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cb-customer-service-localizercb 客户服务本地化人员

Agent Skill

cb-customer-service-localizer 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,766

周安装

113

GitHub Stars

公开资料未说明

下载量

886
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cb-customer-service-localizer(cb 客户服务本地化人员)
来源仓库:https://github.com/harrylabsj/cb-customer-service-localizer
安装命令:
openclaw skills install cb-customer-service-localizer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install cb-customer-service-localizer

简介

cb-customer-service-localizer 为国际客户提供适配的服务语言和流程支持。

  • 适用于多语种客服、跨文化沟通和客户满意度提升任务。
  • 通过 openclaw skills install cb-customer-service-localizer 安装使用。
  • 使用前请确认翻译准确性和客户数据隐私保护措施。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

skill
cb-customer-service-localizer
name
International Customer Service Localizer
type
descriptive
version
1.0.0
description
Customer service adaptation for international audiences
author
Golden Bean (OpenClaw)
created
2026-04-22
category
customer-service
language
en
tags
["customer-service", "localization", "multilingual", "support", "international"]
outputs
json
requires_api
false
safety_boundary
Descriptive cross-border e-commerce planning only. No code execution, API calls, network requests, bookings, or real-time data. Does not provide professional advice. Verify information with official sources and qualified professionals.

International Customer Service Localizer

Overview

International Customer Service Localizer (Customer service adaptation for international audiences). This skill provides a structured framework for localizing customer service operations for international markets. It covers multilingual support strategies, cultural service adaptation, channel selection, and quality management for cross-border customer service.

The framework helps businesses deliver culturally appropriate customer experiences across different markets while maintaining operational efficiency and service quality standards.

Trigger Keywords

  • "international customer service"
  • "multilingual support localization"
  • "cross-border customer experience"
  • "global customer service strategy"
  • "cultural service adaptation"
  • "international support channels"

Workflow

  1. Input Analysis: Parse user input to extract target markets, service channels, and business parameters
  2. Localization Framework: Generate culture-specific service adaptation recommendations
  3. Multilingual Planning: Develop language support strategy and resource planning
  4. Channel Optimization: Design market-appropriate service channels
  5. Output Delivery: Return comprehensive JSON with analysis and recommendations

Output Modules

Service Localization Framework

  • Communication style adaptation by culture
  • Etiquette and protocol considerations
  • Response time expectations by market
  • Escalation process cultural adaptation
  • Service recovery approach by culture

Multilingual Support Plan

  • Language coverage strategy and prioritization
  • Translation vs localization approach
  • Native speaker requirements and hiring
  • AI and automation for language support
  • Quality assurance for multilingual support

Cultural Service Adaptation

  • Greeting and opening style by culture
  • Formality level adjustment recommendations
  • Problem-solving approach by cultural context
  • Complaint handling cultural differences
  • Appreciation and follow-up cultural norms

Channel Optimization

  • Preferred support channels by market
  • Social media customer service platforms
  • Self-service portal localization
  • Phone support cultural considerations
  • Chat and messaging platform preferences

Safety & Limitations

Safety Boundaries

  • No Professional Advice: Provides informational frameworks only. Does not replace HR or customer service professionals.
  • No Real-Time Data: Based on general frameworks, not current staffing or platform availability.
  • No Service Delivery: No actual customer service or support capabilities.
  • No Code Execution: Pure descriptive implementation. No shell commands or network requests.
  • Descriptive Only: Provides planning frameworks and guidance only.

Limitations

  • Cultural generalizations may not apply to all customer segments
  • Language availability varies by market and changes over time
  • Staffing costs and availability differ significantly by market
  • Technology platform capabilities vary by region
  • Service quality standards differ across cultures

Example Prompts

Level 1: Basic Inquiry

"How to localize customer service for international markets?"

Level 2: Specific Scenario

"Multilingual support strategy for Japanese and German customers"

Level 3: Complex Planning

"Multi-market customer service localization for US, EU, and Asia with omnichannel support"

Level 4: Detailed Case

"US e-commerce company setting up customer service in France, Germany, and Japan with 24/7 multilingual chat support"

Acceptance Criteria

Functional Requirements

  • Returns valid JSON structure from handle() function
  • Includes input_analysis field with parsed input information
  • Contains proper disclaimer with safety boundaries
  • Provides customer-service-specific localization framework
  • Differentiated from other cross-border e-commerce skills

Quality Requirements

  • Clear and structured output
  • Comprehensive framework coverage
  • Actionable implementation guidance
  • Proper safety boundaries enforced
  • Input differentiation verified through tests

Integration

Complementary Skills

  • Works with cb-cultural-marketing-framework for consistent cultural approach
  • Integrates with cb-returns-management-system for returns communication
  • Supports cb-market-entry-strategist for market-specific service planning

Input/Output Flow

  • Accepts natural language input via handle() function
  • Returns structured JSON for system integration
  • Can be chained with related skills for multi-faceted analysis

Version History

v1.0.0 (2026-04-22)

  • Initial release
  • Service localization framework
  • Multilingual support planning
  • Cultural service adaptation
  • Channel optimization guidance
  • Input parsing and parameter extraction
  • JSON output with input_analysis and disclaimer
  • Safety boundaries and limitations documentation
  • Test coverage with 5 tests per skill

Technical Details

Handler Interface

Dependencies

  • None (pure Python standard library only)

File Structure

  • handler.py: Main handler implementation
  • tests/test_handler.py: Unit tests (5 tests)
  • SKILL.md: This documentation file
  • skill.json: Skill metadata and configuration
  • ACCEPTANCE.md: Acceptance criteria documentation
  • .claw/identity.json: Identity and authorship information

Test Coverage

  • JSON output validation test
  • Disclaimer presence and content test
  • Input differentiation test
  • Customer-service-specific functionality test
  • Differentiation evidence test

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

84.8%
按下载量换算751

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install cb-customer-service-localizer 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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