Validate and prioritize starting papers for snowball surveys. Evaluates which seeds will yield the richest citation traces based on citation count, recency, and network position.
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。
Validate and prioritize starting papers for snowball surveys. Evaluates which seeds will yield the richest citation traces based on citation count, recency, and network position.
原文の言語: 英語
Select the final portfolio from the Pareto front by applying stakeholder preferences and decision criteria.
原文の言語: 英語
Design leave-one-out, influence diagnostics, subgroup analyses, and robustness checks
原文の言語: 英語
Rank constraints by sensitivity — which ones most impact the outcome if they shift
原文の言語: 英語
Synthesize all sensitivity analysis results into a coherent report with prioritized recommendations.
原文の言語: 英語
Apply time/space/condition/scale separation to resolve physical contradictions where the same parameter must satisfy opposing requirements.
原文の言語: 英語
Rate failure mode severity 1-10 based on end-effect impact. Follows AIAG-VDA severity scale calibrated for research artifacts.
原文の言語: 英語
Remove one specified factor from the artifact's support structure and reason about how the conclusion changes.
原文の言語: 英語
Green Hat focused creative thinking within Six Hats framework
原文の言語: 英語
Citation-chain-driven literature survey starting from seed papers. Traces research lineage in both forward (who cited this) and backward (what this cited) directions until saturation. High deep-read ratio (67%). Use when the user already has key papers and…
原文の言語: 英語
Sobol variance decomposition — compute first-order and total-order sensitivity indices for precise variance attribution.
原文の言語: 英語
Strategy: Multi-agent collaborative debate based on Du et al. Society of Mind. Agents share perspectives iteratively until convergence or divergence is detected.
原文の言語: 英語
Apply 6 types of Socratic questions to test claims and assumptions. Exposes weaknesses and strengthens reasoning.
原文の言語: 英語
Apply CCA to remove inconsistent combinations
原文の言語: 英語
Convert analogy insights into concrete feasible solutions. Transform abstract connections into actionable mechanisms.
原文の言語: 英語
Define gate criteria for each stage, evaluate candidates at each gate, and render go/kill/recycle decisions with evidence.
原文の言語: 英語
Simulate stakeholder perspectives to validate gap priorities. Assesses gap value from researcher, practitioner, funder, and end-user viewpoints.
原文の言語: 英語
Map all affected parties using CSH 12-question framework, identify jobs-to-be-done, classify by salience. Reveals whose perspective is systematically excluded.
原文の言語: 英語
Simulate stakeholder objections through role-play and political feasibility analysis to test whether the decision survives real-world opposition.
原文の言語: 英語
Simulate user/engineer/investor/regulator/society perspectives to surface hidden requirements and opportunities.
原文の言語: 英語
Strategy: Weight by stakeholder perspective — the same gap carries different weight under different perspectives; take the consensus ranking at the end
原文の言語: 英語
Select appropriate statistical methods for experiment analysis
原文の言語: 英語
Synthesize all attacks and verdicts into a final unified assessment with surviving concerns and recommended modifications.
原文の言語: 英語
Use impractical ideas as stepping stones to reach practical solutions (de Bono Stepping Stone technique).
原文の言語: 英語
Orchestrates impact assessment and robustness scoring to evaluate research approach resilience across scenarios
原文の言語: 英語
Tactic for assessing argument strength — evaluate evidence quality, count independent sources, check for defeaters, assign calibrated confidence scores.
原文の言語: 英語
What is the worst case? — Extreme condition construction and failure mode enumeration for risk preparedness
原文の言語: 英語
Strategy: Pearl Three-Step counterfactual — Abduction (fit model to evidence), Action (intervene on factor), Prediction (derive counterfactual outcome).
原文の言語: 英語
Map source→target structural correspondences. Identifies corresponding, missing, and extra elements between domains.
原文の言語: 英語
Synthesize all structural transformation outputs into a coherent, ranked idea report with lineage tracking.
原文の言語: 英語
Tactic: Full attack lifecycle — threat surface enumeration, attack vector generation, systematic probing, and finding aggregation across all surfaces.
原文の言語: 英語
Tactic: Decompose a main question into a hierarchy of independently answerable sub-questions
原文の言語: 英語
Evaluate the probability of sufficiency (PS) for a causal factor — would this factor alone be enough to produce the conclusion?
原文の言語: 英語
Execute component surgery operations (subtract/multiply/divide/unify/redirect) from Systematic Inventive Thinking.
原文の言語: 英語
Final synthesis step — weave all gathered evidence (reading notes, extracted data, categorizations) into a coherent structured output appropriate to the strategy type. Used by all 5 strategies as the final step.
原文の言語: 英語
Compress core contradiction into poetic imagery/oxymoron. Use compressed conflicts to reveal hidden solution directions.
原文の言語: 英語
Compress problem contradiction into 2-3 word oxymoron. Produces oxymorons with interpretation directions for each.
原文の言語: 英語
Synthesize all synectics outputs into a structured idea report. Combines results from all analogy types and excursion processes.
原文の言語: 英語
Tactic: List all factors, remove one at a time, assess conclusion stability, rank factors by load-bearing importance.
原文の言語: 英語
Multi-axis systematic perturbation — define variation axes, perturb along each, measure degradation, construct validity envelope.
原文の言語: 英語