← 返回 Skills 市场
mguozhen

Amazon Keyword Reverse Lookup

作者 mguozhen · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
122
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install amazon-keyword-reverse-lookup
功能描述
Amazon keyword reverse lookup engine. Find all keywords driving traffic to any ASIN, uncover hidden long-tail opportunities, build CPC ad keyword lists, and...
使用说明 (SKILL.md)

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 \x3Casin>                    # extract keyword profile for an ASIN
reverse bulk \x3Casin1,asin2,...>    # batch keyword extraction for multiple ASINs
keyword gap \x3Cyour-asin> \x3Ccomp>    # find keywords competitor ranks for but you don't
keyword rank check \x3Casin> \x3Ckw>    # estimate ranking for specific keyword
keyword cluster \x3Clist>            # group keywords by semantic theme
keyword priority                  # score and rank keywords by opportunity
cpc suggest \x3Ckeyword>             # CPC bid suggestions based on competition
backend generate \x3Cproduct>        # generate backend search terms (249 chars)
listing inject \x3Ctitle> \x3Ckws>      # naturally inject keywords into listing copy
keyword save \x3Cproduct>            # 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: \x3C100
  • 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
安全使用建议
This skill reads like a methodology/playbook rather than a working tool: it tells an agent how to generate and score keywords from listing text but does not provide any data sources, APIs, or implementation to actually measure search volume or traffic. Before installing or using it: 1) Ask the author what data sources, APIs, or binaries the skill expects for search-volume, CPC, and ranking estimates. 2) Do not supply Amazon or third-party API keys until you confirm where and how they'll be used. 3) Expect that, as-written, an agent using this skill may attempt to scrape Amazon or call unspecified external services to fill in missing data — if you want to avoid that, restrict network access or require explicit approval for any web requests. 4) If you need real traffic/CPC data, prefer skills that explicitly integrate with reputable services (and list required env vars/credentials) or provide code that you can inspect. Additional info that would change this assessment: concrete data-source references, sample implementations or scripts, or declared API credentials and their justified need.
功能分析
Type: OpenClaw Skill Name: amazon-keyword-reverse-lookup Version: 1.0.0 The skill bundle provides a comprehensive framework and set of instructions for an AI agent to perform Amazon keyword research and listing optimization. It defines logical workflows for keyword classification, gap analysis, and CPC estimation, using the Bash tool primarily for workspace organization in `~/keyword-research/`. No malicious code, data exfiltration attempts, or harmful prompt injections were identified in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The name and description promise reverse-engineering traffic-driving keywords and CPC intelligence for any ASIN, which normally requires access to Amazon search/analytics or third-party keyword databases. The skill requests no API keys, data sources, or tooling to obtain actual traffic/search-volume/CPC data; instead it contains manual heuristics (extract words from listings, generate permutations, estimate intent). That mismatch means the skill cannot legitimately deliver the claimed capabilities as-is.
Instruction Scope
SKILL.md is an instruction-only guide and contains CLI-like command names (reverse, keyword gap, cpc suggest, etc.) but no implementation. The instructions are largely methodological (how to extract and score keywords) and do not instruct reading sensitive files or env vars. However they are vague about how to obtain search volumes, ranking estimates, or CPC data — this will push an agent to attempt web scraping, call unspecified external APIs, or use unspecified third-party services unless clarified. The ambiguity grants broad agent discretion ('estimate', 'score by estimated commercial intent').
Install Mechanism
No install spec and no code files are present; the skill is instruction-only. That is low install risk because nothing is written to disk or fetched automatically.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. This is proportionate to the instruction-only, heuristic nature of the skill. (If the skill later instructs using third-party APIs, additional credentials would be expected and should then be evaluated.)
Persistence & Privilege
always:false and default invocation settings — no forced persistent presence. The SKILL.md lists 'allowed-tools: Bash', meaning the agent may execute shell commands while using the skill; that is expected for instruction-only skills that run commands, but it does expand what the agent might do (e.g., run curl for scraping). This is normal but worth noting given the vague data-source guidance.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install amazon-keyword-reverse-lookup
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /amazon-keyword-reverse-lookup 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: comprehensive Amazon keyword reverse lookup and research toolkit. - Extracts keyword profiles for any ASIN and identifies traffic-driving search terms, from top head terms to hidden long-tails. - Provides bulk analysis, keyword gap discovery, ranking estimation, keyword clustering, and opportunity scoring commands. - Generates CPC bid suggestions, backend 249-character search term strings, and guides keyword injection into listings. - Outputs include prioritized keyword tables, PPC campaign groupings, backend term strings, and listing optimization insights.
元数据
Slug amazon-keyword-reverse-lookup
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Amazon Keyword Reverse Lookup 是什么?

Amazon keyword reverse lookup engine. Find all keywords driving traffic to any ASIN, uncover hidden long-tail opportunities, build CPC ad keyword lists, and... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 122 次。

如何安装 Amazon Keyword Reverse Lookup?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install amazon-keyword-reverse-lookup」即可一键安装,无需额外配置。

Amazon Keyword Reverse Lookup 是免费的吗?

是的,Amazon Keyword Reverse Lookup 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Amazon Keyword Reverse Lookup 支持哪些平台?

Amazon Keyword Reverse Lookup 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Amazon Keyword Reverse Lookup?

由 mguozhen(@mguozhen)开发并维护,当前版本 v1.0.0。

💬 留言讨论