simpy
Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.
85
73%
Does it follow best practices?
Impact
92%
1.73xAverage score across 6 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/simpy/SKILL.mdEvaluation results
93%
42%Call Center Capacity Analysis
Script template usage for queue simulations
Uses SimulationConfig
0%
100%
Uses run_simulation
0%
30%
Calls stats.report()
0%
100%
Uses ResourceMonitor
0%
100%
Calls monitor.report()
0%
100%
Random seed set
100%
100%
Context manager for resource
100%
100%
Modular separation
62%
100%
Monitoring during simulation
100%
100%
Generator yield pattern
100%
100%
CSV export present
100%
100%
Output files produced
100%
100%
100%
56%Fuel Depot Operations Simulation
Multi-resource monitoring and container tracking
Uses MultiResourceMonitor
0%
100%
Adds multiple resources
0%
100%
Calls report_all or summary
0%
100%
Uses ContainerMonitor
0%
100%
Calls container monitor report
0%
100%
Context manager for resources
100%
100%
CSV export called
50%
100%
CSV file produced
100%
100%
Monitoring during simulation
50%
100%
Generator yield pattern
100%
100%
Random seed set
100%
100%
simpy.Container used
100%
100%
88%
-12%Hospital Emergency Room Simulation
Process interruption, priority resources, and composite events
Uses PriorityResource
100%
100%
Priority numbers correct
100%
100%
Interrupt exception handled
100%
100%
Interrupt cause used
100%
100%
AllOf or & operator used
100%
100%
AnyOf or | operator used
100%
0%
New events for re-signaling
100%
55%
Context manager for resource
100%
100%
Generator yield pattern
100%
100%
Random seed set
100%
100%
Simulation output file
100%
100%
Script produces output
100%
100%
76%
37%Warehouse Order Dispatch Simulation
FilterStore and PriorityStore selective dispatch
Uses FilterStore
0%
100%
Filter lambda in get()
0%
100%
Uses PriorityStore
0%
0%
PriorityItem with __lt__
50%
0%
Priority order correct
100%
100%
Generator yield pattern
0%
100%
Context manager for resources
0%
100%
Per-order statistics collected
100%
100%
Timestamps included
66%
100%
CSV file produced
100%
100%
Random seed set
100%
100%
100%
53%Machine Shop Preemptive Scheduling Simulation
PreemptiveResource with resumable work tracking
Uses PreemptiveResource
0%
100%
try-except simpy.Interrupt
0%
100%
Remaining work tracked
100%
100%
Job resumes after preemption
100%
100%
Priority order correct
0%
100%
Context manager for resource
0%
100%
Preemption events logged
100%
100%
Timestamps in log
100%
100%
CSV file produced
100%
100%
Generator yield pattern
0%
100%
Random seed set
100%
100%
100%
58%IoT Sensor Gateway Real-Time Demo Simulation
Real-time environment and interval-based monitoring
Uses RealtimeEnvironment
0%
100%
factor parameter set
0%
100%
Interval monitoring process
0%
100%
Monitoring separate from sensors
25%
100%
Timestamps in records
100%
100%
Data collected during simulation
100%
100%
CSV file produced
100%
100%
Generator yield pattern
0%
100%
Random seed set
100%
100%
Summary printed
100%
100%
- Repository
- K-Dense-AI/claude-scientific-skills
- Commit
086de41
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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