yogsoth-ai
- 998 skills
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- 14 hours ago last updated
- ▌ Weight Perturbation · yogsoth-ai bundleSOP: Perturb weights to test gap-ranking stability, output a stability verdict
- ▌ White Space Mapping · yogsoth-ai bundleFeature cross-matrix construction and blank area identification for patent opportunity mapping
- ▌ Adversarial Roleplay · yogsoth-aiTactic: Construct detailed hostile persona, attack artifact from that persona's perspective, record successful attack paths for aggregation.
- ▌ Alternative Analysis · yogsoth-aiStrategy: What-If Analysis, Alternative Futures, and Four Ways of Seeing — generate competing explanations and scenarios to challenge the dominant narrative.
- ▌ Biomimicry Synthesis · yogsoth-ai bundleSynthesize all biomimicry outputs into a structured idea report. Integrate biological strategies, design principles, and technical solutions.
- ▌ Boundary Enumeration · yogsoth-aiSystematic Boundary Value Analysis: identify parameter boundaries, test at and beyond limits, detect breakpoints.
- ▌ Breakpoint Detection · yogsoth-ai bundleTest a claim at extreme parameter values and detect the precise point where it breaks down.
- ▌ Causal Chain Tracing · yogsoth-ai bundleTrace UDE to root cause via IF...THEN...BECAUSE logic chains
- ▌ Competitive Scenario · yogsoth-ai bundleWhat will competitors do? — Competitive method progress prediction and time window analysis
- ▌ Condition Cataloging · yogsoth-ai bundleRecord evaluation conditions (data splits, hyperparams, hardware, seeds) from a paper
- ▌ Constraint Injection · yogsoth-ai bundleInject artificial constraints to force creative divergence. Generates and applies constraints (resource, time, material, audience, scale) to existing ideas to produce variants.
- ▌ Constraint Synthesis · yogsoth-ai bundleSynthesize constraint analysis into actionable report with priorities
- ▌ Courtroom Structured · yogsoth-aiStrategy: Legal adversarial structure — prosecution presents case, defense responds, evidence is cross-examined, judge delivers verdict. Emphasizes evidence quality and procedural rigor.
- ▌ Criterion Definition · yogsoth-ai bundleExtract evaluation criteria from research goals and candidate alternatives.
- ▌ Critical Case Design · yogsoth-aiFlyvbjerg critical case methodology: select most-likely and least-likely cases to maximize inferential power.
- ▌ Data Extraction Form · yogsoth-ai bundleDesign structured data extraction form for systematic meta-analysis data collection
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- ▌ Dimension Assessment · yogsoth-ai bundleScore a single readiness dimension for a candidate with evidence and gap analysis.
- ▌ Dimensional Analysis · yogsoth-aiCampaign for mapping design spaces — discover dimensions/axes, enumerate combinations, identify gaps and novel opportunities. Produces dimensional maps in the wiki vault.
- ▌ Disagreement Mapping · yogsoth-aiMap disagreement structure by collecting judgments, clustering opinions, extracting arguments per cluster, and visualizing fault lines.
- ▌ Discrepancy Analysis · yogsoth-aiIdentify discrepancies between reported and reproducible scores — 15 methods, 45 data points, 30 web searches budget
- ▌ Divergence Detection · yogsoth-ai bundleIdentifies agreement and disagreement patterns across multiple perspective evaluations. Maps consensus clusters and persistent divergence points.
- ▌ Effect Size Planning · yogsoth-ai bundleDetermine effect size types and calculation methods for meta-analytic synthesis
- ▌ Emulation Generation · yogsoth-ai bundleGenerate technical solutions emulating biological strategies. Bridge from design principle to concrete implementation.
- ▌ Evaluation Filtering · yogsoth-aiMulti-dimensional evaluation and tiered filtering of generated ideas. Orchestrates novelty assessment → feasibility check → ranking → selection.
- ▌ Evidence Linking Arg · yogsoth-aiStrategy for linking evidence to claims — find supporting/contradicting evidence, create typed edges, assess evidence quality, identify gaps in evidential coverage.
- ▌ Execution Monitoring · yogsoth-ai bundleMonitor execution progress, detect anomalies, and report status
- ▌ Failure Anticipation · yogsoth-aiCampaign: Forward-looking failure analysis combining pre-mortem rapid screening with systematic FMEA deep-dive. Core question: If this artifact fails, how will it fail? Methods: Klein Pre-Mortem 2007, AIAG-VDA FMEA 2019, IEC 60812.
- ▌ Falsifiability Audit · yogsoth-ai bundleTactic: hypothesis quality assurance — check falsifiability, repair failing hypotheses, complete operationalization and boundary-condition specification
- ▌ Falsifiability Check · yogsoth-ai bundleSOP: check whether a hypothesis meets the falsifiability criterion
- ▌ Finer Criteria Check · yogsoth-ai bundleSOP: check research-question quality against each of the 5 FINER criteria
- ▌ Flip Point Detection · yogsoth-ai bundleFind the minimal change magnitude along a dimension that causes the conclusion to flip from true to false.
- ▌ Function Combination · yogsoth-aiTRIZ function analysis: function-level recombination and redistribution
- ▌ Hypothesis Synthesis · yogsoth-ai bundleSOP: synthesize all intermediate products into a final structured hypothesis set
- ▌ Implementer Dispatch · yogsoth-ai bundleDispatch execution subagent — select model by complexity, construct prompt with full task context
- ▌ Inversion Extraction · yogsoth-ai bundleExtract constructive insights from worst solutions. Transform failure analysis into innovation directions.
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- ▌ Metric Decomposition · yogsoth-ai bundleDecompose composite metrics into constituent signals, analyze polarity and ceiling effects
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- ▌ Necessity Evaluation · yogsoth-ai bundleEvaluate the probability of necessity (PN) for a causal factor — would the conclusion fail if this factor were absent?
- ▌ North Star Synthesis · yogsoth-aiConverge all accumulated context into a crystallized North Star statement and structured ResearchBrief. Performs self-review before presenting to user. Use as the final tactic in any start mode — this is where everything comes together.
- ▌ Objective Definition · yogsoth-ai bundleDefine optimization objectives, constraints, and trade-off preferences from context and candidate information.
- ▌ Pareto Visualization · yogsoth-ai bundleCreate visual representation of the Pareto frontier showing trade-offs between objectives with narrative explanation.
- ▌ Persona Construction · yogsoth-ai bundleBuild a detailed adversarial persona with background, motivation, expertise, blind spots, and preferred attack patterns.
- ▌ Plausibility Ranking · yogsoth-ai bundleSOP: rank candidate explanations by plausibility using multi-dimensional weighted scoring
- ▌ Random Word Stimulus · yogsoth-ai bundleUse random word/concept injection as creative stimulus. Selects random concepts and forces connection to the problem space, generating unexpected solution paths.
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- ▌ Separation Principle · yogsoth-ai bundleApply time/space/condition/scale separation to resolve physical contradictions where the same parameter must satisfy opposing requirements.
- ▌ Structural Synthesis · yogsoth-ai bundleSynthesize all structural transformation outputs into a coherent, ranked idea report with lineage tracking.
- ▌ Structured Consensus · yogsoth-aiStructured Consensus Campaign — converge multiple perspectives into shared agreement through iterative structured dialogue using Delphi variants, NGT, RAND/UCLA, Consensus Conference methods.
- ▌ Symbolic Compression · yogsoth-ai bundleCompress problem contradiction into 2-3 word oxymoron. Produces oxymorons with interpretation directions for each.
- ▌ White Space Analysis · yogsoth-aiIdentify patent coverage gaps — feature cross-matrix blank areas revealing unprotected technology combinations. Budget: 150 patent families, 10 claim parses, 60 web searches.
- ▌ Abstraction To Design · yogsoth-ai bundleAbstract biological principle to design principle. Bridge from biology to engineering.
- ▌ Advocate Construction · yogsoth-ai bundleConstruct the strongest possible case for a rejected candidate or counter-position.
- ▌ Ahrq Picme Assessment · yogsoth-ai bundleSOP: Use the AHRQ PiCMe framework to systematically assess a research gap across 6 dimensions
- ▌ Assumption Constraint · yogsoth-ai bundleWhich assumptions are most fragile? — Vulnerability ranking + impact assessment of experiment assumptions
- ▌ Assumption Excavation · yogsoth-aiSystematic extraction, challenge, and sensitivity analysis of assumptions underlying a decision to identify load-bearing beliefs.
- ▌ Benchmark Archaeology · yogsoth-aiEvaluation Methodology Archaeology Campaign — 5 strategies for systematic analysis of AI/ML benchmarks, metrics, and leaderboards. Reveals construct validity issues, saturation, data contamination, and evaluation protocol inconsistencies.
- ▌ Best Option Selection · yogsoth-aiSelect the single best candidate from a set using WSM, TOPSIS, AHP, MAUT, or VIKOR methods.
- ▌ Challenge Questioning · yogsoth-ai bundleNon-threatening 'Why?' questioning of current practices to reveal historical accidents vs. genuine constraints.
- ▌ Competitor Simulation · yogsoth-ai bundleCompetitor perspective — design strategies to defeat this solution, then use attack vectors to improve it.
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- ▌ Concept Decomposition · yogsoth-aiTactic for breaking compound concepts into atomic parts — split over-broad concepts, identify sub-components, create child pages.
- ▌ Concept Fan Expansion · yogsoth-ai bundleExpand concept fan from purpose through concepts to directions to ideas (de Bono Concept Fan).
- ▌ Concept Page Creation · yogsoth-aiSOP for creating a new concept page with proper frontmatter, content, and initial edges.
- ▌ Consensus Measurement · yogsoth-ai bundleCompute consensus score from collected judgments using the appropriate statistical method.
- ▌ Critic Defender Judge · yogsoth-aiStrategy: Classic triangular debate — Critic attacks, Defender responds, Judge adjudicates. Based on Irving AI Safety via Debate with Toulmin argumentation structure.
- ▌ Dependency Constraint · yogsoth-ai bundleWhat must be completed first? — Dependency chain analysis + prerequisite graph construction
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- ▌ Destruction Synthesis · yogsoth-ai bundleSynthesize all assumption destruction outputs into structured destructive innovation report.
- ▌ Efficient Exploration · yogsoth-aiStrategy for large-N sparse pairwise comparison using TrueSkill, active learning, and rank centrality to rank 100+ candidates from limited comparisons.
- ▌ Enumeration Synthesis · yogsoth-ai bundleSynthesize all systematic enumeration outputs into a structured idea report with prioritized recommendations.
- ▌ Factor Identification · yogsoth-ai bundleIdentify independent, dependent, and control variables for an experiment
- ▌ Failure Chain Tracing · yogsoth-aiTactic: Trace upstream causes and downstream effects of each failure mode. Builds multi-level cause-mode-effect chains for systemic understanding.
- ▌ Feasibility Synthesis · yogsoth-ai bundleSynthesize all assessments into a feasibility matrix, recommendation, and risk summary.
- ▌ Feedback Distribution · yogsoth-ai bundleCreate anonymized feedback report summarizing group judgment distribution for a given round.
- ▌ Fragility Measurement · yogsoth-ai bundleCompute a fragility index from flip-point distances and degradation scores, summarizing how robust the conclusion is.
- ▌ Gap Driven Generation · yogsoth-aiGenerate solutions targeting specific coverage gaps — detect gaps, generate failure-driven solutions, and design factor-level experiments.
- ▌ Gap Pairwise Judgment · yogsoth-ai bundleSOP: Make a criterion-by-criterion relative priority judgment between two gaps and output the preference result
- ▌ Groupthink Mitigation · yogsoth-aiStrategy: 10th Man Rule and Liberating Structures — institutionalized dissent to prevent premature consensus and expose suppressed objections.
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- ▌ Key Assumptions Check · yogsoth-ai bundleMilitary ACT: systematically enumerate all assumptions, classify by type, and evaluate evidence strength supporting each.
- ▌ Knowledge Acquisition · yogsoth-aiResearch Knowledge Acquisition Engine with 5 campaigns (literature-survey, patent-mining, benchmark-archaeology, meta-analysis, baseline-establishment). Use this skill whenever a user needs to systematically acquire research knowledge — academic literature, patent landscapes, benchmark evaluations, cross-study statistical synthesis, or SOTA performance baselines. Pre-condition: north-star-crystallization must be complete.
- ▌ Knowledge Compilation · yogsoth-aiTactic for compiling research findings into vault pages — orchestrates page creation, updates, edge linking, and index maintenance. Minimum yield ≥3 page operations per invocation.
- ▌ Mechanism Gap Hunting · yogsoth-aiMechanism-Gap Hunting Campaign — hunt the specific link where scientific progress is BLOCKED, not where literature is empty. Use this instead of gap-analysis whenever the goal is truth-seeking / AI4S research rather than finding a publishable white-space — i.e. when the user asks "where is progress actually stuck", "what mechanism is blocking this", or wants a complete blocker set rather than a ranked gap list. 4 stages over reused deep-insight SOPs, with injected per-stage directives. Exhaustive (no prioritization/ranking).
- ▌ Method Problem Matrix · yogsoth-aiCross method×problem matrix, find unexplored intersections where known methods have not been applied to known problems.
- ▌ Minimal Change Search · yogsoth-aiTactic: Generate candidate changes, detect flip-points where conclusion reverses, measure fragility as distance to nearest flip.
- ▌ Mitigation Design Sop · yogsoth-ai bundleDesign prevention, detection, and response measures for high-priority failure modes. Produces actionable countermeasure specifications.
- ▌ Mitigation Validation · yogsoth-aiTactic: Run mini-FMEA on proposed mitigations to verify they do not introduce new failure modes. Prevents mitigation-induced risks.
- ▌ Necessity Sufficiency · yogsoth-aiStrategy: Probability of Necessity and Sufficiency (PNS/PS) — systematically evaluate whether each factor is necessary, sufficient, both, or neither for the conclusion.
- ▌ Parameter Enumeration · yogsoth-ai bundleEnumerate possible values for each uncertainty driver using MECE principles
- ▌ Patent Categorization · yogsoth-ai bundleClassify patents by tech subdomain, application scenario, and value chain position
- ▌ Patent Family Tracing · yogsoth-aiForward/backward patent citation and priority tracing until saturation
- ▌ Perspective Synthesis · yogsoth-ai bundleSynthesize all perspective outputs into a structured multi-perspective idea report.
- ▌ Prerequisite Planning · yogsoth-ai bundleIdentify obstacles blocking direct achievement and design intermediate objectives to overcome each
- ▌ Problem Biologization · yogsoth-ai bundleRestate technical problem as biological question. Translate engineering challenges into nature's language.
- ▌ Problem Reformulation · yogsoth-aiProblem Reformulation Campaign — question the problem itself. Escape dominant ideas, reframe from multiple perspectives, apply dialectical inquiry, assess wickedness, discover appreciative alternatives. 5 strategies, 3 tactics, 10 subagent SOPs.
- ▌ Prospective Hindsight · yogsoth-aiStrategy: Klein pre-mortem — assume the artifact has failed, then retrospect plausible causes. Generates rapid failure scenario catalog.
- ▌ Random Stimulus Entry · yogsoth-aiRandom word/paper/concept as thinking entry point. Use genuine randomness to escape fixation and open unexpected solution paths.
- ▌ Red Team Truthseeking · yogsoth-aiStrategy: Systematic adversarial probing retuned for truth-seeking. Threat surface = the set of load-bearing claims. Output is NOT a resilience score and NOT a hardening list — it is, per claim, the specific observation/computation that would refute it, plus which attacks succeeded. Methods: UFMCS Key Assumptions Check (repurposed), CIA Devil's Advocacy, Platt strong inference.