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Claude Skills by yogsoth-ai
github.com/yogsoth-ai1,223 skills7 installs1,449 views
- Diversity MaximizationMaximize portfolio diversity and coverage using MAP-Elites, Niche coverage, Maximum dispersion, and Anti-clustering methods.Votes: 0GitHub stars: 417
- Documentation AuditAssess documentation completeness against BetterBench/Datasheets standardsVotes: 0GitHub stars: 417
- Domain DivergenceScan and select maximally diverse source domains. Ensures creative search covers genuinely unrelated fields with high transfer potential.Votes: 0GitHub stars: 417
- Domain ScanningScan distant domains for transferable principles. Uses web-search and paper-overview to identify analogous solutions in unrelated fields.Votes: 0GitHub stars: 417
- Dominance CheckIdentify dominated and non-dominated alternatives in a score matrix using Pareto dominance.Votes: 0GitHub stars: 417
- Dominant Idea EscapeIdentify dominant paradigms constraining the field and use de Bono lateral thinking provocations to escape them.Votes: 0GitHub stars: 417
- Dominant Idea IdentificationIdentify dominant paradigms and assumptions constraining thinking in a research field.Votes: 0GitHub stars: 417
- Duration EstimationThree-point PERT estimation for implementation activitiesVotes: 0GitHub stars: 417
- Dynamic TrackingStrategy for continuous rating updates using Elo, Glicko-2, TrueSkill 2, and Whole-History Rating for live ranking systems and A/B testing.Votes: 0GitHub stars: 417
- Eclipse ApplicationSOP: 应用 ECLIPSE 框架结构化混合方法研究问题Votes: 0GitHub stars: 417
- Ecosystem Pattern ExtractionExtract ecosystem-level organization patterns (symbiosis, emergence, cycles, resilience).Votes: 0GitHub stars: 417
- Ecosystem PatternExtract ecosystem-level organization patterns (symbiosis, emergence, resilience) as design templates for complex systems.Votes: 0GitHub stars: 417
- Edge Case GenerationSystematically generate boundary inputs — boundary values, adversarial constructions, distribution shifts, rare combinations, scale extremes.Votes: 0GitHub stars: 417
- Effect Size ExtractionSystematically extract effect sizes and conditions from papers for meta-analytic synthesisVotes: 0GitHub stars: 417
- Effect Size PlanningDetermine effect size types and calculation methods for meta-analytic synthesisVotes: 0GitHub stars: 417
- Efficient ExplorationStrategy for large-N sparse pairwise comparison using TrueSkill, active learning, and rank centrality to rank 100+ candidates from limited comparisons.Votes: 0GitHub stars: 417
- Egm ConstructionBuild structured Evidence Gap Maps — define axes (intervention × outcome or method × domain), place gaps in cells, annotate with evidence density and quality.Votes: 0GitHub stars: 417
- Emergence DetectionDetect and validate emergent properties from combinations. Orchestrates emergent-property-identification → blend-elaboration.Votes: 0GitHub stars: 417
- Emergent Property HuntingSeek properties that emerge from combination (non-additive)Votes: 0GitHub stars: 417
- Emergent Property IdentificationIdentify non-additive properties from combinationsVotes: 0GitHub stars: 417
- Emulation GenerationGenerate technical solutions emulating biological strategies. Bridge from design principle to concrete implementation.Votes: 0GitHub stars: 417
- Enumeration SynthesisSynthesize all systematic enumeration outputs into a structured idea report with prioritized recommendations.Votes: 0GitHub stars: 417
- Environment SpecificationSOP: define complete experiment environment specificationVotes: 0GitHub stars: 417
- Escape TechniqueIdentify dominant thinking pattern and escape it via deliberate pattern-breaking.Votes: 0GitHub stars: 417
- Evaluation FilteringMulti-dimensional evaluation and tiered filtering of generated ideas. Orchestrates novelty assessment → feasibility check → ranking → selection.Votes: 0GitHub stars: 417
- Evaluation Protocol ComparisonCompare implementation differences of same benchmark across papersVotes: 0GitHub stars: 417
- Evaporating CloudModel conflicts as Goldratt's Evaporating Cloud — expose hidden assumptions behind opposing needs to dissolve the conflict.Votes: 0GitHub stars: 417
- Evidence Based PrioritizationStrategy: 基于证据强度的 AHRQ PiCMe 评估——用文献证据质量驱动 gap 优先级Votes: 0GitHub stars: 417
- Evidence GradingAssess evidence quality using GRADE/SOE framework. Rates certainty level and identifies downgrade reasons.Votes: 0GitHub stars: 417
- Evidence MappingSystematic evidence map construction — search, classify, locate gaps, visualize. Combines concept-matrix-construction, gap-keyword-extraction, evidence-grading, and egm-construction SOPs.Votes: 0GitHub stars: 417
- Evidence Network ConstructionBuild evidence network graph for network meta-analysis — nodes, edges, geometry assessmentVotes: 0GitHub stars: 417
- Evidence ScoutSearches for external evidence supporting or opposing specific claims. Returns structured evidence with source assessment and relevance scoring.Votes: 0GitHub stars: 417
- Evidence Synthesis PlanningPlan the statistical synthesis approach — model selection, heterogeneity strategy, and reportingVotes: 0GitHub stars: 417
- Evidence SynthesisSynthesize multi-source evidence into structured argumentation. Weaves findings from literature, web, and analysis into coherent evidence maps with explicit strength ratings.Votes: 0GitHub stars: 417
- Evidence TournamentTactic: Evidence gathering, cross-examination, and quality judgment. External evidence is collected, presented, challenged, and scored for relevance and reliability.Votes: 0GitHub stars: 417
- Evolution Mechanism TransferMap evolution mechanisms to design operations. Translate selection, mutation, drift, radiation into design operators.Votes: 0GitHub stars: 417
- Evolution StrategyUse evolution mechanisms (selection, mutation, radiation) as design operators for generating and refining solution populations.Votes: 0GitHub stars: 417
- Excursion DepartureLeave the problem entirely and explore an unrelated domain. Produces excursion domain discoveries for later force-fitting.Votes: 0GitHub stars: 417
- Excursion MethodFull 8-stage Gordon-Prince excursion process. Deliberate departure from the problem into unrelated domains, then force-fit discoveries back.Votes: 0GitHub stars: 417
- Excursion OrchestrationOrchestrate the excursion sequence — departure into unrelated domain, force-fit discoveries back to problem, launch springboard ideas.Votes: 0GitHub stars: 417
- Executing SpecsExecute a Research Spec step by step, respecting context protocol, deviation limits, and backtrack rules. Supports multi-session recovery.Votes: 0GitHub stars: 417
- Execution MonitoringMonitor execution progress, detect anomalies, and report statusVotes: 0GitHub stars: 417
- Execution SynthesisSynthesize complete execution report from all results, tests, and reproducibility dataVotes: 0GitHub stars: 417
- Experiment Config GenerationSOP: generate executable experiment configuration filesVotes: 0GitHub stars: 417
- Experiment DesignTransform validated hypotheses into rigorous, executable experiment designsVotes: 0GitHub stars: 417
- Experiment RunningExecute the plan by dispatching fresh subagents per task, monitoring status, and collecting resultsVotes: 0GitHub stars: 417
- Explanation GenerationSOP: 为异常现象生成候选解释列表Votes: 0GitHub stars: 417
- Explore ResumeUnderstand the user's background comprehensively — technical stack, project experience, research experience, publications, research directions. Allows user to express interest beyond their resume. Execute once only, never re-run.Votes: 0GitHub stars: 417
- Extract DataStructured data extraction from deep-read papers — produces comparison tables (method, dataset, metrics, results, limitations). Used by systematic-survey and deep-survey.Votes: 0GitHub stars: 417
- Extreme Value GenerationGenerate boundary and extreme test values for a given parameter dimension to stress-test claims.Votes: 0GitHub stars: 417