用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/a5c-ai/babysitter --skill cost-to-serve-analyzer命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | cost-to-serve-analyzer |
| description | Supply chain cost-to-serve analysis skill by customer, product, or channel |
| allowed-tools | ["Read","Write","Glob","Grep","Bash"] |
| metadata | {"specialization":"supply-chain","domain":"business","category":"analytics","priority":"standard"} |
| graph | {"domains":["domain:supply-chain"],"specializations":["specialization:supply-chain-optimization"],"skillAreas":["skill-area:procurement-management","skill-area:financial-planning","skill-area:data-analytics"],"workflows":["workflow:vendor-onboarding","workflow:vendor-evaluation"],"roles":["role:supply-chain-analyst","role:financial-analyst","role:procurement-manager"]} |
The Cost-to-Serve Analyzer provides detailed supply chain cost analysis by customer, product, or channel. It applies activity-based costing principles to allocate supply chain costs accurately, enabling profitability analysis and cost optimization decisions.
cost_to_serve_request:
analysis_dimensions:
by_customer: boolean
by_product: boolean
by_channel: boolean
cost_data:
procurement_costs: object
manufacturing_costs: object
logistics_costs: object
inventory_costs: object
service_costs: object
overhead_costs: object
activity_data:
order_volumes: object
shipment_data: object
service_interactions: object
revenue_data: object
allocation_rules:
cost_drivers: array
allocation_bases: object
analysis_period:
start_date: date
end_date: date
cost_to_serve_output:
cost_allocation:
by_customer: array
- customer_id: string
revenue: float
costs:
procurement: float
inventory: float
logistics: float
service: float
overhead: float
total: float
margin: float
margin_percent: float
by_product: array
by_channel: array
profitability_analysis:
profitable_segments: array
unprofitable_segments: array
profitability_distribution: object
cost_drivers:
key_drivers: array
driver_sensitivity: object
optimization_opportunities:
recommendations: array
- opportunity: string
segment: string
current_cost: float
target_cost:
Input: Customer revenue, allocated costs
Process: Calculate cost-to-serve by customer
Output: Customer profitability ranking with drivers
Input: Multi-channel cost and revenue data
Process: Allocate costs by channel activities
Output: Channel profitability comparison
Input: Detailed activity and cost data
Process: Identify and quantify cost drivers
Output: Cost driver impact analysis