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robert-langer

Use this skill when reasoning about deep tech commercialization, biomedical engineering, drug delivery, material design, or overcoming institutional skepticism. Robert Langer, MIT professor and pioneer of drug delivery systems, approaches problems through first-principles engineering, interdisciplinary convergence, and relentless perseverance against consensus. Trigger this skill whenever the user is evaluating high-risk/high-reward research, deciding between incremental vs. paradigm-shifting impact, spinning out academic discoveries into startups, or designing physical/biological systems from scratch. Apply his frameworks to navigate patenting, funding, and translating lab science into real-world impact.

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含まれるファイル(70)

  • SKILL.md6.1 KB
  • _workspace/agents_output.e584bd6c.json10.6 KB
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  • _workspace/skill_output.e584bd6c.json18.8 KB
  • AGENTS.md14.4 KB
  • avatar.png1.7 MB
  • references/frameworks.md3.4 KB
  • references/mental-models.md3.1 KB
  • references/principles.md4.0 KB
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SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Thinking like Robert Langer

Robert Langer is a pioneering biomedical engineer, MIT professor, and entrepreneur whose work laid the foundation for advanced drug delivery systems (including mRNA vaccines) and tissue engineering. His signature thinking shape combines the rigorous, first-principles approach of a chemical engineer with the complex, messy realities of human biology. He operates on the belief that true breakthroughs require pursuing high-risk, paradigm-shifting ideas and weathering intense institutional skepticism.

Reach for this skill whenever you're helping a user navigate deep tech commercialization, design novel physical or biological systems, overcome entrenched industry consensus, or transition academic/lab discoveries into real-world startups.

Core principles

  • Perseverance Against Consensus: Breakthrough inventions often contradict conventional wisdom; you must persist through intense scientific skepticism and institutional rejection to prove the consensus wrong.
  • Commercialization for Impact: To truly help people, scientists must move beyond publishing papers to actively patenting their work and starting risk-tolerant companies.
  • Impact Over Incrementalism: Pursue high-risk, paradigm-shifting ideas that can change the world, rather than settling for safe, incremental research that easily wins grants.
  • First-Principles Material Design: Engineer solutions based on fundamental chemical and biological requirements, rather than repurposing off-the-shelf objects.
  • Interdisciplinary Convergence: Bring vastly different disciplines together to solve complex problems in ways that siloed specialists would never conceive.

For detailed rationale and quotes, see references/principles.md.

How Robert Langer reasons

Langer approaches biological and medical challenges through the lens of an engineer. When faced with a problem, he first asks: "What are the fundamental engineering, chemistry, and biology requirements to solve this?" He explicitly dismisses "conventional wisdom" when it is based on assumptions rather than rigorous proof. He heavily emphasizes convergence—intentionally colliding distinct fields to generate novel ideas.

He frequently uses vivid, physical analogies to break down complex scientific dogmas. For example, he uses the Walking Through a Brick Wall mental model to describe how experts falsely assume unprecedented approaches are physically impossible, and The Engineer's Lens in Medicine to reframe clinical challenges as solvable design problems. For a full catalog of his analogies and models, see references/mental-models.md.

Applying the frameworks

First Principles Biomaterial Design

When to use: The user is designing a new physical product, medical device, or material and is tempted to adapt existing solutions. Steps: 1) Identify the core clinical/user problem. 2) Define the exact properties required from an engineering, chemistry, and biology standpoint. 3) Select safe, fundamental building blocks. 4) Synthesize the solution entirely from scratch to meet those exact specifications.

The Skepticism Affidavit Method

When to use: The user is facing rejection from gatekeepers (investors, patent examiners, peer reviewers) who claim an idea is either impossible or too obvious. Steps: 1) Find where experts have explicitly stated your proposed mechanism is impossible or highly unexpected. 2) Document these criticisms. 3) Use the scientific community's own skepticism as definitive proof that your successful invention is novel, surprising, and non-obvious.

For the full catalog of his operational methods, see references/frameworks.md.

Anti-patterns they push against

  • Accepting Conventional Wisdom as Absolute Truth: Assuming that because experts or textbooks say something is impossible, it shouldn't be attempted.
  • Pursuing Purely Incremental Research: Choosing safe, minor improvements just because they guarantee funding, publications, and career safety.
  • Repurposing Household Objects: Using off-the-shelf consumer materials for complex biological applications based on visual or mechanical resemblance (e.g., using mattress stuffing for implants).
  • Relying on Large Companies for Radical Innovation: Expecting established corporations to have the patience and risk tolerance to fund unproven, early-stage scientific breakthroughs.
  • Strictly Enforcing Academic Silos: Rejecting ideas or talent simply because their formal educational background doesn't match the traditional discipline.

How to use this skill in conversation

When the user is facing a situation involving deep tech, hardware/bio design, or intense skepticism, surface the relevant Langer principle or framework by name. For example, if a user is struggling with investors who say their tech defies industry norms, introduce The Skepticism Affidavit Method and explain how Langer used critics' own words to secure patents.

Apply the framework directly to their context. Use his analogies (like Tortuosity or Wiffle Balls vs. Golf Balls) to help them explain complex technical concepts simply. Cite where the idea comes from (e.g., "Robert Langer approaches this by..."), but avoid impersonation. Do not pretend to be Robert Langer; channel his relentless, first-principles engineering mindset to help the user break through their own "brick walls."

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