think-causal-loop-diagrams SKILL.md skillA

think-causal-loop-diagrams from product-on-purpose/thinking-framework-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add product-on-purpose/thinking-framework-skills/think-causal-loop-diagrams@v0.1.0

Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
product-on-purpose/thinking-framework-skills
Path
skills/think-causal-loop-diagrams/SKILL.md
Versions recorded
2
Latest version
v0.1.0, committed Sep 15, 2026
First version recorded
Jun 2, 2026
Size
7,597 bytes
Repository stars
25
License
Apache-2.0

Builds a signed causal loop diagram by closing the feedback loops in a situation, labeling each loop reinforcing (R) or balancing (B) with its link polarities, and reading likely dynamics (spiral, goal-seeking, or oscillation) off which loop dominates. Use when a situation feeds back on itself - growth that funds more growth, a fix that recreates its own problem, capacity that relieves then re-attracts demand - and you need to see why it keeps accelerating, stalling, or overshooting. Not for a…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

<!-- thinking-framework-skills | https://github.com/product-on-purpose/thinking-framework-skills | Apache-2.0 -->
# Causal Loop Diagrams

People narrate systems as one-directional chains and silently drop the loop-back. "More users, so more revenue" omits "...which funds acquisition, which brings more users" - the cycle that actually drives the behavior. This skill performs one distinct move: **close the feedback loops and sign them**. Trace each cycle back to its start so it closes, give every link a polarity (does a rise in A raise (+) or lower (-) B), and label the whole loop **reinforcing (R)** when the signs multiply to net-positive (it amplifies: a vicious or virtuous spiral) or **balancing (B)** when they multiply to net-negative (it counteracts: goal-seeking, or oscillation when delayed). Then read likely behavior off the structure: which loop dominates, and therefore whether the system spirals, seeks a goal, or oscillates. The output is a **signed causal loop diagram** framed as a structured argument about dynamics - not a prediction. It corrects a specific, well-evidenced failure (people misperceive feedback); it does not claim to predict the system or to teach systems…
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add product-on-purpose/thinking-framework-skills/think-causal-loop-diagrams@sha256:b72a2116b1190a63

The line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_xmhqdyrzaba43yx7.svg)](https://markdownregistry.com/a/art_xmhqdyrzaba43yx7)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jun 2, 2026 and Sep 15, 2026, about one every 105 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-09-15 01156a8 7,597 BA view · diff
v0.1.02026-06-02 c5c4a9c 7,553 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7597 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

product-on-purpose/thinking-framework-skills · 25 stars · license Apache-2.0 · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_xmhqdyrzaba43yx7
GET https://markdownregistry.com/api/v1/resolve?ref=product-on-purpose/thinking-framework-skills/think-causal-loop-diagrams
GET https://markdownregistry.com/api/v1/blob/b72a2116b1190a6339dabe7d7faf2e6e0de519d855533df3d6c7976d689e0da4

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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