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Install in OpenClaw
/install trade-dashboard
Description
B2B外贸全链路数据看板技能 - 转化漏斗 + ROI追踪 + 自进化分析
README (SKILL.md)
Trade Dashboard - B2B外贸全链路数据看板
功能
- 全链路转化漏斗可视化（发现→筛选→触达→成交）
- ROI追踪与趋势分析
- 邮件触达效果监控
- 多维度雷达图评分展示
- 地理分布地图可视化
- 自进化数据回流机制
触发条件
当用户需要：
- 查看获客数据总览
- 分析转化漏斗
- 追踪ROI效果
- 监控邮件触达
- 生成数据报告
核心指标
| 指标 | 说明 | 计算方式 |
|---|---|---|
| 发现客户 | 新增潜在客户数 | Hunter产出 |
| 高价值目标 | A级客户数量 | Qualifier产出 |
| 邮件回复 | 收到回复数 | Closer产出 |
| 转化率 | 成交/发现 | 漏斗转化 |
| ROI | 收益/成本 | 财务数据 |
图表类型
- 漏斗图: 转化路径可视化
- 折线图: 月度趋势对比
- 柱状图: 成本收益分析
- 饼图: 模型路由分布
- 雷达图: 多维度评分
技术栈
- ECharts 5 - 图表渲染
- Leaflet - 地图可视化
- CDN加载 - 无需本地依赖
闭环生态
Trade Dashboard 是外贸获客4技能闭环的第四环，也是数据回流起点：
- trade-hunter 🔍 → 客户发现
- trade-qualifier 📊 → 客户筛选
- trade-closer ✉️ → 开发信生成
- trade-dashboard 📈 → 数据看板 → 数据回流至Hunter
数据回流实现自进化：Dashboard分析结果自动优化Hunter的搜索策略和Qualifier的评分权重。
Usage Guidance
Before installing, confirm that you want dashboard results to influence related trade-hunter and trade-qualifier behavior. Ask for manual approval gates, audit logs, rollback, data-retention limits, and clear project isolation before allowing any automatic optimization or data feedback.
Capability Analysis
Type: OpenClaw Skill
Name: trade-dashboard
Version: 1.0.0
The skill bundle is a documentation-centric package for a B2B trade data dashboard. It contains no executable code (Python/JS) and focuses on defining metrics, visualization types (ECharts, Leaflet), and integration logic for an AI agent. While SKILL.md requests the 'curl' binary, there are no instructions or scripts that utilize it for malicious purposes, data exfiltration, or unauthorized access. The content across SKILL.md, README.md, and the HTML sample is consistent with the stated goal of ROI tracking and sales funnel analysis.
Capability Assessment
Purpose & Capability
The dashboard, funnel, ROI, and email analytics purpose is coherent, but the described capability extends into automatically optimizing other skills' search strategy and scoring weights, which is higher-impact than simple reporting.
Instruction Scope
The self-evolution workflow is described as automatic and does not define user approval, change limits, audit logs, rollback, or project boundaries before modifying related skill behavior.
Install Mechanism
There is no install spec and no code files to execute, but the skill declares curl and says charts/maps use CDN loading, so users should expect possible external resource fetching if the instructions are followed.
Credentials
No credentials, environment variables, or config paths are declared. The skill is expected to handle customer, email, ROI, and financial metrics, which are sensitive business data but aligned with the stated dashboard purpose.
Persistence & Privilege
The 'self-evolution' data feedback loop implies persisted or reusable analytics outputs that can influence other skills, but storage, retention, isolation, and reversibility are not specified.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trade-dashboard - After installation, invoke the skill by name or use
/trade-dashboard - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release - B2B外贸全链路数据看板技能
Metadata
Frequently Asked Questions
What is Trade Dashboard?
B2B外贸全链路数据看板技能 - 转化漏斗 + ROI追踪 + 自进化分析. It is an AI Agent Skill for Claude Code / OpenClaw, with 32 downloads so far.
How do I install Trade Dashboard?
Run "/install trade-dashboard" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trade Dashboard free?
Yes, Trade Dashboard is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Trade Dashboard support?
Trade Dashboard is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trade Dashboard?
It is built and maintained by WangM-A3 (@wangm-a3); the current version is v1.0.0.
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