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ClawMart Customer Insights
作者
yang1002378395-cmyk
· GitHub ↗
· v1.0.0
· MIT-0
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当前安装
1
版本数
在 OpenClaw 中安装
/install clawmart-customer-insights
功能描述
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。
使用说明 (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
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install clawmart-customer-insights - 安装完成后,直接呼叫该 Skill 的名称或使用
/clawmart-customer-insights触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
常见问题
ClawMart Customer Insights 是什么?
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。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 320 次。
如何安装 ClawMart Customer Insights?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install clawmart-customer-insights」即可一键安装,无需额外配置。
ClawMart Customer Insights 是免费的吗?
是的,ClawMart Customer Insights 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
ClawMart Customer Insights 支持哪些平台?
ClawMart Customer Insights 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 ClawMart Customer Insights?
由 yang1002378395-cmyk(@yang1002378395-cmyk)开发并维护,当前版本 v1.0.0。
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