Nature Paper X-Ray
Reconstruct a paper’s reasoning, experimental design and evidence limits, with worked examples for key formulas.
These skills help an agent surface assumptions and compare choices before a commitment. Members include decision records, thinking sessions, theory grounding, opportunity analysis, councils, and perspective prompts.
26 skillsReconstruct a paper’s reasoning, experimental design and evidence limits, with worked examples for key formulas.
Examine a claim before matching it to a credible theory, then reinterpret the case and state where the explanation applies and where it fails.
Examine uncertainty through asymmetric risks, antifragility, skin in the game, subtraction and domain boundaries.
Check understanding through concrete examples, experiments, uncertainty and the distinction between naming and explaining.
Clarify vague business concepts and distinguish meanings using Wittgenstein and Austrian economics as analytical frameworks.
Add a few specific reflection questions after actionable answers to help examine facts and assumptions.
Review decisions with a latticework of mental models, inversion, incentives, cognitive biases and a circle of competence.
Examine AI research directions, generalization, scaling and the relationship between capabilities and safety.
Examine engineering assumptions, costs and processes with first principles, physical limits and iterative simplification.
Use concept or theory skills when the question is fuzzy, scoring or opportunity skills when choices need ranking, and a decision record when the conclusion must remain findable.