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yang1002378395-cmyk

ClawMart Customer Insights

by yang1002378395-cmyk · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install clawmart-customer-insights
Description
分析客户行为和成交数据,提供客户分级、成交预测及个性化营销建议,助力精准跟进和转化提升。
README (SKILL.md)

Customer Insights Skill

分析客户数据,发现成交机会。

功能

  • 客户行为分析
  • 成交预测
  • 客户分级
  • 最佳跟进时机
  • 个性化营销建议

使用方式

分析我最近的客户数据
哪些客户最可能成交?
给我营销优化建议

配置

客户数据源

{
  "sources": {
    "wechat": "微信聊天记录",
    "email": "邮件往来",
    "crm": "CRM 系统(可选)"
  }
}

输出格式

📊 客户洞察报告

## 客户概览
- 总客户:127 人
- 活跃客户:45 人(35%)
- 成交客户:32 人(25%)
- 复购客户:12 人(38% 复购率)

## 客户分级

### 🌟 VIP 客户(5 人)
高价值、高忠诚度
1. 张总 - 累计 ¥120,000 - 复购 4 次
2. 李经理 - 累计 ¥85,000 - 复购 3 次
...

### 💎 高潜力客户(12 人)
高意向、待转化
1. 王先生 - 咨询 3 次 - 预算 ¥50,000
2. 赵女士 - 咨询 2 次 - 预算 ¥30,000
...

### 📋 普通客户(30 人)
低活跃、需激活
...

### ⚠️ 流失风险(8 人)
长期未联系
...

## 成交预测

### 本月预测
- 预计成交:8 单
- 预计金额:¥180,000
- 置信度:75%

### 高概率成交(>70%)
1. 王先生 - ¥50,000 - 概率 85%
   - 行动:电话跟进
   
2. 赵女士 - ¥30,000 - 概率 78%
   - 行动:提供案例

## 最佳跟进时机

### 按时间
- 上午 10:00-11:00:回复率 55%
- 下午 15:00-16:00:回复率 48%
- 晚上 20:00-21:00:回复率 42%

### 按星期
- 周二:回复率最高(52%)
- 周四:回复率次高(48%)
- 周一/周五:回复率较低(35%)

## 个性化建议

### 张总(VIP)
- 下次跟进:3 月 15 日
- 建议内容:新服务介绍
- 预期需求:¥30,000

### 王先生(高潜力)
- 下次跟进:立即
- 建议内容:案例 + 优惠
- 预期成交:¥50,000

## 营销优化建议

1. **提升转化率**
   - 增加案例展示
   - 提供分期付款
   - 缩短响应时间

2. **激活沉睡客户**
   - 发送优惠活动
   - 分享新案例
   - 提供免费咨询

3. **提升复购率**
   - 定期回访
   - 会员优惠
   - 推荐奖励

技术栈

  • Node.js / Python
  • GLM-5(数据分析)
  • 本地存储

创建时间:2026-03-11 作者:ClawMart

Usage Guidance
This instruction-only skill appears coherent with its stated purpose, but it expects access to potentially sensitive customer data (WeChat chats, emails, CRM exports). Before using: (1) Confirm where data will be processed (locally vs sent to external services/third-party models). (2) Never hand over live credentials—provide sanitized/exported datasets (CSV/JSON) with PII redacted or pseudonymized. (3) Ask the skill author or provider for an install/runtime spec if you expect local model use (the SKILL.md mentions GLM-5/local storage but supplies no implementation). (4) If regulated data is involved (personal data, financial info), verify compliance with privacy laws and your company policy. Additional information that would change this assessment: any install scripts, network endpoints where data is sent, or requested credentials—these could raise the assessment to suspicious if they appear unrelated or opaque.
Capability Analysis
Type: OpenClaw Skill Name: clawmart-customer-insights Version: 1.0.0 The skill bundle describes a tool for analyzing highly sensitive data sources, including WeChat chat history, emails, and CRM systems (SKILL.md). While these capabilities are aligned with the stated purpose of 'Customer Insights,' the request for broad access to private communication channels is a high-risk behavior that warrants caution, especially as no implementation code is provided to verify how this data is handled or if it is exfiltrated.
Capability Assessment
Purpose & Capability
Name/description match the SKILL.md: it asks for customer data sources (WeChat, email, CRM) and promises analysis, segmentation, and recommendations. There are no unrelated binaries, env vars, or config paths requested.
Instruction Scope
SKILL.md is high-level and focuses on analyzing customer data (chat logs, emails, CRM). It does not instruct the agent to read arbitrary system files or exfiltrate data, but it also does not specify how data should be supplied, how PII is handled, or whether processing happens locally or externally—this vagueness increases privacy risk depending on how the agent is used.
Install Mechanism
No install spec and no code files are present (instruction-only). That minimizes disk-write/install risk. The 'Technical stack' note (Node.js/Python/GLM-5/local storage) is descriptive only and not implemented here.
Credentials
The skill declares no required environment variables, credentials, or config paths. It does expect access to user data sources (WeChat, email, CRM), which is proportionate to its purpose but should be provided explicitly and securely by the user rather than left to the agent to fetch without consent.
Persistence & Privilege
Flags: always=false and user-invocable=true. The skill does not request persistent privileges or to modify system/agent-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install clawmart-customer-insights
  3. After installation, invoke the skill by name or use /clawmart-customer-insights
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug clawmart-customer-insights
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is ClawMart Customer Insights?

分析客户行为和成交数据,提供客户分级、成交预测及个性化营销建议,助力精准跟进和转化提升。 It is an AI Agent Skill for Claude Code / OpenClaw, with 320 downloads so far.

How do I install ClawMart Customer Insights?

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

Is ClawMart Customer Insights free?

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

Which platforms does ClawMart Customer Insights support?

ClawMart Customer Insights is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created ClawMart Customer Insights?

It is built and maintained by yang1002378395-cmyk (@yang1002378395-cmyk); the current version is v1.0.0.

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