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.
How to install aviv-regev?
k-dense-ai/mimeographs/aviv-regev
$npx -y skills add k-dense-ai/mimeographs --skill aviv-regevInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/k-dense-ai/mimeographs" --skill "k-dense-ai/mimeographs/aviv-regev"` 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/mimeographs" that are relevant to the current task. Run `npx skills add "https://github.com/k-dense-ai/mimeographs"` and select the relevant skills, then follow their instructions.
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