simpy
SimPy - Discrete-Event Simulation
Routing Boundary
Use this skill only for SimPy or explicit discrete-event simulation work involving SimPy environments, resources, processes, queues, and event scheduling. Do not use it for generic simulation, Monte Carlo work, agent-based modeling, physics simulation, animation, or SymPy symbolic math unless the user explicitly asks for SimPy.
Overview
SimPy is a process-based discrete-event simulation framework based on standard Python. Use SimPy to model systems where entities (customers, vehicles, packets, etc.) interact with each other and compete for shared resources (servers, machines, bandwidth, etc.) over time.
Core capabilities:
- Process modeling using Python generator functions
- Shared resource management (servers, containers, stores)
- Event-driven scheduling and synchronization
- Real-time simulations synchronized with wall-clock time
- Comprehensive monitoring and data collection
When to Use This Skill
More from foryourhealth111-pixel/vibe-skills
ralph-loop
Codex-compatible Ralph loop runner with dual engines (compat local state loop + optional open-ralph-wiggum backend).
7clinical-reports
Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation tools.
4polars
Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.
4lqf_machine_learning_expert_guide
|
3detecting-performance-regressions
|
3creating-data-visualizations
|
3