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daimingvip-a11y

Ecommerce Bundle

by daimingvip-a11y · GitHub ↗ · v1.0.0 · MIT-0
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/install ecommerce-bundle
Description
电商运营套装 - 智能电商助手,让店铺运营更轻松。整合竞品监控、自动回复、评价管理、选品分析四大能力。24小时在线客服,数据驱动选品。定价¥199/套。
README (SKILL.md)

电商运营套装 (E-commerce Bundle)

智能电商助手,让店铺运营更轻松

💼 套装定位

专为电商卖家、运营人员和 dropshipper 打造,整合竞品监控、自动回复、评价管理和选品分析四大核心能力,实现店铺智能化运营。


🎯 包含技能

1. 竞品监控 (spider / firecrawl-search / browser-automation)

  • 功能:价格监控、库存追踪、活动监测
  • 适用场景:竞品动态追踪、市场变化预警
  • 价值:第一时间掌握竞品动向

2. 自动回复 (wechat-management / message / qqbot-cron)

  • 功能:客户咨询自动回复、常见问题解答、售后处理
  • 适用场景:客服减负、快速响应
  • 价值:24小时在线客服

3. 评价管理 (browser-automation / agent-browser)

  • 功能:评价抓取、情感分析、差评预警
  • 适用场景:口碑监控、问题及时发现
  • 价值:维护店铺评分

4. 选品分析 (tavily-search / research / akshare-stock)

  • 功能:市场趋势分析、热销商品发现、利润测算
  • 适用场景:选品决策、市场进入
  • 价值:数据驱动选品

📦 套装内容

ecommerce-bundle/
├── SKILL.md                      # 本文件 - 套装总览
├── config/
│   ├── competitors.yaml          # 竞品监控配置
│   ├── auto-reply.yaml           # 自动回复话术
│   ├── review-monitor.yaml       # 评价监控配置
│   └── product-research.yaml     # 选品分析配置
├── examples/
│   ├── competitor-alert.md       # 竞品监控示例
│   ├── customer-service.md       # 客服场景示例
│   └── product-analysis.md       # 选品分析示例
└── README.md                     # 快速上手指南

🚀 快速开始

第一步:安装技能

# 竞品监控
py -m clawhub install spider
py -m clawhub install firecrawl-search
py -m clawhub install browser-automation

# 自动回复
py -m clawhub install wechat-management
py -m clawhub install qqbot-cron

# 评价管理
py -m clawhub install agent-browser

# 选品分析
py -m clawhub install tavily-search
py -m clawhub install research

第二步:配置监控目标

编辑 config/competitors.yaml

competitors:
  - name: "竞品店铺A"
    platform: "taobao"
    shop_id: "123456"
    products:
      - id: "prod-001"
        name: "竞品爆款商品"
        url: "https://item.taobao.com/item.htm?id=xxx"
        monitor:
          - price
          - stock
          - sales
          - promotions
    alert_channels:
      - "wechat"
      - "email"
  
  - name: "竞品店铺B"
    platform: "jd"
    shop_id: "789012"
    monitor_frequency: "hourly"

💡 典型使用场景

场景1:竞品价格监控

用户:监控竞品A的价格变化

电商助手:
✅ 已设置竞品监控

📊 监控目标:
   店铺:竞品店铺A
   平台:淘宝
   监控商品:5款
   监控频率:每小时

🔔 预警规则:
   • 价格下降超过5% → 立即通知
   • 库存低于100件 → 预警
   • 新活动上线 → 通知

📈 当前数据快照:
   商品1:¥199(库存:523件)
   商品2:¥299(库存:189件)⚠️
   商品3:¥159(库存:892件)

监控已启动,有变动会第一时间通知您!

场景2:智能客服回复

用户:帮我设置自动回复

电商助手:
✅ 已配置智能客服系统

💬 自动回复场景:

1. 欢迎语
   触发:客户首次咨询
   回复:"您好!欢迎光临XX店铺,我是您的专属客服小助手。请问有什么可以帮您?"

2. 发货时间
   触发:包含"多久发货"
   回复:"亲,我们承诺48小时内发货,一般下单后24小时就能发出哦~"

3. 尺码咨询
   触发:包含"尺码""大小"
   回复:"亲可以参考详情页的尺码表,建议按平时尺码选择。不确定的话告诉我身高体重,我帮您推荐~"

4. 售后问题
   触发:包含"退货""换货"
   回复:"亲,我们支持7天无理由退换货。如有问题请联系人工客服,会第一时间为您处理~"

5. 催单
   触发:包含"还没发货"
   回复:"亲,我帮您查一下订单状态...[自动查询] 您的订单已经在打包中,预计今天发出!"

📊 今日客服数据:
   • 自动回复:47次
   • 转人工:12次
   • 平均响应时间:3秒

场景3:评价监控预警

用户:查看最近的评价情况

电商助手:
📊 评价监控报告(最近7天)

━━━━━━━━━━━━━━━━━━━━━
📈 数据概览
━━━━━━━━━━━━━━━━━━━━━

总评价数:+156条
好评率:94.2% ⬆️ (+2.1%)
平均评分:4.8/5.0

━━━━━━━━━━━━━━━━━━━━━
⭐ 好评亮点(TOP 3)
━━━━━━━━━━━━━━━━━━━━━

1. "质量很好,物流很快!"(32次提及)
2. "客服态度好,解决问题快"(28次提及)
3. "性价比高,会回购"(24次提及)

━━━━━━━━━━━━━━━━━━━━━
⚠️ 差评预警(3条需关注)
━━━━━━━━━━━━━━━━━━━━━

🔴 紧急处理(1条)
   用户:@买家XXX
   评分:⭐
   内容:"收到商品破损,客服不理人"
   时间:2小时前
   建议:立即联系客户,安排补发

🟡 需关注(2条)
   • 物流慢问题(2条类似反馈)
   • 尺码偏小(3条类似反馈)

━━━━━━━━━━━━━━━━━━━━━
💡 改进建议
━━━━━━━━━━━━━━━━━━━━━

1. 加强包装防护,减少破损率
2. 详情页增加尺码对照说明
3. 与物流沟通提升配送速度

需要我帮您回复差评吗?

场景4:选品分析

用户:帮我分析这个品类是否值得做

电商助手:
📊 选品分析报告:智能家居

━━━━━━━━━━━━━━━━━━━━━
🔍 市场概况
━━━━━━━━━━━━━━━━━━━━━

市场规模:¥2,500亿(年增长率23%)
竞争程度:中等偏高
进入门槛:中等

━━━━━━━━━━━━━━━━━━━━━
📈 趋势分析
━━━━━━━━━━━━━━━━━━━━━

🔥 上升品类:
   • 智能门锁(+45%)
   • 扫地机器人(+38%)
   • 智能窗帘(+52%)

📉 下降品类:
   • 智能音箱(-12%)
   • 普通插座(-8%)

━━━━━━━━━━━━━━━━━━━━━
💰 利润分析
━━━━━━━━━━━━━━━━━━━━━

品类              毛利率    竞争度    建议
智能门锁          35-45%    高        ⭐⭐⭐
扫地机器人        25-35%    极高      ⭐⭐
智能窗帘          40-50%    中        ⭐⭐⭐⭐
智能开关          30-40%    中高      ⭐⭐⭐

━━━━━━━━━━━━━━━━━━━━━
🎯 推荐选品
━━━━━━━━━━━━━━━━━━━━━

**首选:智能窗帘**
理由:
✓ 增长率高(+52%)
✓ 利润率好(40-50%)
✓ 竞争相对较小
✓ 售后问题少

**备选:智能门锁**
理由:
✓ 市场需求大
✓ 客单价高
⚠️ 但竞争激烈,需要差异化

━━━━━━━━━━━━━━━━━━━━━
⚠️ 风险提示
━━━━━━━━━━━━━━━━━━━━━

• 需要3C认证
• 安装服务要求高
• 售后维护成本

需要我深入分析某个具体品类吗?

⚙️ 配置模板

竞品监控配置

# config/competitors.yaml
monitoring:
  enabled: true
  frequency: "hourly"  # hourly, daily, weekly
  
competitors:
  - name: "竞品店铺A"
    platform: "taobao"
    shop_url: "https://shop123456.taobao.com"
    products:
      - name: "爆款商品1"
        url: "https://item.taobao.com/item.htm?id=xxx"
        monitor_fields:
          - price
          - stock
          - sales_count
          - promotion
        alert_rules:
          - type: "price_drop"
            threshold: 5  # 降价5%预警
            channel: "wechat"
          - type: "stock_low"
            threshold: 100
            channel: "email"
  
  - name: "竞品店铺B"
    platform: "jd"
    shop_url: "https://mall.jd.com/index-xxx.html"
    monitor_fields:
      - price
      - reviews

自动回复话术配置

# config/auto-reply.yaml
auto_reply:
  enabled: true
  working_hours:
    start: "09:00"
    end: "23:00"
  outside_hours_message: "您好,当前为非工作时间,您的留言会在上班后第一时间处理~"
  
rules:
  - name: "欢迎语"
    priority: 1
    triggers:
      - "首次咨询"
      - "hello"
      - "在吗"
    response: |
      您好!欢迎光临{shop_name}🎉
      
      我是您的智能客服助手,可以帮您:
      • 查询商品信息
      • 了解优惠活动
      • 处理售后问题
      
      请问有什么可以帮您?
  
  - name: "发货时间"
    priority: 2
    triggers:
      - "多久发货"
      - "什么时候发货"
      - "发货时间"
    response: |
      亲,我们承诺48小时内发货📦
      
      • 16:00前下单,当天发出
      • 16:00后下单,次日发出
      • 预售商品以页面标注时间为准
      
      您可以点击"我的订单"查看物流信息~
  
  - name: "退换货"
    priority: 3
    triggers:
      - "退货"
      - "换货"
      - "退款"
    response: |
      亲,我们支持7天无理由退换货✅
      
      退换货流程:
      1. 点击"申请售后"
      2. 选择退货/换货原因
      3. 等待审核(24小时内)
      4. 按地址寄回商品
      
      如有疑问,可以转人工客服处理~

💰 定价与价值

项目 传统方案 电商套装
竞品监控 人工查看3小时/天 自动监控实时预警
客服回复 2名客服¥6000/月 AI客服24小时在线
评价管理 人工统计2小时/天 自动分析实时预警
选品分析 购买数据¥2000/月 AI分析即时生成
月度成本 ¥8000+ ¥199

套装定价:¥199/套(一次性购买,终身使用)


🛠️ 技术要求

  • OpenClaw >= 2.0
  • Windows 10/11 或 macOS 或 Linux
  • 电商平台账号权限
  • 网络连接

📞 售后支持

  • 文档:https://docs.clawhub.com/ecommerce
  • 社区:加入飞书群获取更新
  • 更新:购买后终身免费更新

让AI成为你的电商运营合伙人。

Usage Guidance
This skill looks like a plausible e‑commerce assistant, but exercise caution before installing: 1) Do not run install.ps1 or any install script from an unknown repo without inspecting its contents—download the GitHub repo and review the script for unexpected actions. 2) Confirm the GitHub repository and its owner are legitimate and check commit history and issues. 3) Expect the skill to need credentials (WeChat/QQ bot tokens, email SMTP/API, shop platform cookies or API keys); only provide those after you trust the code and preferably in a least-privileged account. 4) If you must test, do so in an isolated environment (VM or sandbox) and limit network access. 5) Ask the publisher for a formal install spec, checksums for any downloads, and a clear list of required environment variables/permissions before proceeding.
Capability Analysis
Type: OpenClaw Skill Name: ecommerce-bundle Version: 1.0.0 The bundle is a comprehensive instruction and configuration set for an e-commerce assistant agent, covering competitor monitoring, automated customer service, and market analysis. The files (SKILL.md, README.md, _meta.json) define legitimate workflows and provide templates for tools like browser-automation and tavily-search. While it references an external installation script (install.ps1) not included in the bundle and requires several automation dependencies, there is no evidence of malicious intent, data exfiltration, or harmful prompt injections within the provided content.
Capability Assessment
Purpose & Capability
The name/description (competitor monitoring, auto-reply, review management, product research) align with the instructions and the listed subcomponents (spider, browser-automation, wechat-management, qqbot-cron, agent-browser, tavily-search). However the skill does not declare any environment variables or credentials even though connectors for WeChat/QQ/email and shop platforms (Taobao/JD) will realistically require API keys, account cookies or service credentials. Also the README directs users to git clone a GitHub repo and run an install.ps1, which is an out-of-band install step not represented in the registry metadata.
Instruction Scope
SKILL.md stays mostly within e‑commerce tasks (monitoring, replying, analysis), but it instructs installing multiple external sub-skills and editing config files. The README instructs 'git clone https://github.com/clawhub/ecommerce-bundle.git' and to run './install.ps1'—this asks the user to fetch and execute external code. The instructions do not list what sensitive credentials will be read or required at runtime, yet they imply accessing external accounts and scraping merchant platforms, which could require account cookies, API tokens, or other secrets.
Install Mechanism
Registry shows no formal install spec (instruction-only), but README directs cloning a GitHub repo and running an install.ps1 script. Running an external PowerShell install script is high risk because arbitrary code from that repo could execute locally; the registry provides no checksum, official release URL, or verification instructions. The SKILL.md's 'py -m clawhub install ...' calls out to a package manager/CLI which is plausible, but the external git+install.ps1 path is the main red flag.
Credentials
The skill declares no required env vars or primary credential, yet its functionality (WeChat/QQ bots, email alerts, scraping Taobao/JD, auto‑order queries) normally requires multiple credentials/tokens and possibly cookies or proxy credentials. That mismatch—capability implying access to external accounts while declaring no required secrets—reduces transparency and increases risk of hidden credential prompts or ad‑hoc credential collection during setup.
Persistence & Privilege
The skill is not force-included (always:false) and has no install spec in the registry. There's no indication it would modify other skills or system-wide settings from the registry files. The main persistence concern would come from running the external install.ps1 (not included) which could modify the system; that is an out-of-band risk rather than an inherent registry privilege.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ecommerce-bundle
  3. After installation, invoke the skill by name or use /ecommerce-bundle
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
ecommerce-bundle 1.0.0 - 首次发布:「电商运营套装」一站式赋能,涵盖竞品监控、自动回复、评价管理与选品分析四大核心能力 - 提供丰富配置模板与场景示例,助力店铺高效智能化运营 - 集成24小时在线客服、自动评价抓取与市场趋势分析等实用功能 - 明确定价,包含完整文档与终身免费更新支持
Metadata
Slug ecommerce-bundle
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Ecommerce Bundle?

电商运营套装 - 智能电商助手,让店铺运营更轻松。整合竞品监控、自动回复、评价管理、选品分析四大能力。24小时在线客服,数据驱动选品。定价¥199/套。 It is an AI Agent Skill for Claude Code / OpenClaw, with 493 downloads so far.

How do I install Ecommerce Bundle?

Run "/install ecommerce-bundle" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ecommerce Bundle free?

Yes, Ecommerce Bundle is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Ecommerce Bundle support?

Ecommerce Bundle is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ecommerce Bundle?

It is built and maintained by daimingvip-a11y (@daimingvip-a11y); the current version is v1.0.0.

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