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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。
Enumerate 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.
原文の言語: 英語
Define inclusion/exclusion criteria for systematic study selection in meta-analysis
原文の言語: 英語
Identify which specific comparison pairs are most responsible for preference cycles and inconsistencies.
原文の言語: 英語
Strategy: induce and distill hypotheses from data/observations
原文の言語: 英語
Build input spaces for two source concepts
原文の言語: 英語
Detect and characterize significant parameter interactions from Sobol decomposition results.
原文の言語: 英語
Design intermediate objectives to overcome each identified obstacle
原文の言語: 英語
Evaluate exploration status of each cell in a method×problem matrix, annotating as explored, partial, or unexplored.
原文の言語: 英語
Analyze interventions and manipulations on the causal system
原文の言語: 英語
Extract constructive insights from worst solutions. Transform failure analysis into innovation directions.
原文の言語: 英語
Reverse statements → extract insights → build constructive alternatives. Systematic inversion pipeline from negation to innovation.
原文の言語: 英語
Decompose problems into 6M categories (Methodology, Data, Theory, Measurement, Researchers, Environment) via fishbone diagram analysis.
原文の言語: 英語
Execute one full Delphi round — collect judgments, distribute anonymous feedback, measure consensus, decide whether to continue.
原文の言語: 英語
Map stakeholder Jobs-to-be-Done — functional, emotional, and social jobs for each affected party. Identifies unserved jobs as opportunity signals.
原文の言語: 英語
Render an impartial verdict on advocate case vs critic attacks with explicit reasoning.
原文の言語: 英語
Collect independent judgments from all perspectives on a given question.
原文の言語: 英語
Military ACT: systematically enumerate all assumptions, classify by type, and evaluate evidence strength supporting each.
原文の言語: 英語
Research 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,…
原文の言語: 英語
Tactic for compiling research findings into vault pages — orchestrates page creation, updates, edge linking, and index maintenance. Minimum yield ≥3 page operations per invocation.
原文の言語: 英語
Proofs and Refutations method: generate counterexamples, attempt monster-barring, incorporate surviving counterexamples as lemma refinements.
原文の言語: 英語
Broad, shallow exploration of candidate research fields. Understand what's out there before narrowing. Use when the user needs to discover which fields are available to them — especially in cold-start and warm-start scenarios.
原文の言語: 英語
Patent landscape full-scan — maps technology domain via assignee ranking, IPC/CPC classification, filing trends. Budget: 200 patent families, 0 claim parses, 80 web searches.
原文の言語: 英語
Evaluate each candidate research field on maturity, competition, entry barrier, and publication opportunity. Synthesizes broad-web-search results into a structured FieldPanorama. Must consider both niche approaches AND direct frontal competition in hot fields.
原文の言語: 英語
de Bono lateral escape sequence — identify dominant idea, generate provocations (escape/reversal/exaggeration/distortion), follow consequences to extract new framings. Breaks paradigm lock-in.
原文の言語: 英語
Synthesize all lateral thinking intermediate outputs into a structured idea report.
原文の言語: 英語
Analyze leaderboard score distributions, compression, selective reporting
原文の言語: 英語
Systematically collect performance data from platforms and papers
原文の言語: 英語
Determine patent legal status — active, expired, pending, lapsed, or revoked
原文の言語: 英語
Determine appropriate levels for each experimental factor
原文の言語: 英語
Apply life's principles as design constraints. Orchestrates ecosystem-pattern-extraction → evolution-mechanism-transfer → abstraction-to-design.
原文の言語: 英語
Identify which factors are "load-bearing walls" — factors whose removal would collapse the conclusion.
原文の言語: 英語
Build n-dimensional morphological matrix
原文の言語: 英語
Tactic for generating and populating combination matrices — cross dimensions to enumerate the design space.
原文の言語: 英語
Design path to readiness using Stage-Gate, Technology Roadmapping, and milestone planning methods.
原文の言語: 英語
Assess current readiness of candidates using TRL 9-level, NASSS 7-dimension, and Innovation Readiness Level frameworks.
原文の言語: 英語
Map causal mechanisms between variables
原文の言語: 英語
Produce final meta-analysis protocol document assembling all planning outputs into PRISMA-compliant protocol
原文の言語: 英語
Comprehensively identify all relevant methods for a task — 50 methods, 60 web searches budget
原文の言語: 英語
Build method×problem cross-reference matrix showing which methods have been applied to which problems.
原文の言語: 英語
Cross method×problem matrix, find unexplored intersections where known methods have not been applied to known problems.
原文の言語: 英語