Reassemble decomposed system fragments into novel structural arrangements that create emergent value.
原文の言語: 英語
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このリポジトリの skills
SkillsMP は yogsoth-ai/creative-ideation から 188 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/creative-ideation収集済み skill 188 件中 28 件を表示しています。
Reassemble decomposed system fragments into novel structural arrangements that create emergent value.
原文の言語: 英語
Execute SCAMPER 7 operators on a target solution. Subagent self-selects best 2-3 operators for deepest exploration.
原文の言語: 英語
7 operators (Substitute/Combine/Adapt/Modify/Put/Eliminate/Reverse) for systematic transformation of existing solutions.
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
Decompose systems into components and reassemble via SCAMPER, SIT, TRIZ, and recombination. Campaign orchestrating 5 strategies for systematic structural transformation.
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
Execute component surgery operations (subtract/multiply/divide/unify/redirect) from Systematic Inventive Thinking.
原文の言語: 英語
Progressively remove components from a system while verifying function preservation through redistribution.
原文の言語: 英語
Resolve technical and physical contradictions via TRIZ 40 inventive principles and separation methods.
原文の言語: 英語
Select inventive principles from the contradiction matrix and generate concrete solutions for identified contradictions.
原文の言語: 英語
Extract transferable structural principles from source domains. Orchestrates source identification → abstraction → structural mapping → transfer validation.
原文の言語: 英語
Systematically enumerate parameter dimensions and generate viable combinations. Orchestrates parameter extraction → value enumeration → compatibility assessment → synthesis.
原文の言語: 英語
Multi-dimensional evaluation and tiered filtering of generated ideas. Orchestrates novelty assessment → feasibility check → ranking → selection.
原文の言語: 英語
Generate PO provocations and extract constructive movement. Orchestrates assumption surfacing → provocation creation → movement extraction → idea formation.
原文の言語: 英語
Enumerate implicit assumptions in a problem statement or existing solution. Produces categorized assumption inventory (physical, social, temporal, economic, technical).
原文の言語: 英語
Inject artificial constraints to force creative divergence. Generates and applies constraints (resource, time, material, audience, scale) to existing ideas to produce variants.
原文の言語: 英語
Scan distant domains for transferable principles. Uses web-search and paper-overview to identify analogous solutions in unrelated fields.
原文の言語: 英語
Synthesize diverse ideas into coherent solution concepts. Combines fragments from multiple ideation passes into structured, actionable ideas with clear mechanism descriptions.
原文の言語: 英語
Score ideas on novelty dimensions — structural distance from known solutions, conceptual surprise, domain-crossing depth. Produces ranked novelty assessment.
原文の言語: 英語
Identify the key parameters/dimensions of a problem space. Produces a structured parameter list with value ranges for morphological analysis.
原文の言語: 英語
Generate PO (Provocative Operation) statements per de Bono's lateral thinking. Creates deliberately illogical provocations to escape dominant thinking patterns.
原文の言語: 英語
Use random word/concept injection as creative stimulus. Selects random concepts and forces connection to the problem space, generating unexpected solution paths.
原文の言語: 英語
Determine when additional ideation yields diminishing returns. Analyzes latest idea batch against existing corpus to judge continue/near-saturation/saturated.
原文の言語: 英語
Abstract-level paper scanning for broad coverage. Import of literature-engine/literature-overview skill. Abstract-level only — no methodology conclusions from abstracts.
原文の言語: 英語
Deep paper analysis with full text reading. Import of literature-engine/literature-research skill. Full text access — required for quoting results, verifying claims, extracting detailed methodology.
原文の言語: 英語
Mid-depth paper analysis via AI-generated summaries. Import of literature-engine/literature-search skill. Reads AI summary — sufficient for methodology understanding but not for quoting specific results.
原文の言語: 英語
Deep web page analysis with full content extraction. Import of web-browsing/web-research skill. Must fetch full page via apify — no shortcuts.
原文の言語: 英語
Quick web scanning for landscape understanding. Import of web-browsing/web-search skill. Snippets only — no conclusions from snippets alone.
原文の言語: 英語