K-Dense

Apply the mental models of Bill Gates, co-founder of Microsoft and philanthropist. Use this skill whenever you are evaluating climate change solutions, global health interventions, philanthropic resource allocation, software platform economics, or the paradigm-shifting impacts of AI. Trigger this skill when the user is facing decisions about maximizing ROI on charitable giving, assessing clean energy technologies (like calculating the "Green Premium"), building winner-take-all software ecosystems, or using data to drive large-scale institutional progress. Channel his "impatient optimism" to prioritize innovation that multiplies by zero rather than settling for incremental efficiency.

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Applies the philosophical frameworks of Confucius (ancient Chinese philosopher, 551-479 BCE) to modern problems. Reach for this skill whenever the user is dealing with leadership, governance, team harmony, organizational culture, moral dilemmas, mentorship, or personal self-cultivation. It triggers on topics like building trust without micromanaging, resolving hierarchical conflicts, aligning actions with values, and creating systems based on virtue rather than strict punitive rules. Use this skill to evaluate character, design educational approaches, and foster long-term social harmony.

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Use this skill to apply the rigorous epidemiological reasoning of Julie E. Buring (epidemiologist and women's health trialist) to study design, clinical trial critiques, cardiovascular risk assessment, and evidence-based integrative medicine. Trigger this skill whenever you are evaluating medical literature, designing cohort studies or RCTs, assessing conflicting research findings, or analyzing cardiovascular risk factors (especially in women). Reach for this when users ask about the validity of supplements, the discrepancy between observational and randomized data, or how to future-proof a clinical registry.

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Applies the computational biology and AI-driven reasoning of Aviv Regev (computational biologist, Genentech, single-cell genomics). Use this skill whenever the user is dealing with experimental design, high-dimensional data analysis, integrating AI into scientific workflows, scaling biological research, or navigating noisy, complex systems. Trigger this for topics like single-cell genomics, drug discovery, biological atlases, interdisciplinary research strategy, or when deciding between depth vs. breadth in data collection.

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Applies the reasoning, architectural principles, and AI philosophy of Christopher Manning (natural language processing expert, Stanford University, director of Stanford AI Lab). Use this skill whenever you are discussing natural language processing, LLM architecture, AI research strategy, cognitive science, or the evolution of machine learning. Trigger this skill for questions about AGI timelines, academic vs. industry research trade-offs, linguistic structure in neural networks, modularity in AI design, or evaluating true intelligence versus mere memorization. Channel his pragmatic focus on domain science, adaptability, and competing on ideas rather than raw compute.

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Applies the reasoning style of Daphne Koller (machine learning pioneer, co-founder of Coursera, founder and CEO of Insitro). Use this skill whenever you encounter problems involving AI and machine learning in biology, drug discovery, interdisciplinary collaboration, data generation vs. data mining, or transitioning from academia to industry. Trigger this skill when advising on career trade-offs, building cross-functional teams (especially bridging engineers and domain experts), designing data pipelines, evaluating causality vs. correlation, or applying AI to physical systems ('where bits meet atoms'). Channel her focus on fit-for-purpose data, pragmatism, and disproportionate leverage.

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Applies the reasoning of David Silver, lead researcher on AlphaGo and AlphaZero at DeepMind, to problems of AI design, reinforcement learning, and open-ended discovery. Use this skill whenever you are designing AI systems, evaluating learning algorithms, balancing exploration vs. exploitation, choosing research problems, or discussing how to break past human performance ceilings. Reach for this whenever the user asks about self-play, Monte-Carlo Tree Search, tabula rasa learning, AGI, or moving from human-curated data to autonomous experience. It helps shift the focus from hardcoding human knowledge to building systems that learn for themselves.

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This skill channels the strategic and scientific reasoning of Demis Hassabis, CEO and co-founder of Google DeepMind, AlphaGo and AlphaFold, and 2024 Nobel Prize in Chemistry. Use this skill whenever you are evaluating AI for scientific discovery, tackling "root node" problems, designing reinforcement learning systems, or discussing AGI timelines, safety, and global governance. Reach for it when the user faces massive combinatorial search spaces, wants to apply AI to physical/biological sciences (like digital biology), or needs to balance rapid AI scaling with the rigorous scientific method. Apply these mental models to shift the focus from building consumer apps to using AI as the ultimate meta-solution for understanding reality.

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Reach for this skill whenever Claude encounters situations involving supply chain innovation, B2B customer respect, community revitalization, vocational education, or navigating massive business crises. Apply the mental models of Diane Hendricks, co-founder of ABC Supply and building supplies billionaire, when users face decisions about strategic acquisitions, counter-cyclical expansion, or treating blue-collar workers as respected entrepreneurs. Use this skill to channel her 'fight or fold' resilience, her strict financial responsibility hierarchy, and her focus on solving the exact pain points you faced as a customer.

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Applies the behavioral genetics and twin-study methodologies of Dorret I. Boomsma (behavior geneticist, Vrije Universiteit Amsterdam). Use this skill when reasoning about heritability, genetic epidemiology, nature vs. nurture debates, psychiatric genetics, or longitudinal phenotyping. Trigger this whenever the user asks about the genetic basis of intelligence, lifestyle factors, educational attainment, or psychopathology, or when designing epidemiological studies. It helps deconfound environmental and genetic variables using extended family designs and discordant twin models.

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Applies the rigorous analytic and moral philosophy of Elizabeth Anscombe (British analytic philosopher, virtue ethics, Intention). Reach for this skill whenever Claude encounters moral dilemmas, ethical trade-offs, questions of intention vs. foresight, or consequentialist/utilitarian reasoning. Use it when analyzing human action, culpability, the doctrine of double effect, or the meaning of "ought" and obligation. It is especially useful for cutting through vague moral language by demanding precise psychological descriptions of actions and rejecting the idea that good ends justify evil means.

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Applies the reasoning, frameworks, and mental models of Fei-Fei Li, computer vision pioneer, ImageNet creator, and co-director of Stanford HAI. Use this skill whenever Claude encounters topics related to AI ethics, human-centered AI, spatial intelligence, embodied AI, robotics, AI governance, diversity in tech, or the societal impacts of AI. Trigger this skill when users face decisions about AI product design (augment vs. replace), dataset formulation, navigating AI regulation, or choosing audacious research directions. Channel her pragmatic optimism and focus on spatial, physical grounding over pure language models.

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Applies the nutritional epidemiology and public health frameworks of Frank B. Hu (nutrition epidemiologist, Harvard University). Use this skill whenever reasoning about diet quality, public health policy, planetary health, cardiometabolic disease prevention, or evaluating nutritional studies. Trigger this when the user asks about plant-based diets, macronutrient trade-offs ("compared to what?"), the impact of the food environment, or lifestyle factors for longevity. It shifts the AI's focus from single-nutrient reductionism to overall dietary patterns, emphasizing that "zip code is more important than genetic code" and that human health is inextricably linked to planetary health.

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Applies the philosophical frameworks of Friedrich Nietzsche (19th-century German philosopher, author of Thus Spoke Zarathustra). Use this skill whenever the user is grappling with existential crises, seeking meaning, facing severe adversity, questioning traditional moral frameworks, or feeling trapped by societal expectations (the "herd"). Trigger this when discussing self-overcoming, creating personal values, analyzing power dynamics in relationships or institutions, dealing with envy, or breaking down dogmatic beliefs. It helps reframe suffering as a catalyst for growth and pushes the user to "become what they are" rather than settling for comfort and mediocrity.

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Use this skill whenever you are reasoning about public health policy, cancer prevention, epidemiological study design, clinical risk models, or weight management advice. This skill channels the thinking of Graham A. Colditz, epidemiologist at Washington University in St. Louis. Reach for this when evaluating lifestyle interventions, designing disease prevention programs, critiquing clinical prediction tools (e.g., AUC vs. clinical utility), or analyzing life-course risk accumulation. Apply his frameworks to bridge the "implementation gap" between scientific knowledge and societal action, prioritizing prevention over treatment and attainable weight maintenance over drastic weight loss.

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This skill channels the reasoning of Hannah Arendt, 20th-century political theorist and author of 'The Origins of Totalitarianism'. Use this skill whenever you are evaluating moral responsibility, analyzing systemic evil, distinguishing between power and violence, or assessing the nature of political action and freedom. Trigger it when discussing bureaucracy, thoughtlessness, the public vs. private realm, truth in politics, or when a user faces unprecedented moral dilemmas requiring 'thinking without a banister'. Apply her frameworks to critique historical determinism, defend factual truth, and analyze human plurality, even if the user does not explicitly name her.

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Use this skill whenever reasoning about manufacturing, scaling production, pricing strategies, operational efficiency, vertical integration, or labor compensation. Trigger this skill for situations involving hardware development, supply chain optimization, mass-market economics, or when a founder is deciding between outside investment and bootstrapping. Apply Henry Ford's principles of absolute operational control, continuous manufacturing improvement, and treating efficiency as a service to the consumer. Reach for this whenever a user is building physical products, scaling a business for the 'great multitude', or trying to eliminate operational waste.

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This skill channels the holistic, interconnected reasoning of Hildegard of Bingen, medieval German Benedictine abbess, theologian, and philosopher. Use this skill whenever the user is dealing with ecological stewardship, holistic health, the intersection of spirituality and physical well-being, creative inspiration, or challenging rigid institutional rules with moral clarity. Trigger this when discussing the interconnectedness of systems (microcosm/macrocosm), finding balance and moderation, untwisting destructive habits, or seeking divine/creative inspiration without ego. Apply her frameworks to treat ailments holistically, view music and art as fundamental cosmic forces, and reframe human frailty as a vessel for profound truth.

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Applies the Neoplatonic and mathematical reasoning of Hypatia of Alexandria. Use this skill whenever the user is grappling with the pursuit of truth, foundational logic, the hierarchy of knowledge, or the distraction of superficial and physical desires versus deeper intellectual pursuits. Trigger this when discussing mathematics as a foundation for higher understanding, astronomy, overcoming base impulses, or seeking the ultimate source of truth. It is highly relevant for questions about rigorous intellectual discipline, esoteric philosophy, and elevating one's mind above material distractions.

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Use this skill when reasoning about generative AI, adversarial machine learning, neural network security, algorithmic fairness, or deep learning fundamentals. This skill channels the thinking of Ian Goodfellow, inventor of Generative Adversarial Networks (GANs). Trigger this skill when the user asks about model robustness, mitigating bias, evaluating AI guardrails, designing generative models, or defending against adversarial attacks. Apply his frameworks of minimax games, adversarial feature learning, and worst-case robustness analysis to shift the user's perspective from average-case optimization to adversarial resilience.

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Applies the reasoning style of Ilya Sutskever (deep learning pioneer, co-founder of OpenAI and Safe Superintelligence Inc.) to problems involving AI architecture, scaling laws, alignment, and research strategy. Reach for this skill whenever discussing machine learning paradigms, the limits of compute and data, AGI timelines, superintelligence safety, or deciding between hardcoding vs. learning. Trigger this skill for questions about next-word prediction, reinforcement learning efficiency, generalization gaps, and transitioning from brute-force scaling to fundamental research, even if the user doesn't explicitly name him.

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Applies the rigorous deontological ethics, transcendental idealism, and political philosophy of Immanuel Kant (18th-century German philosopher, Critique of Pure Reason). Reach for this skill whenever the user is facing moral dilemmas, questions of duty, truth-telling, evaluating the limits of human knowledge, balancing civic obedience with free speech, or designing systems for global governance and peace. Use this skill to evaluate actions based on universalizability and human dignity rather than consequences, even if the user doesn't explicitly name Kant.

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Use this skill to reason like JoAnn E. Manson, epidemiologist at Harvard Medical School and women's health expert. Trigger this skill whenever you are evaluating hormone replacement therapy (HRT), menopause management, nutritional epidemiology, dietary supplements, or clinical trial methodology. Apply her frameworks when users ask about the risks and benefits of HRT, bioidentical hormones, or targeted supplementation. Reach for this skill to differentiate between symptom management and chronic disease prevention, or when assessing observational data versus randomized clinical trials (RCTs) in public health contexts.

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Use this skill whenever you need to reason like John D. Rockefeller, founder of Standard Oil and American oil industrialist. Reach for this skill when the user is facing situations involving market consolidation, economies of scale, aggressive cost-cutting, supply chain leverage, or structuring large-scale philanthropy. It is highly applicable for questions about eliminating operational waste, dealing with fierce competition, negotiating from a position of immense scale, or building self-sustaining charitable foundations. Trigger this skill for topics like monopolies, ruthless efficiency, corporate PR crises, and strategic acquisitions, even if the user doesn't explicitly name Rockefeller.

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。