Biomimicry Design Spiral: Define→Biologize→Discover→Abstract→Emulate. Translate technical challenges into biological questions and find nature's solutions.
원문 언어: 영어
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이 저장소의 skills
SkillsMP는 yogsoth-ai/de-anthropocentric-research-engine에서 961개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
yogsoth-ai/de-anthropocentric-research-engine수집된 skill 961개 중 40개를 표시합니다.
Biomimicry Design Spiral: Define→Biologize→Discover→Abstract→Emulate. Translate technical challenges into biological questions and find nature's solutions.
원문 언어: 영어
Synthesize all biomimicry outputs into a structured idea report. Integrate biological strategies, design principles, and technical solutions.
원문 언어: 영어
Select applicable BioTRIZ principles for a given contradiction. Map to biological cases.
원문 언어: 영어
BioTRIZ: biological 40 principles + bio contradiction matrix. Resolve technical contradictions using biological inventive principles.
원문 언어: 영어
Build multi-domain bridging concept network. Creates a network of collision points between multiple thinking matrices.
원문 언어: 영어
Complete blend with background knowledge
원문 언어: 영어
Compose new connections in blended space
원문 언어: 영어
Run blend as mental simulation
원문 언어: 영어
Apply CSH boundary critique — what is included/excluded, who benefits/is harmed, what expertise is privileged/marginalized. Identifies opportunities at the boundaries.
원문 언어: 영어
Systematic Boundary Value Analysis: identify parameter boundaries, test at and beyond limits, detect breakpoints.
원문 언어: 영어
Map parameter space, generate extreme values, test at boundaries, detect breakpoints, synthesize validity envelope.
원문 언어: 영어
Compile all boundary analysis products into a coherent report — validity envelopes, robustness results, failure catalogs, scaling maps, safe operating conditions.
원문 언어: 영어
Systematically expose hidden system boundaries — CSH 12-question is/ought comparison, identify excluded stakeholders, reveal blind spots. Combines csh-12-question, jtbd-mapping, and salience-classification SOPs.
원문 언어: 영어
Test a claim at extreme parameter values and detect the precise point where it breaks down.
원문 언어: 영어
Validate analogy depth and transfer viability. Ensures only deep structural analogies (not surface-level similarities) proceed to transfer.
원문 언어: 영어
Optimize experiment design under compute and time budget constraints
원문 언어: 영어
Calculate project, feeding, and resource buffers — shared with implementation-planning
원문 언어: 영어
Build capability taxonomy, map existing benchmark coverage
원문 언어: 영어
Cluster papers by theme, method, or timeline. Produces natural groupings from a paper collection. Used by scoping-survey and narrative-review.
원문 언어: 영어
Classify candidates into predefined categories using ELECTRE-Tri, FlowSort, AHPSort, or DRSA methods.
원문 언어: 영어
Apply Checkland's CATWOE analysis from a specific stakeholder perspective to reveal how the problem looks from that viewpoint.
원문 언어: 영어
Trace UDE to root cause via IF...THEN...BECAUSE logic chains
원문 언어: 영어
Extract all causal claims (X causes Y, X leads to Y, X enables Y) from an artifact, producing a structured list of cause-effect pairs.
원문 언어: 영어
Tactic: Extract causal claims, evaluate probability of necessity (PN) and sufficiency (PS) for each, classify into necessity-sufficiency quadrants.
원문 언어: 영어
Build logical causal trees from symptoms to root causes — list UDEs, connect causal chains, validate logic, locate root causes. Combines ishikawa-decomposition, current-reality-tree, and clr-validation SOPs.
원문 언어: 영어
Non-threatening 'Why?' questioning of current practices (de Bono Challenge)
원문 언어: 영어
Non-threatening 'Why?' questioning of current practices to reveal historical accidents vs. genuine constraints.
원문 언어: 영어
Checkpoint state before risky operations, detect anomalies, and recover gracefully
원문 언어: 영어
Forward 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.
원문 언어: 영어
Build and analyze patent citation networks — main path analysis, PageRank, cluster detection
원문 언어: 영어
Deep claim scope analysis — decompose independent/dependent claims and assess protection scope breadth. Budget: 30 patent families, 30 claim parses, 20 web searches.
원문 언어: 영어
Strategy for extracting claims from source material — identify propositions, decompose compound claims, classify claim types, create claim pages in the vault.
원문 언어: 영어
Formally negate the core claim, producing the logical complement for reductio testing.
원문 언어: 영어
Patent claim syntax parsing — independent/dependent relationships and element extraction
원문 언어: 영어
Propose a refined claim that survives counterexamples while preserving maximum explanatory power (Lakatos lemma-incorporation).
원문 언어: 영어
IPC/CPC hierarchy drill-down and lateral expansion for patent discovery
원문 언어: 영어
Strategy: Lewis Possible Worlds — find the minimal change to reality that would flip the conclusion, measuring how close the nearest world where the conclusion fails.
원문 언어: 영어
Apply Goldratt's 8 Categories of Legitimate Reservation to validate causal claims. Tests clarity, existence, sufficiency, and logical integrity.
원문 언어: 영어
Identify natural opinion clusters from collected judgments and characterize each cluster.
원문 언어: 영어
Strategy for auditing preference consistency using Consistency Ratio, cycle enumeration, and mElo to detect and resolve intransitivities.
원문 언어: 영어