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/MikeTreml/MissionControl --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。
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Expert Electron application architecture skill for IPC design, main/renderer/preload boundaries, security hardening, performance optimization, packaging strategy, native integration, and cross-platform desktop development. Use when reviewing or designing Electron apps, planning migrations, auditing architecture risks, choosing IPC patterns, diagnosing startup or memory issues, or coordinating related Electron skills.
Generates DrawIO XML diagrams for Amazon Web Services architectures from text descriptions or images. Analyzes existing .drawio files to extract AWS components. Use for AWS architecture diagrams, cloud infrastructure documentation, or when converting AWS diagram images to editable DrawIO format.
Generates DrawIO XML diagrams for Google Cloud Platform architectures from text descriptions or images. Analyzes existing .drawio files to extract GCP components. Use for GCP architecture diagrams, cloud infrastructure documentation, or when converting GCP diagram images to editable DrawIO format.
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"} |
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