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cb-returns-management-systemCB 退货管理系统

Agent Skill

cb-returns-management-system 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

2,590

周安装

109

GitHub Stars

公开资料未说明

下载量

907
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-returns-management-system(CB 退货管理系统)
来源仓库:https://github.com/harrylabsj/cb-returns-management-system
安装命令:
openclaw skills install cb-returns-management-system
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-returns-management-system

简介

CB 退货管理系统优化国际逆向物流流程,降低退货成本并提升客户满意度。

  • 适用于跨境电商或全球零售企业,用于设计高效的退换货网络与承运商协作机制。
  • 提供关税处理、质检标准与再入库策略建议,支持自动化标签生成与状态跟踪。
  • 使用时应限制对订单与仓储系统的直接操作,仅通过只读方式获取必要信息进行分析。
  • 注意不同国家对二手商品转售的限制,确保方案符合目的地国法规要求。

SKILL.md

skill
cb-returns-management-system
name
International Returns Management System
type
descriptive
version
1.0.0
description
Cost-effective international returns and reverse logistics
author
Golden Bean (OpenClaw)
created
2026-04-22
category
returns
language
en
tags
["returns", "logistics", "reverse", "international", "customer-service"]
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 Returns Management System

Overview

International Returns Management System (Cost-effective international returns and reverse logistics). This skill provides a structured framework for planning and managing cross-border returns processes. It covers reverse logistics optimization, cost analysis, customer experience management, and regulatory compliance for international returns.

The framework helps businesses balance customer satisfaction with operational efficiency in international returns management, considering regional differences in consumer protection laws and logistics infrastructure.

Trigger Keywords

  • "international returns management"
  • "cross-border reverse logistics"
  • "returns cost optimization"
  • "global returns policy"
  • "international customer returns"
  • "reverse logistics framework"

Workflow

  1. Input Analysis: Parse user input to extract target markets, product types, and business parameters
  2. Returns Framework: Generate returns management framework with cost analysis
  3. Logistics Planning: Develop reverse logistics strategy for target markets
  4. Customer Experience: Design customer-friendly returns process
  5. Output Delivery: Return comprehensive JSON with analysis and recommendations

Output Modules

Returns Cost Analysis

  • Return rate estimation by market and product category
  • Shipping and handling cost breakdown
  • Restocking and refurbishment cost analysis
  • Disposal and liquidation cost considerations
  • Cost optimization strategies

Reverse Logistics Framework

  • Return shipping carrier selection and routing
  • Customs and duty considerations for returns
  • Warehouse and inspection hub placement
  • Inventory management for returned goods
  • Return consolidation strategies

Customer Experience Optimization

  • Return policy design for international markets
  • Customer communication and tracking
  • Refund processing and timeline management
  • Exchange and store credit alternatives
  • Customer satisfaction measurement

Regulatory Compliance

  • Consumer protection laws by market
  • Return window requirements by jurisdiction
  • Labeling and documentation requirements
  • Environmental regulations for returns processing
  • Data privacy considerations

Safety & Limitations

Safety Boundaries

  • No Professional Advice: Provides informational frameworks only. Does not replace logistics or legal professionals.
  • No Real-Time Data: Based on general frameworks, not current carrier rates or regulations.
  • No Transactions: No booking, shipping label generation, or refund processing.
  • No Code Execution: Pure descriptive implementation. No shell commands or network requests.
  • Descriptive Only: Provides planning frameworks and guidance only.

Limitations

  • Shipping costs and carrier options vary by region and change frequently
  • Customs regulations for returns differ significantly by country
  • Product-specific factors may alter return handling requirements
  • Consumer protection laws are subject to change
  • Infrastructure quality varies by market

Example Prompts

Level 1: Basic Inquiry

"How to manage international returns for my e-commerce business?"

Level 2: Specific Scenario

"Returns management for fashion products in EU markets"

Level 3: Complex Planning

"Multi-market returns optimization for electronics in US, EU, and Asia"

Level 4: Detailed Case

"US-based fashion retailer managing returns from France, Germany, and UK with <10% return rate target"

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 returns-specific cost analysis and logistics 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-shipping-optimizer for outbound logistics integration
  • Integrates with cb-customer-service-localizer for returns communication
  • Supports cb-compliance-framework for regulatory considerations

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
  • Returns cost analysis framework
  • Reverse logistics planning
  • Customer experience optimization
  • Regulatory compliance considerations
  • 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
  • Returns-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

80.91%
按下载量换算734

安全审计

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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-returns-management-system 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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