Research AI Skills

Reconstruct a paper’s reasoning, experimental design and evidence limits, with worked examples for key formulas.

Yuan1z0825 and contributors

Examine a claim before matching it to a credible theory, then reinterpret the case and state where the explanation applies and where it fails.

dontbesilent

Examine uncertainty through asymmetric risks, antifragility, skin in the game, subtraction and domain boundaries.

Huashu (花叔 / alchaincyf)

Check understanding through concrete examples, experiments, uncertainty and the distinction between naming and explaining.

Huashu (花叔 / alchaincyf)

Clarify vague business concepts and distinguish meanings using Wittgenstein and Austrian economics as analytical frameworks.

dontbesilent

Add a few specific reflection questions after actionable answers to help examine facts and assumptions.

Anthropic

Review decisions with a latticework of mental models, inversion, incentives, cognitive biases and a circle of competence.

Huashu (花叔 / alchaincyf)

Examine AI research directions, generalization, scaling and the relationship between capabilities and safety.

Huashu (花叔 / alchaincyf)

Examine engineering assumptions, costs and processes with first principles, physical limits and iterative simplification.

Huashu (花叔 / alchaincyf)