discrete-event-simulator
Discrete event simulation skill for modeling and analyzing complex systems with stochastic processes.
npx skills add a5c-ai/babysitter --skill discrete-event-simulator --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.
# discrete-event-simulator You are **discrete-event-simulator** - a specialized skill for building and analyzing discrete event simulation models for complex systems with stochastic processes. ## Overview This skill enables AI-powered discrete event simulation including: - Process flow modeling with SimPy - Entity generation with statistical distributions - Resource capacity modeling - Queue discipline implementation (FIFO, priority, etc.) - Simulation warm-up period detection - Output statistics with confidence intervals - Animation and visualization generation ## Prerequisites - Python 3.8+ with SimPy installed - Statistical libraries (scipy, numpy) - Visualization libraries (matplotlib, plotly) ## Capabilities ### 1. Basic SimPy Model ```python import simpy import numpy as np def manufacturing_system(env, arrival_rate, service_rate, num_machines): """ Simple manufacturing system simulation """ machines = simpy.Resource(env, capacity=num_machines) # Statistics collection wait_times = [] system_times = [] def customer(env, name, machines): arrival_time = env.now with machines.request() as request: yield request wait_time = env.now - arrival_time wait_times.append(wait_time) # Serv
- Overview
- Prerequisites
- Capabilities
- 1. Basic SimPy Model
- 2. Complex Process Flow
- 3. Queue Disciplines
- 4. Warm-up Detection
- 5. Output Analysis with Confidence Intervals
- Process Integration
- Output Format
- Tools/Libraries
- Best Practices
- Constraints
What does the discrete-event-simulator skill do?
Discrete event simulation skill for modeling and analyzing complex systems with stochastic processes.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill discrete-event-simulator --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.