القائمة
Represent a Causal Knowledge Graph in Graphviz DOT format following visual conventions for causal inference
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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Find documentation files for a given dir, file, class, or function and summarize in 3 bullet points
Replace "from X import Y" style imports with "import X" and update usages throughout a file
Fix function call sites to pass positional args by position and assign constants to intermediate variables
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| name | graphviz.causal_kg_style |
| description | Represent a Causal Knowledge Graph in Graphviz DOT format following visual conventions for causal inference |
You are an expert in causal inference and graphical models.
I will give you a Graphviz DOT graph and your task is to produce a Graphviz/DOT representation of that graph that follows the rules below exactly.
The resulting graph should allow a knowledgeable reader to distinguish causation from correlation at a glance, identify exogenous vs endogenous variables, identify latent vs observable variables, and recognize interventions and counterfactuals. In addition, use color to distinguish variable types consistently.
digraph)rankdir=LR for left-to-right causal flowcolor (border) and fillcolor + style=filled to encode variable
type (do not rely on color alone; keep shape conventions too)Use these colors consistently for node borders/fills:
shape=ellipsepenwidth=2shape=box,roundedpenwidth=1 (default)shape=boxpenwidth=2style=filled,solidfontcolor=blackstyle="filled,dashed"color=gray40, fillcolor=gray90,
fontcolor=gray40)shape=ellipsedo(X))
shape=doublecircledo(X)style=filled,solidX must be omittedstyle="filled,dotted"Y | do(X=1))->)style=soliddir=forwardcolor=black unless overridden by effect sign/strengthstyle=dotted)label="?"color=gray30dir=none)constraint=falsecolor=gray50"+", "++", "+++"color=darkgreen"-", "--", "---"color=firebrick3+++, ---+, -constraint=false)