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skill-world-model

Logic-rich, wave-driven world modeling for simulation canvases. Use when building, extending, or revising a simulation/world-model canvas that must be semantically incremental, causally traceable, logically self-consistent, and rich enough to cover entities, variables, evidence, hypotheses, inferences, events, risks, scenarios, decisions, actions, outputs, history, and recovery; especially for complex causal questions, market/policy/project risk simulations, scenario planning, node/edge/path generation, upstream-dependent reasoning, checkpoints, reruns, contradiction checks, or explaining why each canvas node exists.

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Source facts

Repository
zhaozhaozhiyi/XIAOCHUANGx
Last source activity
July 25, 2026 at 05:14
Detected SKILL.md language
English
Stars
221
Forks
14

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