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Agent Skill · 研究检索

amazon-keyword-reverse-lookup(亚马逊关键词反向查找)

amazon-keyword-reverse-lookup 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

amazon-keyword-reverse-lookup 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 25,841。

总安装 3,683周安装 149GitHub Stars 公开资料未说明下载 1,156核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:amazon-keyword-reverse-lookup(亚马逊关键词反向查找)
来源仓库:https://github.com/mguozhen/amazon-keyword-reverse-lookup
安装命令:
openclaw skills install amazon-keyword-reverse-lookup
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install amazon-keyword-reverse-lookup

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

反向查找为特定 ASIN 带来流量的所有关键词,发现隐藏长尾词。用于构建精准 CPC 广告词表与竞品流量分析。支持批量查询与关键词分类整理功能。安装命令:openclaw skills install amazon-keyword-reverse-lookup。需确认是否支持大规模 ASIN 批量处理与速率限制。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install amazon-keyword-reverse-lookup;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

amazon-keyword-reverse-lookup 怎么安装?

在终端执行 openclaw skills install amazon-keyword-reverse-lookup。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

amazon-keyword-reverse-lookup 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

amazon-keyword-reverse-lookup 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

amazon-keyword-reverse-lookup 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

amazon-keyword-reverse-lookup 用的人多吗?

公开数据是累计安装 3,683 次,近一周安装 149 次,下载 1,156 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

amazon-keyword-reverse-lookup 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
amazon-keyword-reverse-lookup

亚马逊关键词反向查找 · 本页

3,683—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
amazon-keyword-reverse-lookup
description
Amazon keyword reverse lookup engine. Find all keywords driving traffic to any ASIN, uncover hidden long-tail opportunities, build CPC ad keyword lists, and optimize listings with data-driven keyword intelligence. Triggers: keyword reverse lookup, asin keyword, amazon keyword research, reverse asin, listing keywords, cpc keyword, ppc keyword, amazon seo keyword, keyword spy, traffic keywords, search terms, backend keywords, keyword extraction
allowed-tools
Bash
metadata
openclaw
homepage
https://github.com/mguozhen/amazon-keyword-reverse-lookup

Amazon Keyword Reverse Lookup Engine

The keyword intelligence engine behind your Amazon Listing optimization and CPC ad targeting. Given an ASIN or product description, uncover every keyword driving traffic — from high-volume head terms to long-tail conversion gold.

Commands

reverse <asin>                    # extract keyword profile for an ASIN
reverse bulk <asin1,asin2,...>    # batch keyword extraction for multiple ASINs
keyword gap <your-asin> <comp>    # find keywords competitor ranks for but you don't
keyword rank check <asin> <kw>    # estimate ranking for specific keyword
keyword cluster <list>            # group keywords by semantic theme
keyword priority                  # score and rank keywords by opportunity
cpc suggest <keyword>             # CPC bid suggestions based on competition
backend generate <product>        # generate backend search terms (249 chars)
listing inject <title> <kws>      # naturally inject keywords into listing copy
keyword save <product>            # save keyword research to workspace

What Data to Provide

  • ASIN — the product to reverse-lookup
  • Competitor ASINs — to find keyword gaps
  • Product title/bullets — for keyword extraction from listing
  • Category — for benchmark search volumes
  • Seed keywords — terms you already know (to expand from)
  • Budget context — CPC budget range for bid suggestions

Keyword Research Framework

Keyword Tier Classification

Tier 1 — Head Terms (Primary keywords):

  • Monthly searches: 10,000+
  • Competition: Very High
  • Use in: Title (first 60 chars), backend
  • Strategy: Must rank here eventually, but may need 6-12 months

Tier 2 — Core Keywords (Secondary keywords):

  • Monthly searches: 1,000-10,000
  • Competition: Medium-High
  • Use in: Title, bullet points, backend
  • Strategy: Primary target for new listings — achievable with 50+ reviews

Tier 3 — Long-tail Keywords (Conversion keywords):

  • Monthly searches: 100-1,000
  • Competition: Low-Medium
  • Use in: Description, backend, PPC exact match
  • Strategy: Launch focus — win these first to build velocity

Tier 4 — Niche Keywords (Discovery keywords):

  • Monthly searches: <100
  • Competition: Very Low
  • Use in: Backend search terms, PPC broad match
  • Strategy: Passive traffic, zero cost to rank for

Keyword Extraction from Listing Text

From a product title/bullets, extract keywords by:

  1. Identify product type (noun phrase)
  2. Extract all modifiers (size, color, material, use case)
  3. Generate all meaningful combinations
  4. Add related synonyms and alternative terms
  5. Add use-case and problem-based phrases

Example for "Stainless Steel Water Bottle 32oz":

Primary: water bottle, stainless steel water bottle
Modifiers: 32oz, large, insulated, vacuum, leak-proof, BPA free
Use cases: hiking, gym, sports, outdoor, camping, travel
Problem-based: keeps water cold, hot coffee thermos
Synonyms: tumbler, flask, canteen, hydration bottle
Long-tail: 32oz insulated water bottle, stainless steel gym bottle leak proof

Reverse Lookup Logic (Manual ASIN Analysis)

When given an ASIN, analyze by:

  1. Extract all words from title, bullets, description
  2. Generate keyword permutations
  3. Identify brand terms vs. generic terms
  4. Cross-reference with category common keywords
  5. Score by estimated commercial intent

Keyword Gap Analysis

Given your ASIN vs. competitor ASIN:

Your keywords:       [A, B, C, D, E]
Competitor keywords: [B, C, D, F, G, H]
Gap keywords:        [F, G, H] — competitor has these, you don't
Unique to you:       [A, E] — your advantage, protect these

CPC Bid Intelligence

Bid estimation by competition level:

Very High competition (Tier 1): $1.50 - $3.00+ CPC
High competition (Tier 2):      $0.80 - $1.50 CPC
Medium competition (Tier 3):    $0.30 - $0.80 CPC
Low competition (Tier 4):       $0.10 - $0.30 CPC

Bid strategy by campaign type:

  • Exact match: Bid at estimated CPC
  • Phrase match: Bid at 80% of exact
  • Broad match: Bid at 60% of exact
  • Auto campaign: Start at $0.50, scale based on ACOS

Backend Search Terms (249 Characters)

Rules for backend keyword field:

  • No commas needed — spaces work
  • No repeat words — every character counts
  • Include misspellings of your product name
  • Include complementary product terms
  • No ASINs, brand names of competitors, or prohibited terms
  • Use singular forms only (Amazon pluralizes automatically)

Template:

[synonyms] [materials] [use cases] [compatible items] [problem solved] [occasion] [demographic]

Listing Keyword Injection

Title formula: [Brand] [Primary Keyword] [Key Feature] [Size/Variant] [Secondary Keyword]

Bullet point structure:

  • Bullet 1: Primary keyword + biggest benefit
  • Bullet 2: Secondary keyword + feature proof
  • Bullet 3: Long-tail keyword + use case
  • Bullet 4: Trust signal (certifications, compatibility)
  • Bullet 5: Guarantee / customer promise + brand keyword

Keyword Scoring Matrix

Score each keyword on 4 factors (1-5):

  1. Search volume — how many searches per month
  2. Relevance — how closely it matches your product
  3. Competition — how hard to rank (5=very easy)
  4. Intent — how likely searcher is to buy (5=high purchase intent)

Priority Score = (Volume + Relevance + Competition + Intent) / 4 Focus first on keywords scoring 4.0+

Workspace

Creates ~/keyword-research/ containing:

  • by-asin/ — keyword profiles per ASIN
  • campaigns/ — PPC keyword lists by match type
  • gaps/ — competitor gap analysis files
  • backend/ — generated backend search term strings

Output Format

Every keyword research outputs:

  1. Master Keyword Table — full keyword list with tier, volume estimate, competition, priority score
  2. Top 10 Priority Keywords — highest opportunity, recommended to target first
  3. Backend Search Terms — ready-to-paste 249-character string
  4. PPC Campaign Structure — exact/phrase/broad keyword groups with bid suggestions
  5. Listing Optimization Notes — which keywords are missing from current listing

平台分布

OpenClaw

71.13%
按下载量换算822

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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