Orchestrates pairwise consistency evaluation and narrative construction to filter the morphological field
原文の言語: 英語
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このリポジトリの skills
SkillsMP は yogsoth-ai/de-anthropocentric-research-engine から 961 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
yogsoth-ai/de-anthropocentric-research-engine収集済み skill 961 件中 40 件を表示しています。
Orchestrates pairwise consistency evaluation and narrative construction to filter the morphological field
原文の言語: 英語
Verify gap existence across multiple databases (Semantic Scholar, Google Scholar, arXiv, domain-specific). Distinguishes database-specific gaps from universal gaps.
原文の言語: 英語
Synthesize all cross-domain findings into a structured idea report. Integrates outputs from all strategies and SOPs.
原文の言語: 英語
Probes defender responses for inconsistencies, logical gaps, and unsupported claims. Acts as follow-up interrogation after initial defense.
原文の言語: 英語
Multi-source cross-validation of gap authenticity — cross-database search, temporal sensitivity testing, false-gap filtering, stakeholder confirmation.
原文の言語: 英語
Apply Ulrich's Critical Systems Heuristics 12 questions across 4 dimensions (motivation, control, expertise, legitimacy) comparing is vs ought.
原文の言語: 英語
Track evidence accumulation over time — cumulative meta-analysis protocol design. Budget: 40 studies, 40 effect sizes, 30 web searches.
原文の言語: 英語
Build TOC Current Reality Trees — connect Undesirable Effects via sufficient-cause logic to identify 1-3 root causes.
原文の言語: 英語
Scan a pairwise comparison matrix for preference cycles and compute transitivity metrics.
原文の言語: 英語
Design structured data extraction form for systematic meta-analysis data collection
原文の言語: 英語
Designs debate structure based on artifact type — selects attack vectors, assigns perspectives, determines escalation ladder, and configures round parameters.
原文の言語: 英語
Generates structured criticism from attack stance using Toulmin model. Produces claims, grounds, warrants, and rebuttals targeting artifact weaknesses.
原文の言語: 英語
Responds to attacks with counter-evidence and counter-arguments. Defends artifact using evidence, clarification, and rebuttal while acknowledging valid criticisms.
原文の言語: 英語
Evaluates debate exchanges, adjudicates argument quality, and produces round verdicts with confidence scores and reasoning.
原文の言語: 英語
Extracts key turning points, patterns, and insights from completed debate transcripts. Produces structured summary for verdict synthesis.
原文の言語: 英語
Identify which uncertainties would actually change the research direction decision. Compute EVPI to prioritize uncertainty reduction.
原文の言語: 英語
Strategy: decompose a complex research question into a hierarchy of independently answerable sub-questions
原文の言語: 英語
Derive logical consequences step by step from a given premise, building a traceable derivation chain.
原文の言語: 英語
Strategy: deduce hypotheses from existing theory
原文の言語: 英語
Deep Insight Engine with 5 campaigns (gap-analysis, insight, boundary-analysis, sensitivity-analysis, problem-reformulation). Use this skill whenever a user needs to deeply analyze research gaps, understand root causes, probe method boundaries, assess…
原文の言語: 英語
Precise, targeted investigation of a specific sub-problem — few papers, all read in full depth. High paper-research ratio (50% deep-read rate). Use when the user knows exactly what they need to understand and requires detailed technical analysis with…
原文の言語: 英語
Full-page web reading for non-academic perspectives — blogs, tech reports, product pages, industry analysis. Spawns a subagent to read pages in isolated context. Hard constraint: at least 30 web pages read in full.
原文の言語: 英語
Formalize search queries and inclusion/exclusion criteria for systematic surveys. Produces a reproducible search protocol document. Used by systematic-survey.
原文の言語: 英語
Strategy for small-N complete pairwise comparison using Bradley-Terry, Thurstone, AHP, and Borda methods to produce calibrated rankings.
原文の言語: 英語
What must be completed first? — Dependency chain analysis + prerequisite graph construction
原文の言語: 英語
Build task dependency graph with predecessor/successor relationships
原文の言語: 英語
Identify critical dependencies from ablation results, producing a dependency graph and highlighting critical components.
原文の言語: 英語
Determine task dependencies and execution order
原文の言語: 英語
Complete DBA process: problem reframe → source search → map → transfer → adapt. Full Design-by-Analogy methodology for systematic analogical design.
原文の言語: 英語
Strategy: Research design-level FMEA — function analysis, failure mode identification, severity/occurrence/detection scoring per AIAG-VDA 2019.
原文の言語: 英語
Build the experiment design matrix with proper orthogonality and balance
原文の言語: 英語
Parametric variation + constraint satisfaction combinatorial search
原文の言語: 英語
Visualize explored/unexplored regions of solution space
原文の言語: 英語
Generate structured description of design space
原文の言語: 英語
Synthesize all assumption destruction outputs into structured destructive innovation report.
原文の言語: 英語
Rate detectability 1-10 (inverted: 10 = hardest to detect). Estimates how likely current controls would catch the failure before impact.
原文の言語: 英語
Construct the strongest possible counter-argument against a position, steelmanning the opposition before attacking.
原文の言語: 英語
Surface Argyris governing variables and test whether the problem dissolves under alternative governing variables (double-loop learning).
原文の言語: 英語
Hegelian thesis-antithesis-synthesis cycle — propose position, generate opposition, structured debate, synthesize transcending insight. Combines evaporating-cloud and polarity-mapping SOPs.
原文の言語: 英語
Score a single readiness dimension for a candidate with evidence and gap analysis.
原文の言語: 英語