yogsoth-ai
- 998 skills
- 0 followers
- 15 hours ago last updated
- ▌ Causal Tree Building · yogsoth-aiBuild 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.
- ▌ Current Reality Tree · yogsoth-ai bundleBuild TOC Current Reality Trees — connect Undesirable Effects via sufficient-cause logic to identify 1-3 root causes.
- ▌ Decision Sensitivity · yogsoth-aiIdentify which uncertainties would actually change the research direction decision. Compute EVPI to prioritize uncertainty reduction.
- ▌ Dominant Idea Escape · yogsoth-aiIdentify dominant paradigms constraining the field and use de Bono lateral thinking provocations to escape them.
- ▌ Edge Case Generation · yogsoth-ai bundleSystematically generate boundary inputs — boundary values, adversarial constructions, distribution shifts, rare combinations, scale extremes.
- ▌ Monte Carlo Sampling · yogsoth-ai bundleDesign and execute Monte Carlo sampling strategy for uncertainty propagation through a model.
- ▌ Abstraction Laddering · yogsoth-ai bundleMove between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
- ▌ Consequence Following · yogsoth-ai bundleFollow a provocation's logical consequences step by step to extract viable insights and new research directions.
- ▌ Dialectical Synthesis · yogsoth-aiHegelian thesis-antithesis-synthesis cycle — propose position, generate opposition, structured debate, synthesize transcending insight. Combines evaporating-cloud and polarity-mapping SOPs.
- ▌ Failure Mode Analysis · yogsoth-aiSystematically catalog failure modes — generate edge cases, observe failures, cluster by mechanism, identify triggers and frequency.
- ▌ Interaction Detection · yogsoth-ai bundleDetect and characterize significant parameter interactions from Sobol decomposition results.
- ▌ Sensitivity Synthesis · yogsoth-ai bundleSynthesize all sensitivity analysis results into a coherent report with prioritized recommendations.
- ▌ Wickedness Assessment · yogsoth-aiApply Rittel's 10 criteria to determine if the problem is tame, complex, or wicked, and adjust research strategy accordingly.
- ▌ Appreciative Discovery · yogsoth-ai bundleSearch for positive deviants and extract transferable principles using Appreciative Inquiry.
- ▌ Appreciative Reframing · yogsoth-aiFind positive deviants and reframe the problem from deficit-based to asset-based using Appreciative Inquiry.
- ▌ Assumption Criticality · yogsoth-aiMeasure how much conclusions change when each assumption is negated. Ranks assumptions by their impact on the final result.
- ▌ Assumption Stress Test · yogsoth-aiSystematic stress testing of assumptions — surface, classify by vulnerability, attack, assess fragility. Combines assumption-surfacing (shared), abp-vulnerability-classification, and clr-validation SOPs.
- ▌ Convergence Assessment · yogsoth-ai bundleCompare results across multiple model variants — quantitative agreement metrics and qualitative conclusion stability.
- ▌ Gap Keyword Extraction · yogsoth-ai bundleExtract gap-indicating sentences and phrases from papers/reviews. Identifies linguistic markers of research gaps (e.g., "remains unclear", "has not been explored", "limited understanding").
- ▌ Gap Synthesis Strategy · yogsoth-aiCompile all gap analysis products into a coherent final report with evidence gap maps, research agenda, and concept matrices.
- ▌ Ishikawa Decomposition · yogsoth-ai bundleDecompose problems into 6M categories (Methodology, Data, Theory, Measurement, Researchers, Environment) via fishbone diagram analysis.
- ▌ Prioritization Scoring · yogsoth-aiMulti-dimensional gap scoring and ranking — define criteria, score, weight, rank, sensitivity-check. Combines multi-criteria-scoring, stakeholder-confirmation, and feasibility assessment.
- ▌ Question Reformulation · yogsoth-aiReframe research questions using abstraction laddering, HMW formulation, and Socratic probing. Find the most productive level and framing for investigation.
- ▌ Variance Decomposition · yogsoth-aiSobol variance decomposition — compute first-order and total-order sensitivity indices to quantify each parameter's contribution to output variance.
- ▌ Controlled Perturbation · yogsoth-ai bundleSystematically vary parameters along defined axes, recording performance at each point to identify degradation thresholds.
- ▌ Distribution Assignment · yogsoth-ai bundleAssign probability distributions to uncertain parameters based on available evidence and domain knowledge.
- ▌ Multi Model Convergence · yogsoth-aiWimsatt-style multi-method cross-validation — enumerate assumptions, generate alternative models, compare results, flag divergences.
- ▌ Reformulation Synthesis · yogsoth-ai bundleCompile all problem reformulation analyses into a coherent report with a recommended new problem definition.
- ▌ Salience Classification · yogsoth-ai bundleClassify stakeholders by Mitchell et al. framework (Power, Legitimacy, Urgency). Assigns salience category and identifies systematically excluded parties.
- ▌ Systematic Perturbation · yogsoth-aiMulti-axis systematic perturbation — define variation axes, perturb along each, measure degradation, construct validity envelope.
- ▌ Uncertainty Propagation · yogsoth-aiPropagate input uncertainties through the model via Monte Carlo sampling. Identifies which input uncertainties contribute most to output uncertainty.
- ▌ Scaling Regime Detection · yogsoth-ai bundleDetect regime changes in scaling behavior — breakpoints where behavior qualitatively shifts, mechanisms behind transitions.
- ▌ Stakeholder Confirmation · yogsoth-ai bundleSimulate stakeholder perspectives to validate gap priorities. Assesses gap value from researcher, practitioner, funder, and end-user viewpoints.
- ▌ Deep Insight Paper Search · yogsoth-aiAI-powered paper summary and search. Import of literature-engine/literature-search skill. AI summary level — cite as "AI-extracted" not "paper states".
- ▌ Deep Insight Web Research · yogsoth-aiDeep web research with full page fetching via Apify. Import of web-browsing/web-research skill. Must fetch full page — no conclusions from previews.
- ▌ Dialectical Reformulation · yogsoth-aiSurface Argyris governing variables and test whether the problem dissolves under alternative governing variables (double-loop learning).
- ▌ Variation Axis Definition · yogsoth-ai bundleIdentify orthogonal axes along which a method's validity might vary. Ensures axes are independent, measurable, and span the relevant parameter space.
- ▌ Ahrq Reason Classification · yogsoth-ai bundleClassify gap root causes using AHRQ 4-reason framework (insufficient info, biased info, inconsistent info, not yet integrated).
- ▌ Multi Worldview Comparison · yogsoth-aiMulti-worldview comparison — CATWOE from multiple perspectives, reframing matrix across professional lenses, identify overlooked framings. Reveals what single-perspective analysis misses.
- ▌ Concept Matrix Construction · yogsoth-ai bundleBuild articles × concepts coverage matrix to visualize research landscape and identify empty cells as gap candidates.
- ▌ Cross Database Verification · yogsoth-ai bundleVerify gap existence across multiple databases (Semantic Scholar, Google Scholar, arXiv, domain-specific). Distinguishes database-specific gaps from universal gaps.
- ▌ Deep Insight Paper Overview · yogsoth-aiPaper metadata and abstract-level overview. Import of literature-engine/literature-overview skill. Abstracts only — no substantive claims without deeper reading.
- ▌ Deep Insight Paper Research · yogsoth-aiFull-text paper reading via three-pass Keshav method. Import of literature-engine/literature-research skill. Authoritative source for claims about paper content.
- ▌ Gap Typology Classification · yogsoth-ai bundleClassify gaps using Miles 7-type taxonomy (theoretical, methodological, empirical, population, practical, knowledge void, evidence gap).
- ▌ Multi Perspective Reframing · yogsoth-aiApply CATWOE from multiple stakeholder viewpoints and reframing matrix to reveal aspects invisible from the dominant perspective.
- ▌ Alternative Model Generation · yogsoth-ai bundleGenerate alternative model formulations by relaxing, replacing, or generalizing specific assumptions.
- ▌ Critical Path Identification · yogsoth-ai bundleIdentify which input uncertainties contribute most to output uncertainty and compute EVPI for research prioritization.
- ▌ Dominant Idea Identification · yogsoth-ai bundleIdentify dominant paradigms and assumptions constraining thinking in a research field.
- ▌ Governing Variable Surfacing · yogsoth-ai bundleApply Argyris framework to identify governing variables — the unstated rules driving behavior in a research field.
- ▌ Screening Then Decomposition · yogsoth-aiTwo-phase sensitivity — Morris quick screening to eliminate unimportant factors, then Sobol precise decomposition on survivors. Efficient allocation of analytical effort.
- ▌ Temporal Sensitivity Testing · yogsoth-ai bundleTest whether a gap persists across different time windows (2/5/10 years). Determines if gap is narrowing, widening, or stable over time.
- ▌ Counter Assumption Generation · yogsoth-ai bundleGenerate dialectical opposites for governing variables — coherent alternative worldviews where the opposite is true.
- ▌ Deep Insight Gap Identification · yogsoth-aiIdentify research gaps via PICOS frameworks, concept matrices, evidence gap maps, keyword extraction, citation analysis, and topic modeling. Systematic discovery of what is missing in the literature.
- ▌ Deep Insight Gap Prioritization · yogsoth-aiScore and rank validated gaps on importance, feasibility, novelty, and urgency. Multi-criteria decision analysis with stakeholder confirmation.
- ▌ Abp Vulnerability Classification · yogsoth-ai bundleClassify assumptions on 2 axes — load-bearing (how much conclusion depends on it) × vulnerable (how likely to be false). Focuses attention on High-Load × High-Vulnerable quadrant.
- ▌ Deep Insight Assumption Surfacing · yogsoth-ai bundleSystematically extract implicit assumptions from methods, frameworks, or arguments. Identifies what is taken for granted without explicit justification.
- ▌ Conclusion Sensitivity Measurement · yogsoth-ai bundleQuantify how much conclusions change across all assumption negations and produce a sensitivity ranking.
- ▌ Deep Insight Assumption Extraction · yogsoth-ai bundleSystematically extract all assumptions (stated, implicit, boundary, mathematical, practical) from a method or model.
- ▌ Deep Insight Assumption Enumeration · yogsoth-ai bundleSystematically identify all assumptions in a method/model — structural, parametric, distributional, and scope assumptions.
- ▌ Deep Insight Dialectical Escalation · yogsoth-aiDouble-loop learning escalation — surface governing variables, generate counter-assumptions, test if problem dissolves under alternatives, score wickedness if it persists.
- ▌ Deep Insight Multi Criteria Scoring · yogsoth-ai bundleScore gaps on multiple dimensions (importance, feasibility, novelty, urgency, impact) using weighted multi-criteria decision analysis.
- ▌ Deep Insight Provocation Generation · yogsoth-ai bundleGenerate de Bono lateral thinking provocations to challenge dominant ideas using escape, reversal, exaggeration, and distortion.
- ▌ Deep Insight Assumption Perturbation · yogsoth-aiOne-at-a-time assumption perturbation — extract assumptions, define negations, re-derive conclusions under each negation, measure sensitivity. Identifies which assumptions are load-bearing.
- ▌ Deep Insight Failure Mode Cataloging · yogsoth-aiSystematic failure mode cataloging — generate boundary inputs, observe failures, cluster by mechanism, identify triggers, estimate frequency.
- ▌ Deep Insight Validity Envelope Mapping · yogsoth-aiMap multi-dimensional validity envelopes — define variation axes, perturb systematically, measure degradation, construct boundary surface.
- ▌ Deep Insight Multi Stakeholder Simulation · yogsoth-ai bundleSimulate multiple stakeholder perspectives evaluating a research gap, method, or proposal. Identifies blind spots from single-perspective analysis.
- ▌ Deep Insight Validity Envelope Construction · yogsoth-ai bundleCombine multi-axis perturbation data into a multi-dimensional validity description with boundary conditions and interaction effects.
- ▌ Paper Search · yogsoth-aiMid-depth paper analysis via AI-generated summaries. Import of literature-engine/literature-search skill. Reads AI summary — sufficient for methodology understanding but not for quoting specific results.
- ▌ Paper Research · yogsoth-aiDeep paper analysis with full text reading. Import of literature-engine/literature-research skill. Full text access — required for quoting results, verifying claims, extracting detailed methodology.
- ▌ Novelty Scoring · yogsoth-ai bundleScore ideas on novelty dimensions — structural distance from known solutions, conceptual surprise, domain-crossing depth. Produces ranked novelty assessment.
- ▌ Benchmark Inventory · yogsoth-ai bundleCatalog all known solutions/methods in a domain with performance, applicability, and limitations.
- ▌ Combination Mapping · yogsoth-aiSystematically enumerate parameter dimensions and generate viable combinations. Orchestrates parameter extraction → value enumeration → compatibility assessment → synthesis.
- ▌ Factor Level Design · yogsoth-ai bundleIdentify factors and their levels for a problem, then design an experiment matrix for systematic exploration.
- ▌ Assumption Surfacing · yogsoth-ai bundleEnumerate implicit assumptions in a problem statement or existing solution. Produces categorized assumption inventory (physical, social, temporal, economic, technical).
- ▌ Consistency Checking · yogsoth-aiPairwise consistency evaluation to reduce solution space by identifying and removing inconsistent combinations.
- ▌ Perspective Rotation · yogsoth-aiRotate through reviewer/practitioner/theorist/time-machine/novice perspectives systematically. Ensures comprehensive viewpoint coverage.
- ▌ Saturation Detection · yogsoth-ai bundleDetermine when additional ideation yields diminishing returns. Analyzes latest idea batch against existing corpus to judge continue/near-saturation/saturated.
- ▌ Assumption Enumeration · yogsoth-aiSurface, perturb, and prioritize assumptions by disruption potential. Orchestrates assumption surfacing → perturbation → sacred cow identification → prioritization.
- ▌ Assumption Perturbation · yogsoth-ai bundlePerturb each assumption, observe system response. Systematic stress-testing of assumptions to reveal fragility and opportunity.
- ▌ Failure Mode Cataloging · yogsoth-ai bundleSystematically catalog all failure modes in a domain or method, producing a classified failure taxonomy.
- ▌ Consistency Pair Evaluation · yogsoth-ai bundleEvaluate pairwise value consistency (logical/empirical/normative)
- ▌
- ▌ Conclusion Sensitivity · yogsoth-ai bundleMap which assumptions are load-bearing by assessing how the conclusion changes if each assumption fails.
- ▌ Confidence Calibration · yogsoth-ai bundleCalibrates confidence scores based on debate progression. Determines whether to escalate, continue, or terminate based on cumulative evidence.
- ▌ Consistency Audit Loop · yogsoth-aiDetect preference cycles, localize inconsistent judgments, request corrections, and recompute ratings until consistency threshold is met.
- ▌ Constraint Elicitation · yogsoth-aiStructured questioning SOP to identify practical constraints that shape the research spec. Used during spec generation.
- ▌ Constructive Rebellion · yogsoth-ai bundleBuild constructive alternatives from destructive negation. Transform violated assumptions into viable innovation directions.
- ▌ Contradiction Flagging · yogsoth-aiSOP for flagging contradictions in the causal model — identify conflicting evidence or mechanism claims.
- ▌ Convergence Web Search · yogsoth-aiQuick web scan to discover relevant pages — methodology references, case studies, best practices for convergence methods.
- ▌ Counterfactual Probing · yogsoth-aiCampaign: Counterfactual reasoning to identify load-bearing factors. Core question: If key factors were different, would the conclusion still hold? Methods: Pearl SCM Three-Step, Lewis Possible Worlds, Tetlock & Belkin, PNS/PS.
- ▌ Coverage Gap Detection · yogsoth-ai bundleDetect uncovered regions in the solution space, producing a prioritized gap list.
- ▌ Criteria Interrogation · yogsoth-aiChallenge the evaluation criteria themselves using Assumption-based Planning, Critical Systems Heuristics, and Boundary Critique to ensure the framework is sound.
- ▌ Critical Path Planning · yogsoth-ai bundleIdentify the shortest execution path via CPM forward/backward pass, resource leveling, and buffer insertion
- ▌ Cross Domain Discovery · yogsoth-aiCross-Domain Discovery Campaign — find transferable mechanisms from unrelated fields via bisociation, analogical transfer, random stimulus, and forced bridging
- ▌ Cross Domain Synthesis · yogsoth-ai bundleSynthesize all cross-domain findings into a structured idea report. Integrates outputs from all strategies and SOPs.
- ▌ Crystallize North Star · yogsoth-aiFuse the GoalTree root node and user motivation into a single crystallized North Star statement. Format: '[verb] [specific goal], through [method/path], solving [what problem], ultimately [what impact]'. Quality checks: specific? ambitious? achievable?
- ▌ Define Search Protocol · yogsoth-ai bundleFormalize search queries and inclusion/exclusion criteria for systematic surveys. Produces a reproducible search protocol document. Used by systematic-survey.
- ▌ Diversity Maximization · yogsoth-aiMaximize portfolio diversity and coverage using MAP-Elites, Niche coverage, Maximum dispersion, and Anti-clustering methods.
- ▌ Effect Size Extraction · yogsoth-aiSystematically extract effect sizes and conditions from papers for meta-analytic synthesis
- ▌ Explanation Generation · yogsoth-ai bundleSOP: generate a list of candidate explanations for an anomalous phenomenon