Cet Skill
mingchen666/Reviva
CET-4 and CET-6 exam preparation coach for original CET-style practice, diagnostic feedback, writing and translation correction, reading/listening drills, and study planning.
A skill your agent uses when reasoning about deep tech commercialization, biomedical engineering, drug delivery, material design, or overcoming institutional skepticism.
Install Robert Langer
$ npx skills add K-Dense-AI/mimeographs --skill robert-langer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/mimeographs robert-langer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mimeographs/robert-langer .claude/skills/robert-langer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "robert-langer" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/robert-langer into .claude/skills/robert-langer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robert-langer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/robert-langerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add K-Dense-AI/mimeographs --skill robert-langer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/mimeographs robert-langer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .agents/skills && cp -r skills-src/mimeographs/robert-langer .agents/skills/robert-langer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "robert-langer" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/robert-langer into .agents/skills/robert-langer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robert-langer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add K-Dense-AI/mimeographs --skill robert-langer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/mimeographs robert-langer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/mimeographs/robert-langer .cursor/skills/robert-langer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "robert-langer" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/robert-langer into .cursor/skills/robert-langer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robert-langer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/K-Dense-AI/mimeographs.git --path mimeographs/robert-langer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add K-Dense-AI/mimeographs --skill robert-langer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/mimeographs robert-langer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/mimeographs/robert-langer .gemini/skills/robert-langer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "robert-langer" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/robert-langer into .gemini/skills/robert-langer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robert-langer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install K-Dense-AI/mimeographs robert-langerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add K-Dense-AI/mimeographs --skill robert-langer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .github/skills && cp -r skills-src/mimeographs/robert-langer .github/skills/robert-langer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "robert-langer" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/robert-langer into .github/skills/robert-langer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robert-langer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add K-Dense-AI/mimeographs --skill robert-langer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install K-Dense-AI/mimeographs robert-langer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/mimeographs/robert-langer .opencode/skills/robert-langer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "robert-langer" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/robert-langer into .opencode/skills/robert-langer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "robert-langer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
robert-langer- GitHub stars
- 129
- Token cost
- ~1.6k tokens
- SKILL.md length
- 714 words
- Files
- 72 (incl. references)
- Skills in repo
- 60
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when reasoning about deep tech commercialization, biomedical engineering, drug delivery, material design, or overcoming institutional skepticism.
- Reasoning about deep tech commercialization
- SKILL.md covers Core principles, How Robert Langer reasons, Applying the frameworks and Anti-patterns they push against, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Biomedical engineering
What it does
Robert Langer is an agent skill from K-Dense-AI/mimeographs. 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…
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 74 other files, including reference files (for example `AGENTS.md`, `_workspace/agents_output.e584bd6c.json` and `_workspace/clustered_corpus.e584bd6c.json`).
It sits in Writing & Content, covering Translation. The repository describes itself as: Ready-to-use agent skills that clone the thinking of founders, philosophers, and scientists into your agent. Generated with K-Dense-AI/mimeo. The licence is MIT.
When your agent uses it
- Reasoning about deep tech commercialization
- Biomedical engineering
- Material design
- Overcoming institutional skepticism
Example prompts
- “/robert-langer”
What it can do on your machine
Read from SKILL.md and the folder at commit a38f5fc. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Robert Langer loads about 1.6k tokens when it runs, and up to ~5.7k if it reads all its reference files. Until then it costs about 182 tokens; SKILL.md has 714 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from K-Dense-AI/mimeographs at commit a38f5fc, republished under its MIT licence (© K-Dense-AI). 714 words, ~1,550 tokens.
Download SKILL.mdSave it as
.claude/skills/robert-langer/SKILL.md (or your agent's skills folder). This skill also uses 71 other files; get the full folder from GitHub.- name
- robert-langer
- description
- 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.
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.
Show full SKILL.md (311 more words)Show less
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."
© K-Dense-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 71 other files (references) in mimeographs/robert-langer of K-Dense-AI/mimeographs.
- SKILL.md
- AGENTS.md
- _workspace/agents_output.e584bd6c.json
- _workspace/clustered_corpus.e584bd6c.json
- _workspace/discovery/books.json
- _workspace/discovery/essays.json
- _workspace/discovery/frameworks.json
- _workspace/discovery/interviews.json
- _workspace/discovery/letters.json
- _workspace/discovery/papers.json
- _workspace/discovery/podcasts.json
- _workspace/discovery/ranked_sources.e584bd6c.json
- _workspace/discovery/talks.json
- _workspace/distilled/src_001.e584bd6c.json
- _workspace/distilled/src_005.e584bd6c.json
- _workspace/distilled/src_007.e584bd6c.json
- _workspace/distilled/src_009.e584bd6c.json
- _workspace/distilled/src_010.e584bd6c.json
- … and 54 more
Open the folder on GitHubat commit a38f5fc
Compare with similar skills
Robert Langer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Robert Langer this skillK-Dense-AI/mimeographs | 129 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Cet Skillmingchen666/Reviva | 241 | — | ~6.4k | Automated safety check: Pass | MIT | |
| Jev Question Translatorlawve-ai/awesome-legal-skills | 842 | — | ~6.9k | Automated safety check: Pass | Apache-2.0 | |
| Translation Diff ExportDevolutions/UniGetUI | 26k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Sync Translationssymfony/symfony | 31k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Translation Diff ImportDevolutions/UniGetUI | 26k | — | ~750 | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Robert Langer
What does Robert Langer do?
A skill your agent uses when reasoning about deep tech commercialization, biomedical engineering, drug delivery, material design, or overcoming institutional skepticism. Robert Langer is an agent skill from K-Dense-AI/mimeographs. Use this skill when reasoning about deep tech commercialization, biomedical engineering, drug delivery, material design, or overcoming institutional skepticism.
When should I use Robert Langer?
Robert Langer fits situations like: reasoning about deep tech commercialization; biomedical engineering; material design; overcoming institutional skepticism.
How do I install Robert Langer in Claude Code?
Run `npx skills add K-Dense-AI/mimeographs --skill robert-langer -a claude-code`. Or copy the skill folder (mimeographs/robert-langer in K-Dense-AI/mimeographs) into .claude/skills/robert-langer in your project. Claude Code loads it when a task matches its description.
How do I install Robert Langer in Codex?
Run `npx skills add K-Dense-AI/mimeographs --skill robert-langer -a codex`. Or copy the skill folder (mimeographs/robert-langer in K-Dense-AI/mimeographs) into .agents/skills/robert-langer in your project. Codex loads it when a task matches its description.
Can I use Robert Langer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add K-Dense-AI/mimeographs --skill robert-langer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/robert-langer, .gemini/skills/robert-langer, .github/skills/robert-langer and .opencode/skills/robert-langer in your project.
What does Robert Langer need to run?
SKILL.md names no scripts, command-line tools or credentials: Robert Langer is instructions for the agent only.
Does Robert Langer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Robert Langer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Robert Langer use?
Robert Langer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Robert Langer use?
About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.2k tokens, read only when the agent opens those files.
What are the alternatives to Robert Langer?
Skills that share tags, products or a category with Robert Langer: Cet Skill (mingchen666/Reviva, 241 stars), Jev Question Translator (lawve-ai/awesome-legal-skills, 842 stars), Translation Diff Export (Devolutions/UniGetUI, 26k stars) and Sync Translations (symfony/symfony, 31k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Robert Langer?
K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/mimeographs, which has 129 GitHub stars. The repository holds 60 skills in this directory. The repository was last updated on August 18, 2026.
Source: K-Dense-AI/mimeographs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.