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Agent Skill · 研究检索

amazon-ppc(亚马逊竞价排名)

amazon-ppc 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 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;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 21,930。

总安装 4,704周安装 223GitHub Stars 公开资料未说明下载 1,648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-ppc(亚马逊竞价排名)
来源仓库:https://github.com/leooooooow/amazon-ppc
安装命令:
openclaw skills install amazon-ppc
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

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。

构建亚马逊商品推广和品牌推广活动结构、关键词匹配策略和出价逻辑,以实现盈利的付费曝光度。

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;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

amazon-ppc 怎么安装?

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

amazon-ppc 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 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

amazon-ppc 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 用的人多吗?

公开数据是累计安装 4,704 次,近一周安装 223 次,下载 1,648 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 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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

亚马逊竞价排名 · 本页

4,704—只读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
description
Build Amazon Sponsored Products and Sponsored Brands campaign structures, keyword match strategies, and bid logic for profitable paid visibility.

Amazon PPC

Amazon advertising is a pay-to-play channel where campaign structure determines whether you scale profitably or bleed budget on irrelevant clicks. Amazon PPC helps you design Sponsored Products, Sponsored Brands, and Sponsored Display campaign architectures from scratch — or restructure messy existing accounts — with clear keyword match type strategies, bid logic, negative keyword funnels, and budget allocation rules tied to your actual margin and ACoS targets.


Quick Reference

DecisionStrongAcceptableWeak
Campaign goal for new productLaunch (maximize data)Scale if similar product existsProfit mode on day 1
Starting ACoS targetBelow gross margin by 5-10%Equal to gross marginAbove gross margin
Match type for seed keywordsExact + Phrase in separate campaignsBroad with negativesAuto only
Budget allocation (launch)60% research, 40% performance50/50 split100% exact match
Negative keyword timingAdd day 1 (obvious irrelevants)Add after 7 days of dataNever (bleeding budget)
Bid adjustment for top-of-search+20-50% if ACoS allows+10-20% to testNo adjustment
Search term graduation trigger5+ orders at target ACoS3+ ordersNever harvest

Solves

This skill addresses these specific problems:

  1. Wasted launch budget — New sellers run auto-only campaigns for weeks, spending on irrelevant queries with no structure to capture what's working.
  2. ACoS above margin — Campaigns running without a profit ceiling, making every sale a net loss after advertising costs.
  3. Cannibalization between campaigns — Multiple campaigns bidding on the same keyword, competing against each other and inflating effective CPC.
  4. No negative keyword system — Search terms that never convert keep eating budget with no mechanism to stop them.
  5. Stalled scaling — Performance plateaus because winning search terms never graduate from broad/auto discovery into exact match optimization.
  6. Blind bidding — Bids set by guesswork rather than derived from margin math and conversion rate assumptions.
  7. Campaign structure debt — Accounts that grew organically into dozens of disorganized campaigns with no tier logic, making optimization nearly impossible.

Workflow

Step 1 — Establish your profitability ceiling

Before building any campaign, calculate the maximum allowable ACoS:

Max ACoS = Gross Margin %
Target ACoS = Gross Margin % - 5 to 10%
Max CPC = (Average Selling Price × Target ACoS) × Estimated Conversion Rate

Example: $30 product, 40% margin, 10% CVR → Max CPC = $30 × 0.35 × 0.10 = $1.05

This number governs every bid decision. Never let campaigns run without a ceiling derived from real unit economics.

Step 2 — Build the campaign tier structure

Create four campaign tiers with explicit purposes:

Tier 1 — Research (Auto + Broad): Discovers new search terms. High impression volume, lower bids. Daily review of search term reports to identify converting queries.

Tier 2 — Performance (Phrase + Exact): Captures confirmed winners from Tier 1. Higher bids justified by known conversion data. Tightly controlled with exact negatives.

Tier 3 — Brand Defense: Protects branded terms from competitor conquest. Exact match only. Usually small budget but non-negotiable for established products.

Tier 4 — Competitor Targeting: ASIN targeting and keyword conquest of competitor product pages. Experimental budget, tracked separately.

Step 3 — Set match type distribution

For each seed keyword:

  • Create one Exact match campaign in Tier 2 with your calculated max CPC as the starting bid
  • Create one Phrase match campaign in Tier 2 with bid at 70-80% of exact bid
  • Add the exact keyword as a negative in Tier 1 to prevent overlap

For auto campaigns: Set a low flat bid (30-50% of exact bid) and use category/product targeting for complementary ASIN discovery.

Step 4 — Build the negative keyword waterfall

Day 1 negatives (add before launching):

  • Competitor brand names (unless running conquest)
  • Irrelevant category terms (e.g., for a kitchen spatula: "spatula fish", "medical spatula")
  • Terms with zero commercial intent ("free", "how to", "DIY")

Ongoing waterfall rules:

  • Any search term with 30+ clicks and 0 conversions → add as exact negative in all campaigns
  • Any search term with ACoS > 2× target → add as negative, investigate if converting at high cost
  • Any search term with 5+ conversions at target ACoS → graduate to dedicated exact match campaign

Step 5 — Set budget allocation and pacing

During launch (first 30 days), weight budget toward research:

  • Tier 1 (Research): 50-60% of daily budget
  • Tier 2 (Performance): 30-40%
  • Tier 3 (Brand Defense): 5-10%
  • Tier 4 (Competitor): Optional, 10% max if budget allows

Increase Tier 2 weight as confirmed exact-match winners accumulate. By day 60, most budget should shift to performance campaigns.

Step 6 — Configure placement multipliers

Platform placement data shows top-of-search typically converts 2-3× better than rest-of-search for most categories. Adjust accordingly:

  • Top-of-search premium: Start at +20%, increase to +50% if ACoS remains below target
  • Product pages: Neutral until ASIN targeting data accumulates
  • Rest-of-search: No premium by default

Step 7 — Build the 30-day optimization calendar

  • Day 7: First search term harvest. Pull auto search term report, identify converting terms, move to phrase/exact campaigns. Add obvious negative keywords.
  • Day 14: Bid adjustment review. Any exact campaign with 50+ clicks and ACoS < target → increase bid 10-15%. Any campaign with ACoS > 2× target → decrease bids 20%.
  • Day 21: Budget rebalancing. Shift budget from underperforming auto campaigns to exact campaigns with proven conversions.
  • Day 30: Full structure review. Build permanent exact-match campaigns for top 10 converting terms. Pause or restructure anything still unprofitable.

Worked Examples

Example 1 — New Private Label Product Launch

Inputs:

  • Product: Silicone Kitchen Spatula Set, ASIN B09XYZ123
  • ASP: $24.99
  • Gross margin: 42%
  • Target ACoS: 32%
  • Seed keywords: "silicone spatula set", "kitchen spatula set", "cooking spatula", "heat resistant spatula", "non-stick spatula"
  • Goal: Launch

Campaign structure output:

Campaign NameTypeMatchDaily BudgetStarting Bid
SP_Discovery_Auto_SpatulaSponsored ProductsAuto$12$0.45
SP_Research_Broad_SpatulaSponsored ProductsBroad$8$0.55
SP_Perf_Exact_SiliconeSpatulaSetSponsored ProductsExact$6$0.80
SP_Perf_Exact_KitchenSpatulaSetSponsored ProductsExact$6$0.75
SP_Perf_Phrase_SpatulaTermsSponsored ProductsPhrase$8$0.60

Max CPC calculation: $24.99 × 0.32 × 0.12 (estimated CVR) = $0.96

Day-1 negatives added: "silicone spatula craft", "spatula school", "free spatula"

30-day outcome: Auto campaign discovered "flexible spatula for eggs" and "BPA-free cooking spatula" as converting terms → both moved to dedicated exact match campaigns by Day 21.


Example 2 — Restructuring a Messy Existing Account

Inputs:

  • Product: Yoga Mat, ASP $38, Margin 38%, Current ACoS 61% (far above target)
  • Existing structure: 1 auto campaign, 3 overlapping broad campaigns with no negatives
  • Goal: Cut ACoS to 30% without killing sales volume

Diagnosis:

  • Pull 90-day search term report → 847 unique search terms
  • Filter: terms with > $1 spend and 0 conversions → 214 terms to negative immediately
  • Filter: terms with ACoS < 25% and 3+ conversions → 12 terms to protect in dedicated exact campaigns

Restructure plan:

  1. Pause all 3 existing broad campaigns
  2. Create 1 new broad campaign with 214 negatives pre-loaded
  3. Create 12 new exact match campaigns (one per proven term)
  4. Set exact match bids at $0.90 (calculated from margin math)
  5. Cap new broad campaign at $15/day, exact campaigns at $25/day total

Expected result: ACoS reduction from 61% to target range within 14-21 days as budget shifts to proven exact terms.


Common Mistakes

  1. Launching with only auto campaigns — Auto gives Amazon maximum control and often routes budget to irrelevant terms. Always pair with at least one manual exact campaign.
  1. Setting ACoS targets without checking margin — A 30% ACoS target on a product with 25% margin is a guaranteed loss. Always derive target ACoS from unit economics first.
  1. Never adding negative keywords — Even excellent products will have irrelevant search volume. Not adding negatives is an ongoing tax on every campaign dollar.
  1. Bidding the same amount in auto and exact campaigns — Auto campaigns should bid lower because they're discovery vehicles. Matching bids means overpaying for unknown traffic.
  1. Graduating search terms too early — Moving a term to exact match after 1-2 orders can mislead. Statistical confidence requires 5+ conversions before bid optimization is meaningful.
  1. Ignoring placement multipliers — Top-of-search typically converts better, but the default setting applies no premium. Failing to test placement adjustments leaves performance on the table.
  1. Running all campaigns on the same daily budget — Discovery campaigns need room to find new terms. Underfunding auto campaigns starves the system of new search term data.
  1. Never pausing underperformers — Campaigns with 60+ days of data and no conversions at 3× target ACoS are not going to improve. Pause, investigate, restructure.
  1. Confusing branded and non-branded ACoS — Branded terms convert higher and need lower bids. Mixing them into non-branded campaigns inflates overall ACoS and obscures true performance.
  1. No campaign naming convention — Without consistent naming, you can't filter or sort campaigns at scale. Always include: campaign type, match type, keyword theme, and product identifier.

Resources

  • references/output-template.md — Structured campaign plan output format
  • references/keyword-match-type-guide.md — When to use each match type with examples
  • references/bid-calculation-formulas.md — Margin-based bid math reference
  • assets/ppc-quality-checklist.md — Pre-launch and optimization quality checklist

平台分布

OpenClaw

95.99%
按下载量换算1,582

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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