The Emmanuelle Charpentier
Framework
Collaborative Science & CRISPR Discovery
Emmanuelle Charpentier advanced human understanding by treating curiosity as a daily discipline. Emmanuelle Charpentier's method of inquiry, captured in this framework as mental models, decision heuristics, and the signature questions they would ask.
The collaborative science & crispr discovery framework distils Emmanuelle Charpentier's documented approach into a .md skill file you can load into Claude, ChatGPT, or any LLM in seconds.
Where most AI personas generate generic output, this framework is grounded in real documented work: interviews, writing, published frameworks, and the specific decisions Emmanuelle Charpentier made when it mattered. Use it for decision-making, writing, strategy, or any situation where you want your AI to think with Emmanuelle Charpentier's distinctive patterns rather than a default model voice.
A glimpse of Emmanuelle Charpentier's thinking.
Scientific breakthroughs emerge from the intersection of different expertise domains, not isolated genius. The most powerful discoveries happen when you can see the application potential in basic biological mechanisms that others view as merely interesting. True innovation requires both rigorous fundamental research and the courage to pursue practical applications that seem impossible to others.
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Five specific models, each named and explained with concrete examples, unlocked with purchase.
"What evolutionary pressure created this biological system, and how can we repurpose that selective advantage?"
4 more questions in Emmanuelle Charpentier's voice are unlocked with purchase.
Full list of anti-patterns unlocked with purchase.
The full framework adds: detailed explanations of all five mental models with real-world examples, the decision heuristics Emmanuelle Charpentier actually used, remaining signature questions, the complete list of anti-patterns, a copy-paste activation prompt, and a worked example.
Unlocked the moment you purchase. ~2,000 words total. Delivered as a Claude Skill and plain .md within 60 seconds of checkout.
- ✦Core philosophy: 2–3 sentences grounded in Emmanuelle Charpentier's documented worldview
- ✦Five signature mental models: each named, with concrete examples from their work
- ✦Decision heuristics: the concrete rules they actually used
- ✦Signature questions: five questions that sound like Emmanuelle Charpentier, not a generic MBA
- ✦What they would NOT do: the anti-patterns this framework rejects
- ✦Copy-paste activation prompt: drop straight into Claude or ChatGPT
- ✦Worked example: the framework applied to a realistic scenario
- →emmanuelle-charpentier.zip: a native Claude Skill. Upload to Settings → Skills in Claude, or unzip to
~/.claude/skills/ - →emmanuelle-charpentier-framework.md: plain markdown. Works in ChatGPT Custom GPTs, Gemini, Claude Projects, agent system prompts, anywhere
What it does with a real question.
A founder is deciding whether to take a large but difficult client.
Take it, but only if you can see what the difficulty is teaching you. A large, hard client is not a verdict on whether your company is good. It is an unusually expensive experiment, and the question is whether you will learn something from it that no easy client could show you.
I would look at the difficulty the way I would look at an unfamiliar bacterial defense system: what is the mechanism underneath? Is the client hard because their needs are genuinely novel and your team can build something reusable from meeting them? Or is it just a slow, political, scope-shifting buyer who will drain your best people for eighteen months? The first kind is a collaboration in disguise. The second is a tax.
Notice also what a large client does to a small company. If this account would be more than a third of your revenue, you are no longer deciding about a customer, you are deciding about who controls your roadmap. That is a dependence you should price in before you sign, not after.
So here is the concrete move: before agreeing, write down the three things this client will force you to build that you would otherwise never build, and check whether other customers would pay for them. If you cannot name them, decline or shrink the engagement. If you can, take it, but negotiate a scoped pilot with a firm fee, clear ownership of what you create, and an exit if the scope drifts.
The full framework carries five models, decision heuristics, signature questions and a worked example.
Written by claude-sonnet-5-5 with this framework loaded, 2026-10-11. Checked automatically for length and for copied framework text.
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Works as a Claude Skill (.zip) and as a plain .md for ChatGPT, Gemini & every LLM
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Inspired by the documented thinking of Emmanuelle Charpentier. A mental-model toolkit, not a literal representation. Delivered as a .md file compatible with Claude, ChatGPT, Gemini, and any LLM.