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Agent Skill · 研究检索

amazon-seo(amazon SEO 搜索)

amazon-seo 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-seo 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 22,067。

总安装 4,657周安装 198GitHub Stars 1下载 1,632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
1.1.0

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-seo(amazon SEO 搜索)
来源仓库:https://github.com/leooooooow/amazon-seo
安装命令:
openclaw skills install amazon-seo
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-seo

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。

使用关键字丰富的标题、要点、A+ 内容策略和后端搜索词放置来优化亚马逊产品列表,以获得更好的排名。

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-seo;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-seo 怎么安装?

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

amazon-seo 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-seo 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-seo 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-seo 用的人多吗?

公开数据是累计安装 4,657 次,近一周安装 198 次,下载 1,632 次,GitHub 1 星。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-seo 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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-seo

amazon SEO 搜索 · 本页

4,6571需要联网MIT-0通过

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 SEO
description
Optimize Amazon product listings with keyword-rich titles, bullet points, A+ content strategies, and backend search term placement for better ranking.

Amazon SEO

Amazon search is a buying engine, not a browsing engine — shoppers arrive with purchase intent and the algorithm rewards listings that convert. Amazon SEO helps you optimize every indexable element of a product listing so it ranks higher in Amazon search results and converts more of the traffic it receives. This covers title structure, bullet point copywriting, backend search term fields, and A+ Content strategy aligned with Amazon's current ranking factors.


Quick Reference

DecisionStrongAcceptableWeak
Title keyword placementPrimary keyword in first 5 wordsPrimary keyword in first halfPrimary keyword buried at end
Title length150-200 chars (at category limit)100-150 charsUnder 80 or over limit
Bullet point structureBenefit headline + supporting detailFeature first, benefit secondPure feature list, no benefits
Backend search termsUnique terms not in visible fieldsPartial overlap with titleDuplicate terms already in title
A+ Content approachStory + comparison + benefits modulesImage + text modulesMostly lifestyle photos, no copy
Keyword coverage checkEvery target keyword indexed somewhere80%+ target keywords placedNo indexing audit done

Solves

This skill addresses these specific problems:

  1. Poor organic rank despite good reviews — Listing not indexed for target keywords because title and backend fields are underoptimized or missing high-volume terms.
  2. High impressions, low conversions — Shoppers find the listing but bullet points fail to communicate benefits clearly enough to drive purchase decisions.
  3. Backend search term waste — 250 bytes filled with duplicates of title keywords instead of net-new long-tail terms, misspellings, and synonyms.
  4. Competitor keyword gaps — Missing category-specific terms that top-ranking competitors use in their titles and bullets.
  5. A+ Content that doesn't convert — Module layouts that show lifestyle imagery without reinforcing keywords or answering objections.
  6. Marketplace adaptation errors — Copying US listing to UK/DE without adjusting for local search behavior, character limits, and regional keyword patterns.
  7. Post-launch stagnation — ASIN that ranked initially but stopped climbing because no keyword expansion or listing refresh has been done.

Workflow

Step 1 — Audit the current listing structure

Before writing any new copy, document the baseline:

  • Title: character count, keyword density, brand/generic term placement
  • Bullets: count keywords present, identify benefit vs. feature ratio
  • Backend search terms: check for duplicate overlap with visible fields, unused bytes
  • A+ Content: note modules present, keyword usage, objection coverage

Identify gaps between current state and target keyword list. Prioritize fixes by indexing impact (title > bullets > backend > A+).

Step 2 — Build the keyword placement hierarchy

Amazon indexes keywords across fields with different weights. Use this hierarchy:

  1. Product title — Highest ranking weight. Place primary keyword (highest search volume) in first 5 words. Include 2-3 secondary keywords naturally within 150-200 characters.
  2. Bullet points — Secondary indexing. Weave target keywords into first 10 words of each bullet. Don't stuff — Google-quality natural sentence quality.
  3. Product description / A+ Content — Lower ranking weight but supports conversion. Use naturally, not stuffed.
  4. Backend search terms — Captures terms not practical to place in visible fields: long-tail, misspellings, Spanish equivalents, abbreviations. Max 250 bytes; no commas needed; no repetition of title terms.

Step 3 — Write the optimized title

Title formula by category:

[Brand] + [Primary Keyword] + [Key Feature] + [Size/Variant] + [Secondary Keyword] + [Benefit/Use Case]

Rules:

  • Use Amazon's category style guide character limit (typically 150-200 chars)
  • Capitalize first letter of each major word (title case)
  • Use numbers where applicable: "32oz" vs "thirty-two ounce"
  • Avoid promotional language ("Best", "Top Rated", "#1") — Amazon policy violation
  • No special characters: &, ™, ®, pipes (|) are allowed; HTML tags are not

Title quality check: Read aloud. If it sounds like a robot wrote it, rewrite until natural.

Step 4 — Write five optimized bullet points

Each bullet structure:

ALL CAPS BENEFIT HEADLINE — Sentence explaining the feature, how it works, and what problem it solves for the customer.

Allocation across 5 bullets:

  • Bullet 1: Primary value proposition / hero feature
  • Bullet 2: Key technical spec that drives purchase decision
  • Bullet 3: Compatibility, fit, or versatility
  • Bullet 4: Quality, materials, safety, or certifications
  • Bullet 5: Warranty, customer support, or risk-reversal

Keyword placement: Include target keywords in the first 10 words of bullets 1, 2, and 3 at minimum. Bullets 4 and 5 can prioritize conversion over keyword density.

Step 5 — Build the backend search term strategy

Backend optimization rules:

  • No commas — Amazon's search term field is space-separated; commas waste bytes
  • No duplicate terms from title, bullets, or description — they're already indexed there
  • Include: common misspellings, plural variations not already covered, Spanish/multilingual variants (for US marketplace), abbreviations, and long-tail 3-4 word phrases
  • Avoid: competitor brand names, Amazon's own brand names, claims ("best", "cheapest"), ASINs

250-byte strategy:

  • Allocate ~100 bytes to long-tail keyword phrases (3+ word combos not feasible in title)
  • Allocate ~80 bytes to misspellings and spelling variants
  • Allocate ~70 bytes to Spanish equivalents and multilingual terms

Step 6 — Plan the A+ Content modules

For brand-registered sellers, A+ Content improves conversion by 3-10% when built strategically.

Recommended 5-module structure:

  1. Hero module (Full-width image + headline): Brand story + primary benefit statement
  2. Feature comparison module: Product vs. competitor or product vs. older version — highlight 3-5 differentiators
  3. Lifestyle + callout module: Real-use scenario with keyword-rich callout text
  4. Technical specification module: Dimensions, materials, certifications in visual grid format
  5. FAQ / objection module: Address the 3-4 most common hesitations (from review analysis and Q&A section)

Step 7 — Build the indexing audit checklist

Create a simple matrix:

  • Column 1: Each target keyword
  • Column 2: Where it appears (title, bullet 1-5, backend, A+)
  • Column 3: Indexed? (Yes/No — verify via search or keyword tracker)

Any keyword not confirmed indexed after listing goes live → add to backend search terms or restructure a bullet to include it.


Worked Examples

Example 1 — New Listing for Kitchen Product

Inputs:

  • Product: Silicone Baking Mat Set (2-pack, non-stick, dishwasher-safe, fits half-sheet pans)
  • Primary keyword: "silicone baking mat"
  • Secondary keywords: "non stick baking mat", "reusable baking sheet liner", "silicone pastry mat"
  • Category: Home & Kitchen > Bakeware
  • Character limit: 200 chars

Optimized title (187 chars):

Silicone Baking Mat Set of 2 – Non-Stick Reusable Baking Sheet Liner for Half Sheet Pans – BPA-Free, Dishwasher Safe Silicone Pastry Mat for Cookies, Bread

Bullet 1:

NON-STICK BAKING PERFORMANCE YOU CAN TRUST — Our silicone baking mat creates a perfectly non-stick surface that releases cookies, pastries, and bread without greasing or parchment paper every time.

Backend search terms (247 bytes):

silicone mat oven baking liner half pan sheet pastry rolling bread cookie non stick reusable ecofriendly silcone baking mat silicone pastri mat nonstick oven mat cocina silicona hornear alfombra

What changed from a weak listing:

  • Primary keyword moved from position 9 in title to position 1-2
  • Backend cleared of title duplicates; added Spanish equivalents and misspelling "silcone"/"pastri"
  • Bullets restructured from pure feature list to benefit + feature format

Example 2 — Existing Listing Audit and Refresh

Inputs:

  • Product: Bamboo Cutting Board with Juice Groove, ASIN B08ZZZ999
  • Current organic rank: page 3 for "bamboo cutting board"
  • Target: page 1 within 60 days
  • Competitor gap identified: missing "extra large cutting board" (22K monthly searches)

Audit findings:

  • Title: 89 chars (well under 200 limit — wasting indexing space)
  • Backend: 187 bytes used, but 60 bytes are duplicates of title terms
  • Bullets: All five start with features ("Made from organic bamboo..."), no benefit headlines
  • Missing keyword: "extra large cutting board" not in title, bullets, or backend

Optimized title (194 chars):

Bamboo Cutting Board with Juice Groove – Extra Large 18x12 Inch Wooden Cutting Board for Kitchen – Organic Bamboo, Non-Slip Feet, Dishwasher Safe Handle

Backend refresh:

  • Removed: 7 duplicates of "bamboo cutting board" already in title
  • Added: "large charcuterie board", "wood chopping block", "tabla de cortar bamboo", "banboo cutting bord" (misspelling), "BBQ prep board"
  • Net gain: 84 additional bytes of unique indexing coverage

Result forecast: Adding "extra large cutting board" to title position 7-8 and freeing 84 backend bytes for long-tail terms is projected to add 3-5 indexed keyword clusters within 2 weeks.


Common Mistakes

  1. Stuffing the title past readability — Cramming keywords until the title makes no sense to a human. Amazon shoppers read titles; unreadable titles hurt CTR even if they rank.
  1. Duplicating backend terms from the title — Every byte spent on a term already in the title is wasted. Backend's only job is to capture terms that can't fit in visible fields.
  1. Starting bullets with brand name — "BrandName non-stick pan..." wastes the highest-weight part of each bullet. Lead with the benefit or keyword.
  1. Using prohibited terms in title — Words like "Best", "#1 Seller", "Amazon's Choice" violate Amazon's style guide and can trigger listing suppression.
  1. Ignoring character limits by category — Home & Kitchen titles have different limits than Electronics. Copying a template across categories creates compliance issues.
  1. Treating A+ Content as optional — Brand-registered sellers who skip A+ Content leave a 3-10% conversion improvement on the table. Every brand should have it.
  1. No indexing verification — Writing optimized copy but never checking whether target keywords are actually indexed. Use search-bar checks or Brand Analytics to confirm.
  1. Translating rather than localizing — For UK/DE listings, direct translation of US keywords misses regional search behavior. "Torch" not "flashlight" in UK; different volume leaders in DE.
  1. Forgetting Spanish keywords for US listings — Hispanic shoppers search in Spanish on Amazon.com. Backend search terms have space for Spanish equivalents that most competitors miss.
  1. Treating the listing as permanent — A9/A10 algorithm weights shift, search behavior evolves, and competitors update their listings. Refresh listings quarterly at minimum.

Resources

  • references/output-template.md — Structured listing optimization output format
  • references/title-formula-guide.md — Title structures by Amazon category
  • references/backend-keyword-strategy.md — Backend search term optimization playbook
  • assets/seo-quality-checklist.md — Pre-publish and quarterly audit checklist

平台分布

OpenClaw

85.15%
按下载量换算1,390

安全审计

VirusTotal

通过

ClawScan

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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