network-optimization-modeler
Strategic distribution network modeling skill to optimize facility locations, capacity allocation, and inventory positioning
Profile →npx skills add a5c-ai/babysitter --skill network-optimization-modeler --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Network Optimization Modeler ## Overview The Network Optimization Modeler is a strategic skill that optimizes distribution network design including facility locations, capacity allocation, and inventory positioning. It uses advanced modeling techniques to evaluate scenarios and recommend network configurations that minimize cost while meeting service requirements. ## Capabilities - **Facility Location Optimization**: Determine optimal locations for distribution centers, fulfillment centers, and warehouses - **Network Cost-to-Serve Modeling**: Model total cost-to-serve including transportation, inventory, and facility costs - **Capacity Planning and Allocation**: Optimize capacity allocation across facilities and identify expansion needs - **Scenario Analysis (Greenfield, Brownfield)**: Evaluate network redesign scenarios from scratch or building on existing infrastructure - **Service Level Impact Assessment**: Analyze the service level implications of network design decisions - **Carbon Footprint Modeling**: Incorporate sustainability metrics into network optimization decisions - **Risk and Resilience Analysis**: Evaluate network resilience to disruptions and identify vulnerabili
- Overview
- Capabilities
- Tools and Libraries
- Used By Processes
- Usage
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What does the network-optimization-modeler skill do?
Strategic distribution network modeling skill to optimize facility locations, capacity allocation, and inventory positioning
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill network-optimization-modeler --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.