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system-dynamics-modeler — Claude Code command: setup & usage

Models complex system dynamics using feedback loops, delay structures, and emergent behavior analysis. Useful for mapping business ecosystems and organizational changes.

Install into Claude Code · claude-code-templates All methods and platforms ↓
npx claude-code-templates@latest --command simulation/system-dynamics-modeler
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What system-dynamics-modeler does

This command guides the agent through a six-step systems thinking framework. It maps stocks, flows, and causal boundaries before analyzing reinforcing and balancing loops. The process tests time-based behavior patterns and detects non-linear consequences.

The prompt configuration enables Read, Write, Edit, and WebSearch tools. This gives Claude Code direct access to read existing project notes, check external facts, and write the dynamic model into files. Execution accepts dedicated flags like --business-ecosystem, --organizational-dynamics, --market-evolution, or --feedback-loops.

Running the command without passing a concrete system domain produces generic archetypes rather than actionable leverage points. The generated output delivers causal diagrams, simulation insights, and policy interventions tailored to the chosen structure.

What it helps with

  • map causal feedback loops, stock variables, and delay mechanisms
  • simulate behavior patterns in market evolution and business ecosystems
  • identify policy leverage points for organizational interventions
  • uncover unintended consequences in complex operational structures

Example prompts for the agent

  • /system-dynamics-modeler --business-ecosystem
  • /system-dynamics-modeler --market-evolution
  • /system-dynamics-modeler "workforce churn and morale" --feedback-loops

How to install system-dynamics-modeler

1claude-code-templates

npx claude-code-templates@latest --command simulation/system-dynamics-modeler

2Manually: put the files in place

.claude/commands/system-dynamics-modeler.md

Call it with /system-dynamics-modeler. For all projects use ~/.claude/commands/

Questions about system-dynamics-modeler

How to install system-dynamics-modeler in Claude Code?

Run npx claude-code-templates@latest --command simulation/system-dynamics-modeler in your terminal. This command automatically adds .claude/commands/system-dynamics-modeler.md to your project.

What does system-dynamics-modeler do?

It analyzes complex environments through stocks, flows, and feedback loops. The command predicts emergent system behaviors and tests strategic policy interventions.

Which flags does system-dynamics-modeler accept?

It accepts a custom system name or predefined flags: --business-ecosystem, --organizational-dynamics, --market-evolution, and --feedback-loops.

Source text

system-dynamics-modeler.md · MIT
---
allowed-tools: Read, Write, Edit, WebSearch
argument-hint: "[system-type] | --business-ecosystem | --organizational-dynamics | --market-evolution | --feedback-loops"
description: Model complex system dynamics with feedback loops, delays, and emergent behavior analysis
---

# System Dynamics Modeler

Model complex system dynamics with comprehensive feedback analysis and emergent behavior prediction: **$ARGUMENTS**

## Current System Context

- System type: Based on $ARGUMENTS (business ecosystem, organizational dynamics, market evolution, feedback loops)
- System boundaries: Components, stakeholders, and environmental factors included in the model
- Key variables: Stock and flow variables, feedback mechanisms, and delay structures
- Behavior patterns: Current system performance and historical dynamics

## Task

Build comprehensive system dynamics model with feedback loops and emergent behavior analysis:

**System Type**: Use $ARGUMENTS to model business ecosystems, organizational dynamics, market evolution, or feedback loop systems

**System Dynamics Framework**:
1. **System Architecture** - Stock and flow identification, causal loop mapping, and boundary definition
2. **Feedback Structure** - Reinforcing loops, balancing loops, and delay modeling with policy resistance analysis
3. **Dynamic Simulation** - Time-based behavior analysis, scenario testing, and sensitivity analysis
4. **Emergent Behavior** - Non-linear effects, unintended consequences, and system archetypes identification
5. **Policy Testing** - Intervention analysis, leverage point identification, and strategy optimization
6. **Learning Laboratory** - What-if experimentation, mental model testing, and insight generation

**Advanced Features**: Nonlinear modeling, stochastic elements, multi-level hierarchy modeling, and behavioral dynamics integration.

**Strategic Applications**: Policy design, organizational change, strategic planning, and complex problem solving with systems thinking.

**Output**: Complete system dynamics model with causal structure, simulation results, policy recommendations, and strategic insights for complex system optimization and management.

© davila7 · MIT · davila7/claude-code-templates

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