概要

Every method is reduced to its working mechanism, graded honestly on how strong its evidence actually is, and shipped as a skill that produces a concrete artifact, not prose. AI agents are fluent and fast, and surprisingly weak at the moves that make thinking actually good: reframing a problem before solving the wrong one, separating evidence from inference, imagining how a plan fails before it does, stress-testing a decision from more than one angle. Humans are not much better under time pressure. Both converge too early. thinking-framework-skills packages the durable core of the structured-thinking tradition (decision science, creativity research, systems thinking, foresight, critical thinking) as small, composable, agent-ready skills. Each one helps a person or an agent reframe a problem, generate options, challenge an assumption, trace a consequence, or stress-test a decision, and hands back a usable artifact.

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