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

Agent Skill

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。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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。

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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

简介

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。

SKILL.md

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

适合场景

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02

用户想查找某类 Agent Skill 时

03

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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