「analogie」の検索結果

Ideenschürf-Workflow für festgefahrene, schwere Probleme (Beweise, Forschungsfragen, hartnäckige Design-/Architekturprobleme): einen Ideenspeicher über acht Schürftechniken füllen (Wiedererkennung, Fern-Disziplin-Analogie, Alltags-Allegorie, Störgefühl/Ästhetik, Märchen-Reframing, Web-/Literatur-Recherche, Geschwisterprojekte, Bestandsquerlauf), dann gegen bereits Versuchtes filtern, eine Idee wählen und bis zur Substanz verfolgen. Nutze diesen Skill, wenn ein Problem trotz mehrerer Anläufe feststeckt, wenn „neue Ideen für X" gebraucht werden, bei „wir drehen uns im Kreis", oder für periodische Innovations-Läufe über ein Projekt. Für breites, freies Ideensammeln ohne festgefahrenes Problem stattdessen brainstorm (SCAMPER, Six Hats etc.).

日本語の概要は準備中です。原文の説明を表示しています。

Turn any concept, lesson, slide deck, or source material into a Feynman learning cycle in which learners explain first, expose the smallest gap, rebuild the explanation through Socratic prompts, strip jargon, stress-test analogies, and transfer the idea to a new context. Use when the user asks for teach-back, learning by explaining, or a Feynman-style classroom. Do not use when the Feynman technique itself is merely the lesson topic or when study strategy should remain a parallel goal.

日本語の概要は準備中です。原文の説明を表示しています。

Skill for adding or updating system design guides tailored for college students and beginners, using simple analogies and no simulations.

日本語の概要は準備中です。原文の説明を表示しています。

Introduce people to AI, agentic AI, and AI skills with appropriate pedagogy for any audience. Covers LLM analogies, progressive complexity paths, aha-moment demos, audience-tailored explanations, workshop design, and overcoming emotional barriers to AI adoption. Activate on 'explain AI', 'introduce AI', 'AI workshop', 'AI demo', 'teach AI', 'AI literacy', 'onboard to AI', 'AI evangelism', 'explain agentic', 'explain skills to', 'AI training session', 'AI onboarding'. NOT for teaching ML engineering (use ai-engineer), not for building AI features (use ai-engineer), not for prompt engineering (use prompt-engineer), not for building training data pipelines.

日本語の概要は準備中です。原文の説明を表示しています。

Use for first principles thinking, or when the user questions an inherited default: "why do we do it this way?", "is this cost really necessary?", "should we copy what competitors do?". Strips analogies and rebuilds from fundamentals. Skip for convention-following checklists.

日本語の概要は準備中です。原文の説明を表示しています。

Explain code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"

日本語の概要は準備中です。原文の説明を表示しています。

Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"

日本語の概要は準備中です。原文の説明を表示しています。

Defensive counterpart to federated-harbor-redteam: closes the smells that red team opens against The Federated Harbor whitepaper. Federation-specific defenses for cross-harbor primitives — mechanization commitments, scope hedges, cross-paper dependency formalization, pre-emptive analogies (CT, Macaroons, atomic swaps), and defense-in-depth framing (refuses vs prices). Use during a versioned red-vs-white round; pairs with federated-harbor-redteam. NOT for ad-hoc code review, NOT for the Anchor or Bonded papers (use whitehat-defense).

日本語の概要は準備中です。原文の説明を表示しています。

Introduce people to AI, agentic AI, and AI skills with appropriate pedagogy for any audience. Covers LLM analogies, progressive complexity paths, aha-moment demos, audience-tailored explanations, workshop design, and overcoming emotional barriers to AI adoption. Activate on 'explain AI', 'introduce AI', 'AI workshop', 'AI demo', 'teach AI', 'AI literacy', 'onboard to AI', 'AI evangelism', 'explain agentic', 'explain skills to', 'AI training session', 'AI onboarding'. NOT for teaching ML engineering (use ai-engineer), not for building AI features (use ai-engineer), not for prompt engineering (use prompt-engineer), not for building training data pipelines.

日本語の概要は準備中です。原文の説明を表示しています。