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wangm-a3

Global Customer Agent

by WangM-A3 · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ✓ Security Clean
61
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4
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Install in OpenClaw
/install global-customer-agent
Description
7×24小时36语种客户接待。自动理解多语种需求,智能推荐商品,生成多语种报价,让全球客户都能获得专业服务体验,适合有多语种客户的外贸企业和独立站运营。
README (SKILL.md)

跨境客户Agent

记忆点

7×24小时36语种客户接待

核心功能

1. 多语种即时响应

  • 36个语种自动识别和回复
  • 专业术语准确翻译
  • 本地化表达习惯

2. 全天候客户接待

  • 7×24小时不间断服务
  • 毫秒级响应速度
  • 夜间询盘零遗漏

3. 智能需求理解

  • 自动提取客户需求关键词
  • 产品匹配推荐
  • 库存状态实时查询

4. 多语种报价生成

  • 支持36语种报价单
  • 自动汇率计算
  • 规格参数本地化

客户生命周期管理

阶段 核心诉求 运营策略
潜在客户 了解产品 多渠道曝光
询盘客户 快速响应 24h内专业回复
报价客户 透明价格 详细方案+案例
成交客户 信任建立 定期跟进
复购客户 便捷体验 个性化推荐

语种支持

语种 区域 优先级
英语 全球通用 P0
西班牙语 拉美/西班牙 P0
法语 非洲/法国 P0
德语 欧洲 P1
葡萄牙语 巴西/葡萄牙 P1
俄语 俄语区 P1
阿拉伯语 中东 P1
日韩语 东亚 P1
其他28语种 东南亚/南亚 P2

响应模板

## 询盘响应
[自动识别语种]
Thank you for your inquiry about [产品].
We have [规格] in stock. 
Price: $XX/unit, MOQ: XX units.
Delivery: XX days to [目的港].

## 报价生成
[自动生成多语种报价单]
- Product specs
- Pricing (FOB/CIF/EXW)
- Payment terms
- Delivery timeline

关键指标

  • 响应时间:\x3C1分钟
  • 语种识别准确率:>95%
  • 询盘转化率:>15%
  • 客户满意度:>90%
Usage Guidance
This skill appears safe to install as an instruction-only customer-service template. Before using it in live commerce channels, configure trusted pricing, inventory, shipping, and language-review processes, and avoid letting it send binding quotes or promises without human approval.
Capability Analysis
Type: OpenClaw Skill Name: global-customer-agent Version: 1.1.0 The skill bundle contains purely informational Markdown documentation and metadata designed to guide an AI agent in providing multi-language customer service. There is no executable code, no network requests, and no evidence of malicious instructions or prompt injection across the analyzed files (SKILL.md, clawhub.yaml, and references/customer-lifecycle.md).
Capability Tags
cryptocan-make-purchases
Capability Assessment
Purpose & Capability
The stated purpose, multilingual customer reception and quote generation, is coherent with the included instructions and reference material. Some claimed capabilities such as real-time inventory checks and quotation generation depend on accurate business data that is not supplied by the skill.
Instruction Scope
The skill encourages automatic customer responses and quote templates, which is purpose-aligned but should be bounded by approved product, inventory, pricing, and human-review rules.
Install Mechanism
No install spec, code files, binaries, scripts, package dependencies, or required environment variables are present.
Credentials
The artifacts do not request local files, credentials, account sessions, privileged access, or network/API integrations.
Persistence & Privilege
No persistence mechanism, background worker, memory store, credential use, or privilege escalation behavior is shown.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install global-customer-agent
  3. After installation, invoke the skill by name or use /global-customer-agent
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.4
Brand update
v1.0.1
Brand update
v1.1.0
Initial release
v1.0.0
Initial release: 24/7 multilingual customer engagement agent
Metadata
Slug global-customer-agent
Version 1.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is Global Customer Agent?

7×24小时36语种客户接待。自动理解多语种需求,智能推荐商品,生成多语种报价,让全球客户都能获得专业服务体验,适合有多语种客户的外贸企业和独立站运营。 It is an AI Agent Skill for Claude Code / OpenClaw, with 61 downloads so far.

How do I install Global Customer Agent?

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

Is Global Customer Agent free?

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

Which platforms does Global Customer Agent support?

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

Who created Global Customer Agent?

It is built and maintained by WangM-A3 (@wangm-a3); the current version is v1.1.0.

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