yogsoth-ai
72 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.
yogsoth-aidefine-analysis-dimensions
Identify approximately independent dimensions/axes that span the relevant problem, design, or validity space and define their semantics.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aidefine-evidence-protocol
Define research questions, evidence scope, queries/concepts, inclusion/exclusion rules, provenance requirements, and stopping evidence for an acquisition task.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aidefine-objective
Formalize objectives, constraints, and tradeoff preferences for optimization.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aidesign-discriminating-prediction
Construct a prediction that yields different outcomes under competing hypotheses.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aidesign-falsification-test
Specify a concrete observation, computation, intervention, counterexample, or measurement that would count against the sharpened claim, prioritizing cheap high-information tests.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aidestructive-ideation
Break fixation by surfacing assumptions and applying deliberate provocation modes (reversal, negation, random entry, exaggeration, extreme/zero-resource constraint, distortion), then extract constructive movement and synthesize candidate directions.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aidetect-breakpoint
Locate the point or region where performance/validity changes regime or the claim flips.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aidetect-feedback-loop
Detect and characterize reinforcing/balancing feedback loops, participating variables, delays, and possible breakpoints.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aidiscover-biological-analog
Identify biological systems that achieve the target function under comparable constraints, without assuming surface similarity.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aidocument-counterclaim
Construct a counterclaim, identify its target claim, contradiction type, assumptions, and supporting evidence requirements.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aidowngrade-equivalence-claim
When full equivalence fails, downgrade to the strongest defensible relation (e.g. substructure, homomorphism, shared invariant, analogy) and record exactly what ceased to be preserved.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aienumerate-combinations
Construct combinations across dimensions/values without prematurely judging them.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aienumerate-validator-assumptions
Enumerate assumptions embedded in a validator/test/sandbox, including data-generation, measurement, simulator, oracle, metric, initialization, and acceptance assumptions.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aiestimate-effective-evidence-count
Estimate an effective number of independent evidence/reasoning paths after discounting dependence/correlation; report nominal N, dependence structure, and Neff.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aievaluate-necessity-sufficiency
Test whether a proposed cause/mechanism is necessary and/or sufficient under controlled counterfactual or intervention comparisons.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aiexplore-dimensional-space
Represent a problem/research space as validated dimensions and values, enumerate compatible combinations, and optionally map occupancy, detect gaps, prioritize regions, or synthesize candidate questions/ideas.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aiextract-constructive-movement
Convert an initially absurd/destructive provocation into concrete useful directions.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aiextract-core-conflict
Represent a core constraint conflict in an Evaporating-Cloud-like structure with explicit assumptions on every dependency.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aiextract-empirical-regularity
Extract a repeatable empirical pattern from observations, state its support and exceptions, and generalize cautiously without importing an unsupported mechanism.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aiformulate-hypotheses
Generate testable hypotheses from theory, empirical regularity, anomaly, or explicit explanatory competition. Deductive, inductive, abductive, and competing-hypothesis generation are modes; discriminating predictions and comparison are activated in competing mode.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aiformulate-research-question
Convert a hypothesis into a precise research question with fit-for-purpose framework, scope, feasibility, and success criteria.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aigenerate-competing-hypotheses
Generate mechanism-distinct explanations rather than superficial paraphrases.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-aigenerate-counterexample
Generate a concrete counterexample candidate that satisfies the target claim's stated scope while violating its conclusion or claimed structural property; record whether exclusion would be principled or ad hoc.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日
yogsoth-ailist-undesirable-effects
List observable undesirable effects with evidence and severity as starting points for constraint/root-cause analysis.
- 導入数
- 1
- GitHub Stars
- 505
- 更新日
- 9月29日