SimPy is a tool for building computer simulations of real world systems. You can model factories, hospitals, traffic, or any place where things wait in line and share resources. The simulation runs step by step over time. Each event happens at a specific moment. This helps you see how a system behaves before building it.
With SimPy you write simple Python functions that act like processes. For example a customer arrives, waits for a server, gets served, and leaves. The library handles the waiting and scheduling for you. You can change resource counts or timing to test different setups. This makes it easy to find problems and improve efficiency.
Global
mkdir -p ~/.claude/skills/simpyProject
mkdir -p .claude/skills/simpySource Repository
Explore Runlllllllama/rigorpilot-skills
Plan and rank quick deep learning exploration runs with clear boundaries
Run Trainlllllllama/rigorpilot-skills
Run deep learning training conservatively with structured logs and metrics
Env And Assets Bootstraplllllllama/rigorpilot-skills
Safe and careful setup of conda environments and asset paths for deep learning reproduction
Env And Assets Bootstraplllllllama/ai-paper-reproduction-skill
Prepare conda-first environment and asset paths for deep learning reproduction
Data Visualizationanthropics/knowledge-work-plugins
Pick the right chart, write clean Python code, and design for everyone
Powerbi Modelinggithub/awesome-copilot
Expert guidance for building optimized Power BI semantic models with star schemas and DAX
Power Bi Dax Optimizationgithub/awesome-copilot
Make your Power BI DAX formulas faster and easier to maintain
Bigquery Basicsgoogle/skills
Easily analyze massive datasets with SQL and built-in machine learning