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Causal Loop Diagram Generator

Community
dmccreary
causal-loop-diagram-generator

Creates interactive causal-loop diagram (CLD) articles for MkDocs Material sites. Use when the user wants to visualize feedback loops, systems archetypes (reinforcing/balancing loops, limits to growth, tragedy of the commons), or any topic with competing runaway and stabilizing dynamics. Produces vis-network diagrams — not static images or Mermaid.

Overview

Publisherdmccreary
Repositoryibook-skills
Skill namecausal-loop-diagram-generator
Stars
109
Forks
21
Bundled files
14
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 14 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by dmccreary on GitHub. Read the source before you install it.

Installation

Install the Causal Loop Diagram Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/dmccreary/ibook-skills/tree/main/skills/archived/causal-loop-diagram-generator
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dmccreary/ibook-skills.git /tmp/ibook-skills
mkdir -p .claude/skills
cp -r /tmp/ibook-skills/skills/archived/causal-loop-diagram-generator .claude/skills/causal-loop-diagram-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Causal Loop Diagram Generator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Causal Loop Diagram Generator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Causal Loop Diagram Generator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Causal Loop Diagram Generator

This skill produces a complete, working multi-CLD article for an MkDocs Material site. The output is a set of files that together render an article where each section discusses one feedback loop and shows it as an interactive draggable diagram, building up to a full-system view at the end.

What the user gets

When invoked on a topic (say, "make me a CLD article about supply chain bullwhip"), the skill produces:

  1. One JSON file per loop (docs/sims/cld-viewer/examples/<id>-cld.json) — usually 3–5 nodes each, one per archetype loop in the topic.
  2. One full-system JSON combining all loops around a shared central node.
  3. The article markdown (docs/articles/<slug>.md) — progressive build-up, one section per loop, with inline interactive diagrams and a fullscreen-button per diagram.
  4. The shared infrastructure (docs/articles/cld-inline.js, docs/sims/cld-viewer/) if not already present in the project.
  5. Updated mkdocs.yml nav entries.

Every diagram is a live vis-network instance the reader can drag, zoom, and click to inspect. Not a static image.

When to use this skill

Trigger on requests for any of:

  • "Make a causal loop diagram for X"
  • "Write an article about [the runaway dynamic in X]"
  • "Show the feedback loops in X"
  • "Add a CLD article to my site"
  • A topic that has one or more reinforcing loops competing with balancing ones (AI race, virality, addiction, supply chain bullwhip, market dynamics, climate, organizational dysfunction)

If the user just wants a single quick diagram — not an article — generate just one CLD JSON and embed it inline; skip the article structure.

High-level workflow

  1. Understand the system. Ask clarifying questions if the topic is ambiguous, but a single sentence is usually enough to draft a plausible loop set. List the candidate reinforcing loops (R1, R2, …) and balancing loops (B1, B2, …) before writing any JSON. Show the list to the user and confirm before generating files.

  2. Verify the project layout. Determine the project root (look for mkdocs.yml). Confirm or create:

    • docs/articles/ (article location)
    • docs/sims/cld-viewer/examples/ (CLD JSON location)
    • docs/articles/cld-inline.js (inline renderer)
    • docs/sims/cld-viewer/main.html + cld-viewer.js + the four R/B PNGs (fullscreen viewer)
  3. Port missing assets. Copy the bundled assets from this skill's assets/ directory if any are missing. See the "Bundled assets" section below for the exact file map.

  4. Generate one JSON per loop. Read references/json-schema.md and references/layout-templates.md. Use the 3-node triangle template for simple loops, 4-node diamond for richer ones, hub-and-spoke for the full system.

  5. Write the article. Follow references/article-structure.md — frontmatter, lead, anchor example, R-loops, B-loops, status table, full system, leverage point, signals, bottom line. Required <style> and <script src="../cld-inline.js"> block at the bottom.

  6. Update mkdocs.yml. Add a nav entry for the new article. If cld-viewer/index.md doesn't exist yet, add it under MicroSims.

  7. Read references/pitfalls.md before changing anything in cld-inline.js, cld-viewer.js, or the rendering setup. Nine specific footguns are documented — they each cost real debugging hours to find. The most important one: never use one iframe per inline diagram; both Chrome and Firefox silently fail to render past the 5th–6th iframe on a single page, and there is no client-side workaround.

Bundled assets

Everything you need to install into a fresh project lives in assets/:

assets/
├── cld-inline.js                  # Inline vis-network renderer for article pages.
│                                  # Copy to: docs/articles/cld-inline.js
└── cld-viewer/
    ├── main.html                  # Fullscreen viewer page (used by the iframe
    │                              # buttons in the article). Has menu mode for
    │                              # sample buttons + Save/Copy positions.
    ├── cld-viewer.js              # Fullscreen viewer's JS — loads JSON, renders
    │                              # network, handles drag/zoom/save.
    ├── reinforcing-loop-cw.png    # R/B archetype icons referenced in the
    ├── reinforcing-loop-ccw.png   # systems-thinking schema. Optional but copy
    ├── balancing-loop-cw.png      # them through if the project will use loop
    ├── balancing-loop-ccw.png     # iconography.
    └── examples/
        ├── ai-flywheel-cld.json           # 4-node diamond, single reinforcing loop.
        ├── runaway-hypothesis-cld.json    # 3-node triangle, single reinforcing loop.
        └── winner-takes-all-cld.json      # 17 nodes, 8 loops, hub-and-spoke.
                                           # Use as a model for full-system diagrams.

Reference docs

Loaded as needed, in roughly this order:

  • references/json-schema.md — the CLD JSON format. Read first when generating loops.
  • references/layout-templates.md — coordinate templates for 3-, 4-, 5-node loops and for hub-and-spoke. Read when placing nodes.
  • references/article-structure.md — section-by-section template for the article markdown, including the required <style> + <script> boilerplate. Read when writing the article.
  • references/pitfalls.md — nine documented footguns with symptoms, root causes, and solutions. Read before modifying any rendering code or attempting an iframe-based design.

Default loop count

When the user gives only a topic and asks for "a CLD article," default to:

  • 1 anchor example (the canonical loop everyone agrees on)
  • 3–4 reinforcing loops (the runaway dynamics)
  • 3–4 balancing loops (the constraints)
  • 1 full-system diagram

That's 8–10 diagrams total, matching the reference Winner-Takes-All article. If the topic has fewer real dynamics, scale down — don't pad. If the user asks for "a quick diagram" or "just one loop," produce one CLD JSON and a single inline embed; skip the article scaffolding entirely.

Naming conventions

  • CLD ids: lowercase, hyphenated, ending in -cld. Example: bullwhip-amplification-cld.
  • Article slug: short, hyphenated, descriptive. Example: supply-chain-bullwhip.md.
  • Loop labels: R1: Recursive Self-Improvement, B1: Compute Constraint. Always use R<n> for reinforcing and B<n> for balancing.

What NOT to do

  • Do not embed diagrams as iframes inline in the article. Use <div class="cld-inline"> and the inline renderer. See pitfalls.md #1.
  • Do not use mermaid, ASCII art, or static images for the loops. The whole point of this skill is interactive vis-network diagrams readers can drag.
  • Do not soften the border: 2px solid blue on iframes or .cld-inline divs. It's the project-wide MicroSim standard signaling interactive content. See pitfalls.md #8.
  • Do not modify the global iframe CSS rule in extra.css to "look nicer." Same reason.
  • Do not skip the <script src="../cld-inline.js"> tag at the bottom of the article. Without it, every <div class="cld-inline"> is an empty bordered box.

Confirming with the user

After you've drafted the loop list (step 1) but before generating files, show the user the proposed loop set with one-line descriptions. They almost always have an opinion on which loops to include and what to call them, and it's much cheaper to revise the list than to revise 8 JSON files.

After generating, tell the user the file paths, what mkdocs.yml changes you made, and remind them they can use the cld-viewer's "Save Positions" button to drag nodes into nicer positions and download an updated JSON.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Causal Loop Diagram Generator AI skill do?

Creates interactive causal-loop diagram (CLD) articles for MkDocs Material sites. Use when the user wants to visualize feedback loops, systems archetypes (reinforcing/balancing loops, limits to growth, tragedy of the commons), or any topic with competing runaway and stabilizing dynamics. Produces vis-network diagrams — not static images or Mermaid.

Why use Causal Loop Diagram Generator on TypingMind?

Because you install it once and use it with any model. Causal Loop Diagram Generator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Causal Loop Diagram Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dmccreary/ibook-skills/tree/main/skills/archived/causal-loop-diagram-generator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Causal Loop Diagram Generator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Causal Loop Diagram Generator?

As many as you like. As long as a model supports skills, you can use Causal Loop Diagram Generator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Causal Loop Diagram Generator AI skill free?

It is published on GitHub by dmccreary. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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