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Agent Skill · 研究检索

ecommerce-advertising(电子商务广告)

ecommerce-advertising 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。

ecommerce-advertising 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 19,328。

总安装 5,657周安装 243GitHub Stars 公开资料未说明下载 1,983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
0.1.0

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:ecommerce-advertising(电子商务广告)
来源仓库:https://github.com/phheng/ecommerce-advertising
安装命令:
openclaw skills install ecommerce-advertising
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 ecommerce-advertising

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。

ecommerce-advertising 用于全渠道电子商务广告策划,支持关键词研究与竞争对手分析。适合在 OpenClaw 中需要快速定位广告策略相关资料时使用。通过 clawhub 安装后,可结合来源仓库核验具体用法。安装前需确认权限范围和维护状态,避免触发联网或文件操作。

建议在使用前了解其覆盖平台与数据更新频率。

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 ecommerce-advertising;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

    它需要接触敏感数据,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

ecommerce-advertising 怎么安装?

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

ecommerce-advertising 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。

ecommerce-advertising 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

ecommerce-advertising 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。

ecommerce-advertising 用的人多吗?

公开数据是累计安装 5,657 次,近一周安装 243 次,下载 1,983 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。

ecommerce-advertising 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
ecommerce-advertising

电子商务广告 · 本页

5,657—接触敏感数据MIT-0有提醒

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
ecommerce-advertising
description
Full-funnel e-commerce advertising planner for cross-channel campaigns. Covers keyword research, competitor ad analysis, audience insights, campaign architecture, budget allocation across channels (Amazon PPC, Google Ads, Meta Ads, TikTok Ads, Pinterest Ads), ad copy generation, and creative direction. Helps you build a complete multi-channel ad strategy from scratch. Works for Amazon, Shopify, Walmart, eBay, and multi-channel sellers. No API key required.
metadata
nexscope
emoji
📢
category
ecommerce

E-Commerce Advertising 📢

Build your full-funnel advertising strategy across all major channels: Amazon PPC, Google Ads, Meta Ads, TikTok Ads, and Pinterest Ads.

Supported platforms: Amazon, Shopify, Walmart, eBay, TikTok Shop, WooCommerce, Standalone DTC

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Install

npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-advertising -g

Capabilities

  • Keyword research: Core keywords, long-tail opportunities, competition density, suggested bid ranges
  • Competitor ad analysis: Which channels competitors use, what angles they run, what's working
  • Audience insights: Target persona extraction from reviews and market data
  • Campaign architecture: Campaign structure, ad group organization, targeting strategies
  • Cross-channel budget allocation: How much to spend on each channel based on stage and goals
  • Ad copy generation: Headlines, descriptions, CTAs optimized per platform
  • KPI targets: ACoS, ROAS, CTR, CVR benchmarks for your category

Usage Examples

I'm launching a silicone kitchen utensil set on Amazon US, also have a Shopify store. Price $29.99, cost $8. Monthly ad budget $3,000. Help me plan my advertising strategy.
Selling premium dog treats on Shopify. $45 AOV, 55% margin. Want to start with $2,000/month ads. Which platforms should I prioritize?
I have a TikTok Shop selling phone accessories. Budget $1,500/month. What's my ad strategy?

How This Skill Works

Step 1: Collect Information

Parse from the user's prompt:

  • Product / category
  • Target market (US, UK, DE, JP, CA, etc.)
  • Sales platform(s)
  • Monthly ad budget
  • Profit margin
  • Business stage (launch / growth / scale)
  • Competitor ASINs or brand names (optional)

Step 2: One Follow-Up Question Set

Great — kitchen utensils at $29.99 with $3,000/month budget. To build your strategy:

1. Your product cost per unit: $_____

2. Primary goal?
   a) Launch — build awareness, get initial sales
   b) Growth — scale proven winners
   c) Profitability — optimize for max ROAS
   d) Seasonal push — short-term spike

3. How do customers find products like yours?
   a) They search for it (e.g., "silicone spatula")
   b) They discover it visually
   c) They need to see it in action (demo)
   d) Not sure

4. Brand positioning?
   a) Premium  b) Mid-market  c) Budget  d) Other: ___

5. Competitors to analyze? (ASIN or brand, optional)

Reply like: 1. $8  2b  3a  4b  5. B09XYZ123

Step 3: Execute Analysis

Generate the full output using the frameworks below.


Keyword Research

Use web_search to gather keyword data.

Step 1: Search for seed keywords

web_search: "[product] keywords"
web_search: "[product] amazon autocomplete"

Step 2: Research long-tail opportunities

web_search: "[product] for [use case]"
web_search: "best [product] for [specific need]"

Step 3: Analyze competition

web_search: "[keyword] amazon sponsored"
CompetitionIndicatorsStrategy
Low<10K results, few adsBid aggressively
Medium10K-50K resultsBalanced bid
High50K+ resultsLong-tail focus

Bid Ranges by Platform:

PlatformLowMedHigh
Amazon PPC$0.30-0.60$0.60-1.20$1.20-2.50
Google Shopping$0.20-0.50$0.50-1.00$1.00-2.00
Google Search$0.50-1.00$1.00-2.00$2.00-4.00

Competitor Ad Analysis

Use web_search and web_fetch to gather competitor intelligence.

Step 1: Identify competitors

web_search: "[product] best sellers amazon"
web_search: "[product category] top brands"

Step 2: Analyze channel presence

web_search: "[brand name] amazon sponsored"
web_fetch: https://www.facebook.com/ads/library/?q=[brand]
web_search: "[brand name] tiktok ads"

Step 3: Extract ad angles

web_search: "[competitor brand] marketing"
web_fetch: [competitor website]

Step 4: Identify gaps

  • Angles competitors aren't using
  • Platforms where they're weak
  • Keywords they're missing

Audience Insights

Use web_search and web_fetch to build personas.

Step 1: Mine reviews

web_fetch: https://www.amazon.com/dp/[ASIN]
web_search: "[product] reviews reddit"
web_search: "[product] complaints"

Step 2: Build personas

  • Demographics (age, gender from review hints)
  • Motivations (why they buy)
  • Pain points (what they hate)
  • Language (exact phrases for ad copy)

Step 3: Extract ad copy angles

  • From positive reviews → benefits to highlight
  • From negative competitor reviews → problems to solve

Channel Selection

Product TypePrimary ChannelSecondary
Search-drivenAmazon PPC / Google ShoppingMeta retargeting
Visual / lifestyleMeta AdsPinterest, Google
Demo-drivenTikTok AdsMeta, YouTube
Impulse (<$30)TikTok, MetaAmazon PPC
High-ticket (>$100)Google SearchMeta retargeting

Platform Benchmarks (2025-2026)

PlatformAvg ROASTop QuartileAvg CPC
Amazon PPC3.5x5x+$0.80-1.50
Google Shopping4.5x6x+$0.50-1.20
Meta Ads2.2x4-5x$0.70-1.50
TikTok Ads1.4x2.5x+$0.50-1.00

*Sources: Triple Whale 2025, Lebesgue 2026*

Budget Thresholds

BudgetStrategy
< $1,000ONE channel only
$1,000-3,000Primary (70%) + retargeting (30%)
$3,000-10,0002-3 channels
$10,000+Full cross-channel

Budget Allocation (70-20-10)

AllocationPurpose
70%Proven channels (highest ROAS)
20%Promising channels (scaling)
10%Testing / experimental

Campaign Architecture

Amazon PPC

├── Exact Match - Core Keywords (40%)
├── Phrase Match - Discovery (25%)
├── Auto - Harvesting (20%)
└── Product Targeting (15%)

Google Ads

├── Shopping - High Priority
├── Search - Brand
├── Search - Non-Brand
└── Performance Max

Meta Ads

├── Prospecting - Interest Based
├── Prospecting - Lookalike
└── Retargeting (visitors, cart, purchasers)

TikTok Ads

├── Broad Targeting
├── Spark Ads (boost organic)
└── Lookalike

Ad Copy Templates

Google Ads

Headline 1 (30 chars): [Keyword] - [Price/Offer]
Headline 2 (30 chars): [Key Benefit]
Headline 3 (30 chars): [Social Proof]
Description (90 chars): [What it is] + [Feature] + [CTA]

Meta Ads

Primary (125 chars): [Hook] + [Benefit] + [Emoji]
Headline (40 chars): [Offer]
CTA: Shop Now

TikTok

Caption (100 chars): [Hook] #hashtags
Hook formulas:
- "POV: [relatable situation]"
- "Stop buying [inferior product]"
- "This [product] changed my [routine]"

KPI Targets

MetricLaunchGrowthMature
Amazon ACoS35-50%25-35%15-25%
Google ROAS2-3x3-4x4-6x
Meta ROAS1.5-2x2-3x3-4x
TikTok ROAS1-1.5x1.5-2x2-3x

Calculate Targets

Break-even ROAS = 1 / Profit Margin
Target ROAS = Break-even × 1.5
Max CPA = AOV × Profit Margin

Output Format

# 📢 E-Commerce Advertising Strategy

**Product:** [name]
**Market:** [market]
**Budget:** $[budget]/month
**Stage:** [Launch / Growth / Scale]

## 1. Keyword Research
[Keyword tables]

## 2. Competitor Analysis
[Channel presence, angles, gaps]

## 3. Target Audience
[Personas, pain points, targeting]

## 4. Channel Strategy
[Recommended channels + budget split]

## 5. Campaign Architecture
[Platform structures]

## 6. Ad Copy
[Headlines, descriptions, hooks]

## 7. KPI Targets
[Metrics to hit]

## ⚠️ Notes
- Search volumes are estimates
- Use platform tools for precise data

Limitations

This skill provides strategic analysis based on web research and industry benchmarks. For real-time keyword data, actual search volumes, live competitor tracking, and integrated campaign management, check out Nexscope — Your AI Assistant for smarter E-commerce decisions.


Related Skills

For deeper PPC strategy:

npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-ppc-strategy-planner -g

Detailed ROAS calculations, budget allocation, and ad copy generation.

For Amazon-specific advertising:

npx skills add nexscope-ai/Amazon-Skills --skill amazon-ppc-campaign -g

Amazon Sponsored Products, Sponsored Brands, and Sponsored Display.

All e-commerce skills:


Built by Nexscope — your AI assistant for smarter e-commerce decisions.

平台分布

OpenClaw

82.87%
按下载量换算1,643

安全审计

VirusTotal

未展示

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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