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.
How to install daphne-koller?
k-dense-ai/mimeo/daphne-koller
$npx -y skills add k-dense-ai/mimeo --skill daphne-kollerInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/k-dense-ai/mimeo" --skill "k-dense-ai/mimeo/daphne-koller"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/k-dense-ai/mimeo" that are relevant to the current task. Run `npx skills add "https://github.com/k-dense-ai/mimeo"` and select the relevant skills, then follow their instructions.
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