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ecommerce-returns-management

@nexscope-ai · 收录于 1 周前

Optimize e-commerce returns process and reduce return rates. Returns policy design, reverse logistics, root cause analysis, and customer retention through better returns experience.

场景退货管理客户留存逆向物流

适合你，如果正在运营电商业务并希望减少退货损失

/ 下载安装
ecommerce-returns-management.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add nexscope-ai/ecommerce-skills/ecommerce-returns-management
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- nexscope-ai/ecommerce-skills/ecommerce-returns-management
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify nexscope-ai/ecommerce-skills/ecommerce-returns-management
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

技能原文 SKILL.md作者撰写 · MIT · 3ff915d

E-Commerce Returns Management 📥

Optimize e-commerce returns process and reduce return rates. Returns policy design, reverse logistics, root cause analysis, and customer retention through better returns experience.

Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

Install
npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-returns-management -g
Usage
My return rate is 22% on Amazon (clothing category). Industry average is 15-20%. Help me analyze why and reduce it.
Capabilities
  • Returns rate benchmarking by category
  • Return reason analysis and root cause identification
  • Returns policy optimization (balancing customer satisfaction vs cost)
  • Reverse logistics workflow design
  • Return cost calculation (shipping, restocking, loss)
  • Product listing improvements to reduce returns (size guides, photos, descriptions)
  • Customer retention strategies post-return
How This Skill Works

Step 1: Collect information from the user's message — product, platform, current situation, and goals.

Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").

Step 3: Research and analyze using the frameworks and methodology below.

Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.

Output Format
  • Start with a summary of findings
  • Include specific data points and benchmarks where available
  • Provide prioritized action items
  • Mark estimates with ⚠️ when based on incomplete data
  • End with concrete next steps
Other Skills

More e-commerce skills: nexscope-ai/eCommerce-Skills

Amazon-specific skills: nexscope-ai/Amazon-Skills

Built by Nexscope — your AI assistant for smarter e-commerce decisions.

按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

评论

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