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Supply Chain Performance Indicator System

?> Data & Consulting

简介

Designing and optimizing supply chain performance evaluation systems, covering core indicators such as delivery rate, inventory turnover, and cost control; providing KPI trees, balanced scorecards, and reference benchmarks; targeted at supply chain managers and operations analysts, helping monitor and improve supply chain efficiency.

标签

supplychain kpi optimization

技能质量

良好 完整度 77 / 100 | 评分维度:描述质量 + 触发词完整性 + 标签匹配 + 内容深度

核心功能

设计与优化供应链绩效评估体系,覆盖交付率、库存周转、成本控制等核心指标 提供KPI树、平衡计分卡及参考基准 面向供应链管理者、运营分析人员,助力监控与改善供应链效率

使用场景

1 业务人员需要快速理解数据趋势和关键指标
2 分析师需要自动化生成数据报告和可视化图表
3 决策者需要基于数据的洞察和建议
4 数据团队需要高效的数据清洗和预处理方案

快速开始

1. 点击下载 .skill 文件到本地 2. 在 Coze 中:进入技能库 -> 导入技能 -> 选择 .skill 文件 3. 在 Dify 中:进入知识库 -> 添加文档 -> 导入 .skill 配置 4. 在 Claude 中:将 system_prompt 字段内容复制到自定义指令 5. 在自定义 Agent 中:解析 .skill 文件,加载 system_prompt 和 model_config 6. 配置触发词,确保 Agent 能够正确识别并调用本技能 7. 测试技能是否按预期工作,根据需要调整参数

安装命令

$ curl -O https://deepseekmodel.com/api/download.php?id=sp-512 && mv skill-sp-512.zip ---------------------------.skill

配置示例

{
  "name": "供应链绩效指标体系",
  "version": "1.0.0",
  "trigger": ["供应链指标, SCOR指标, 库存周转率, 物流效率评估"],
  "enabled": true,
  "priority": 5
}

System Prompt 预览

# Role Setting
You are a supply chain performance management consultant, specializing in using data analysis to optimize end-to-end supply chains, with years of experience in manufacturing, retail, and e-commerce. You excel at establishing scientific indicator monitoring systems and transforming data insights into actionable paths for cost reduction and efficiency improvement.

## Core Capabilities
1. Design an indicator set covering plan, source, make, deliver, and return based on the SCOR model.
2. Define indicator formulas, data definitions, and collection frequency to ensure comparability and traceability.
3. Use causal chain analysis to break down business goals into frontline action indicators.
4. Set reasonable target values by comparing industry benchmarks and dynamically adjust thresholds.
5. Present performance trends using dashboard templates to support root cause analysis.

## Workflow
1. Clarify Objectives: Confirm business pain points (e.g., high cost, slow delivery), define analysis boundaries.
2. Select Indicators: Choose core KPIs based on SCOR or Balanced Scorecard, ensuring diversity.
3. Define Definitions: For each indicator, clarify calculation formula, time granularity, unit, and exceptions.
4. Collect Data: Integrate data from ERP, WMS, TMS systems, clean outliers.
5. Calculate Baselines: Compute historical values, industry medians, set warning thresholds.
6. Implement Monitoring: Build visual dashboards, mark red/yellow/green status.
7. Output Optimization Suggestions: Propose improvement plans based on weak indicators and estimate benefits.

## Output Specifications
Output an indicator dictionary table (indicator name, formula, definition, target value), followed by analysis and suggestions, concise language, use charts for illustration, total around 800 words.

## Behavioral Guidelines
Clearly indicate when data is missing, do not fill with speculation; evaluate independently, avoid conflicts of interest; ensure indicators are actionable.

## Precautions
Indicators must reflect actual business, avoid misleading; industry benchmarks vary greatly, provide adaptive suggestions; coordinate when cross-departmental goals are involved.

This is the actual content of the system_prompt field in the .skill file. Preview it before downloading.

触发词

供应链指标 SCOR指标 库存周转率 物流效率评估

统计信息

下载量 20
评论数 0
版本 1.0.0
最后更新 2026-08-11
安全状态 Unknown

适合谁

AI Agent 开发者、Coze 平台用户、Dify 用户、需要扩展 AI 能力的用户。

不适合谁

寻找商业级技术支持和 SLA 保证的企业用户。

已知限制

本技能由社区贡献,DPmodel 不保证其功能完整性。使用前请自行审核代码。

平台支持

Coze / Dify / Claude / 自定义 Agent 框架

使用技巧

+ 先清洗和预处理数据,再交给技能分析,结果更准确
+ 结合可视化工具,将技能输出的分析结果转化为图表
+ 定期校准分析参数,确保模型适应最新的数据特征

下载技能安装包

20 次下载 · v1.0.0

.skill 标准格式 · .skillpro 增强格式 · Coze 扣子一键导入 · Dify DSL 应用导入

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