .gemini/skills/linkfox-amazon-opportunity-report-by-keyword, .github/skills/linkfox-amazon-opportunity-report-by-keyword and .opencode/skills/linkfox-amazon-opportunity-report-by-keyword in your project.
What does Linkfox Amazon Opportunity Report By Keyword need to run?
Going by SKILL.md and its folder, Linkfox Amazon Opportunity Report By 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 Amazon Opportunity Report By 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 Amazon Opportunity Report By 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 Amazon Opportunity Report By Keyword use?
Linkfox Amazon Opportunity Report By 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 Amazon Opportunity Report By Keyword use?
About 1.5k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.
What are the alternatives to Linkfox Amazon Opportunity Report By Keyword?
Skills that share tags, products or a category with Linkfox Amazon Opportunity Report By Keyword: Amazon Keyword Research (nexscope-ai/Amazon-Skills, 744 stars), Amazon Keyword Tracker (nexscope-ai/Amazon-Skills, 744 stars), Amazon Backend Keywords (nexscope-ai/Amazon-Skills, 744 stars) and Amazon Negative Keywords (nexscope-ai/Amazon-Skills, 744 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkfox Amazon Opportunity Report By 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.