systems-dynamics-modeler

Skill for building and simulating systems dynamics models

509 stars

Best use case

systems-dynamics-modeler is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Skill for building and simulating systems dynamics models

Teams using systems-dynamics-modeler should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/systems-dynamics-modeler/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/scientific-discovery/skills/systems-dynamics-modeler/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/systems-dynamics-modeler/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How systems-dynamics-modeler Compares

Feature / Agent	systems-dynamics-modeler	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Skill for building and simulating systems dynamics models

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Systems Dynamics Modeler Skill

## Purpose

Build and simulate systems dynamics models to understand complex system behavior, feedback loops, and emergent phenomena.

## Capabilities

- Build stock-flow diagrams
- Model feedback loops
- Simulate system behavior
- Analyze equilibria
- Perform sensitivity analysis
- Generate scenarios

## Usage Guidelines

1. Define system boundaries
2. Identify stocks and flows
3. Model feedback loops
4. Parameterize model
5. Run simulations
6. Analyze results

## Process Integration

Works within scientific discovery workflows for:
- Complex systems analysis
- Policy modeling
- Scenario planning
- Behavior prediction

## Configuration

- Model parameters
- Simulation settings
- Visualization options
- Output formats

## Output Artifacts

- System diagrams
- Simulation results
- Scenario analyses
- Behavior reports

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