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Claude Skills by yogsoth-ai
github.com/yogsoth-ai1,223 skills7 installs1,449 views
- Benchmark AuditSystematic quality assessment using BetterBench 46-criterion framework — 5 benchmarks, 30 papers, 40 web searchesVotes: 0GitHub stars: 417
- Benchmark ChallengeIdentify and negate benchmark assumptions. Deconstruct best practices to reveal hidden constraints and open new spaces.Votes: 0GitHub stars: 417
- Benchmark SweepSystematically scan all known solutions, identify gaps in coverage and unexplored regions of the solution space.Votes: 0GitHub stars: 417
- Benchmark SynthesisProduce final structured audit reportVotes: 0GitHub stars: 417
- Best Option SelectionSelect the single best candidate from a set using WSM, TOPSIS, AHP, MAUT, or VIKOR methods.Votes: 0GitHub stars: 417
- Bias DetectionAssess systematic biases in the evidence body — publication bias, reporting bias, and selective outcome reporting. Budget: 40 studies, 40 effect sizes, 40 web searches.Votes: 0GitHub stars: 417
- Biological Function MappingMap technical functions to biological systems. Orchestrates problem-biologization → organism-discovery → functional-model-biology.Votes: 0GitHub stars: 417
- Biological Strategy ExtractionExtract strategy principles from organisms. Identify mechanism-level details of how biological systems achieve their function.Votes: 0GitHub stars: 417
- Biologize And DiscoverBiomimicry Design Spiral: Define→Biologize→Discover→Abstract→Emulate. Translate technical challenges into biological questions and find nature's solutions.Votes: 0GitHub stars: 417
- Biomimicry SynthesisSynthesize all biomimicry outputs into a structured idea report. Integrate biological strategies, design principles, and technical solutions.Votes: 0GitHub stars: 417
- BiomimicryBiomimicry Campaign — discover transferable solutions from biological systems via Design Spiral, BioTRIZ, functional analogy, ecosystem patterns, and evolution strategies.Votes: 0GitHub stars: 417
- Biotriz Principle SelectionSelect applicable BioTRIZ principles for a given contradiction. Map to biological cases.Votes: 0GitHub stars: 417
- Biotriz ResolutionBioTRIZ: biological 40 principles + bio contradiction matrix. Resolve technical contradictions using biological inventive principles.Votes: 0GitHub stars: 417
- Bisociation Network ConstructionBuild multi-domain bridging concept network. Creates a network of collision points between multiple thinking matrices.Votes: 0GitHub stars: 417
- Blend CompletionComplete blend with background knowledgeVotes: 0GitHub stars: 417
- Blend CompositionCompose new connections in blended spaceVotes: 0GitHub stars: 417
- Blend ConstructionConstruct complete 4-space blends with emergent structure. Orchestrates input-space-construction → generic-space-extraction → blend-composition.Votes: 0GitHub stars: 417
- Blend ElaborationRun blend as mental simulationVotes: 0GitHub stars: 417
- Boundary AnalysisBoundary Analysis Campaign — probe where methods fail, map validity envelopes, test robustness, catalog failure modes, detect scaling limits. 5 strategies, 3 tactics, 11 subagent SOPs.Votes: 0GitHub stars: 417
- Boundary Condition SpecificationSOP: 指定假设成立的边界条件Votes: 0GitHub stars: 417
- Boundary CritiqueApply CSH boundary critique — what is included/excluded, who benefits/is harmed, what expertise is privileged/marginalized. Identifies opportunities at the boundaries.Votes: 0GitHub stars: 417
- Boundary EnumerationSystematic Boundary Value Analysis: identify parameter boundaries, test at and beyond limits, detect breakpoints.Votes: 0GitHub stars: 417
- Boundary ProbingMap parameter space, generate extreme values, test at boundaries, detect breakpoints, synthesize validity envelope.Votes: 0GitHub stars: 417
- Boundary SynthesisCompile all boundary analysis products into a coherent report — validity envelopes, robustness results, failure catalogs, scaling maps, safe operating conditions.Votes: 0GitHub stars: 417
- Boundary UnfoldingSystematically expose hidden system boundaries — CSH 12-question is/ought comparison, identify excluded stakeholders, reveal blind spots. Combines csh-12-question, jtbd-mapping, and salience-classification SOPs.Votes: 0GitHub stars: 417
- Breakpoint DetectionTest a claim at extreme parameter values and detect the precise point where it breaks down.Votes: 0GitHub stars: 417
- Bridge ValidationValidate analogy depth and transfer viability. Ensures only deep structural analogies (not surface-level similarities) proceed to transfer.Votes: 0GitHub stars: 417
- Budget Constrained DesignOptimize experiment design under compute and time budget constraintsVotes: 0GitHub stars: 417
- Buffer SizingCalculate project, feeding, and resource buffers — shared with implementation-planningVotes: 0GitHub stars: 417
- Campaign SelectionStructured questioning SOP to determine which campaigns to include, emphasize, or skip. Used during spec generation.Votes: 0GitHub stars: 417
- Capability Taxonomy MappingBuild capability taxonomy, map existing benchmark coverageVotes: 0GitHub stars: 417
- Categorize PapersCluster papers by theme, method, or timeline. Produces natural groupings from a paper collection. Used by scoping-survey and narrative-review.Votes: 0GitHub stars: 417
- Category SortingClassify candidates into predefined categories using ELECTRE-Tri, FlowSort, AHPSort, or DRSA methods.Votes: 0GitHub stars: 417
- Catwoe AnalysisApply Checkland's CATWOE analysis from a specific stakeholder perspective to reveal how the problem looks from that viewpoint.Votes: 0GitHub stars: 417
- Causal Chain TracingTrace UDE to root cause via IF...THEN...BECAUSE logic chainsVotes: 0GitHub stars: 417
- Causal Claim ExtractionExtract all causal claims (X causes Y, X leads to Y, X enables Y) from an artifact, producing a structured list of cause-effect pairs.Votes: 0GitHub stars: 417
- Causal Necessity TestingTactic: Extract causal claims, evaluate probability of necessity (PN) and sufficiency (PS) for each, classify into necessity-sufficiency quadrants.Votes: 0GitHub stars: 417
- Causal Tree BuildingBuild logical causal trees from symptoms to root causes — list UDEs, connect causal chains, validate logic, locate root causes. Combines ishikawa-decomposition, current-reality-tree, and clr-validation SOPs.Votes: 0GitHub stars: 417
- Challenge OperationNon-threatening 'Why?' questioning of current practices (de Bono Challenge)Votes: 0GitHub stars: 417
- Challenge QuestioningNon-threatening 'Why?' questioning of current practices to reveal historical accidents vs. genuine constraints.Votes: 0GitHub stars: 417
- Checkpoint And RecoverCheckpoint state before risky operations, detect anomalies, and recover gracefullyVotes: 0GitHub stars: 417
- Citation ChainingForward and backward citation tracing tactic — expand paper coverage by tracing citation networks in both directions from seed/key papers. Alternates forward (who cited this) and backward (what this cited) passes until saturation.Votes: 0GitHub stars: 417
- Citation Network AnalysisBuild and analyze patent citation networks — main path analysis, PageRank, cluster detectionVotes: 0GitHub stars: 417
- Claim AnalysisDeep claim scope analysis — decompose independent/dependent claims and assess protection scope breadth. Budget: 30 patent families, 30 claim parses, 20 web searches.Votes: 0GitHub stars: 417
- Claim NegationFormally negate the core claim, producing the logical complement for reductio testing.Votes: 0GitHub stars: 417
- Claim ParsingPatent claim syntax parsing — independent/dependent relationships and element extractionVotes: 0GitHub stars: 417
- Claim RefinementPropose a refined claim that survives counterexamples while preserving maximum explanatory power (Lakatos lemma-incorporation).Votes: 0GitHub stars: 417
- Clarify ResourcesUnderstand what resources the user has available for research — compute, timeline, collaboration, data access, experimental environment. Every item accepts 'TBD' as a valid answer.Votes: 0GitHub stars: 417
- Classification NavigationIPC/CPC hierarchy drill-down and lateral expansion for patent discoveryVotes: 0GitHub stars: 417
- Closest WorldsStrategy: Lewis Possible Worlds — find the minimal change to reality that would flip the conclusion, measuring how close the nearest world where the conclusion fails.Votes: 0GitHub stars: 417