yogsoth-ai
- 998 skills
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- 17 hours ago last updated
- ▌ Taxonomy Mapping · yogsoth-ai bundleConstruct a hierarchical field map from paper collection — multi-level taxonomy with parent/child relationships, paper counts per node, and maturity indicators. Used by scoping-survey.
- ▌ Validity Probing · yogsoth-aiChallenge construct validity — does benchmark measure claimed capability? — 3 benchmarks, 40 papers, 30 web searches
- ▌ Wiki Graph Query · yogsoth-aiSOP wrapping vault_query_graph — traverse knowledge graph from a node to explore its neighborhood and context.
- ▌ Ballot Collection · yogsoth-ai bundleGather independent ranking ballots from multiple judges or perspectives for a given candidate set.
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- ▌ Boundary Analysis · yogsoth-aiBoundary Analysis Campaign — probe where methods fail, map validity envelopes, test robustness, catalog failure modes, detect scaling limits. 5 strategies, 3 tactics, 11 subagent SOPs.
- ▌ Bridge Validation · yogsoth-aiValidate analogy depth and transfer viability. Ensures only deep structural analogies (not surface-level similarities) proceed to transfer.
- ▌ Categorize Papers · yogsoth-ai bundleCluster papers by theme, method, or timeline. Produces natural groupings from a paper collection. Used by scoping-survey and narrative-review.
- ▌ Citation Chaining · yogsoth-aiForward 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.
- ▌ Clarify Resources · yogsoth-aiUnderstand what resources the user has available for research — compute, timeline, collaboration, data access, experimental environment. Every item accepts 'TBD' as a valid answer.
- ▌ Comparison Design · yogsoth-ai bundleDesign fair comparison experiments against baselines and competing methods
- ▌ Component Surgery · yogsoth-aiComponent-level surgical operations (subtract/multiply/divide/unify/redirect) from Systematic Inventive Thinking (SIT).
- ▌ Concept Hierarchy · yogsoth-aiBuild concept levels from purpose through concepts to ideas, with escape and fractionation at each level.
- ▌ Confidence Update · yogsoth-aiSOP for updating confidence scores on claims and evidence pages based on new information.
- ▌ Consistency Check · yogsoth-ai bundleSOP: Check the transitive consistency of a pairwise judgment matrix, identify inconsistent entries, and suggest corrections
- ▌ Context Exploring · yogsoth-aiSOP: Read context/INDEX.md and sort the whole directory into three ARA material types (report line, process line, images), locate the north-star file, and draft a feeding plan for the ARA compiler
- ▌ Convergence Check · yogsoth-ai bundleEvaluate whether the ranking has stabilized by analyzing rating history and computing stability metrics.
- ▌ Coverage Analysis · yogsoth-aiSystematic coverage evaluation pipeline — benchmark inventory, method-problem crossing, and intersection evaluation to map explored vs unexplored solution space.
- ▌ Creative Ideation · yogsoth-aiCreative Generation Engine — transforms research hypotheses into diverse solution spaces via 10 parallel creativity campaigns spanning structural, analogical, destructive, and combinatorial methods.
- ▌ Cross Examination · yogsoth-ai bundleProbes defender responses for inconsistencies, logical gaps, and unsupported claims. Acts as follow-up interrogation after initial defense.
- ▌ Design By Analogy · yogsoth-aiComplete DBA process: problem reframe → source search → map → transfer → adapt. Full Design-by-Analogy methodology for systematic analogical design.
- ▌ Detection Scoring · yogsoth-ai bundleRate detectability 1-10 (inverted: 10 = hardest to detect). Estimates how likely current controls would catch the failure before impact.
- ▌ Domain Divergence · yogsoth-aiScan and select maximally diverse source domains. Ensures creative search covers genuinely unrelated fields with high transfer potential.
- ▌ Ecosystem Pattern · yogsoth-aiExtract ecosystem-level organization patterns (symbiosis, emergence, resilience) as design templates for complex systems.
- ▌ Evidence Weighing · yogsoth-aiTactic for assessing the strength and relevance of evidence for causal claims — distinguishes correlation from causation.
- ▌ Experiment Design · yogsoth-ai bundleTransform validated hypotheses into rigorous, executable experiment designs
- ▌ Facet Bisociation · yogsoth-aiBridge two unrelated thinking matrices via Koestler bisociation. Identify independent frames of reference and force collision to produce creative insight.
- ▌ Feasibility Check · yogsoth-ai bundleCross-reference the GoalTree against ActorProfile (capabilities), ObstacleReport (known barriers), and timeline (deadline feasibility). Identify infeasible paths and suggest OR alternatives.
- ▌ Forced Connection · yogsoth-ai bundleForce connection between two unrelated concepts. Deliberately construct bridging paths where no natural connection exists.
- ▌ Function Analysis · yogsoth-ai bundleFMEA Step 3: Decompose artifact into function tree — identify what each component is supposed to do before analyzing how it can fail.
- ▌ Function Trimming · yogsoth-aiRemove components while preserving function via TRIZ trimming methodology. Simplify systems by redistributing functions.
- ▌ Gap Normalization · yogsoth-ai bundleSOP: Unify gaps from different sources into the standard GapRecord format
- ▌ Green Hat Session · yogsoth-ai bundleStructured creative thinking in Six Hats Green Hat mode — pure creative output with judgment suspended.
- ▌ Lateral Synthesis · yogsoth-ai bundleSynthesize all lateral thinking intermediate outputs into a structured idea report.
- ▌ Literature Search · yogsoth-aiMedium-depth literature search — read AI-summarized reports for every paper analyzed
- ▌ Literature Survey · yogsoth-aiAutonomous Literature Survey Campaign — 5 research paradigms (scoping, systematic, deep, narrative, snowball) with quantitative budget enforcement. Selects and executes the right survey paradigm based on research intent.
- ▌ Matrix Generation · yogsoth-aiTactic for generating and populating combination matrices — cross dimensions to enumerate the design space.
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- ▌ Mitigation Design · yogsoth-aiStrategy: Design prevention, detection, and response measures for high-priority failure modes. Produces actionable countermeasures validated via re-scoring.
- ▌ Multiagent Debate · yogsoth-aiCampaign: Multi-agent structured debate for adversarial validation. Core question: Can this artifact survive structured adversarial debate? Methods: Irving AI Safety via Debate, Du Society of Mind, Liang MAD, Toulmin Argumentation, D3 framework.
- ▌ Narrative Framing · yogsoth-aiTheory-driven reading tactic — define a theoretical framework first, then guide reading to fill it with evidence. Five stages (theme identification, argument construction, evidence collection, counter-evidence, synthesis). The most intellectually demanding tactic.
- ▌ Obstacle Analysis · yogsoth-aiIdentify what blocks the user from pursuing their chosen direction, assess severity, propose mitigations with search-validated evidence, and get user acceptance. Use after direction-narrowing has identified a specific direction.
- ▌ Ontology Building · yogsoth-aiCampaign for building domain ontologies — systematic concept extraction, relation typing, taxonomy construction, and iterative refinement. Produces a structured concept hierarchy in the wiki vault.
- ▌ Ranking Synthesis · yogsoth-ai bundleProduce the final ranking artifact from converged ratings and consistency report.
- ▌ Research Question · yogsoth-ai bundleCampaign: Refine hypotheses into precise, framed research questions
- ▌ Result Collection · yogsoth-ai bundleCollect experiment outputs — metrics, logs, artifacts — into structured result set
- ▌ Robustness Design · yogsoth-ai bundleDesign experiments to identify failure boundaries and robustness limits
- ▌ Scenario Planning · yogsoth-ai bundleWhat might the future look like — construct multiple future scenarios, assess research approach robustness under different assumptions
- ▌ Scope Calibration · yogsoth-ai bundleStrategy: Adjust research question scope — zoom in/out until the scope is appropriate
- ▌ Scoring Synthesis · yogsoth-ai bundleSynthesize score matrix, rankings, and sensitivity analysis into a final recommendation.
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- ▌ Six Hats Rotation · yogsoth-aiComplete Six Hats rotation (White→Red→Black→Yellow→Green→Blue) to force systematic perspective diversity.
- ▌ Spice Application · yogsoth-ai bundleSOP: Apply the SPICE framework to structure an evaluation research question
- ▌ Surgery Operation · yogsoth-ai bundleExecute component surgery operations (subtract/multiply/divide/unify/redirect) from Systematic Inventive Thinking.
- ▌ Systematic Survey · yogsoth-aiExhaustive PRISMA-style literature survey — comprehensive coverage of all related work on a specific question. Multi-stage screening, citation chaining, quality assessment, and structured data extraction. Use when the user needs to demonstrate complete literature coverage or conduct rigorous gap analysis.
- ▌ Temporal Scenario · yogsoth-ai bundleHow does it evolve over time? — Short/medium/long-term timeline projection with technology maturity curves
- ▌ Threshold Setting · yogsoth-ai bundleDefine minimum acceptable thresholds for each criterion based on context and constraints.
- ▌ Validation Report · yogsoth-aiSOP for generating a causal model validation report — summarize coverage, confidence, gaps, contradictions.
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- ▌ Vault Maintenance · yogsoth-aiTactic for vault health upkeep — lint, orphan resolution, merge candidates, confidence updates. Minimum yield ≥1 issue resolved per invocation.
- ▌ Verdict Synthesis · yogsoth-ai bundleSynthesizes findings from a completed campaign into typed verdict reports. Produces DebateVerdict, RedTeamReport, FailureAnticipationReport, CounterfactualMap, or AdversarialStressReport depending on campaign. Also supports cross-campaign StressTestSummary.
- ▌ Wiki Compile Page · yogsoth-aiSOP for wiki page creation/update — create or update a synthesized wiki page with edges and index update.
- ▌ Worst Case Design · yogsoth-ai bundleDesign the worst possible solution. Deliberate failure engineering to reveal hidden constraints and inversion opportunities.
- ▌ Ablation Execution · yogsoth-ai bundleRemove components one by one from a system, record the response/impact of each removal.
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- ▌ Aggregation Method · yogsoth-ai bundleAggregate multiple ranking ballots into a consensus ranking using a specified social choice method.
- ▌ Analogy Extraction · yogsoth-aiExtract transferable structural principles from source domains. Orchestrates source identification → abstraction → structural mapping → transfer validation.
- ▌ Argument Synthesis · yogsoth-aiStrategy for synthesizing argument positions — aggregate evidence, resolve contradictions, produce synthesis reports identifying which claims survive scrutiny.
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- ▌ Ask Intentionality · yogsoth-aiDeep WHY probing inspired by i* Intentionality modeling. Understand the user's motivation, success definition, risk tolerance, innovation preference, independence preference, time urgency, and learning willingness. The most important SOP in actor-profiling — understanding WHY drives everything downstream.
- ▌ Assumption Cascade · yogsoth-aiTactic: Surface assumptions, sort by dependency, attack root assumptions first, then trace cascade failures through the dependency graph.
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- ▌ Baseline Synthesis · yogsoth-ai bundleProduce final structured baseline report integrating all analysis results
- ▌ Biotriz Resolution · yogsoth-aiBioTRIZ: biological 40 principles + bio contradiction matrix. Resolve technical contradictions using biological inventive principles.
- ▌ Blend Construction · yogsoth-aiConstruct complete 4-space blends with emergent structure. Orchestrates input-space-construction → generic-space-extraction → blend-composition.
- ▌ Campaign Selection · yogsoth-aiStructured questioning SOP to determine which campaigns to include, emphasize, or skip. Used during spec generation.
- ▌ Causal Chain Query · yogsoth-aiSOP for tracing causal chains — follow edges from cause to effect through intermediate variables.
- ▌ Compile And Review · yogsoth-aiTactic: Compile the feeding plan into an ARA via the external compiler, then run Level-2 rigor review over it
- ▌ Concept Extraction · yogsoth-aiStrategy for mining concepts from sources — systematic extraction, page creation, alias resolution.
- ▌ Confidence Scoring · yogsoth-aiSOP for assigning calibrated confidence scores to causal claims based on evidence quality and quantity.
- ▌ Conjunctive Filter · yogsoth-ai bundleApply conjunctive screening rules to eliminate candidates that fail any threshold.
- ▌ Context Checkpoint · yogsoth-aiAppend research process and results to the current Phase's context file. Covers both process and results with genuine substance. Use this skill at plan-designated checkpoint points — typically after each strategy completes or at key decision nodes within a research Phase.
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- ▌ Evolution Strategy · yogsoth-aiUse evolution mechanisms (selection, mutation, radiation) as design operators for generating and refining solution populations.
- ▌ Experiment Running · yogsoth-ai bundleExecute the plan by dispatching fresh subagents per task, monitoring status, and collecting results
- ▌ Factor Enumeration · yogsoth-ai bundleList all key factors, conditions, and assumptions that support or enable the artifact's conclusion.
- ▌ Factorial Ideation · yogsoth-aiDOE thinking: identify factors, define levels, and explore combinations to systematically cover the design space.
- ▌ Formulate Top Goal · yogsoth-aiExpress the user's chosen research direction as a formal goal statement in the format: 'Achieve [what], such that [effect], under [constraints]'. Confirm with user before proceeding to decomposition.
- ▌ Framework Matching · yogsoth-ai bundleSOP: Match the most suitable RQ framework based on research type
- ▌ Functional Analogy · yogsoth-aiMap technical functions to biological functions, find organisms solving equivalent problems. Deep functional matching across domains.
- ▌ Goal Decomposition · yogsoth-aiStructure the user's chosen direction into a formal goal tree using KAOS-style AND/OR decomposition. Validate feasibility against ActorProfile and ObstacleReport. Use after obstacle-analysis confirms the direction is viable.
- ▌ Identify Obstacles · yogsoth-ai bundleEnumerate barriers to pursuing the chosen research direction — knowledge barriers, resource barriers, capability barriers, competition barriers. May optionally use search tools to discover obstacles the user hasn't mentioned.
- ▌ Importance Scoring · yogsoth-ai bundleSOP: assess the academic and practical importance of a research gap, output a 1-5 score with rationale
- ▌ Inversion Protocol · yogsoth-aiReverse statements → extract insights → build constructive alternatives. Systematic inversion pipeline from negation to innovation.
- ▌ Lakatos Heuristics · yogsoth-aiProofs and Refutations method: generate counterexamples, attempt monster-barring, incorporate surviving counterexamples as lemma refinements.
- ▌ Loop Documentation · yogsoth-aiSOP for documenting a feedback loop — classify, describe dynamics, identify break points.
- ▌ Maturity Diagnosis · yogsoth-aiAssess current readiness of candidates using TRL 9-level, NASSS 7-dimension, and Innovation Readiness Level frameworks.
- ▌ Movement Operation · yogsoth-ai bundleExtract constructive directions from PO provocations using 4 movement types (moment-to-moment, principle, focus difference, positive aspects).
- ▌ Narrative Scenario · yogsoth-ai bundleWhat is the story of each future? — Shell method narrative construction for rich qualitative scenario understanding