Causal Loop MicroSim Generator

Overview

This skill generates interactive Causal Loop Diagram (CLD) MicroSims for educational purposes in systems thinking. CLDs visualize cause-and-effect relationships, feedback loops, and system dynamics using nodes (variables) and edges (causal relationships with positive or negative polarity).

When to Use This Skill

Use this skill when users request:

• Creating a causal loop diagram
• Visualizing feedback loops
• Building systems thinking diagrams
• Generating CLD visualizations
• Creating reinforcing or balancing loop diagrams
• Building system dynamics visualizations

Workflow

Step 1: Gather Requirements

Collect the following information from the user:

1. MicroSim name (kebab-case, e.g.,

   ai-flywheel

   ,

   climate-feedback

   )
2. Title for the diagram
3. Description of the system being modeled
4. Nodes (variables in the system) with their labels and descriptions
5. Edges (causal relationships) with polarity (positive/negative)
6. Loops (reinforcing R or balancing B) with descriptions

If the user provides a text description, parse it to identify:

• Key variables (become nodes)
• Causal relationships (become edges with polarity)
• Feedback loops (reinforcing or balancing)

Step 2: Generate the MicroSim Files

Create the following directory structure in

/docs/sims/{{MICROSIM_NAME}}/

:

{{MICROSIM_NAME}}/
├── index.md           # Documentation page
├── main.html          # HTML container
├── {{MICROSIM_NAME}}.js   # JavaScript code using vis-network
├── data.json          # Node and edge data
└── style.css          # Custom CSS styles

Step 3: File Generation Details

3.1 data.json

Generate the JSON data file following the CLD schema. Refer to

assets/rules.md

for the complete JSON schema and best practices.

Key structure:

{
  "metadata": {
    "id": "{{MICROSIM_NAME}}-cld",
    "title": "Title",
    "archetype": "archetype-name",
    "description": "Description",
    "version": "1.0.0"
  },
  "nodes": [...],
  "edges": [...],
  "loops": [...]
}

Node positioning guidelines:

• Canvas center is approximately (300, 300)
• Space nodes 150-200 pixels apart
• Arrange nodes in a logical flow (clockwise for reinforcing, counter-clockwise for balancing)
• For 4-node loops: use positions like (300,150), (450,300), (300,450), (150,300)

3.2 main.html

Create the HTML file using the template in

assets/templates/main.html

. The HTML should:

• Load vis-network from CDN
• Include the CSS file
• Reference the JavaScript file
• Have a container div for the network

3.3 {{MICROSIM_NAME}}.js

Generate JavaScript using vis-network library. Refer to

assets/templates/microsim.js

for the template.

Key features to implement:

• Load data from data.json
• Configure node appearance (box shape, colors, fonts)
• Configure edge appearance (arrows, polarity colors: green for +, red for -)
• Disable physics for manual positioning
• Add click handlers for showing details
• Support URL parameters for iframe embedding

3.4 style.css

Create CSS for the MicroSim layout. Use the template in

assets/templates/style.css

.

3.5 index.md

Create the documentation page with:

• Title and description
• Learning objectives
• Iframe embed of the MicroSim
• Link to full-screen version
• Explanation of the system dynamics

Step 4: Update mkdocs.yml

Add the new MicroSim to the navigation in

mkdocs.yml

:

1. Find the

   MicroSims:

   section in the nav
2. Add a new entry in alphabetical order:

   - {{Title}}: sims/{{MICROSIM_NAME}}/index.md

Important: Maintain alphabetical ordering of all MicroSim entries.

Step 5: Remind User About Screenshot

After generating all files, remind the user:

Screenshot Required: Please take a screenshot of the MicroSim and save it as

{{MICROSIM_NAME}}.png

in the

/docs/sims/{{MICROSIM_NAME}}/

directory. This image will be used for social sharing and documentation.

CLD Design Best Practices

Refer to

assets/rules.md

for detailed rules on:

• JSON schema specification
• Node positioning algorithms
• Edge polarity and curve directions
• Loop labeling conventions
• vis-network configuration options

Resources

assets/

• rules.md

  - Comprehensive CLD generation rules and JSON schema

• templates/main.html

  - HTML template

• templates/microsim.js

  - JavaScript template

• templates/style.css

  - CSS template

• templates/index.md

  - Documentation template

• templates/data.json

  - Example JSON data structure

Example Usage

User request: "Create a CLD showing how increased AI usage leads to more training data, which improves model accuracy, which increases AI usage."

Generated MicroSim:

• Name:

  ai-usage-loop

• Nodes: AI Usage, Training Data, Model Accuracy
• Edges: All positive polarity forming a reinforcing loop
• Loop: R - AI Improvement Cycle