yogsoth-ai
- 998 skills
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- 19 hours ago last updated
- ▌ Pareto Frontier Construction · yogsoth-aiBuild the Pareto frontier from multi-objective optimization, visualize trade-offs, and select a portfolio from non-dominated solutions.
- ▌ Priority Sensitivity Testing · yogsoth-ai bundleTactic: perturb scoring weights to test the robustness of the gap ranking against weight choice
- ▌ Reproducibility Verification · yogsoth-ai bundleVerify result reproducibility via re-runs with different seeds and ICC comparison
- ▌ Resource Envelope Estimation · yogsoth-aiEstimate resources, budget, and timeline using parametric, analogous, and three-point (PERT) estimation methods.
- ▌ Robustness Under Uncertainty · yogsoth-aiSelect portfolios that perform well across multiple future scenarios using Minimax regret, Robust optimization, Scenario planning, and Info-gap methods.
- ▌ Stakeholder Weighted Ranking · yogsoth-ai bundleStrategy: Weight by stakeholder perspective — the same gap carries different weight under different perspectives; take the consensus ranking at the end
- ▌ Statistical Method Selection · yogsoth-aiSelect appropriate statistical methods for experiment analysis
- ▌ Formated Specs · yogsoth-aiSpec-slot skill for the research-executor. Emit the 4-layer DARE orchestration of the assigned topic as one research-graph JSON fenced block in your reply. Replaces the generic spec-writing step.
- ▌ Constraint Identification Sop · yogsoth-ai bundleIdentify constraints for a candidate using TOC, TRIZ, and Pre-mortem methods.
- ▌ Construct Validity Assessment · yogsoth-ai bundleEvaluate whether benchmark measures its claimed capability
- ▌ Critical Chain Identification · yogsoth-ai bundleIdentify the critical chain — longest path considering resource contention
- ▌ Dependency Graph Construction · yogsoth-ai bundleBuild task dependency graph with predecessor/successor relationships
- ▌ Evidence Based Prioritization · yogsoth-ai bundleStrategy: evidence-strength-based AHRQ PiCMe assessment — drive gap prioritization with the quality of literature evidence
- ▌ Evidence Network Construction · yogsoth-ai bundleBuild evidence network graph for network meta-analysis — nodes, edges, geometry assessment
- ▌ Heterogeneity Source Analysis · yogsoth-ai bundleIdentify and classify sources of between-study heterogeneity (clinical, methodological, statistical)
- ▌ Hypothesis Operationalization · yogsoth-ai bundleStrategy: refine a working hypothesis into a precise, testable form
- ▌ Independent Convergence Audit · yogsoth-aiStrategy: Attack the evidential weight of an 'independent convergence' claim. When N reasoning paths all reach the same conclusion, the confidence boost is real only if the paths were actually independent. Measures shared-prior / shared-blindspot contamination and corrects the over-counted confidence. Methods: Bayesian agreement-as-evidence, correlated-error analysis, jury theorem assumptions.
- ▌ Intermediate Objective Design · yogsoth-ai bundleDesign intermediate objectives to overcome each identified obstacle
- ▌ Leaderboard Dynamics Analysis · yogsoth-ai bundleAnalyze leaderboard score distributions, compression, selective reporting
- ▌ Triz Contradiction Resolution · yogsoth-aiResolve technical and physical contradictions via TRIZ 40 inventive principles and separation methods.
- ▌ Biological Strategy Extraction · yogsoth-ai bundleExtract strategy principles from organisms. Identify mechanism-level details of how biological systems achieve their function.
- ▌ Creative Ideation 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.
- ▌ Creative Ideation Web Research · yogsoth-aiDeep web page analysis with full content extraction. Import of web-browsing/web-research skill. Must fetch full page via apify — no shortcuts.
- ▌ Evaluation Protocol Comparison · yogsoth-aiCompare implementation differences of same benchmark across papers
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- ▌ Scenario Driver Identification · yogsoth-ai bundleIdentify key uncertainty drivers using PESTEL framework scanning
- ▌ Formated Results · yogsoth-aiClosing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced block in your reply. Do not execute the research.
- ▌ Abductive Hypothesis Generation · yogsoth-ai bundleStrategy: Inference to the best explanation in the face of anomalies
- ▌ Adversarial Debate Truthseeking · yogsoth-aiStrategy: Dialectic engine retuned for truth-seeking, not survival. A defender steelmans a claim into its MOST falsifiable form, a critic attacks to refute it, a judge classifies the exchange into BROKEN/CORROBORATED/UNFALSIFIABLE — the judge does NOT pick a winner or score persuasiveness. Methods: Irving debate (repurposed), Toulmin argumentation, Mayo severe testing.
- ▌ Comparative Feasibility Ranking · yogsoth-aiCompare feasibility across multiple candidates using multi-dimensional radar and weighted feasibility index.
- ▌ Competing Hypothesis Generation · yogsoth-ai bundleSOP: Generate mechanistically distinct competing hypotheses for the same phenomenon
- ▌ Deductive Hypothesis Generation · yogsoth-ai bundleStrategy: deduce hypotheses from existing theory
- ▌ Experiment Execution Web Search · yogsoth-aiImport SOP: quick web scan discovery (from web-browsing skill)
- ▌ Falsification First Stress Test · yogsoth-aiCampaign: Truth-seeking adversarial validation for scientific research artifacts (NOT publication defense). Core question: Where have we fooled ourselves, and is each load-bearing claim even falsifiable? Win-condition is INVERTED from survival/resilience to active refutation. Methods: Popper falsificationism, Lakatos Proofs and Refutations, Mayo severe testing, Platt strong inference.
- ▌ Hypothesis Formation Web Search · yogsoth-aiImport SOP: quick web scan, discover URLs and snippets (from web-browsing)
- ▌ Inductive Hypothesis Generation · yogsoth-ai bundleStrategy: induce and distill hypotheses from data/observations
- ▌ Reproducibility Checklist Audit · yogsoth-ai bundleAssess paper completeness against ML Reproducibility Checklist
- ▌ Scenario Narrative Construction · yogsoth-ai bundleBuild rich narratives for surviving morphological configurations using Shell method
- ▌ Optimization Loop · yogsoth-ai bundleThe optimizer brain for the ladder-foundry pretraining loop. Runs the two-level nested batch loop, delegates gating to gate_eval, attributes a failing batch to one weight (attribute-first), and recovers from disk after compaction. Control flow is fully scripted; only the backprop attribution is a judgment call.
- ▌ Bisociation Network Construction · yogsoth-ai bundleBuild multi-domain bridging concept network. Creates a network of collision points between multiple thinking matrices.
- ▌ Boundary Condition Specification · yogsoth-ai bundleSOP: Specify the boundary conditions under which a hypothesis holds
- ▌ Convergence Assumption Challenge · yogsoth-ai bundleConstruct the strongest counter-argument against a specific assumption and propose alternatives.
- ▌ Convergence Saturation Detection · yogsoth-ai bundleDetermines when to stop iterating — coverage threshold met or marginal returns diminishing. Shared across all campaigns.
- ▌ Convergence Sensitivity Analysis · yogsoth-ai bundleTests conclusion robustness by perturbing parameters and observing rank changes. Shared across scoring, portfolio, and steel-manning campaigns.
- ▌ Creative Ideation Paper Overview · yogsoth-aiAbstract-level paper scanning for broad coverage. Import of literature-engine/literature-overview skill. Abstract-level only — no methodology conclusions from abstracts.
- ▌ Creative Ideation 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.
- ▌ Discriminating Prediction Design · yogsoth-ai bundleSOP: design key predictions and observation plans that can distinguish competing hypotheses
- ▌ Emergent Property Identification · yogsoth-ai bundleIdentify non-additive properties from combinations
- ▌ Multi Dimensional Readiness Scan · yogsoth-aiAssess readiness across multiple dimensions, synthesize into radar visualization, and identify bottleneck dimensions.
- ▌ Stakeholder Objection Simulation · yogsoth-aiSimulate stakeholder objections through role-play and political feasibility analysis to test whether the decision survives real-world opposition.
- ▌ Stress Test Assumption Challenge · yogsoth-aiStrategy: Military-grade assumption testing — Key Assumptions Check, Devil's Advocacy, Team A/B analysis to expose hidden dependencies and unexamined beliefs.
- ▌ Stress Test Perspective Rotation · yogsoth-aiTactic: Sequential perspective evaluation with divergence aggregation. Each agent evaluates from a distinct viewpoint, then disagreements are surfaced and resolved.
- ▌ Stress Test Saturation Detection · yogsoth-ai bundleDetermines whether validation has reached saturation — no new weaknesses or failure modes being discovered. Used by all 5 campaigns as termination signal.
- ▌ Injection Fidelity · yogsoth-ai bundleLoss-1 judge (codex role). Given one sample's de-identified dialogue and its PolicyCard, decide axis-by-axis whether the user-simulator enacted the card's per-axis pressure. Judge enactment of the card, never whether the research is good.
- ▌ Competing Hypothesis Construction · yogsoth-ai bundleStrategy: Construct multiple competing hypotheses for the same phenomenon
- ▌ Convergence Assumption Extraction · yogsoth-ai bundleSystematically surface hidden assumptions underlying a decision with confidence levels.
- ▌ Creative Ideation Novelty Scoring · yogsoth-ai bundleScore ideas on novelty dimensions — structural distance from known solutions, conceptual surprise, domain-crossing depth. Produces ranked novelty assessment.
- ▌ Deep Insight Sensitivity Analysis · yogsoth-aiSensitivity Analysis Campaign — identify which assumptions are most critical by measuring their impact on conclusions. 5 strategies (parameter-screening, variance-decomposition, assumption-criticality, uncertainty-propagation, decision-sensitivity), 3 tactics, 11 subagent SOPs.
- ▌ Experiment Execution Paper Search · yogsoth-aiImport SOP: paper AI summary reading (from literature-engine skill)
- ▌ Experiment Execution Web Research · yogsoth-aiImport SOP: deep full-page content analysis (from web-browsing skill)
- ▌ Hypothesis Formation Paper Search · yogsoth-aiImport SOP: Medium-depth literature search, AI summary report (from literature-engine)
- ▌ Hypothesis Formation Web Research · yogsoth-aiImport SOP: deep web research, full-text fetching and analysis (from web-browsing)
- ▌ Portfolio Evaluation Per Scenario · yogsoth-ai bundleEvaluate a specific portfolio's performance metrics and vulnerabilities under a given scenario.
- ▌ Convergence Multi Criteria Scoring · yogsoth-aiMulti-Criteria Scoring Campaign — evaluate and rank candidates against multiple weighted criteria using AHP, BWM, TOPSIS, VIKOR, ELECTRE, PROMETHEE, MAUT methods.
- ▌ Convergence Portfolio Optimization · yogsoth-aiPortfolio Optimization Campaign — select balanced combinations from candidate sets optimizing value, diversity, risk, and robustness using Markowitz, Knapsack, Pareto, Real Options, MAP-Elites, and minimax regret methods.
- ▌ De Anthropocentric Research Engine · yogsoth-aiTop-level orchestrator for the yogsoth-ai research ecosystem. Drives the full research lifecycle from direction crystallization through experiment design.
- ▌ Knowledge Acquisition Paper Search · yogsoth-aiAI-summarized paper reading for intermediate depth. Import of literature-engine/literature-search skill. Must call get_paper_content for every analyzed paper.
- ▌ Knowledge Acquisition Web Research · yogsoth-aiFull-page web reading for non-academic perspectives — blogs, tech reports, product pages, industry analysis. Import of web-browsing/web-research skill. Must fetch full page via apify for every analyzed page.
- ▌ Stress Test Dialectical Escalation · yogsoth-aiTactic: Progressive debate escalation based on confidence thresholds. Each round increases attack sophistication until defender collapses or proves resilient.
- ▌ Ladder Quality Order · yogsoth-ai bundleLoss-2 judge (codex role). Over one topic's 6 shuffled research-design samples, pairwise-rank by quality using the D1–D5 standard. Emit the pairwise log; the harness computes the order and the ladder verdicts. Judge quality difference, never against academic standards.
- ▌ Experiment Execution Paper Overview · yogsoth-aiImport SOP: paper landscape scan (from literature-engine skill)
- ▌ Experiment Execution Paper Research · yogsoth-aiImport SOP: paper full-text reading (from literature-engine skill)
- ▌ Feasibility Constrained Formulation · yogsoth-ai bundleStrategy: reshape a research question under resource constraints — pragmatic adjustment that preserves core value
- ▌ Framework Selection And Application · yogsoth-ai bundleTactic: Select the most suitable RQ framework and apply it systematically
- ▌ Hypothesis Formation Paper Overview · yogsoth-aiImport SOP: Quick paper scan, returns abstract and metadata (from literature-engine)
- ▌ Hypothesis Formation Paper Research · yogsoth-aiImport SOP: Deep literature research, raw full text + PDF Q&A (from literature-engine)
- ▌ Counterfactual Scenario Construction · yogsoth-ai bundleConstruct precise, internally consistent counterfactual scenarios where specified factors are altered, then reason about the resulting conclusion.
- ▌ Hypothesis Formation Novelty Scoring · yogsoth-ai bundleSOP: Assess the novelty potential of a research gap, identify differentiation directions, and output a score
- ▌ Knowledge Acquisition Paper Research · yogsoth-aiFull-depth paper reading with raw text extraction. Import of literature-engine/literature-research skill. Must read fullText (true) — equations, hyperparameters, specific claims extracted.
- ▌ Convergence Bottleneck Identification · yogsoth-ai bundleIdentify bottleneck dimensions from radar data with severity ranking.
- ▌ Creative Ideation Benchmark Inventory · yogsoth-ai bundleCatalog all known solutions/methods in a domain with performance, applicability, and limitations.
- ▌ Creative Ideation Combination Mapping · yogsoth-aiSystematically enumerate parameter dimensions and generate viable combinations. Orchestrates parameter extraction → value enumeration → compatibility assessment → synthesis.
- ▌ Creative Ideation Factor Level Design · yogsoth-ai bundleIdentify factors and their levels for a problem, then design an experiment matrix for systematic exploration.
- ▌ Knowledge Structuring Novelty Scoring · yogsoth-aiSOP for scoring empty cells by novelty potential — how surprising and valuable would this combination be?
- ▌ Stress Test Validity Envelope Mapping · yogsoth-aiMap the complete validity envelope of a claim across all relevant dimensions, synthesizing breakpoints into a bounded region.
- ▌ Creative Ideation Assumption Surfacing · yogsoth-ai bundleEnumerate implicit assumptions in a problem statement or existing solution. Produces categorized assumption inventory (physical, social, temporal, economic, technical).
- ▌ Creative Ideation Consistency Checking · yogsoth-aiPairwise consistency evaluation to reduce solution space by identifying and removing inconsistent combinations.
- ▌ Creative Ideation Perspective Rotation · yogsoth-aiRotate through reviewer/practitioner/theorist/time-machine/novice perspectives systematically. Ensures comprehensive viewpoint coverage.
- ▌ Creative Ideation Saturation Detection · yogsoth-ai bundleDetermine when additional ideation yields diminishing returns. Analyzes latest idea batch against existing corpus to judge continue/near-saturation/saturated.
- ▌ Convergence Scoring Matrix Construction · yogsoth-aiBuild a complete scoring matrix through criterion definition, weighting, scoring, normalization, and sensitivity testing.
- ▌ Experiment Execution Quality Gate Check · yogsoth-ai bundleShared SOP: verify quality gate criteria are met before proceeding
- ▌ Hypothesis Formation Gap Prioritization · yogsoth-ai bundleCampaign: Systematically assess and rank research gaps, determining the targets most worth attacking
- ▌ Hypothesis Formation Quality Gate Check · yogsoth-ai bundleShared SOP: General quality-gate check (format completeness, logical consistency)
- ▌ Convergence Multi Stakeholder Simulation · yogsoth-ai bundleSimulates diverse stakeholder perspectives and their strongest objections/support arguments. Shared across steel-manning and consensus campaigns.
- ▌ Creative Ideation Assumption Enumeration · yogsoth-aiSurface, perturb, and prioritize assumptions by disruption potential. Orchestrates assumption surfacing → perturbation → sacred cow identification → prioritization.
- ▌ Creative Ideation Provocation Generation · yogsoth-aiGenerate PO provocations and extract constructive movement. Orchestrates assumption surfacing → provocation creation → movement extraction → idea formation.
- ▌ Experiment Execution Factor Level Design · yogsoth-ai bundleDesign factorial experiments to test how specific factors affect outcomes
- ▌ Knowledge Acquisition Gap Identification · yogsoth-ai bundleIdentify what the literature has NOT addressed — missing methods, untested combinations, unexplored applications, contradictions without resolution. Used by all strategies.
- ▌ Knowledge Structuring Gap Prioritization · yogsoth-aiStrategy for ranking unexplored combinations by novelty, feasibility, and potential impact.
- ▌ Creative Ideation Assumption Perturbation · yogsoth-ai bundlePerturb each assumption, observe system response. Systematic stress-testing of assumptions to reveal fragility and opportunity.