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supply-chain-optimization-amazon亚马逊供应链优化

Agent Skill

supply-chain-optimization-amazon 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

4,406

周安装

180

GitHub Stars

公开资料未说明

下载量

1,426
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:supply-chain-optimization-amazon(亚马逊供应链优化)
来源仓库:https://github.com/phheng/supply-chain-optimization-amazon
安装命令:
openclaw skills install supply-chain-optimization-amazon
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 supply-chain-optimization-amazon

简介

通过对话诊断供应链瓶颈并提供降低成本策略。supply-chain-optimization-amazon 属于效率类 Skill,可作为该场景下的辅助能力补充。

  • 适合在 OpenClaw 中处理效率相关任务时使用。
  • 通过 clawhub 安装,结合仓库文档验证具体用法。
  • 需确认权限范围、维护状态及是否触发联网或文件读写。
  • 建议核对原始 README 了解实际功能和限制条件。

SKILL.md

name
supply-chain-optimization-amazon-lite
version
1.0.0
description
Supply Chain Optimization (Lite) - Diagnose bottlenecks and provide cost reduction strategies through conversation
platform
amazon
lang
en

Supply Chain Optimization (Lite)

Supply chain bottleneck analysis tool - Conversation-based version

No API integration required. Collect data through guided conversation, automatically diagnose bottlenecks and output cost reduction strategies.

Use Cases

  • Amazon seller supply chain health check
  • Bottleneck identification and cost optimization
  • Supply chain decision support

Workflow

Step 1: Trigger Skill

User says:

Analyze my supply chain
Supply chain diagnosis
I want to optimize supply chain costs

Step 2: Business Profile Collection

Guide user to describe in natural language:

👋 Starting Supply Chain Analysis

Please describe your situation in a sentence or two, like:
"I sell kitchen products, 15 SKUs, $50K monthly sales, sourcing from Yiwu, sea freight to FBA, shipping costs seem high"

Or just tell me what problem you want to solve.

Identify and confirm:

  • Category
  • SKU count
  • Monthly revenue scale
  • Sourcing location
  • Logistics model
  • Main pain points

Step 3: Supply Chain Data Collection

Guide user to provide key data:

📊 I need some data to locate bottlenecks (rough numbers are fine)

**Sourcing**
• Product cost (FOB): $___/unit
• Supplier payment terms: ___ days
• Lead time: ___ days

**Logistics**
• Shipping cost per unit: $___
• Transit time: ___ days

**Sales**
• Average selling price: $___
• FBA fulfillment fee: $___/unit
• Monthly storage fee: $___/unit
• Ad spend ratio: ___%

**Inventory**
• Current inventory days: ___ days
• Long-term storage fees: Yes/No

Just reply in natural language.

Step 4: Bottleneck Diagnosis

Run calculation script:

python3 scripts/calculator.py '{"product_cost": 8, "supplier_payment_days": 0, ...}'

Output diagnosis report:

  • Key metrics table (with health status)
  • Cost structure breakdown
  • Top 3 bottlenecks

Step 5: Cost Reduction Strategies

For each bottleneck provide:

  • Problem description
  • Impact analysis
  • Specific recommendations
  • Action checklist

Step 6: Output Format Selection

📤 Analysis complete! Choose output format:

1️⃣ **Text** - View in current conversation (already shown)
2️⃣ **Web Chart** - Generate visual report webpage
3️⃣ **Report Doc** - Document format for sharing/presentation

Reply with number or say "generate web report"

Benchmark Configuration

The following benchmarks can be customized based on your business:

MetricHealthyWarningDanger
Gross Margin>40%30-40%<30%
Shipping Ratio<5%5-10%>10%
Net Margin>20%10-20%<10%
Inventory Turnover<45 days45-60 days>60 days
Cash Cycle<90 days90-120 days>120 days

To adjust, modify BENCHMARKS in scripts/calculator.py.


File Structure

amazon-lite/
├── SKILL.md          # Index (this file)
├── SKILL.en.md       # English version
├── SKILL.zh-CN.md    # Chinese version
├── _meta.json
└── scripts/
    └── calculator.py

_Version 1.0.0 | Platform: Amazon | Lang: English_


Part of Nexscope AI — AI tools for e-commerce sellers.

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

77.81%
按下载量换算1,110

安全审计

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通过

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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