Runs a research project end to end from a stated direction, turning it into an executable plan that proceeds phase by phase with explicit completion checks. Also offers its individual skills, such as evidence synthesis and argument adjudication, as standalone tools.
@yogsoth-aiRemove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
@yogsoth-aiEvaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
@yogsoth-aiMove a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context,…
@yogsoth-aiRun structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target,…
@yogsoth-aiAggregate criterion or comparison results into an ordered recommendation under an explicit rule.
@yogsoth-aiAbstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.
@yogsoth-aiCharacterize what blocks a research target: readiness dimensions, obstacles, bottlenecks, resource gaps, causal constraints,…
@yogsoth-aiInterpret completed experimental outputs after host/runtime execution using pre-declared statistical tests, effect/uncertainty…
@yogsoth-aiConstruct and compare plausible future/competitive/temporal/stress scenarios and test whether the research path remains robust…
@yogsoth-aiIdentify clinical, methodological, and statistical heterogeneity sources and prioritize subgroup/meta-regression/outlier…
@yogsoth-aiApply an intervention/do-style graph modification and propagate predicted directional effects while recording assumptions.
@yogsoth-aiAnalyze leaderboard score distributions, compression/saturation, anomalies, selective reporting, and regime shifts.
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