warehouse-simulation-modeler
Discrete event simulation skill for warehouse design validation and capacity planning
npx skills add a5c-ai/babysitter --skill warehouse-simulation-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.
# Warehouse Simulation Modeler ## Overview The Warehouse Simulation Modeler provides discrete event simulation capabilities for warehouse design validation and capacity planning. It models warehouse processes, identifies bottlenecks, and evaluates scenarios to support investment decisions and operational improvements. ## Capabilities - **Process Flow Simulation**: Simulate end-to-end warehouse processes including receiving, putaway, picking, packing, and shipping - **Bottleneck Identification**: Identify process bottlenecks and constraints limiting throughput - **Capacity Scenario Modeling**: Model capacity under different demand scenarios and operational assumptions - **Equipment Utilization Analysis**: Analyze utilization of material handling equipment and identify optimization opportunities - **Labor Requirement Forecasting**: Forecast labor requirements based on volume projections and process models - **Layout Optimization Testing**: Test and compare warehouse layout alternatives through simulation - **ROI Calculation for Automation**: Calculate return on investment for automation and technology investments ## Tools and Libraries - SimPy - AnyLogic - FlexSim - Arena - Python Si
- Overview
- Capabilities
- Tools and Libraries
- Used By Processes
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- Performance Metrics
What does the warehouse-simulation-modeler skill do?
Discrete event simulation skill for warehouse design validation and capacity planning
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill warehouse-simulation-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.