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Agent Skill · 研究检索

amazon-ppc-analyzer(亚马逊 ppc 分析器)

amazon-ppc-analyzer 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-ppc-analyzer 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 18,827。

总安装 5,891周安装 236GitHub Stars 公开资料未说明下载 1,907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
1.0.2

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-ppc-analyzer(亚马逊 ppc 分析器)
来源仓库:https://github.com/mguozhen/amazon-ppc-analyzer
安装命令:
openclaw skills install amazon-ppc-analyzer
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-ppc-analyzer

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。

审核商品推广活动,识别无效支出与高转化搜索词。提供出价调整建议与预算重分配方案。amazon-ppc-analyzer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。支持多广告组对比与 ROI 分析图表。安装命令:openclaw skills install amazon-ppc-analyzer。

依赖准确广告数据接口,需定期检查权限有效性。

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-ppc-analyzer;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-ppc-analyzer 怎么安装?

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

amazon-ppc-analyzer 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-ppc-analyzer 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-ppc-analyzer 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-ppc-analyzer 用的人多吗?

公开数据是累计安装 5,891 次,近一周安装 236 次,下载 1,907 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-ppc-analyzer 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-ppc-analyzer

亚马逊 ppc 分析器 · 本页

5,891—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-ppc-analyzer
description
Amazon PPC specialist agent. Audits Sponsored Products campaigns, finds wasted spend, surfaces high-converting search terms, suggests bid adjustments, and builds negative keyword lists — all from your bulk report data or verbal description. Triggers: amazon ppc, ppc audit, sponsored products, ppc analyzer, bid optimization, search term report, wasted spend, negative keywords, acos, roas, ppc strategy, amazon advertising, amazon ads, ppc campaign, keyword harvesting, ppc review, ad spend analysis, amazon ppc optimization
allowed-tools
Bash
metadata
openclaw
homepage
https://github.com/mguozhen/amazon-ppc-analyzer

Amazon PPC Analyzer

AI-powered Amazon PPC audit agent — turns your campaign data into actionable optimizations.

Paste your bulk report, describe your campaigns verbally, or ask specific questions. The agent audits structure, finds waste, surfaces winners, and tells you exactly what to do next.

Commands

ppc audit                          # full campaign audit (paste data or describe)
ppc wasted spend                   # find keywords draining budget with no conversions
ppc bid suggestions                # get bid adjustment recommendations
ppc search terms                   # harvest converting search terms for exact match
ppc negatives                      # build negative keyword list from irrelevant terms
ppc structure check                # evaluate campaign/ad group architecture
ppc budget allocation              # identify over/under-funded campaigns
ppc weekly report                  # generate weekly performance summary
ppc save <campaign-name>           # save campaign profile to memory
ppc history                        # show saved campaigns and past audits

What Data to Provide

The agent works with:

  • Bulk report CSV — paste rows directly into chat (Search Term Report, Campaign Performance Report, Keyword Report)
  • Verbal description — "I have 3 SP campaigns, $150/day budget, 45% ACoS, mainly broad match"
  • Screenshots — paste Seller Central campaign manager data
  • Metrics only — "keyword X spent $200, 0 orders, 12 clicks"

No API keys needed. No setup required.

Workspace

Creates ~/amazon-ppc/ containing:

  • memory.md — saved campaign profiles and account history
  • reports/ — past audit reports (markdown)
  • data/ — raw data snapshots for trend tracking

Analysis Framework

1. Campaign Structure Audit

  • SP / SB / SD separation
  • Match type distribution (broad/phrase/exact ratio)
  • Ad group granularity (1 product per ad group vs. lumped)
  • Auto vs. manual campaign relationship

2. Wasted Spend Detection

  • Keywords with spend > $X and 0 orders (X = your break-even CPC threshold)
  • Irrelevant search terms triggering ads (auto campaign bleed)
  • Duplicate keywords across campaigns causing internal competition

3. Bid Optimization

  • Keywords with ACoS > target → bid down formula: New Bid = (Current Bid × Target ACoS) / Current ACoS
  • Keywords with ACoS < target and low impressions → bid up to capture more volume
  • Keywords converting well but losing impressions → identify bid floor vs. auction pressure
  • ROAS equivalent: Target ROAS = 1 / Target ACoS (e.g. 25% ACoS = 4x ROAS target); same bid formula applies

4. Search Term Harvesting

  • Converting search terms in auto/broad → promote to exact match manual campaigns (minimum 2 clicks + 1 order before harvesting to avoid single-click noise)
  • High-impression, zero-click search terms → add as phrase negatives
  • Competitor ASINs appearing as search terms → ASIN targeting opportunities

5. Negative Keyword Mining

  • Irrelevant terms from auto campaign search term report
  • Shared negatives across campaign portfolio
  • Campaign-level vs. ad group-level negative placement logic

6. Budget & Dayparting Analysis

  • Campaigns hitting budget cap before end of day → lost impression share
  • Budget reallocation from low-ROAS to high-ROAS campaigns
  • Day/hour performance patterns (if data available)

Benchmarks Used

MetricAggressiveBalancedConservative
ACoS target15–20%25–30%35–40%
CTR (good)>0.5%0.3–0.5%<0.3%
CVR (good)>10%5–10%<5%
Impression share>60%40–60%<40%

Weekly Report Format

ppc weekly report generates a consistent 7-day performance summary:

  1. Spend vs. Last Week — total spend delta and budget utilization %
  2. ACoS Trend — overall ACoS this week vs. last week, direction arrow
  3. Top 5 Performing Keywords — ranked by orders, with ACoS each
  4. Top 5 Wasted Spend Keywords — spend with 0 orders, sorted by $ wasted
  5. Search Term Wins — new converting search terms worth harvesting
  6. Actions Taken / Pending — changes made and outstanding items
  7. Next Week Focus — 2–3 priority optimizations for the coming week

Saves to ~/amazon-ppc/reports/weekly-YYYY-MM-DD.md automatically.

Output Format

Every audit outputs:

  1. Executive Summary — 3-bullet account health snapshot
  2. Quick Wins — actions you can take in the next 30 minutes
  3. Structural Issues — longer-term fixes
  4. Data Table — keywords sorted by priority (waste / opportunity)
  5. Next Audit Checklist — what to check again in 7 days

Rules

  1. Always ask for target ACoS or profit margin before making bid recommendations
  2. Never recommend pausing or making aggressive bid cuts on keywords with fewer than 10 clicks — insufficient data
  3. Flag when data sample is too small for reliable conclusions
  4. Distinguish between launch phase (high ACoS acceptable) vs. optimization phase
  5. Show math behind every bid recommendation
  6. Save audit findings to ~/amazon-ppc/reports/ when asked

平台分布

OpenClaw

85.12%
按下载量换算1,623

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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